Isabela State University Linker: Journal of Engineering, Computing and Technology

Empowering Local Government Units with Open-Source Tools: Building A Dynamic Web-Based Information System

2024-06-18T07:38:31+00:00

The Local Government Unit (LGU) of Cabagan, Isabela targets to enhance transparency and public service delivery. To achieve these goals, a dynamic web-based information system was developed with three primary objectives: promoting transparency, showcasing municipal accomplishments, and providing easy access to essential services and financial data. The web development process was employed to create the system, utilizing a client-server architecture for efficient data
management and processing. Open-source tools such as PHP, HTML, JavaScript, Bootstrap, MySQL, and web browsers were used in the website's development. The site featured a user-friendly, responsive interface and included data uploaded from the municipal level via cPanel web hosting, with the domain registered at www.lgucabagan.gov.ph. The web hosting company ensured reliable data management and website maintenance. Furthermore, a user-end evaluation using a 5-point Likert scale rated the website's design and layout as very satisfactory. Users appreciated the logical structure, easy navigation, and accurate information presentation of the system. The forum page facilitated user feedback, enabling continuous improvement based on community input. The findings from this study demonstrate the potential of open-source technologies to improve local governance and public service delivery. The results highlight the importance of user-centered design in creating effective digital platforms for local government units. The successful implementation of this system in Cabagan underscores its potential for replication in other municipalities, promoting transparency and enhancing public service delivery across the Philippines.

Prediction Model on the Relationship of Undergraduate Grades and Licensure Examination Performance of BS Agriculture and Biosystems Engineering

2024-06-29T14:36:34+00:00

This study employed WEKA software and data mining techniques in order to identify the critical grade subject(s) needed for passing the licensure examination for BS Agricultural and Biosystems Engineering Licensure exam. This study's proponents examined the ABE licensure exam grades of 84 BSABE graduate students between September 2015 and October 2019, in order to ascertain if higher scores on undergraduate exams correlate with passing the examination. Researchers also created a dataset covering all academic subjects within the BSABE Program, such as Engineering Mathematics, Science Subjects, Major Subjects, General Subjects and Competency Appraisal subjects.Their results suggested that undergraduate students who scored highly on these subjects during their undergraduate studies stood a better chance at passing ABE licensing examination.

Plastic2Fantastic: Reverse Vending Machine for Plastic Bottles

2024-06-18T07:23:03+00:00

Waste has become one of the most serious global issues today. Recycling is one of the important ways to manage waste properly. Reverse Vending Machine is an innovative idea that inculcates the habit of recycling waste materials. To overcome the problem of waste, Plastic2Fantastic: Reverse Vending Machine for Plastic Bottles was developed as a machine that accepts and deposits empty plastic beverage containers in exchange for money. The machine was constructed from aluminum and implemented in a standard trash bin equipped with Raspberry Pi 3B, 7-inch Touch Screen LCD, RFID reader, coin hopper, ultrasonic sensor, capacitive proximity sensor, inductive proximity sensor, IR proximity sensor, and M995sg servo motor. The machine is capable of detecting RFID cards, identifying plastic bottles as deposits, and dispensing coins. Functionality testing showed very good performance, with the recommendation that labels be added for improved user guidance. Evaluation results indicated that respondents strongly agreed with the machine’s usefulness, demonstrating its potential impact in promoting recycling practices. The positive feedback
highlights the machine’s effectiveness and user-friendliness. The machine as a whole offers a cost-effective and simple solution to the waste problem.

Forecasting Gasoline Retail Prices Using Predictive Analytics

2024-06-18T07:05:07+00:00

Forecasting gasoline and diesel retail prices is crucial for consumers, businesses, and policymakers due to the significant economic impact of fuel costs. This study aimed to address the challenge of predicting these prices using predictive analytics. It sought to identify weekly price trends, develop accurate forecasting models for various types of gasoline and diesel, and create an application to integrate these models. Data from Kaggle, encompassing 1,362 instances with attributes (date, regular, midgrade, premium, and diesel) over 26 years (1995-2021), were analyzed. The findings indicated inconsistent prices across gasoline types and a recent sharp decline in retail prices. Using the ARIMA (1,0,0) model, the study developed a forecasting model with minimal differences between actual and forecasted prices. The five-week forecast revealed a steady price increase, with a low RMSE of 0.22 to 0.26, indicating excellent model accuracy. Additionally, an application with a dashboard for visualizing weekly gasoline and diesel price trends was developed. This study successfully provides a model for forecasting retail gasoline prices, helping consumers anticipate price increases.

Judicial Court Information Management System (J-CIMS) for Regional Trial Court in the Philippines

2024-06-29T15:05:38+00:00

To recognize the importance of electronic delivery of public services and identify areas for implementation that will ensure benefits for different users in court proceedings, Executive Order (E.O.) No. 47, s. 2011, Section 5 enhances infrastructure and information systems for egovernance to help boost the country's global economic competitiveness. The research study sought to develop a Judicial Cour Information Management System (JCIMS) to digitize the process of filing a case and monitoring its status. The research methodology includes a study of the management of information systems in digitizing the process of filing a case and scheduling hearings. The JCIMS and the Electronic Court Record Keeping (ECRK) systems were established to accept new cases, add new users, and update case schedules. The researcher utilized the Technology Acceptance Model (TAM) to predict and explain the acceptance of the system. The results showed a substantial relationship between perceived usefulness (PU) and perceived ease of use (PEOU). PEOU also had an important direct influence on PU. Thus, in this study, criteria in the ISO 25010 software quality model was rated highly acceptable.

E-AccesstoAces: A Web-Based Customer Support System Driving Academy Using Chatbot Technology

2024-06-29T15:32:47+00:00

Customer service is becoming a crucial component of the majority of businesses. In fact, many businesses have customer service divisions with specialized representatives or agents to help and aid clients in resolving problems. Customer satisfaction and retention depend on prompt and accurate responses to requests. Driving schools providing lessons on driving takes a big part in developing a responsible driver. They must not only meet the demands of their customers, but they must also operate professionally and safely at all times. With so many things to keep track of, having a driving school support center where customers can go to get all of their detailed answers in one place is essential. The researchers developed a web-based customer support system using automation to perform a task elimination that supports, speeds up, and examines possible resolutions without engaging humans. It also helps more users, decreases service queues, and increases customer assistance. The subjects of this study were the members of the administrative management team, drivers, and instructors of Team Aces Driving Academy, and enrollees, with a total of 104 respondents. The implementation of the system at the Team Aces Driving Academy – Famy, Laguna Branch was successfully completed. Using a descriptive design, the study determined the average weighted mean and its ranking to interpret the extent of the system's acceptance based on quality criteria, perceived ease of use, perceived usefulness, attitude toward system adoption, behavioral intention to use, and user experience.

Beyond the Classroom: Exploring the Role of Hobbies in Mitigating Academic Burnout for BS Computer Science Students at Isabela State University-Echague Campus

2024-06-18T07:55:28+00:00

This research aimed to determine whether hobbies help students in pursuing a bachelor's degree in Computer Science to minimize academic burnout. For students who experience physical, mental, and emotional stress along with insufficient sleep and free time, academic burnout can be a significant problem. These factors can lead to a loss of motivation and focus, which can have detrimental effects on both academic performance and overall well-being. To prevent such negative
outcomes, students must prioritize self-care and adopt effective stress management strategies. The study involved 125 respondents who completed an online survey. The study measured specific burnout symptoms such as emotional exhaustion, depersonalization, and reduced personal accomplishment. It explored hobbies including enrichment, sports, creative, social, collecting, and outdoor activities. Likert scales were used to measure academic burnout symptoms,
experiences with hobbies, and the association between the two. The study's findings would contribute to the current literature on the effectiveness of hobbies in reducing academic burnout. It would also shed light on the benefits of engaging in hobbies and provide insight into how they can potentially eliminate academic burnout. Furthermore, the
results address the gap in knowledge regarding the relationship between hobbies and academic burnout among Bachelor of Science in Computer Science students. Overall, the study provides valuable information that can be used to develop effective interventions to manage academic burnout among students. Thus, the researchers recommended that students should pick hobbies that can help students avoid academic burnout, manage it, and recover from it.

Skin Classification Via RGB Values and Machine Learning Algorithms

2024-06-29T15:50:16+00:00

This research proposed a skin and non-skin classification method using R, G, and B color space and machine learning algorithms. The methodology created a dataset of skin and non-skin samples and used MATLAB's Classification Learner App with 25 different algorithms. The Weight KNN training model was identified as the most accurate and fastest, achieving 100% classification accuracy with 0.20881 seconds of time accuracy. This approach has potential applications in medical image analysis, computer vision, and facial recognition. The study suggests the Weight KNN training model is the most effective and accurate for skin and non-skin classification using R, G, and B color space and machine learning algorithms.

Integration of Process Monitoring in Procurement Management System for Bureau of Fire Protection CALABARZON

2024-06-29T16:00:24+00:00

Document tracking systems improve the efficiency of retrieving documents online at any time, moving documents in and out of the office, and tracking the organization’s processes developed as a tracking solution system. The study aimed to develop a process monitoring in the Procurement Management System in the Bureau of Fire Protection CALABARZON using a web platform. The developed system can monitor the process of every procurement made in the system by the users. Also, the head of the procuring entity and Bids and Award Committee of BFP CALABARZON can manage and track the entire procurement process requests using the procurement management system. The researchers used the Agile Model for the development of the proposed system and used descriptive and developmental research design. The researchers evaluated the system using user acceptability. Consequently, the developed system attained its objectives and goals of providing and developing a process monitoring in the Procurement Management System incorporated with descriptive analytics. The study is beneficial to the procurement management of BFP CALABARZON who struggle to track and analyze where the procurement process is stranded.