Book of Abstracts

ICITE 2022 DAVAO CITY NOVEMBER 27-29, 2022 B OOK OF ABSTRACTS

2022 International Conference on Information Technology Education (ICITE 2022) 2022 International Conference on Information Technology Education (ICITE 2022) Mapua Malayan Colleges - Mindanao November 27 - 29, 2022 Co-sponsored by:

2022 International Conference on Information Technology Education (ICITE 2022) General Information of Conference Message from the President ...................................... 3 Message from the Conference Chair ............................. 4 Conference Venue .................................................. 5 PSITE National Board of Trustees 2022-2023 ............................................................ 6 Agenda Overview Authors' Presentations .................................... 7 - 16 Authors' Presentations Session I: Computer Science ............................ 17 - 22 Session II: Computer Science ........................... 23 - 28 Session III: Information Technology ................... 29 - 35 Session IV: Information Technology ................... 36 - 41 Session V: Multimedia Computing and Information System ................................. 42 - 48 Session VI: Online ........................................ 49 - 55 Session VII: Online........................................ 56 - 62

2022 International Conference on Information Technology Education (ICITE 2022) Message from the President Research is not only a crucial aspect of life, but also a responsibility that can create new perspectives and lead to transformative breakthroughs. As such, strengthening research capability is a core mission of the Philippine Society of Information Technology Educators (PSITE). The organization holds an annual research conference to provide a platform for educators to share their innovative ideas and discoveries in various domains, including computer science, information technology, information systems, and multimedia systems. To ensure the production of high-quality research work, PSITE continuously develops plans to improve its services. These initiatives include conducting research training workshops and mentoring, ensuring a rigorous selection process, obtaining an ISSN for online publication of the books of abstracts, and collaborating with international counterparts to publish scholarly research work in reputable journals. All these efforts are aimed at increasing research production in the country and achieving PSITE's long-term goal of producing its own journal. PSITE expresses its heartfelt appreciation to all the contributors to the ICITE 2022 book of abstracts. Your research output provides valuable insights and challenges researchers to delve into new concepts and ideas. Moreover, this research work is highly valued as the output of our member educators' perseverance, dedication, and commitment to excellence. Congratulations to all the researchers, and thank you for your trust and confidence in the organization. Keep on doing research and be a catalyst for change. Sincerely, Dr. Anna Liza A. Ramos PSITE National President 2022-2023 3

2022 International Conference on Information Technology Education (ICITE 2022) Message from the Conference Chair The 2022 International Conference on IT Education has been hosted by Mapua Malayan Colleges Mindanao, in cooperation with PSITE Region 11 - Davao Region. With the theme \"Promoting Science, Innovation, and Technology Education through Research”, the 3rd International Conference on IT Education (ICITE 2022) provided a forum to about 200 delegates to exchange the latest fundamental advances in the practice of computing, advanced technologies, innovative research, and to present their latest research results. The conference included 4 concurrent sessions in the field of computer science, information technology, information systems, and entertainment and multimedia computing. I sincerely thank the presenters, participants, and sponsors who contributed magnificently to the success of the conference. Mapua Malayan College Mindanao, the host school, and PSITE R11, I am extremely appreciative to you all for such a well planned, well-executed, and enjoyable conference. Kudos to all! Dr. Chuchi Montenegro Conference Chair 4

2022 International Conference on Information Technology Education (ICITE 2022) Conference Venue Mapua Malayan Colleges - Mindanao https://mcm.edu.ph/ Address: Gen. Douglas MacArthur Hwy, Matina, Davao City 8000 Davao del Sur, Philippines Contact numbers: 0918 918 1626, 0999 227 7493, 0917 831 8048 Mapúa Malayan Colleges Mindanao is a branch encompassing Mapua University’s technological and academic excellence in Mindanao. The school officially began operations on July 2, 2018, and was followed by its official inauguration ceremony on July 7, 2018. 5

2022 International Conference on Information Technology Education (ICITE 2022) 6

2022 International Conference on Information Technology Education (ICITE 2022) Authors' Presentations Time: 8:00 - 11:20 08:00-11:00 Session I: Computer Science Venue: RM 307 Session Chair: Dr. Roselie B. Alday Dr. Anna Liza A. Ramos Prof. Iglesias 08:00-08:20 Supervised Machine Learning : An approach in predicting the 1626 adaptability level of diverse learners Dr. Maryli F. Rosas and Josephine T. Eduardo De La Salle University Dasmarinas 08:20-08:40 E'Melon: Android-based Watermelon Leaf Disease Detection and 1795 Remedy Using Tensorflow's CNN Carl Ohmar Montoya and Nel Panaligan 08:40-9:00 Web-based Knowledge-Driven Decision Supporty System: A Career 8987 Assessment Tool for Incoming Freshmen Students of Mindoro State University Main Campus Cirile Dominic A. Horlador, Harold Y. Bangalisan and Mariz Katrin R. Capon M indoro State University - Main Campus 9:00-9:20 Virtual Map Identification of Covid-19 Applying Spatial Analysis 4657 Neil Balba- Lyceum of the Philippines University Laguna Madelyn Gabion - Diliman College Rejan Tadeo - Universidad de Manila Marmelo Abante - WCC-World Citi Colleges 9:20-9:40 Graduate School Student Decision Support System for Graduation: 7584 A Developement Using Naive Bayes Algorithm Lea P. Ymalay and Simeon J. Cainday III Guimaras State University, Mclain, Buenavista, Guimaras, Philippines 9:40-10:00 Prediction Analysis of Chronic Kidney Diseases Using Decision 568 Tree-based Classifier Algorithm Chona Sabinay and Reymon Santianez 10:00-10:20 Leave Credit Management System Using Decision Tree Algorithm 6462 Jay-ar G. Balauag Philippine Normal University North Luzon, Alicia, Isabela 7

2022 International Conference on Information Technology Education (ICITE 2022) 10:20-10:40 Relationship Between BSIS Student Performance and Their 7441 Admission Information Using Apriori Algorithm Mariannie A. Rebortera, Laarni C. Ibañez and Jovanne C. Alejandrino Davao del Norte State College 10:40-11:00 Uenquire: A Chatbot Mobile Inquiry System Implementing Artificial 9637 Neutral Networks Eugene M. Reyes, Krisotfer B. Salonga, Jecko Sayo, Peter Lemuel Zamora, Carel D. Payumo and Sheila Geronimo College of Computer Studies and Systems, University of the East 08:00-10:40 Session II: Computer Science Venue: RM 305 Session Chair: Dr. Larmie Feliscuzo Dr. Chuchi Montenegro 08:00-08:20 Pose Estimatimation Detection and Analysis for Workout Exercises 2322 Using Convolution Neural Network Kenneth B. Basibas, King Miles Edrianne A. Ramos, Carl T. Alejandro and Joferson L. Bombas College of Computer Studies, FEU Alabang 08:20-08:40 Android-based Mango Production Management Using a 9477 Convolutional Neural Network Sequential Model with a Recommender K arl Vincent Surdella and Rhea Mae Perito 08:40-9:00 An Image Processing Approach in Counting and Sorting of Chicken 9497 Egg Lance Jay Montalban and Ramil Lumauag 9:00-9:20 Missing Link Prediction in Social Network using 9173 K-NEAREST NEIGHBOR Algorithm Amelita M. De los Reyes 9:20-9:40 Modelling the Suitability of Cacao in the Philippines Under Future 3364 Climatic Conditions Using Artificial Neural Networks Jone C. Getigan, Exceed Renz M. Ramos and Benser Jan P. Villanueva University of Southeastern Philippines 8

2022 International Conference on Information Technology Education (ICITE 2022) 9:40-10:00 A Cross-Channel Autoencoder Image Recolorization Experiment 9043 Analysis Anna Liza A. Ramos, Jhino S. Cerbito - Saint Michael’s College of Laguna Sheila M. Geronimo - University of the East R aymond S. Macatangga - Our Lady of Fatima University Jarek Boilo T. Cabautan - iAcademy Philippines 10:00-10:20 Classifying Invasive Alien Species in the Philippines Using 3911 Convolutional Neural Networks Rey Alino, Proceso Fernandez and Arvin Diemos 10:20-10:40 Enhanced Viola-Jones Detection Algorithm in a Mobile-based 8235 Drowsiness Detection with Facial Landmarks, Analysis and Detection Marissa Chua, Christine Joy Onquit, Raymond Macatangga, Jeffrey Calim, Gaudencio Jeffrey Romano and Emmanuel Galupo 08:00-10:40 Session III: Information Technology Venue: RM 311 Session Chair: Dr. Alice Lacorte Dr. Shiela Geronimo 08:00-08:20 Fishponotify: An IoT-Based Fish Pond Management System 8378 Jennie T. Fernando, Kierven A. Atienza, Noime A.Delmo, and Roswell C.Firmalo Mindoro State University—Main Campus 08:20-08:40 The Development of a Mobile Based Student Portal Services for 4427 CVCITC amidst COVID-19 Pandemic Winston G. Domingo, Virdi C. Gonzales and Jayr Martinez Cagayan Valley Computer and Information Technology College 08:40-9:00 A Secured Log-in Authentication Protocol using OTP based on 2963 modified Unix Timestamp for Android-Based Clinic Reservation System Denmark A. Ermita and Domingo V. Origines Jr. Institute of Computing, Engineering, and Technology 9:00-9:20 Restaurant Management System with Android-based Ordering 6178 System Christian Jay D. Assuncion, Alpha Maureen Bautista, John Angelo C. Gumpal, Jay-r G. Balauag University of La Salette, Inc., Santiago City, Philippines, Philippine Normal University North Luzon, Alicia, Isabela 9

2022 International Conference on Information Technology Education (ICITE 2022) 9:20-9:40 E-tapon: Smart Waste Segregation System Applying IoT with 9443 Notification and Monitoring Neil Balba - Lyceum of the Philippines University-Laguna Anna Liza Ramos - Saint Michael’s College of Laguna John Garcia - Diliman College 9:40-10:00 Restaurant Management System with Android-based Ordering 6178 System Christian Jay D. Assuncion, Alpha Maureen Bautista, John Angelo C. Gumpal and Jay-r G. Balauag University of La Salette, Inc., Santiago City, Philippines, Philippine Normal University North Luzon, Alicia, Isabela, Philippines 10:00-10:20 Fatima-Cemos: An Entrance Monitoring System Using Face 2154 Recognition and QR Code with Temperature Sensor for OLFU Valenzuela Campus Londren U. Velasco, Raymond S. Macatangga, Arfel V. Aguilar, Sonny Roque and Edward N. Cruz Our Lady of Fatima University Valenzuela, Metro Manila, Philippines 10:20-10:40 Learners' Academic Management Portal for Higher Education 4548 Institutions in Central Luzon, Philippines Erlinda C. Abarintos, Melner Balce, Loudel M. Manaloto, Arnie D. Armada, Sharmaine L. Manuel, Joseph Angelo B. Pusing, KennethV. Bautista and Denise Lou B. Punzalan College of Computer Studies, Gordon College, Donor St., Olongapo City Sports Complex, East Tapinac, Olongapo City 08:00-10:40 Session IV: Information Technology Venue: RM 312 Session Chair: Dr. Neil Balba Dr. Simeon Cainday III Enhancing Municipal Police Department Justice System Through the Development of an Online Crime and Incident Reporting System 08:00-08:20 Zandrel Jol R. Catindoy, Raphael Vincent M. Cuizon, Jonathan F. 4935 Pasos, Gabriel Angelo A. Pua, Diane Jenalyn B. Datul and Jerome S. Miguel S chool of Engineering, Architecture, and Information Technology Education, University of Saint Loius, Tuguegarao 10

2022 International Conference on Information Technology Education (ICITE 2022) 08:20-08:40 The Development and Implementation of the Automated 369 Document Tracking Management System (ADTRACKSYS) Jane B. Gelindon, Betchie E. Aguinaldo and Gelmar Z. De Guzman College of Computing Studies Information Communication Technology, Isabela State University-Cauayan Campus 08:40-9:00 Development of a Curriculum Management System for the 6837 BULSU-CICT Aaron Paul M. Dela Rosa and Gabriel M. Galang College of Information and Communications Technology, Bulacan State University, City of Malolos, Bulacan, Philippines 9:00-9:20 The Relationship Between Textbooks and Understanding and 8084 Using Knowledge in a 2-Credit Introductory Programming Course Natsuko Uchida, Ferris University Yokohama Yasushi Kuno, The University of Electro-Communications Tokyo 9:20-9:40 Green IT Practices in a University in the Northern Philippines 379 Louie Sayago 9:40-10:00 Development and Evaluation of Vango: An Online Van 8212 Reservation System Faye Diane D. Talay, Graziel Louise Lynne D. Sorita, Kathleen Jean U. Viernes, Michelle B. Baui, Diane Jenalyn B. Datul and Jerome S. Miguel University of Saint Louis Tuguegarao, Tuguegarao City, Cagayan, Philippines 10:00-10:20 Developing a Framework to Monitor Teacher Engangement in a 8519 Learning Management System: Perspective from an Educational Technology Office Paul Anthony C. Notorio, Roda N. Sanares and Ernesto P. Ramos Jr. De La Salle University - Dasmarinas, Philippines 10:20-10:40 EPT: A Recovery Application for Stroke Patients 3862 Arfel Aguilar, Emmie Faye Marione Matabile, Jeffrey Calim, Danica Kate Mendoza, Eric Belarmino, Zyryl Garcia and Jennylyn Cuales 11

2022 International Conference on Information Technology Education (ICITE 2022) 08:00-11:20 Session V: Multimedia Computing and Information System Venue: RM 309 Session Chair: Dr. Raymond Macatangga Dr. Marmelo Abante 08:20-08:40 Rescue Alert Emergency System in Tuguegarao City 9314 Bob Justine L. Beltran, Julius Cezar N. Jara, James Darrel A.. Parallag, Kimberly B. Ternura, Diane Jenalyn Datul and Jerome Miguel University of Saint Louis Tuguegarao, Mabini St. Tuguegarao City, Cagayan, Philippines 08:40-9:00 Evacuation Assistance and Response System 4060 Carl John Q. Tamayao, Alloysius T. Mabazza, John Denver V. Melo, Angelo T. Rosales, Diane Jenalyn Datul and Benedict Sy University of Saint Louis Tuguegarao, Mabini St. Tuguegarao City, Cagayan, Philippines 9:00-9:20 Managing Student Information Using Data-Driven Graphical 825 Reporting Jasmin Jeanette C. Mama and Rohma S. Carim Mindanao State University, Marawi City, Philippines 9:20-9:40 Stuck in Limbo: A 3D Animated Short Film 1984 R aymond S. Macatangga, Jesper M. Dela Cruz, Londren U. Velasco, David A. D'Angelo and Ryann Randolf V. Santos Our Lady of Fatima University, Philippines 9:40-10:00 Jigsaw Adventures: Cagayan 2D Puzzle Educational Game 1964 Jonyl Adrian T. Mateo, Richmond A. Langcay, Jan Lawrenz Q. Tumaliuan, Peejay C. Blas, Benedict Sy and Diane Jenalyn Datul University of Saint Louis Tuguegarao, Mabini St. Tuguegarao City, Cagayan, Philippines 10:00-10:20 Development of a Digital Snake and Ladder Game as a Strategic 2050 Intervention Material for Basic Education J asten Keneth D. Trecene, Michael B. Batan and Aljon L. Albines Eastern Visayas State University – Tanauan Campus Tanauan, Leyte, Philippines 12

2022 International Conference on Information Technology Education (ICITE 2022) 10:20-10:40 Siklab: A Multiplayer 3D Role Playing Game Showing 8134 Appreciation to Philippine Folklore and Mythology Merriciel Miranda, Nilord Torres, Jerald Malabanan, 10:40-11:00 Febbraio Primo Dator and Reymark Natividad 8274 First Asia Institute of Technology and Humanities 11:00-11:20 Xcape Room: A Three-Dimensional Android Game on 6460 Algebra Adrian Carlo Ivan C. Comia, John Marvin M. Dungo, Elaine Joy V. Espiritu, Benedict M. Estrella, 08:00-11:20 Charvie Mitch G. Lopez, Jay Mark H. Mendoza and Clarence Mae P. Quinto Mathematics Department, College of Science, Bulacan Venue: RM 313 State University (Online) Sab't Board Game - The Epic Tale of Darangen 08:00-08:20 S.B Gulam 955 Faculty of Department of Computing Sciences, Mindanao State University - Marawi, Philippines 08:20-08:40 6845 Session VI: Online 08:40-9:00 8309 Session Chair: Prof. Jared Cabautan Dr. Gilbert Tumibay Neural Network Approach Model for Bivalve Classification Alme Maravillas, Larmie Feliscuzo and James Arnold Norga Sentiment Analysis-based Web Application for Digital Tourism Marketing Divine Aguilar and Cecilia Mercado Eye-M-Safe: A Computer Vision-based Overcrowding Detection and Prevention System for Covid-19 Risk Reduction in Public Establishments John Therende D. Calma, Mark Allen A. Dela Torre and Christian F. Quijano Adamson University, Metro Manila, Philippines 13

2022 International Conference on Information Technology Education (ICITE 2022) 9:00-9:20 Pest Classification and Prediction: Analyzing the Impact of 7705 Weather to Pest Occurrence Through Machine Learning Evan C. Sumido - College of Information and Communications Technology, West Visayas State University, Luna St. Lapaz, Iloilo City, Philippines Larmie S. Feliscuzo and Chris Jordan G. Aliac - College of Computer Studies, Cebu Institute of Technology - University, Natalio B. Bacalso Ave., Cebu City, Philippines 9:20-9:40 Penetration Testing Engagement Web Application Tool 7850 Marlon Tayag and Francisco Napalit 9:40-10:00 A Real-Time Web-Based Street-Level Mapping System for 8642 Traffic Monitoring Darwin Mangca, Larmie Feliscuzo and Elmer Maravillas Cebu Institute of Technology University 10:00-10:20 Predictive Analytics of Children Vaccine Supplies in Negros 8162 Occidental Philippines Lynol I. Ibarra, May S. Cuaycong and Mae B. Lodana 10:20-10:40 Memores: A Web-based Intelligent Screening Tool for Predicting 1412 Social Anxiety Disorder Using A Machine Learning Model Hans Adey Cesa, Joshua Daniel Lawsin, Carlos Julian Chiongbian, Maria Angelica Zaragoza, Glenn Pepito and Rhoda Alvarez Department of Computer, Information Sciences, and Mathematics, School of Arts ans Sciences, University of San Carlos, Cebu City, Philippines 10:40-11:00 Enhancement of Offline Signature Verification Using Support 243 Vector Machine John Ullyses Valleroso, Sherwin Carlo Cruz, Mark Christopher Blanco, Dan Michael Cortez, Khatalyn Mata and Richard Regala 14

2022 International Conference on Information Technology Education (ICITE 2022) 11:00-11:20 Sentiment Analysis on Student’s usage in Online Video 6049 Conference Platform using Support Vector Machines Francis Noel I. Alarcon, University of Santo Tomas – Manila 08:00-11:20 Reynalen C. Justo, Laguna State Polytechnic University Sherry Mae R. Llandelar, University of Santo Tomas – Legazpi Venue: RM 314 Lizel Rose Q. Natividad, San Beda University (Online) Ronel F. Ramos, FEU Institute of Technology Roda N. Sanares, De La Salle University - Dasmarinas 08:00-08:20 4794 Session VII: Online 08:20-08:40 8670 Session Chair: Prof. Raquel Bermudez Dr. Joey Suba 08:40-9:00 647 Valuation System Using Multiple Linear Regression C risanto Alanes 9:00-9:20 424 An Energy Efficient in Routers Routing Algorithm Based on Ant Colony Optimization 9:20-9:40 J effrey Evangelista and George Granados 863 Alab: An E-learning 2D Platform Game on Readings in Philippine History Using a Priority Queue Algorithm Kit Daniel Jay T. Lim and Christine F. Pena University of San Carlos, School of Arts and Sciences, Department of Computer, Information Sciences and Mathematics, Cebu City, Philippines ALERTO: An Android-based Accident Hotspot Tracker Notification System Utilizing Analytics and GPS Tracking Algorithm Inocencio C. Madriaga Jr., Caryl Anne D. Elisterio, Mark Joseph S. Caisip and Junnel A. Ramirez Batangas State University ARASOF Nasugbu Innovated Smart Attendance System with Face Recognition and Temperature Sensing Features Christopher E. Barientos, Chester L. Cofino, Jun -Jun A. Obiso 15

2022 International Conference on Information Technology Education (ICITE 2022) 9:40-10:00 QR Authentication Security System 6800 Prof. Rizalina C. Valencia, Nathan Jethro C. Santiago and Sean Alexis D. Escallar 10:00-10:20 E-skedyul: An E-government Financial and Goods Assistance 9576 Transparency Website Francesca Marie Alcaraz, Ace Christian Aruego, Czesca Louise Dizon, Zhuntelle Nicole Manalo, Leonard Alejandro, Marvi Aresta-Bayrante and Ma. Carmela Racelis Information Technology and Information Systems Department, Adamson University, Ermita, Manila, Philippines 10:20-10:40 Hiraya: Pivoting the Philippine Animation Through Integration of 3076 2D Cut-out Animation and 3D Asset Roselle S. Basa, Faculty, College of Computer Studies and Systems, University of the East Manila Ariana Gabrielle N. Bentir, Brdiget Anne R. Espiritu and Earl Dominic G. Guevara, Alumni, College of Computer Studies and Systems, University of the East Manila 10:40-11:00 SCVAX: A Solution to Nationwide Vaccination Management 7214 Information System Ritchie Reyna, Darwin Mangca, Alma Christie Reyna, Jovie Gallera, Perfecto Ruaya, Ghandi Galila, Ralph Aran Cabanero, Antonio Jr. Piloton and Arvin Salvador 11:00-11:20 A Data Mining Approach Towards the Absorption of Student 2053 Interns to Host Training Establishments Arnold B. Galve and Mengvi P. Gatpandan 16

2022 International Conference on Information Technology Education (ICITE 2022) Authors' Presentations Session I Theme: Computer Science Time: 08:00-11:00 Venue: Room 307 Session Chair: Dr. Roselie B. Alday Dr. Anna Liza Ramos P rof. Iglesias Supervised Machine Learning : An approach in predicting the adaptability level of diverse learners Dr. Maryli F. Rosas and Josephine T. Eduardo De La Salle University Dasmarinas 08:00-08:20 Abstract: Educational life worldwide has been shaken by the 1626 closure of schools and universities due to the outbreak of the coronavirus pandemic. The ripple effects have been felt in the way both teachers and students have adapted to the restrictions imposed by the new form of online education. The study points to the understanding of the demographic profile of the users in terms of age, gender and educational level as well as determining the factors affecting user adaptability. The researchers used the supervised machine learning to predict respondents’ level of adaptability. As a result, the researchers created three (3) scenarios. These three scenarios use the personal demographic profile (age and gender), socio- demographic (financial condition, internet type, and device used) and combination of both. E'Melon: Android-based Watermelon Leaf Disease Detection and Remedy Using Tensorflow's CNN Carl Ohmar Montoya and Nel Panaligan 08:20-08:40 Abstract: CNN is widely used in today’s mobile-based 1795 applications such as image processing and speech recognition. Scaling up the size of datasets and the models trained on them has been responsible for the success. However, investigating the implementation of image classification on a small scale with limited hardware is very difficult. 17

2022 International Conference on Information Technology Education (ICITE 2022) Seeing that SVM achieves a higher accuracy with a minimal dataset, it decreases its accuracy when the dataset has been tripled. In addition, traditional watermelon leaf disease detection was found to be a laborious task for the growers. Therefore, researcher aims to develop an android-based watermelon leaf disease detection and remedy using TensorFlow's CNN to help watermelon growers to enhance the image classification using the sequential model and reduce the earlier algorithm's complexity. The applications accuracy resulted in a 4.75 weighted mean described as agreeable from 19 randomly selected evaluators. The applications’ accuracy was based on the system's classifier and affected its result as the classifier needs improvement, though, watermelon experts and farmers agreed with the evaluation results. Web-based Knowledge-Driven Decision Supporty System: A Career Assessment Tool for Incoming Freshmen Students of Mindoro State University Main Campus Cirile Dominic A. Horlador, Harold Y. Bangalisan and Mariz Katrin R. Capon Mindoro State University - Main Campus 08:40-9:00 Abstract: Career Selection is an important activity in 8987 individual’s life (Kumer, 2018). The foundation of career development to the present day is a clear understanding of yourself, aptitudes, abilities, interests, and limitations (Patton, 2014). The Design Aptitude Test (DAT) was desined to measure students in a number of different areas, such as mechanical reasoning, verbal reasoning and numerical reasoning. The presence of an individual’s normality should be considered in career development and can be assessed through the administration of the 16 personality Factor Assessment. Students’ abilities measured through the Multiple Intelligence Survey as research on the application of multiple intelligences has revealed positive psychological benefits. The use of computers in career counseling can facilitate the delivery of the service to the clients. It addresses the need for data assessment including cognitive abilities, interests, and personality. The study aims to integrate assessment tools to come up with a web-based evaluation result that helps the incoming freshmen in selecting a program they should take in MinSCAT. 18

2022 International Conference on Information Technology Education (ICITE 2022) The guidance office used it in the conduct of admission tests. The DAT, 16 PF, and Management Information System (MIS) will be utilized to assess the students in relation to their chosen program. The Prototyping Model was used during the development wherein researchers built, tested, and reworked the prototype to achieve the objectives. The system was evaluated by 182 students from different programs, using the ISO 25010 Software Metrics Evaluation, which includes Functional Suitability; Performance Efficiency; Compatibility; Usability; Reliability; and Security. The system was rated Very Acceptable among the different criteria set. During the ealuation, the researchers concluded that the system is useful to students in selecting program offerings based on their abilities, intelligence, and personality. It was recommended that more time should be allotted in taking the assessment. The system must be available on mobile platform to make it more accessible. Virtual Map Identification of Covid-19 Applying Spatial Analysis Nei Balba- Lyceum of the Philippines University Laguna Madelyn Gabion - Diliman College Rejan Tadeo - Universidad de Manila Marmelo Abante - WCC-World Citi Colleges 9:00-9:20 Abstract: This study aimed to determine the spatial analysis of 4657 Covid19 in District 2 of Quezon City. To model, the scenarios of the distribution of the virus on a district scale the online/mobile GIS (Geographical Information System), mapping dashboards, applications for tracking the virus, and numerical methods are used. To visualize and estimate the ongoing pandemic situation, this paper offers and describes GIS methods such as buffer and numerical analysis and the presentation of infected areas via the virtual map. The application and dashboards are receiving data updates in “near-real-time”. The paper also discusses some additional techniques using GIS ways that can support the awareness of how to fight against epidemics and disease outbreaks. This paper can be used to define important measures that need to address and implement to mitigate the implications of Covid-19 successfully. The system was evaluated with the general mean of 4.60 or Strongly Agee which means that the system is very acceptable to the users. 19

2022 International Conference on Information Technology Education (ICITE 2022) Graduate School Student Decision Support System for Graduation: A Developement Using Naive Bayes Algorithm Lea P. Ymalay and Simeon J. Cainday III Guimaras State University, Mclain, Buenavista, Guimaras, Philippines 9:20-9:40 Abstract: This study was directed towards the development of 7584 Graduate School Student Decision Support System for Graduation: A Development using Naive Bayes Algorithm for Guimaras State College in Mclain, Buenavista, Guimaras, Philippines. The software was provided with years’ worth of data that include student profiles, masteral profile, comprehensive exam, grades, training, testing, result, f- measure, graph and most importantly grades records as main input. The aforementioned data were gathered, processed, and analyzed in order to come up with reliable forecasts and efficient management of graduate school students records. To realize its primary goal, Bayesian Algorithm was integrated in the system as an enabler for its data analysis component which will forecast the graduation probability of graduate school students. As for the system’s performance, the proponent used F-measure to evaluate the accuracy of the system’s forecasting capability against actual students performance in subjects and grades. Moreover, the system was evaluated based on the ISO 25010 International Quality Standards for computer software. The result revealed that the system highly conformed to international standards in terms of its functionality suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. During the accuracy test, the F-Measure value using the harmonic mean of precision and recall is 77.67% which implies that the accuracy of the forecasting capability of the system was Medium to High. Meanwhile, an over-all mean of 4.84 established that the system has “excellent” quality based on the ISO 25010 International Standards. 9:40-10:00 Prediction Analysis of Chronic Kidney Diseases Using Decision 568 Tree-based Classifier Algorithm Chona Sabinay and Reymon Santianez 20

2022 International Conference on Information Technology Education (ICITE 2022) Leave Credit Management System Using Decision Tree Algorithm Jay-ar G. Balauag Philippine Normal University North Luzon, Alicia, Isabela 10:00-10:20 Abstract: This study is a web-based application designed to 6462 assist the human resource management office in managing leave credit. The purpose of this research is to optimize and computerize the manual process of leave application and give an automatic procedure-based on the decision tree model developed by the researcher. The aims of this study is to develop a Leave Credit Management Systemusing Decision Tree Algorithm specifically to identify the problems encountered in the present leave credit system; to develop a decision tree model that will be implemented in the proposed leave credit management system; to determine the benefits or advantages of the proposed leave credit management system using the decision support system; and to assess or evaluate the proposed decision support system for leave credit management system using decision tree model using ISO/IEC 9126 standards. The system was developed with the PHP programming language and the MySQL database. To cope with the design and implementation efficiently, the system was designed and developed utilizing the Agile Methodology. The system's usefulness is a significant boost in production, which resulted in Highly Accepted. 10:20-10:40 Relationship Between BSIS Student Performance and Their 7441 Admission Information Using Apriori Algorithm Mariannie A. Rebortera, Laarni C. Ibañez and Jovanne C. Alejandrino Davao del Norte State College Abstract: Tertiary education is one of the driving forces that produce human capital and as a result, contributes to a country's long-term economic growth. Higher Education Institutions' (HEI) primary purpose is to provide students with the excellent and highest quality education possible. 21

2022 International Conference on Information Technology Education (ICITE 2022) Thus, keeping an acurrate, helpful, and efficient educational process is a top priority for any educational institution to increase the quality of its services and the education it provides to its students. The Institute of Computing (IC) of Davao del Norte State College (DNSC) offers open admission and assesses applicants based on their entrance exam results. Moreover, other factors such as students' general high school average, national certificates, Senior High School academic track, and family economic situation are considered. However, there are issues in admitting applicants based on the admission policy and identifying their success factors in the BSIS program. In this study, the Apriori algorithm is utilized to evaluate the relationship between the students' admission requirements and academic performance. The results show that the students' locality and the type of school they graduated from significantly affect their academic status. Uenquire: A Chatbot Mobile Inquiry System Implementing Artificial Neutral Networks Eugene M. Reyes, Krisotfer B. Salonga, Jecko Sayo, Peter Lemuel Zamora, Carel D. Payumo and Sheila Geronimo College of Computer Studies and Systems, University of the East 10:40-11:00 Abstract: The inquiry system is one of the most widely used 9637 platforms for addressing client concerns and issues to achieve service excellence. Therefore, this study aims to develop a UEnquire chatbot application to assist the inquiry process of the institution. The study evaluated the 2,204 Twitter data points of they university using classification models. The results showed the Artificial Neural Network model outperformed the Naive Bayes model with an accuracy classification result of 96%. The model was deployed in a UEnquire chatbot application that received positive feedback, which is very useful for the university to improve its services. Also, the application has special features that automatically update the classification model to make it more flexible. It makes the application easier to use and more efficient. 22

2022 International Conference on Information Technology Education (ICITE 2022) Authors' Presentations Session II Theme: Computer Science Time: 08:00-10:40 Venue: Room 305 Session Chair: Dr. Larmie Feliscuzo Dr. Chuchi Montenegro Pose Estimatimation Detection and Analysis for Workout Exercises Using Convolution Neural Network Kenneth B. Basibas, King Miles Edrianne A. Ramos, Carl T. Alejandro and Joferson L. Bombas College of Computer Studies, FEU Alabang 08:00-08:20 Abstract: Pose estimation is a technique used for specific 2322 purposes to detect, predict, and analyze key points of a human object. Consequently, this study will investigate a novel application of the pose estimation technique by analyzing the repetition and intensity of the workout exercises for squats, push- ups, and sit-ups, which is the most important information when performing an exercise. Thirty non- experienced gym or workout enthusiasts ranging in age from 18 to 40 years old (a total of 30 participants) are included in the study. Using Phyton, OpenCV, and Mediapipe, a prototype was created to detect movement, analyze and monitor the intensity and repetition of an exercise using the angle formed by human joints, and utilize Convolution Neural Networks. The result indicates that the prototype received an average rating of 4.25 \"Satisfactorily\" based on its functionality, reliability, usability, performance, and support. The results of the study will provide health enthusiasts with valuable information for ensuring that their exercise intensity is optimal for maximizing benefits and productivity. 08:20-08:40 Android-based Mango Production Management Using a 9477 Convolutional Neural Network Sequential Model with a Recommender Karl Vincent Surdella and Rhea Mae Perito Abstract: The researchers developed an Android application that employed the CNN sequential model to enhance the image classification of mango flowering. 23

2022 International Conference on Information Technology Education (ICITE 2022) The study also focused on recommending a spraying schedule based on the assessed image of a mango leaf and its flowering stage. The application's classifier performed an outstanding classification of 0.83 mean confidence rate. The application's accuracy for spraying schedule recommendation resulted in a 0.83 mean accuracy rate. However, recognition errors arose due to the minimal number of datasets. Therefore, in further study, it is recommended to increase the number of datasets during training for better accuracy. An Image Processing Approach in Counting and Sorting of Chicken Egg Lance Jay Montalban and Ramil Lumauag 08:40-9:00 Abstract: This study aimed to develop and design a 9497 microcontroller device with the integration of a robotic arm and a conveyor using the Arduino that works on image processing based on the algorithm for sorting and counting of chicken eggs. It employs an image processing classification algorithm for detecting cracks, blood spots and dirt, sorting and counting based on determined sizes. The system was piloted in the different egg farms located in the First District of Iloilo primarily in the Department of Agriculture in every municipality. The system was evaluated utilizing 150 chicken egg samples randomly selected and the accuracy (F-measure) and speed (time) was determined. The F-measure using the harmonic mean of precision and recall of 97% yield to the results of precise and accurate classification. The speed of analyzing and counting the chicken egg is 1.8 seconds per egg which implies that the microcontroller device on image processing for counting and sorting of chicken eggs provides an excellent performance. Missing Link Prediction in Social Network using K-NEAREST NEIGHBOR Algorithm Amelita M. De los Reyes 9:00-9:20 Abstract: This study is conducted to explore how K-Nearest 9173 Neighbors (KNN) classification algorithm is used in predicting the missing links in human groups as Complex Systems, A human group comprises several individuals bound together by a common need such as in social media or achieving a common goal (organization, volleyball team or basketball teams). 24

2022 International Conference on Information Technology Education (ICITE 2022) As observed these form networks are disintegrated and discarded sometimes in practice. A significant concern, in this case, is link 9:20-9:40 prediction, which aims to determine the possibility of probable 3364 edges or connections from one another in social networks. This is applied in recommending new friends, and, in recommender systems for recommending new items (movies, gadgets, etc) based on earlier shopping history. The KNN was utilized to develop values to establish classification or prediction about the group with computed individual data points to find the nearest neighbor. This classification algorithm essentially includes K-value as most similar instances to a given “unseen” observation using the Euclidean distance method. Modelling the Suitability of Cacao in the Philippines Under Future Climatic Conditions Using Artificial Neural Networks J one C. Getigan, Exceed Renz M. Ramos and Benser Jan P. Villanueva University of Southeastern Philippines Abstract: This paper investigated the effect of climate change in relation with the cacao suitability in the Philippines. The collected climatic data are grouped under near-current periods (1970- 2000), 2030s (2020-2049), and 2050s (2040-2069), where changes in cacao suitability were assessed using Artificial Neural Network (ANN) modelling. 160 ANN configurations are selected and trained on 80% training, 20% testing partition and are validated using Mean Square Error (MSE) and correlation of determination (R2). The best ANN model indicated that the Philippine land index for cacao suitability is between 49.51 to 79.31 for near-current; 48.36 to 75.86 for 2030s and 48.00 to 74.34 for 2050s. This categorizes the suitability class of cacao into marginally suitable (S3) to highly suitable (S1) for the near-current and 2030s periods while dropping to only marginally suitable (S3) to moderately suitable (S2) by 2050s. Specifically, high suitability (S1) areas in the Philippines were projected to decrease from 65,853 km2 (near-current) to 31,357 km2 by 2030s and 23,458 km2 by 2050s; a change of -9.84% and -12.1% for the future periods, respectively. Regions of Luzon (except Palawan), Palawan, Visayas, Western Mindanao and Southern Mindanao were estimated to have decreasing S1 areas primarily attributed to the projected increase in mean and max temperature and rainfall variability by 2030s and 2050s. 25

2022 International Conference on Information Technology Education (ICITE 2022) The most pronounced change in suitability index is measured in Western Mindanao with -84.26% followed by Luzon (except Palawan) with -80.18% by the 2050s. In summary, the results indicated that ANN approach for cacao’s land suitability evaluation is notable with the best model having MSE of 3.74-6 and R2 of 0.99981414. A Cross-Channel Autoencoder Image Recolorization Experiment Analysis Anna Liza A. Ramos, Jhino S. Cerbito - Saint Michael’s College of Laguna Sheila M. Geronimo - University of the East Raymond S. Macatangga - Our Lady of Fatima University Jarek Boilo T. Cabautan - iAcademy Philippines 9:40-10:00 Abstract: Image re-colorization is one of the features seen in 9043 various applications. This study aims to further conduct an intensive experiment that focuses on hyperparameter modification : training set, validation, testing, number of epochs, batch size, and input size that greatly contribute to the performance of recolorization . Therefore, the study trained 200 different images implementing an Autoencoder VGG-19 model architecture and applied the Pair Mean Square Error (PMSE) to assess the performance of the model based on RGB channel color. Based on the experiment result, the lowest Pair Mean Squared Error (PMSE) score is 4.11%, which provides good results for recolorization for the \"Green\" color channel and a PMSE score of 13.95% considering the RGB channel in one image, in which the \"Red\" color channel performs better in recolorization than the Green and Blue color channels. The findings of this expirement will provide valuable information on the importance of the parameters to be investigated further to ensure that the intended application is accurate , effective, and efficient to use. 10:00-10:20 Classifying Invasive Alien Species in the Philippines Using 3911 Convolutional Neural Networks Rey Alino, Proceso Hernandez and Arvin Diemos Abstract: The proliferation of Invasive Alien Species (IAS) in the Philippines is a major threat to its biodiversity. 26

2022 International Conference on Information Technology Education (ICITE 2022) Towards reducing such threat, computer vision technology can be applied to collect taxonomic information which may then assist in strategies and plans to fight IAS. This study presents implementations of Resnet18, MobileNetV2 and GoogLeNet, three known convolutional neural network (CNN) models, previously used for other computer vision tasks, for classifying twenty-four (24) IAS in the Philippines (PH). In this interdisciplinary study, a dataset of 2,581 images of 24 invasive species was used. The initial images were obtained from the ASEAN Centre for Biodiversity (ACB) and later supplemented by images from the International Union for Conservation of Nature (IUCN) database, the Global Biodiversity Information Facility (GBIF) and Google Images. The images were pre-processed and then used to train the three CNN models to classify the 24 invasive species. We used five-fold cross validation to evaluate the performance of our models. Precision, recall, f1-score and overall accuracy metrics show that the three models can accurately classify the twenty-four IAS PH in our dataset. The top performing model, ResNet18, achieved a 90.8% average accuracy while MobileNetV2 and GoogLeNet achieved average accuracies of 87.4% and 87%, respectively. While ResNet18 had higher average accuracy than the other two models, a one-way analysis of variance test of the accuracies of the three models across the five-fold training and validation runs, however, showed no statistically significant difference. Enhanced Viola-Jones Detection Algorithm in a Mobile-based Drowsiness Detection with Facial Landmarks, Analysis and Detection Marissa Chua, Christine Joy Onquit, Raymond Macatangga, Jeffrey Calim, Gaudencio Jeffrey Romano and Emmanuel Galupo 10:20-10:40 Abstract: Drowsy driving has been one of the major contributing 8235 factors to road-related accidents causing a huge amount of serious injuries, economic damages, and mostly, death. Drowsiness detection using facial landmarks, analysis and detection is the main purpose of this study. In addition, android phones have been pre-installed with important sensors such as GPS that will be of great help in machine learning technology and innovations for developing an android application that will aid drivers while traveling. This paper will use an enhanced Viola Jones detection algorithm using local binary pattern. 27

2022 International Conference on Information Technology Education (ICITE 2022) The goal of this paper is to enhance the Viola-Jones Algorithm to be able to detect multi-viewed face. This paper proposes to use a local binary pattern, also known as LBP features, for the angled face detection instead of using haar-like features. The system was tested on variety of conditions such as during the daytime and nighttime, distance and angle of the mobile device from the driver, and facial movements of the driver. In addition, a voice message and alarm will be triggered if the driver is identified drowsy and it will send a SMS notification indicating the driver’s current status and location. Based on the experimental results, the system calculates the percentage of eye closure (PERCLOS) to detect drowsiness. Throughout the experimental evaluation, the accuracy criterion of alarms for both daytime and nighttime got a rate of 100%, while the accuracy criterion of distance and eye types are most accurate if the phone is no more than 9 feet from the face of the driver, and the accuracy criterion of angle are most accurate in 0 to 90 angles using the enhanced Viola Jones algorithm. The reliability criterion indicates whether the application can still detect the driver's drowsiness level after 30 minutes, resulting in a reliability percentage of 100%.. The research result can serve intelligent transportation system, ensure driver safety and reduce the losses caused by drowsy driving. The research findings can be used to improve intelligent transportation systems, ensure driver safety, and reduce losses caused by drowsy driving. 28

2022 International Conference on Information Technology Education (ICITE 2022) Authors' Presentations Session III Theme: Information Technology Time: 08:00-10:40 Venue: Room 311 Session Chair: Dr. Alice Lacorte Dr. Sheila Geronimo Fishponotify: An IoT-Based Fish Pond Management System Jennie T. Fernando, Kierven A. Atienza, Noime A.Delmo, and Roswell C.Firmalo Mindoro State University—Main Campus 08:00-08:20 Abstract: The Philippines Aquaculture or fish farming is the major 8378 industry that contributes and provides the food supply and livelihood on the economy. For good fishpond management, water quality may be considered to avoid the losses in freshwater and marine cages and preventing fish kill. Water quality determined by variables like temperature, carbon dioxide, pH, turbidity and others indicates if the water was healthy and safe for the fish and to increase the fish yields and meet the high demands of production. Fish kill is the common problem of having fish farm and as a result some of the fish farmers decrease their income. The study aimed to develop a system that might help the fish farmer to monitor the water quality on their fishpond. In addition, it might help to control fish feeding activity using the sensor and prevent contamination on water which causes fish kill. Prototyping Model was used in the development of the project. It is equipped with highly sensitive sensors for different water quality parameters. The system was tested and evaluated by 100 respondents composed of fish farmers, students and employees. The project integrates sensors to monitor the quality of the water on the fish pond through measuring pH, turbidity and temperature level of the water on the fish pond. The project can also automatically feed the fishes based on the scheduled time of the system and helps maintain the good quality of the water which may help the fishes for better reproduction. . The project achieved a very acceptable rating having a grand mean of 4.66. Future studies could enhance the system features. 29

2022 International Conference on Information Technology Education (ICITE 2022) The Development of a Mobile Based Student Portal Services for CVCITC amidst COVID-19 Pandemic Winston G. Domingo, Virdi C. Gonzales and Jayr Martinez Cagayan Valley Computer and Information Technology College 08:20-08:40 Abstract: The COVID-19 pandemic has disrupted many areas of 4427 human and organizational ventures worldwide. This includes new innovative technologies and strategies being developed by educators to foster the rapid learning-recovery and reinstatement of the stakeholders (e.g., teachers and students). The project is meant for web-based which allows the users to access it from anywhere as most of them carry smartphones with them. The proposed project is to help learn subjects efficiently connected to the college network; Faculty, Students, Management, and other departments. This study used a descriptive research design and system development methods. This study used the AGILE Software Development since it proposed a Mobile Based Student Portal Services for CVCITC amidst COVID-19. The system was created using the methods and procedures of Agile Software Development. This system uses the principle and methodologies of Agile Software Development. From the above findings, the researcher concluded that the existing system for the students can be improved through the adoption of the developed system. The developed Mobile Based Student Portal Services was compliant with ISO 25010 quality standards. From the evaluation by the Users and IT experts, it shows that the developed system was Highly Accepted by both respondents. The Mobile Based Student Portal Services developed features that can provide support and services for the students amidst the pandemic showing that the services can be improved online. 08:40-9:00 A Secured Log-in Authentication Protocol using OTP based on 2963 modified Unix Timestamp for Android-Based Clinic Reservation System Denmark A. Ermita and Domingo V. Origines Jr. Institute of Computing, Engineering, and Technology Abstract: This project presents a Secured Android-based Clinic Reservation System utilizing a one-time password (OTP) derived from a modified Unix timestamp that is used for System Log-in Authentication. 30

2022 International Conference on Information Technology Education (ICITE 2022) The OTP was based on the Unix Timestamp for the Clinic Reservation System and will serve as Security Features for 9:00-9:20 Authentication and confirmation of the Patient's Authenticity for 6178 the Clinic Account as well as for the Doctor's Authenticity to the Patient. The Secured Android Application system will generate an OTP Code from the captured length of four (4) UNIX Time Stamps and send it to SMS and the Patient's Gmail account. During the development, an Android Studio as Android Integrated Development Environment (IDE) and Firebase as tools for tracking analytics, reporting and fixing app crashes, and creating marketing and product experiments were utilized. The resistance of the System protocol against impersonation, DOS, forward security, and internal assault has been demonstrated by simulations and tests of the authentication protocol's security. Consequently, employing a Unix timestamp with a length of four as an OTP is a viable and effective strategy because it improved the System's performance and security. In addition, several evaluation tests indicated that the Android application system was running properly. On the Likert scale, the aggregated mean for its functionality is 4.1, which indicates that a given function is stable. Since the source of OTP is the captured running Unix timestamp, which is an entropy-based source of OTP, the created OTP is deterministic. Consequently, with its ability to generate OTP for Security Authentication, it will aid Clinic Management in addressing difficulties with the authenticity of patients, particularly phishing attempts. Restaurant Management System with Android-based Ordering System Christian Jay D. Assuncion, Alpha Maureen Bautista, John Angelo C. Gumpal, Jay-r G. Balauag University of La Salette, Inc., Santiago City, Philippines, Philippine Normal University North Luzon, Alicia, Isabela, Philippines Abstract: Restaurant Management System is a program used to process transactions. It allows restaurant managers to control their restaurants by allowing for automated meal ordering and billing. This research aims to improve the present system into an automated device that uses mobile phones. 31

2022 International Conference on Information Technology Education (ICITE 2022) This research intends to design and develop the proposed project, Restaurant Management Program with Android-based Ordering primarily to define the problems encountered in the present system by interviews and field observation; to identify the approaches needed to improve the operation and manual order taking; to assess the benefits and disadvantages of the proposed project; and evaluate or assess the proposed restaurant management system with android-based ordering using ISO 9126 standards. Seven (7) respondents evaluated the system including the manager one (1) chef and five (5) waiters. The system was designed and built using the Agile System Development Life Cycle Approach to have an iterative and gradual implementation that requires constant preparation, monitoring, deployment and refinement to maintain a refined system. The system's usefulness is a radical increase in productivity that has obtained Very Good. E-tapon: Smart Waste Segregation System Applying IoT with Notification and Monitoring Neil Balba - Lyceum of the Philippines University-Laguna Anna Liza Ramos - Saint Michael’s College of Laguna John Garcia - Diliman College 9:20-9:40 Abstract: Waste management is one of the strategic 9443 environmental solutions that protect human lives and promote a healthy environment. The goal of this research is to build smart trash systems using IoT devices to segregate and monitor garbage disposal based on its color-coding scheme detection mechanism and to measure the weight of the garbage that serves as an indicator of when to flush out the garbage based on the set threshold value. Furthermore, the materials used to construct the smart trash are low-cost but of high quality in terms of detection and accuracy based on the threshold value set. Experts conducted comparative testing of the expected and actual output to ensure the reliability of the smart trash. The findings indicate that testing all of the components is “successful” and thus highly acceptable. As a result, the building prototype application is recommended for use by the community to be more responsive and responsible citizens in promoting a safe environment. 32

2022 International Conference on Information Technology Education (ICITE 2022) Restaurant Management System with Android-based Ordering System Christian Jay D. Assuncion, Alpha Maureen Bautista, John Angelo C. Gumpal and Jay-r G. Balauag University of La Salette, Inc., Santiago City, Philippines, Philippine Normal University North Luzon, Alicia, Isabela, Philippines 9:40-10:00 Abstract: Restaurant Management System is a program used to 6178 process transactions. It allows restaurant managers to control their restaurants by allowing for automated meal ordering and billing. This research aims to improve the present system into an automated device that uses mobile phones. This research intends to design and develop the proposed project, Restaurant Management Program with Android-based Ordering primarily to define the problems encountered in the present system by interviews and field observation; to identify the approaches needed to improve the operation and manual order taking; to assess the benefits and disadvantages of the proposed project; and evaluate or assess the proposed restaurant management system with android-based ordering using ISO 9126 standards. Seven (7) respondents evaluated the system including the manager one (1) chef and five (5) waiters. The system was designed and built using the Agile System Development Life Cycle Approach to have an iterative and gradual implementation that requires constant preparation, monitoring, deployment and refinement to maintain a refined system. The system's usefulness is a radical increase in productivity that has obtained Very Good. 10:00-10:20 Fatima-Cemos: An Entrance Monitoring System Using Face 2154 Recognition and QR Code with Temperature Sensor for OLFU Valenzuela Campus Londren U. Velasco, Raymond S. Macatangga, Arfel V. Aguilar, Sonny Roque and Edward N. Cruz Our Lady of Fatima University Valenzuela, Metro Manila, Philippines Abstract: As Our Lady of Fatima University prepares to reopen face-to-face classes, it is important to follow the Inter-Agency Task Force (IATF) guidelines and take precautions to safeguard the safety of its students, employees, and visitors. 33

2022 International Conference on Information Technology Education (ICITE 2022) To come up with an improved entrance monitoring system and to comply with the mentioned guidelines the proponents developed the system entitled “Fatima-CEMOS: An Entrance Monitoring System using Face Recognition and QR Code with Temperature Sensor for OLFU Valenzuela Campus”. This will help the OLFU College of Computer Studies (CCS), Valenzuela Campus to log the identity, time, and temperature of an individual upon entering the campus premises. The system was developed on Python 3.9 and its packages such as Tkinter, Pyzbar, and Face Recognition. Learners' Academic Management Portal for Higher Education Institutions in Central Luzon, Philippines Erlinda C. Abarintos, Melner Balce, Loudel M. Manaloto, Arnie D. Armada, Sharmaine L. Manuel, Joseph Angelo B. Pusing, KennethV. Bautista and Denise Lou B. Punzalan College of Computer Studies, Gordon College, Donor St., Olongapo City Sports Complex, East Tapinac, Olongapo City 10:20-10:40 Abstract: The education sector is one of the sectors which has 4548 been drastically impacted by the CoViD-19 pandemic. To mitigate the impact of the pandemic in higher education, the Commission on Higher Education (CHED) issued guidelines on the implementation of flexible learning that includes encouraging HEIs to maximize the use of technology to support learning and teaching, which may include the utilization of a Learning Management System (LMS). The Learners’ Academic Management Portal (LAMP) for Higher Education Institutions (HEI) in Central Luzon aims to address the issues and challenges faced by HEIs in the implementation of flexible learning and in adapting to the need for an abrupt paradigm shift in conducting classes. The LAMP is a learning management system that has the following features; (a) Student and Faculty Portal; (b) Mobile app version for Student Portal Access; (c) Class Management; (d) Content Management (uploading learning resources and activities); (e) Gamification; (f) Assessment (quiz generator); (g) Notifications; (h) Integration of Google Workspace tools and services; and (i) Data security. The LAMP is a platform that provides three portals for each of its target users: the Faculty Portal; the Student Portal and the School Administrator Portal. The proponents adopted the Agile softaware methodology to deliver the expected outcomes for a one-year timeframe. 34

2022 International Conference on Information Technology Education (ICITE 2022) The LAMP was evaluated by faculty members and students among the pilot HEIs that were already done with the deployment of the project. The system received positive ratings in terms of software quality using the ISO 25010 model and in terms of the level of acceptability following the Technology Acceptance Model. 35

2022 International Conference on Information Technology Education (ICITE 2022) Authors' Presentations Session IV Theme: Information Technology Time: 08:00-10:40 Venue: Room 312 Session Chair: Dr. Neil Balba Dr. Simeon Cainday III Enhancing Municipal Police Department Justice System Through the Development of an Online Crime and Incident Reporting System Z andrel Jol R. Catindoy, Raphael Vincent M. Cuizon, Jonathan F. Pasos, Gabriel Angelo A. Pua, Diane Jenalyn B. Datul and Jerome S. Miguel School of Engineering, Architecture, and Information Technology Education, University of Saint Loius, Tuguegarao 08:00-08:20 Abstract: Following the crime, victims must go through a 4935 complicated and time-consuming process at the police station to report the crime. As a result, the Online Crime and Incidente Reporting System provides a solution for both victims and law enforcement. This makes the job more accessible and allows users to access numerous services such as a news feed and any updates on crime in the vicinity. The Online Criminal and Incident Reporting System is a reporting and management system that ensures quick and effective criminal responses. Among the features are report submission, report management, record-keeping, and news. It also gives primary data such as the number of recorded crimes or incidents, registration records, etc. The developers employ MySQL Server and AngularJS or system design and implementation to effectively satisfy the user requirement requirements and expectations of the respective end users. This system is adjusted to the department's unique needs to run smoothly and efficiently. It was designed to be as easy as possible so that allocated staff could fulfill their jobs quickly while avoiding data input errors. The Crime Reporting System outlined may result in a management system that is error-free, secure, dependable, and fast. 36

2022 International Conference on Information Technology Education (ICITE 2022) The Development and Implementation of the Automated Document Tracking Management System (ADTRACKSYS) Jane B. Gelindon, Betchie E. Aguinaldo and Gelmar Z. De Guzman College of Computing Studies Information Communication Technology, Isabela State University-Cauayan Campus 08:20-08:40 Abstract: The project was initially aimed the development and 369 implementation of the automated document tracking management system in order to solve the problem that is being observed during the Covid-19 pandemic in the communication records of Isabela State University-Cauayan Campus Quality Assurance Office. This led to the development of a generic system thereby drawing a few assumptions that were process in the dissemination of documents specifically in communication records. As a result, it is intended for the Quality Assurance Office and it focuses on the generating report containing all the documents that are being sent to all the employees concerned in the Isabela State University-Cauayan Campus. The users' experiences with the system were gathered and evaluated using a questionnaire based on the ISO 25010: Software Quality Standards Criteria and the provided Likert's Scale. The Portability criterion for ADTRACKSYS has the greatest grand mean of 4.60 as determined by the End-Users, despite the fact that all criteria produced grand means that are interpreted or equal to very strongly agree. As a result, the overall grand mean response of end users was 4.46, with very strongly agree being interpreted as being similar to very agree in terms of how they felt about the developed system. 08:40-9:00 Development of a Curriculum Management System for the 6837 BULSU-CICT Aaron Paul M. Dela Rosa and Gabriel M. Galang College of Information and Communications Technology, Bulacan State University, City of Malolos, Bulacan, Philippines Abstract: Curriculum development is a key to delivering quality education in a university in its offered programs. Bulacan State University (BulSU)’s College of Information Technology (CICT) is known for producing globally competitive graduates in the Philippines. 37

2022 International Conference on Information Technology Education (ICITE 2022) With its program offerings that advance from time to time, CICT shall continue to review, enhance, and revise its curricula to address the rapidly changing needs of the nation and the expected population it serves. This study focused on the digitization of the curriculum development process of CICT, allowing stakeholders, such as faculty members, students, industry, and academic partners, to review the college’s curriculum for the coming years. The was found acceptable by its intended users and will soon improve the curriculum development process of the college upon implementation. The Relationship Between Textbooks and Understanding and Using Knowledge in a 2-Credit Introductory Programming Course Natsuko Uchida, Ferris University Yokohama Yasushi Kuno, The University of Electro-Communications Tokyo 9:00-9:20 Abstract: In higher education, students need to learn the basics 8084 of programming and how to use it, considering the continuity of primary and secondary education and its connection to society. However, traditional introductory programming courses for majors not specializing in information did not cover software development. Classes specializing in software development assume that students have already completed an introduction to programming, and we have given up on the idea of including both in a single course. However, we have realized a curriculum that consists of an understanding of programming principles and knowledge of software development projects in 90 minutes and 15 sessions (2-credit) using drawing materials. In the first half of the curriculum, students learn basic programming knowledge, and in the second half, they conduct a software development project in teams based on the knowledge from the first half. In the first half, we want to ensure the early acquisition of basic knowledge in preparation for a smooth transition to the second half of the curriculum. This paper focuses on the first half of the curriculum. And we use code from submitted midterm assignments to assess learners' understanding of control structure and abstraction and its relationship to the textbooks. 38

2022 International Conference on Information Technology Education (ICITE 2022) Green IT Practices in a University in the Northern Philippines Louie Sayago 9:20-9:40 Abstract: This study was conducted to identify the green IT 379 practices of the University of Saint Louis. The respondents of the study were the 162 personnel regardless of ages and 9:40-10:00 genders who are designated in the academic office, 8212 administrative office and Center of Information and Communications Technology (CICT). The findings revealed that the green IT practices at the University of Saint Louis have already started. Moreover, the study shows that there is no significant difference in the energy conservation, waste reduction practice, recycling and disposal of solid waste and e- waste, and desktop energy conservation practices exhibited across all ages. Similarly, the practices of male and female respondents do not significantly differ between the practices exhibited. Additionally, there is no significant difference between the practices exhibited by the academic office personnel, administrative office personnel, and the CICT office personnel. These measures are moderately practiced, however, recycling and disposal of solid waste and e-waste shows somewhat extensive, hence there is a need to improve and adopt this practice. As a result, policies for these practices must be developed in order to improve and support green IT for environmental sustainability. Development and Evaluation of Vango: An Online Van Reservation System Faye Diane D. Talay, Graziel Louise Lynne D. Sorita, Kathleen Jean U. Viernes, Michelle B. Baui, Diane Jenalyn B. Datul and Jerome S. Miguel University of Saint Louis Tuguegarao, Tuguegarao City, Cagayan, Philippines Abstract: Rental and reservation processes in van terminals are still done manually – through pen and paper, with no standard documentation and maintenance. Now- adays, this method is no longer ideal and practical because it is time-consuming, inconvenient, and unorganized for both van terminal staff and commuters. 39

2022 International Conference on Information Technology Education (ICITE 2022) In this study, a responsive Web-based Online Van Reservation System called VanGo was developed to provide a centralized platform that efficiently helps van terminal staff with their business operations and commuters for accessible and cashless transactions. The system will generate e-tickets to keep proper documentation of transactions. The developers used Evolutionary Prototyping for the software development model. For the system design and implementation, the developers used the XAMPP server and MySQL for the database, Figma, and Visual Studio Code as the developmental software programs. HTML, CSS, JavaScript, and JQuery were used for the front-end and Laravel 9 as the framework. In conclusion, the Web-based Online Van Reservation System will alleviate the traditional way of seat reservations and van rentals. The system will primarily serve the demands of community commuters and the efficient deployment of van terminal business operations. Developing a Framework to Monitor Teacher Engangement in a Learning Management System: Perspective from an Educational Technology Office Paul Anthony C. Notorio, Roda N. Sanares and Ernesto P. Ramos Jr. De La Salle University - Dasmarinas, Philippines 10:00-10:20 Abstract: This paper examined the experiences of the Center for 8519 Innovative Learning Programs, an educational technology office, during the pandemic. The pandemic forced a sudden shift in teaching platforms for many teachers that impacted teacher engagement. Central to this platform shift is the Learning Management System (LMS), which became the primary tool in flexible learning. Thus, the need to monitor teachers’ engagement is crucial to determine the effectiveness of the learning experience and the interventions made during the pandemic. However, there is currently a lack of theoretical models and frameworks to guide academic institutions. This paper aims to bridge this gap through a heuristic inquiry approach. Personal reflections on the policies and LMS features were translated into narratives that were validated via researcher triangulation. 40

2022 International Conference on Information Technology Education (ICITE 2022) The findings yielded three key dimensions of policy, universality, and diversity, that shaped the monitoring of teacher engagement. The researchers propose the use of the dimensions of universality features of the LMS. The Monitoring Framework for Teacher LMS Engagement was also developed to guide academic administrators towards effective monitoring. This study contributes to the theoretical gap in e-learning monitoring. EPT: A Recovery Application for Stroke Patients Arfel Aguilar, Emmie Faye Marione Matabile, Jeffrey Calim, Danica Kate Mendoza, Eric Belarmino, Zyryl Garcia and Jennylyn Cuales 10:20-10:40 Abstract: Stroke is nowadays very common disease, particularly 3862 for those people who are at and above 45 years old. These are the people that vulnerable to stroke. The stroke patient causes brain attack due to lack of oxygen, which triggered brain function regulation. Most people suffer from stroke and cannot afford to get the treatment they need for their body's part of the damage. The researchers are designing an electronic Physical Therapy (ePT) and an application for treatment of stroke patients and for those stroke patients who cannot afford a physical therapist's therapy to help the people suffering from stroke. The objective of the study is to develop a glove with flex sensor to use it as a monitoring device to track a stroke person's range of motion and to check the improvement, and the researchers are also developing a therapy application. It is a motivating game, and it has different types of activities they can play based on their condition, and it can be used by hand movements in front of the computer-connected sensor. The researchers recommend this device for stroke patients and apply it to the rehabilitation center. 41

2022 International Conference on Information Technology Education (ICITE 2022) Authors' Presentations Session V Theme: Multimedia Computing and Information System Time: 08:00-11:20 Venue: Room 309 Session Chair: Dr. Raymond Macatangga Dr. Marmelo Abante Rescue Alert Emergency System in Tuguegarao City Bob Justine L. Beltran, Julius Cezar N. Jara, James Darrel A.. Parallag, Kimberly B. Ternura, Diane Jenalyn Datul and Jerome Miguel University of Saint Louis Tuguegarao, Mabini St. Tuguegarao City, Cagayan, Philippines 08:20-08:40 Abstract: Emergency scenarios are unpredictable; therefore, 9314 communication is critical for the rescue team and victims during disasters or accidents. Currently, in Tuguegarao City, emergency response institutions provide only hotlines or cell phone numbers to reach in an emergency. This technique is inadequate, mainly if a victim's rescuer is not nearby or unattended. The developers created a Rescue Alert Emergency System in Tuguegarao City to provide emergency response services to people in accidents, fires, floods, earthquakes, and crime. The system stores, manages, archives, and retrieves user and emergency report information for the managing institution and users. For the interactive and responsive performances of the system, the developers pursued the Evolutionary Prototyping Model; Laravel was utilized for the front-end and back-end development, and PhpMyAdmin for database development. 42

2022 International Conference on Information Technology Education (ICITE 2022) The system includes significant features such as reporting emergencies, notifying users and agencies, tracking victims using GPS, and generating emergency reports. The Tuguegarao City Command Center manages the Rescue Alert Emergency System and allows Tuguegaraoeños and bystanders access to it. It's a responsive Web-based system that enables users to send emergency reports to rescue agencies and administrators to manage and send rescue notifications efficiently, effectively, and satisfactorily. Evacuation Assistance and Response System Carl John Q. Tamayao, Alloysius T. Mabazza, John Denver V. Melo, Angelo T. Rosales, Diane Jenalyn Datul and Benedict Sy University of Saint Louis Tuguegarao, Mabini St. Tuguegarao City, Cagayan, Philippines 08:40-9:00 Abstract: As the Philippines is prone to various natural 4060 disasters, Filipinos are unaware of the location of evacuation centers in their areas. Another issue they face is being unable to locate their family members, which causes them to be distressed, which is not ideal during a disaster. A web-based Evacuation Assistance and Response System was developed in this study to assist residents in Tuguegarao City in locating the nearest evacuation in their area. This system includes a global positioning system that allows them to determine the location and direction of a specific evacuation. In developing software programs, the developer utilized Adobe XD, phpMyAdmin, and Visual Studio Code for system design and implementation. The Evacuation Assistance and Response System, which is web- based, serves its purpose of properly assisting the locality in providing immediate and temporary shelter to Tuguegarao City residents. 43

2022 International Conference on Information Technology Education (ICITE 2022) 9:00-9:20 Managing Student Information Using Data-Driven Graphical 825 Reporting Jasmin Jeanette C. Mama and Rohma S. Carim 9:20-9:40 Mindanao State University, Marawi City, Philippines 1984 Abstract: Today, data-driven decision support is used for various purposes, including operational and strategic business intelligence queries, static and real-time performance monitoring, and customer relationship management. In an era of big data, becoming a graphical reporting organization has become vital for universities to become data-driven; data primarily support the decisions made. To achieve this, universities need to restructure their databases and store them in a connected data warehouse. Graphical reports, also called visual depictions, use graphic elements to make the report data more visually appealing and enhance usability by displaying data graphically in chart formats. The regular use of spreadsheets in sorting through countless numbers of data can be confusing, not to mention time-consuming. It is a struggle to provide quick and real-time, meaningful reporting. Using data- driven graphical reporting will improve and speed up the decision-making process and contribute to better performance. Stuck in Limbo: A 3D Animated Short Film R aymond S. Macatangga, Jesper M. Dela Cruz, Londren U. Velasco, David A. D'Angelo and Ryann Randolf V. Santos Our Lady of Fatima University, Philippines Abstract: This short 3D animated film with the theme “finding your purpose in life”. It is inspired by the passions such as gaming and experiences of the proponents themselves and structured after the Maslow’s hierarchy of needs. The idea to create this project originated from two (2) questions which are: “Who am I now?” and “what am I doing with my life”. The lack of answer to these questions is what the proponents perceive as “Limbo” or simply a place in your life where you got stuck. It is a metaphor really and the word itself may also mean the realm between life and death. Using the 3d animation software Blender, the proponents intend to provide their own answers to these questions in a creative and interesting way that would help connect others to relate their own experiences and escape their own “Limbo”. 44

2022 International Conference on Information Technology Education (ICITE 2022) Jigsaw Adventures: Cagayan 2D Puzzle Educational Game Jonyl Adrian T. Mateo, Richmond A. Langcay, Jan Lawrenz Q. Tumaliuan, Peejay C. Blas, Benedict Sy and Diane Jenalyn Datul University of Saint Louis Tuguegarao, Mabini St. Tuguegarao City, Cagayan, Philippines 9:40-10:00 Abstract: In technological progress, video games have evolved 1964 into the most popular form of entertainment and attention for individuals. With increasing user involvement in games, People 10:00-10:20 in the community are more familiar with areas outside of 2050 Cagayan rather than with the local places found inside the valley of Cagayan. Tourism in Cagayan isn’t well known compared to different places and areas or places around the country. Instead, the locals tend to know more of the places that are present in other regions and places that are popular instead of having familiarity with the places inside of Cagayan. As part of the contribution of the proponents to create a medium that can promote tourism awareness, an Jigsaw puzzle video game called Jigsaw Adventures: Cagayan was developed. Jigsaw Adventures: Cagayan is a 2D-based puzzle jigsaw solving game with a twist of trivia where a player travels around different municipalities in Cagayan putting puzzle pieces together and learning facts and history about that place. To help promote Tourism awareness the game mechanics was designed for players to get familiar with the places in Cagayan and its tourist spots. Because of the system's features and functionalities, evolutionary prototyping is used. With this method, the researchers are able to modify the game. The game is made using Unity 3D Game Engine .Thirty respondents assessed the game and the game evaluation has proven the following points: (1) that the game promoted awareness to tourism in cagayan, (2) The game is playable for all ages and groups (3) that gamification can be used as a way to promote education and tourism. Development of a Digital Snake and Ladder Game as a Strategic Intervention Material for Basic Education J asten Keneth D. Trecene, Michael B. Batan and Aljon L. Albines Eastern Visayas State University – Tanauan Campus Tanauan, Leyte, Philippines Abstract: Digital game-based learning (DGBL) applications enable learners to learn and play. 45

2022 International Conference on Information Technology Education (ICITE 2022) The use of DGBL as learning media can also encourage users to discover and build their knowledge of learning. The goal of this study was to design and develop a digital game-based learning application called E-Snake and Ladder Game that can be used as a strategic intervention material for teaching various subjects. It is a digitized snake and ladder game where subjects and quizzes were incorporated to achieve the goal of the study. The game was evaluated by 20 teachers and 80 students using the MEEGA+ model, the game evaluation has proven to be satisfactory to the players and it is easy to learn and play while promoting fun and relaxing gameplay and providing educational value. Siklab: A Multiplayer 3D Role Playing Game Showing Appreciation to Philippine Folklore and Mythology Merriciel Miranda, Nilord Torres, Jerald Malabanan, Febbraio Primo Dator and Reymark Natividad First Asia Institute of Technology and Humanities 10:20-10:40 Abstract: In this paper, the developers present the design and 8134 development of the prototype for a game called Siklab. The game features an open-world environment based on the Ancient Philippines setting and includes an action-based battle system. The game showcased three different classes: Eskriminador, Mamamana, and Babaylan. It also provided Player Vs Player (PvP) , Dungeon System, Guild Wars and Trading System. Xcape Room: A Three-Dimensional Android Game on Algebra Adrian Carlo Ivan C. Comia, John Marvin M. Dungo, Elaine Joy V. Espiritu, Benedict M. Estrella, Charvie Mitch G. Lopez, Jay Mark H. Mendoza and Clarence Mae P. Quinto Mathematics Department, College of Science, Bulacan State University 10:40-11:00 Abstract: As the world evolves and technology advances, new 8274 creative learning strategies are being developed, particularly in the use of technological devices, most notably smartphones. In line with the advancement of technology, the researchers' objective is to develop a 3D Android game, Xcape Room, to help users improve their mathematical skills, particularly in Algebra, while also having fun while learning. 46

2022 International Conference on Information Technology Education (ICITE 2022) In Xcape Room, players must complete all levels by solving algebra questions. It is a blend of adventure and 11:00-11:20 educational game that aims to improve learners' algebra 6460 aptitude and to boost the involvement of people with varying learning styles. Xcape Room is fully developed under the Unity Game Engine, this uses C# programming language and integrates Visual Studio for editing code. The game was evaluated by 196 first and second-year BS Mathematics students, 14 faculty from the College of Science-Mathematics Department, and 5 faculty from the College of Information and Communications Technology from Bulacan State University. The evaluation results to a mean rating of 4.26 in Player Experience which includes confidence, challenge, satisfaction, fun, focused attention, relevance, and perceived learning; and a mean rating of 4.24 in Usability which consists of aesthetics, learnability, operability, and accessibility. The overall mean of 4.25 means that the game is acceptable to the users and only needs minimal improvements. Sab't Board Game - The Epic Tale of Darangen S.B Gulam Faculty of Department of Computing Sciences, Mindanao State University - Marawi, Philippines Abstract: The Epic Darangen is a folktale that talks about the Meranaw people. It is a folktale that spans over eight volumes. It has been translated into several languages. The concept of the folktale revolves around the use of traditional storytelling techniques to provide solutions to various social issues. In his book, Mamitua Saber shows how the Moro people have maintained an extravagant lifestyle despite the influence of Western culture. This lifestyle is considered the highest civilization in the Philippines. However, as time passes, the Meranaw culture is not being patronized by the young generation. One of the main factors that affect the culture's stability is the continuous loss of the popular Meranaw literature. Young people today have a mixture of cognitive abilities different from those of their predecessors. One better way to meet digital natives in their native languages is to learn through digital games. Sab't board game – 47

2022 International Conference on Information Technology Education (ICITE 2022) The epic tale of Darangen is a board game that aims to reimagine the story of the Epic Darangen of the Meranaw people through an abstract-strategy tabletop game that will help conserve and preserve the Meranaw Cultural Heritage, primarily the Meranaw literature. 48

2022 International Conference on Information Technology Education (ICITE 2022) Authors' Presentations Session VI Theme: Online Time: 08:00-11:20 Venue: Room 313 Session Chair: Prof. Jarek Cabautan Dr. Gilbert Tumibay Neural Network Approach Model for Bivalve Classification A lme Maravillas, Larmie Feliscuzo and James Arnold Norga 08:00-08:20 Abstract: The classification of marine organisms such as 955 bivalves is essential to understanding the components of biodiversity, their conservation, and sustainable use. Bivalves play a vital role in the coastal ecosystem and constitute a significant food source and livelihood. However, the bivalve species are the most highly gleaned in the coastal ecosystem under the shade of endangered species. Hence, this study aims to classify the marine bivalves found in the Northwestern part of Bohol. The second objective of this study is to integrate the model into an application. This could help to provide awareness to the community, specifically on the bivalves that are highly threatened and endangered species. Various images of bivalves were collected from the coastal area in the Northern part of Bohol, Philippines. After the data collection, image preprocessing techniques were used to improve the efficiency of the model. In the experimentation, three deep learning methods such as MobileNetv2, EfficientNetB4, and ResNet50 Architecture were used to create the neural network model for the classification. Results from the experimentation show that EfficientNetB4 achieves higher accuracy in the classification of bivalves. The implemented model achieves 97.29% classification accuracy, recall rate of 97%, 97.46%, and 97.025% for the recall and F1- score, which shows clearly that CNN can extract essential features and classify bivalves from images taken in the natural environment. 49