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

Leveraging Defect Trend Analysis for Sustainable Printed Circuit Board and Assembly (PCBA) Quality Assurance: A Low-Cost Portable Smart Inspection Solution for Small-Scale Electronics Manufacturers

2025-12-01T07:18:01+00:00

This research addresses the challenges in quality assurance (QA) for low-volume Printed Circuit Board and Assembly (PCBA) production, where manual inspection often leads to inconsistencies, limited traceability, and delays. Analyzing defect trends from 2019 to 2024 across six suppliers, the study identified common issues such as missing components, misalignment, and solder defects. This defect analysis introduces the concept of developing a low-cost, portable, AI-driven PCBA QA inspection system that would utilize a high-resolution microscope, Python-based computer vision, and object detection tools like YOLO to provide an affordable, scalable, and customizable solution ideal for small-scale manufacturers, SMEs, and research environments. This conceptual system is intended to enhance inspection efficiency, accuracy, and traceability while promoting sustainable engineering practices. Future research would focus on developing and implementing this system, including AI-based defect classification and conducting pilot studies to validate its performance in real-world settings. This system has significant implications for SMEs in electronics manufacturing, providing an accessible, cost-effective solution to improve product quality and support the digital transformation of manufacturing operations.

Securing Autonomous Intelligent Automation Through Development, Security, and Operations Framework (DevSecOps) and Cloud-Native Serverless Architecture

2025-12-01T06:02:24+00:00

With rapidly evolving technology, implementing a secure and efficient way to develop an automation process has become a critical aspect for any organization’s success. With the current state of the technology, a traditional development methodology sometimes falls short in addressing the threats and rapidly changing business requirements. This research explored the implementation of Autonomous Intelligent Automation through the development, security, and operations framework and cloud-native serverless architecture. It aimed to improve the efficiency, accuracy, and scalability of an organization by streamlining the business processes that are time-consuming, repetitive, and voluminous, and leveraging and combining cutting-edge technologies and methodologies in software development. This research used one of the processes currently existing in Isabela State University-Main Campus as a pioneer process to implement Autonomous Intelligent Automation and validate its effectiveness in terms of efficiency, accuracy, and scalability. Autonomous Intelligent Automation is a way to eliminate human error in a process. By means of intelligently mimicking what the end user does to accomplish a task, it results in a quality service that is efficient, accurate, and scalable. Implementing DevSecOps is an approach to combine and integrate the Development (Dev), Security (Sec), and Operations (Ops) to impose security in all phases of development cycle.

Development of an Internet of Things (IoT)-Based Real-Time Public Transport Passenger Tracking System

2025-12-01T07:12:40+00:00

Public transportation systems play a crucial role in rural development, providing a wide range of benefits that contribute to the well-being of communities, the environment, and the economy. This paper presents the development and implementation of an Internet of Things (IoT)-based real-time public transport tracking and passenger monitoring system, a combination of hardware and mobile application for tracking public transport vehicle geolocation and availability of passenger availability. The design project was powered by Arduino Mega, ESP8266, Neo-6M GPS module, and infrared (IR) sensors connected to the Blynk IoT platform, utilizing a mobile app called “iRIDECommuTech” for users’ operation. Geolocation includes latitude, longitude, speed of the vehicle, and the current available passenger capacity. The system was tested using a public transport 14 kilometers point–to–point travel on a national highway. GPS transmits reliable data in 15-18 seconds, while the microprocessor POST initializes in 10-15 seconds, respectively. Result of the users’ survey was generally acceptable for performance, usability, and reliability, with a mean average of 4.20, while functionality is the highest among the system requirement evaluation, with 4.53 as highly acceptable.

Sentiment Analysis and Word Cloud of Teachers’ Evaluations Using R Programming Language

2025-12-01T05:26:18+00:00

Faculty evaluation is essential for understanding students' perceptions and feedback?to improve the employment of teaching strategies. With the use of vast-scale textual?feedback, in an efficient manner, sentiment analysis was used as a tool for analyzing textual semantics in a structured way that could help facilitate understanding of what students think. Using the datasets of students' feedback from faculty evaluation from A.Y. 2019-2020 to A.Y. 2024-2025 for sentiment analysis using R programming, this?study utilized Natural Language Processing (NLP). Data preprocessing, word cloud creation, and sentiment classification using code were employed to systematically extract prevalent themes, classify sentiments, and examine faculty performance. The approach comprises several processes, such as data preprocessing, word cloud generation, and?sentiment classification, which are used to classify sentiments that follow an organized topic extraction and present useful insights about teacher performance. In fact, according to the data, students are overwhelmingly positive,?with a deep appreciation for teachers who are helpful, efficient, and supportive in their teaching style and approach. The result also reflects how much students value the hard work that their?teachers do, such as the top positive word is kind (mabait). Though they are less common, unfavorable opinions do draw attention to the areas in which students struggle, especially when it comes to their academic performance. While there are terminologies that reflect occasional problems in the classroom, where the top negative words are limit and hardship (hirap), it was noted that certain students struggle with their tasks. The results highlight how crucial it is to have a welcoming and interesting learning environment. Teachers may reinforce their strengths and highlight areas for growth by using sentiment analysis to get insightful information about student responses. Finally, by ensuring a well-rounded, efficient, and student-centered teaching approach for students pursuing a Bachelor of Science in Computer Science, this study offers a data-driven method of improving the learning experience.

Fingerprint Door Unlocking and Light Control System with Short Message Service (SMS) Notification Capability

2025-12-01T07:21:52+00:00

Security has been playing a key role in many places, such as offices, institutions, libraries, and laboratories, to protect confidential data and prevent unauthorized access. At Isabela State University, traditional padlocks are still used to secure rooms, a method that lacks access logs and automation. To ensure data confidentiality and prevent unauthorized access, security technologies such as automated access, Short Message Service (SMS) alert, and light control are needed. The main objective of the study was to develop a security lock system and switching automation of devices that have features of storing fingerprints, operating the door lock, activating lights, and sending Short Message Service (SMS) notifications to the administrator based on stored fingerprints. The developmental research method, consisting of hardware and software development, was utilized in the study. Flowchart, block diagram, and wiring diagram were used to document the requirements, analysis, and design. In addition, the respondents’ perception of the system’s performance was gathered using a survey questionnaire, and total enumeration was employed in selecting the respondents. As a result, the device was perceived to be highly functional, usable, and reliable. Future researchers may integrate a database to store access logs and to send notifications not only to the building in charge but also to other heads of the institution. The system may also be expanded to facial recognition or two-factor authentication. These enhancements aim to make the system more reliable, scalable, and efficient for use in different environments.

Illuminating Sustainability: Innovative Approaches to Lighting Efficiency and Energy Conservation in Campus Environments

2026-01-02T02:17:38+00:00

The increasing demand for energy in educational institutions, particularly for heating, ventilation, and air conditioning (HVAC) systems and lighting, presents significant challenges for sustainability and cost management. Quirino State University–Cabarroguis Campus serves as a case study to assess the efficiency of its lighting systems and the potential for energy conservation. The study aimed to evaluate the current lighting infrastructure, identify areas for improvement, and quantify the potential for energy savings. Using structured surveys, light measurement tools, and energy consumption analytics, the research investigated the existing lighting conditions in academic buildings and offices across the campus. The results indicate that while some areas meet or exceed recommended illuminance levels, others, such as the Campus Executive Officer’s office, fall significantly short. The study suggests that transitioning from fluorescent lamps to energy-efficient alternatives, such as LEDs, along with optimizing the use of natural light, can substantially reduce energy consumption. The paper calculates potential energy savings of approximately 1,252.14 kWh per month, translating to an estimated annual savings of 12,034.32 pesos. The research offers actionable insights for enhancing lighting efficiency at Quirino State University and contributes to the broader discussion on sustainable practices in educational settings. These findings provide an evidence-based basis for campus energy policies and investment decisions on LED retrofits, daylighting strategies, and future integration of smart and renewable energy systems in public universities.

From Manual to Digital: Investigating Reporting Barriers and Exploring Pathways to a Smart Digital Platform for Urban Infrastructure and Services

2025-09-26T12:39:18+00:00

This study investigated the current reporting mechanisms for urban infrastructure and services in a municipality in the Philippines, while identifying barriers that hinder effective citizen engagement and exploring pathways toward digital transformation. With global urbanization projected to reach 70% by 2050, municipalities are under increasing pressure to develop efficient and sustainable infrastructure management systems. Using a descriptive research design and quantitative methods, the study surveyed 148 respondents across four selected barangays to assess existing reporting practices, their effectiveness, challenges encountered, levels of access and awareness, and community readiness for digital transition. Findings revealed a fragmented manual reporting system lacking centralized tracking mechanisms, which limits local government capacity to make data-driven decisions and promptly address infrastructure issues. The research defines the key barriers, including technological limitations, governance challenges, and gaps in digital literacy that impede the adoption of smart solutions. By understanding these gaps, such as limited accessibility, lack of transparency, and inefficient feedback mechanisms, the study provides a foundation for designing a user-centric digital platform tailored to the citizens’ needs. This research contributes to ongoing smart city development efforts in the Philippines, where 70% of urban LGUs are preparing for smart city initiatives yet face significant implementation challenges, offering insights for other municipalities embarking on similar digital transformation journeys.