Publication
Abstract:The study aimed to design, develop, and evaluate a tourism information system called Viajefy, incorporating the TF-IDF algorithm and assessing its model performance. It employed Feature-Driven Development as the software development method. It utilized the Cross-Industry Standardized Process for Data Mining for the data mining process of the TF-IDF algorithm, serving as its recommender agent feature. The confusion matrix evaluation tool was used to assess the algorithm's performance, yielding an accuracy of 97%, a precision of 93%, and a recall of 90%. Results showed that the recommender agent of the software application was proven reliable based on the algorithm's performance criteria in terms of accuracy, precision, and recall, and the system received a Very Highly Acceptable rating of 4.74. This software application is one of the first studies along tourism information systems for Ilocos Sur, Philippines, to integrate a recommender agent to help the Provincial Government of Ilocos Sur advertise attractions and establishments to be managed by the said government, where one of the Seven Wonders of the World, Vigan City, is situated.
Keywords:confusion matrix, CRISP-DM, machine-learning, natural language processing, text mining
Abstract:Rice is the number one staple food in the country, as this serves as the primary livelihood for thousands of Filipino households. However, as the tradition continues, farmers are not familiar with the different types of rice leaf diseases that might compromise the entire rice crop. The need to address the common bacterial leaf blight in rice is a serious disease that can lead to reduced yields and even crop loss of up to 75%. This paper is a design and development of a rice leaf disease detection mobile application prototype using an algorithm used for image analysis. The researchers also used the Rice Disease Image Dataset by Huy Minh Do available at this https URL to train state-of-the-art convolutional neural networks using transfer learning. Moreover, we used image augmentation to increase the number of image samples and the accuracy of the neural networks as well
Abstract:Higher Education Institutions (HEIs) in the Philippines consider student development services as a significant support system for students' academic experience as well as for institutional development. The complementation of co-curricular activities to academics may lead to students' holistic development. As these continue, many documents are also being produced in the conduct of those activities. Thus, the decision-making process as well as the management of those documents are difficult tasks for Higher Education Institutions in support of students' welfare and development. Decision-making is a critical phase to analyze document submission of student organizations' developmental activities. This research focused mainly on the design, development, and evaluation of a mechanism for document management with descriptive analytics through data visualization techniques that would help in the decision-making of HEI's administration. The researchers designed the system with an analytical model transformed into codes and MySql as backend framework for student organizations' Key Performance Indicators to analyze in real-time the student organizations' document submission. A Rapid Application Development served as the basis for the design, development, and evaluation of the system. The system addresses data and document management, repository, announcements, communication, dissemination to students, decision-support with the integration of dashboards as part of a descriptive analytics approach. Dashboards provide ease of viewing Key Performance Indicators (KPIs) to the system's end-users. The system's evaluation obtained an overall weighted mean of 4.43 with a Very Great Extent description. This evaluation shows that the system is ready for deployment and implementation. The automation of operations and analysis of documents will ease users' operations, optimize resources, and aid a timely decision-making process.
Keywords:decision-support system, analytics, descriptive, student organizations, descriptive analytics, DSS, dashboards, data visualization, document management, data analytics, business intelligence
On-going
- A Proposed Smart Car Parking for UNP using Arduino (STIE-24-1)
Presentation
- Development of SolvEase: A Service Request Ticketing System for the University of Northern Philippines (2025)
- Development of SolvEase: A Service Request Ticketing System for the University of Northern Philippines (2024)
- Development of Ilocos Sur Viajefy: A Tourism Information System Using Applied Text Frequency-Inverse Document Frequency Text Mining (2024)
- Online Learning System for University of Northern Philippines (2024)
Citations
- Forest management system using iD3 decision tree algorithm for the Department of Environment and Natural Resources (2025) https://doi.org/10.47172/2965-730X.SDGsReview.v5.n01.pe03645
- Development of a Prototype Application for Rice Disease Detection Using Convolutional Neural Networks (2023) https://ieeexplore.ieee.org/abstract/document/10270771/authors#authors