Joseph Jessie S. Oñate

Joseph Jessie S. Oñate

Assistant Professor IV/Head, CGIASP/AIRCoDe

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Posts

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portfolio

Establishment of AI Research Center for Community Development

AIRCoDe is a research center intended for research studies implementing Artificial Intelligence Technology. The establishment of AIRCoDe is funded by the Department of Science and Technology – Philippine Council for Industry, Energy, and Emerging Technology Research and Development (DOST-PCIEERD) under the Infrastructure Development Program in 2021.

publications

Development of Electronic Business Permit and Licensing System (eBPLS)

Published in 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018, 2019

E-government emerged as an important aspect in the delivery of public services. However, some local government e-services only offer interactive content such as application procedures and downloading of forms, and the process takes so long to complete. Hence, the main focus of the study is to develop a system, which will facilitate the application process of business permit and license into a streamlined electronic version using business permit and licensing system named eBPLS. This study adopted a modified Princeton Project Development Methodology (PPMP) as framework to structure the process of software development. The study used structured interview and survey questionnaires, which is designed in line with the ISO 9126 Software Quality Metrics, as data collection tools. In order to quantify the survey results the researchers used Five-Point likert scale and weighted mean to statistically analyze and interpret the general result. The survey focused on the perception of the respondents from the Business Permit Licensing Office of the two (2) municipalities in Camarines Sur, Philippines. Based on the findings, majority of the respondents perceived the proposed system as highly acceptable based on the average weighted mean of 4.61. Moreover, eBPLs was able to speed up the service delivery to one (1) day for both the new and renewal of business applications.

Recommended citation: J. J. S. Oñate, C. D. Omorog and A. S. Babol, "Development of Electronic Business Permit and Licensing System (eBPLS)," 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), Baguio City, Philippines, 2018, pp. 1-6, doi: 10.1109/HNICEM.2018.8666319. https://doi.org/10.1109/HNICEM.2018.8666319

Integration of RESTFul API to Student Information System for Secured Data Sharing and Single Sign-on

Published in 2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2021

Growth in the usage of REST APIs has been witnessed in recent years. Many businesses and companies, such as social media sites and online services, used API to interoperate with other benefits. REST was considered the most logical, efficient, and widespread standard in the creation of APIs. Hence, the main focus of the study is to develop a Web-Based Student Information RESTful API. This paper utilized the incremental model in the development of the system. A survey was used to validate the problems encountered in acquiring student information and determine the software quality based on ISO 9126 software quality metrics. Survey questionnaires were distributed to the system developers as the study respondents following the total population sampling technique. A five-point Likert scale was used to quantify the survey result and weighted mean to analyze and interpret the result. Based on the analysis and interpretation, the system developers recognized that the system is Acceptable with an average weighted mean of 4.44. This study also developed a profiling system that is connected to the Single Sign-On (SSO) API. The profiling system serves as the data source of student information of the REST API. Besides, the portal and the REST API were utilized by various information systems such as ID Generation Management System (SIGS), Event Management System (EMS), Faculty Performance Evaluation System (FPES), and Smart Card-based attendance and monitoring.

Recommended citation: P. A. M. Serrano and J. J. S. Oñate, "Integration of RESTFul API to Student Information System for Secured Data Sharing and Single Sign-on," 2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Manila, Philippines, 2021, pp. 1-6, doi: 10.1109/HNICEM54116.2021.9731898. https://doi.org/10.1109/HNICEM54116.2021.9731898

Visualization and Geo-Mapping of Philippine Fire Incidents

Published in Journal of Engineering and Emerging Technologies, 2022

A fire incident is one of the most catastrophic calamity bringing injuries, loss of properties, and casualties. In the Philippines, a rapid increase in fire incidents was recorded from 2013 to 2016. In this paper, we explore the importance of data visualization and analysis in extracting useful information that might help in planning and decision-making. This study used the 2012–2016 Philippine Nationwide Fire Incident Statistics data provided by the Bureau of Fire Protection through Open Data Philippines. Data cleaning and reprocessing were conducted to develop a dynamic system known as FireStatPH using Flask. Different data visualization techniques such as choropleth map were also used in the study to represent each dataset. FireStatPH can easily identify the cities and municipalities with high fire incidents, injuries, deaths, and damages. It also provides fast statistics based on fire incident data. The system contributes to the planning and decision-making process in eschewing fire incidents in the Philippines.

Recommended citation: Oñate, J. J. (2022). Visualization and Geo-Mapping of Philippine Fire Incidents. Journal of Engineering and Emerging Technologies, 1(1), 15–23. https://doi.org/10.52631/jeet.v1i1.121 https://doi.org/10.52631/jeet.v1i1.121

Exploring RAU-net for semantic segmentation of Philippines satellite images in identification of building density

Published in International Journal of Remote Sensing, 2022

This study explores RAU-Net convolutional network architecture on satellite images by classifying geospatial objects on satellite images such as roofs to help in determining the building density of a specific location. This study developed a satellite image dataset in the Philippines and trained the dataset in an RAU-Net Convolutional Neural Network using Tensorflow Keras API. This study proves that U-Net works with a few datasets and provides acceptable performance scores. Furthermore, a new way to calculate Building Density in terms of Building Coverage Ratio (BCR) using satellite images was also presented in this study. The model and the analysis were integrated into an application that determines the BCR of a specific location through a satellite map.

Recommended citation: Joseph Jessie S. Oñate & Marianne Ang-Tolentino (2022) Exploring RAU-net for semantic segmentation of Philippines satellite images in identification of building density, International Journal of Remote Sensing, 43:15-16, 5738-5756, DOI: 10.1080/01431161.2021.1986239 https://doi.org/10.1080/01431161.2021.1986239

Design and development of faculty performance evaluation system (FPES) v2.0

Published in AIP Conference Proceedings, 2023

One of the essential ingredients in establishing trust in academic institutions among its stakeholders is the quality of its learning providers. Hence, it is imperative to continually adapt innovations to improve educators’ evaluation process and deliver a reliable result for data-driven decision-making. This study focused on enhancing the existing faculty performance evaluation system (FPES) for the Camarines Sur Polytechnic Colleges (CSPC) following the RUP’s Iterative Model as its system development methodology (SDM). A total of 75 respondents were identified using specific sampling techniques according to the respondent type. The participants’ responses from the unstructured interview and survey were the basis of the upgrade, uncovering the current status of the FPES version 1.0 (FPES v1.0) and its level of acceptability according to the ISO 9126 Software Quality Metrics. Using the same indicators, respondents evaluated the proposed FPES version 2.0 (FPES v2.0) and employed Chi-Square Statistics and Cramer’s Rule to compare the performance of both systems. Findings revealed an overall rating of 4.0025 Likert Score for the FPES v1.0, indicating its acceptability in terms of functionality, reliability, efficiency, maintainability, and portability. However, a significant improvement in the overall rating for the FPES v2.0 with a 4.53 Likert Score justifying the system as strongly acceptable. The results signify that the enhancement of the faculty performance evaluation system (FPES v2.0) manifested a positive impact in the institution’s faculty performance evaluation process, thus a favorable alternative to the existing system. Nonetheless, carrying out the recommendations, particularly enhancing the system’s functionalities as needed over time, will ensure the sustainable use of the system.

Recommended citation: Brenda Benosa, Joseph Jessie Oñate; Design and development of faculty performance evaluation system (FPES) v2.0. AIP Conf. Proc. 16 May 2023; 2602 (1): 030020. https://doi.org/10.1063/5.0124077 https://doi.org/10.1063/5.0124077

talks

teaching

Undergraduate Courses

Undergraduate courses, College of Computer Studies, Camarines Sur Polytechnic Colleges, 2023

Courses taught in undegraduate programs at the College of Computer Studies, Camarines Sur Polytechnic Colleges