Jay-ar P. Lalata
15 Publications
Scopus ID: 105030542624
2025 23rd International Conference on ICT and Knowledge Engineering (ICT&KE), (2025), pp. 1-6
Conference Paper | Published: December 9, 2025
Abstract
Upcycling is a sustainable solution that mitigates environmental changes, focusing on climate action, by extending the lifecycle of products and reducing wastage. This study investigates Filipino consumers’ behavioral intention to use an upcycling e-marketplace, highlighting the intersection of sustainability, consumer psychology, and digital platforms. Despite growing interest in circular economy models, adoption drivers in this domain remain underexplored and are rarely modeled with predictive analytics. To address this gap, the study collected data from 500 Filipino participants capturing environmental knowledge and concern, perceived ease of use and usefulness, attitude toward use, perceived behavioral control, subjective norms, user demand, and intention, then analyzed using multiple machine learning algorithms, namely, Decision Tree, Random Forest, Gradient Boosting, XGBoost, K-Nearest Neighbors, and Support Vector Machine. Among these, the Decision Tree model demonstrated the best balance of predictive accuracy (95%), precision (96%), and recall (91%), suggesting strong classification capability. Analysis of the importance of features revealed that Perceived Usefulness, Attitude Toward Use, and Subjective Norms were the most influential predictors of adoption, outweighing traditional environmental concerns. These findings underscore the importance of designing upcycling platforms that emphasize practical value, user convenience, and social validation. The study concludes that sustainable behavior is more likely when aligned with personal benefits and peer influence, rather than relying solely on environmental appeals.
Scopus ID: 105030171060
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-6
Conference Paper | Published: December 3, 2025
Abstract
Freight forwarding plays a crucial role in international trade, facilitating the movement of goods through transportation, customs clearance, and documentation management. However, manual processing of transportation transactions in freight forwarding poses various challenges, including inaccurate documentation, inefficient routing and carrier selection, and delayed shipment booking, which can result in disruptions, higher costs, and customer dissatisfaction. To address these issues, the development of a Freight Forwarding Management System is essential by digitizing and automating transactions. Freight forwarding companies can improve accuracy, efficiency, and visibility in their operations. The integration of web and mobile applications enables streamlined order handling, accurate quotations, and an organized inventory. The system's performance was evaluated using the ISO 9126 model, and it received an “Excellent” rating, demonstrating its functionality, reliability, usability, portability, efficiency, and maintainability. Moreover, the inclusion of a best-fit algorithm in the scheduler system allows for both automatic and manual selection of drivers and vehicles by intelligently matching the most suitable drivers and vehicles to specific shipments, the scheduler system optimizes resource allocation, ensuring efficient utilization of assets and improved delivery performance. Through technological innovation, freight forwarding can overcome manual processing challenges and enhance operational performance to meet customer needs effectively.
Scopus ID: 105030166329
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-5
Conference Paper | Published: December 3, 2025
Abstract
This study utilized purposive random sampling during beta testing of the game “O Ektos,” a 3D-PC real-time strategy game aimed at raising awareness about clean water and sanitation. Over 100 respondents, including BSIT students specializing in game development, web management, and digital arts, as well as executives and staff from the MWF organization, participated in the evaluation. Respondents tested the gameplay, promotional website, and overall aesthetics, assessing aspects such as mechanics, graphics, user interface, sound design, and storyline. Results showed that the game was well-received across all categories, highlighting its effective design and alignment with the United Nations' Sustainable Development Goal No. 6. The game's combination of contemporary technology, engaging gameplay, and meaningful content positions it as a feasible tool for raising awareness about water pollution and sanitation issues.
Scopus ID: 105016177320
2025 Seventh International Symposium on Computer, Consumer and Control (IS3C), (2025), pp. 1-6
Conference Paper | Published: August 29, 2025
Abstract
This study seeks to predict the intention to adopt greener last-mile delivery in telemedicine supply chain using machine learning-based approach. Data used in the study were acquired from 349 respondents in the Philippines, and examined using different machine learning techniques, namely, Gradient Booting, Random Forests, Support Vector Machines, K-Nearest Neighbor, XGBoost, and Decision Tree further validated using various performance metrics. Results demonstrated that more than 80% of machine learning models' performance accurately predict intention to adopt greener last-mile delivery in telemedicine. Moreover, RF, SVM, and XGB attained optimal prediction performance. Attitude towards greener delivery, perceived behavioral control, perceived usefulness, were the most significant factors influencing the intention to adopt greener last-mile delivery, followed by subjective norms and trust in technology. Interestingly, perceived ease of use ranks the lowest, indicating that intention to adopt greener last-mile delivery among individuals is mostly affected by attitude to support green logistics and their perceived benefits rather than the ease and trust of using this technology. Lastly, theoretical and practical implications, together with effects in telemedicine supply chain are presented at the end of the study.
Scopus ID: 105016110571
2025 Seventh International Symposium on Computer, Consumer and Control (IS3C), (2025), pp. 1-6
Conference Paper | Published: August 29, 2025
Abstract
This paper seeks to predict a consumer's green purchase intention and classify them as green consumers or not through a set of cognitive and behavioral factors. Data were obtained from 526 Generation Z in the National Capital Region (NCR), Philippines, and evaluated through various machine learning techniques, namely, Decision Trees, Random Forests, Gradient Boosting, XGBoost, K-Nearest Neighbors, and Support Vector Machines. Various performance metrics were used to validate these models. The findings show that most of the models achieved above 80% classification performance. Further, the study revealed that perceived behavioral control, green perceived value, and social media impact were the most crucial factors of green purchase intention, followed by environmental consciousness, green perceived quality, and environmental knowledge. Interestingly, green self-identification achieved the lowest rank, which suggests that green purchase intention among Filipino Generation Z is driven more by practical and psychological factors than just environmental awareness and identity. Finally, theoretical and practical implications are offered at the end of the study.
Scopus ID: 105012208378
2025 16th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e), (2025), pp. 638-642
Conference Paper | Published: July 16, 2025
Abstract
Loan management in transportation cooperatives involves the assessment, approval, disbursal, and monitoring of loans for various member needs, ensuring compliance with regulations, and providing support throughout the loan lifecycle. The traditional manual processes and paperwork used in loan management are prone to errors and data redundancy, are time-consuming and inefficient, lack transparency, and cause difficulty in data analysis and reporting, highlighting the need for a proficient Loan Management Website and Mobile Application. This study presents the development of a comprehensive system that efficiently handles data, integrates the credit scoring system, and leverages the FICO score for accurate loan amount recommendations, enhancing decision-making and enabling improved money monitoring, risk management, and record storage. The system's quality was evaluated using ISO 9126's software characteristics such as functionality, usability, reliability, and portability, yielding an overall mean score of 4.71 for the web application and 4.68 for the mobile application, indicating its seamless facilitation of loan transactions. The integration of additional technologies like Decision Support and SMS notifications enhances risk management and financial transparency, fostering increased capital generation for cooperatives, thereby providing opportunities for business growth and sustainability. The developed Loan Management System offers a streamlined approach compared to traditional methods, facilitating faster loan application, approval, and payment processes. Overall, this research contributes to the advancement of loan management practices in transportation cooperatives by leveraging technology, enhancing decision-making processes, and promoting financial efficiency and transparency.
Scopus ID: 105030188922
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2024), pp. 1-5
Conference Paper | Published: January 1, 2024
Abstract
Forest devastation is a critical environmental issue with severe ecological consequences. The Philippines, in particular, faces significant challenges in conservation efforts, compounded by a lack of public awareness about the effects of deforestation. To address this gap, we developed “Leshy: A 3D Action-Adventure Game Using Character Switching Mechanics for Promoting Awareness on Combating Forest Devastation.” This game immerses players in a virtual environment that reflects the real-world impacts of deforestation, leveraging character-switching mechanics to enhance engagement and education. “Leshy” aligns with Sustainable Development Goal (SDG) No. 15 - Life on Land, offering a unique and interactive approach to inspire action against forest devastation. The game's effectiveness was evaluated based on Gameplay, Aesthetics, User Interface (UI), Sound Design/Audio, and Storyline, achieving an overall average score of 4.44, rated as “Excellent.” This high rating indicates the game's success in engaging players with its captivating gameplay, appealing visuals, intuitive interface, immersive sound, and compelling narrative. The accompanying website, assessed using the FURPS model (Functionality, Usability, Reliability, Performance, and Supportability), received an overall average score of 4.50, also rated as “Excellent.” This demonstrates the website's user-friendly interface, dependable reliability, and strong performance, ensuring a seamless user experience. In conclusion, “Leshy” effectively addresses the issue of forest devastation by combining educational content with an engaging gaming experience. This project highlights the potential of interactive media in raising environmental awareness and inspiring conservation efforts. Further development and promotion of similar educational games are recommended to enhance their impact on environmental conservation.
Scopus ID: 105030173731
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2024), pp. 1-6
Conference Paper | Published: January 1, 2024
Abstract
Caring for a child with Autism Spectrum Disorder (ASD) presents numerous challenges for parents, often leading to psychological distress, depression, anxiety, and other health issues. Understanding and addressing the various behaviors exhibited by children with ASD can be particularly difficult. Despite advancements in the diagnosis and treatment of ASD, many families still struggle to access specialized care and support. To address these challenges, we developed ASDvisor, an innovative application designed to provide comprehensive support for parents of children with ASD. ASDvisor integrates valuable information, efficient documentation, decision support, educational resources, data tracking tools, and enhanced communication to improve the management of ASD care through a user-friendly web and mobile platform. The system's quality was evaluated using the FURPS model, which evaluates functionality, usability, reliability, performance, and supportability of the system. ASDvisor received excellent ratings, scoring 4.33 for the web application and 4.37 for the mobile application. Key findings highlighted the application's robust performance in tracking and managing ASD-related activities, offering valuable decision support through its Care Decision module, and fostering community engagement among users. ASDvisor effectively addresses the identified challenges, providing a reliable, efficient, and cost-effective tool for enhancing the quality of life for children with ASD and their families. This research demonstrates the potential for technology to significantly improve ASD care management.
Scopus ID: 85148011429
Lecture Notes in Networks and Systems, (2023), pp. 83-91
Book Chapter | Published: January 1, 2023
Abstract
E-commerce plays an essential role in selling products or services online because it can reach more customers than traditional retail. If the customer data is appropriately mishandled, it disrupts the business’ data organization and poor customer relationship management. The study focuses on creating an e-commerce website that efficiently handles the data and integrates a personalized hybrid recommender system. Content-based and collaborative filtering methods were used in the recommender system to improve customer relationship management, streamline procedures, organize inventory and sales, and increase profits. Sales forecasting using ARIMA was also added to use the customer data for efficient business decisions. ISO 9126 was the software quality model used to evaluate the developed system using the software quality characteristics functionality, usability, maintainability, and efficiency. The system got an overall mean score of 4.57, which is excellent, which means the system can perform smooth transactions from ordering up to the checkout and organized products, sales, and inventory. The integration of the recommender systems was able to give recommendations based on the customer's preferences, which enhances the user experience that may lead to an increase in sales of the business since the suggestions are tailored recommendations to the users.
Scopus ID: 85122081892
Lecture Notes in Networks and Systems, (2022), pp. 475-482
Book Chapter | Published: January 1, 2022
Abstract
HWYL (meaning “a stirring feeling of emotional motivation and energy”) is a 3D isometric puzzle adventure game for Android devices. The whole game revolves around the adventures of Thomas as he unknowingly helps the mayor and the townspeople in solving environmental problems through playing meaningful mini games. The mini games comprise of different casual games that focus on teaching the players about the major environmental issues such as ozone depletion, and disposal of wastes. The interactive learning experience educates players how to mitigate environmental problems. The game garnered very satisfactory results from the play testers, proving that the game has been successful in promoting environmental awareness through edutainment, and the game as a system works as intended with compliance to software quality factors.