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p-Index From 2021 - 2026
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All Journal JOKI: Journal of Computing and Informatics CODEX: Journal of Software Engineering
Arif Faizin
Universitas Yudharta
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Web-Based Decision Support System for Internship Placement Recommendations Arif Faizin; Duabari Silas Aziaka
JOKI: Jurnal Komputasi dan Informatika Vol 3 No 1 (2026): June 2026
Publisher : CV. Laskar Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65678/joki.v3i1.375

Abstract

Internship placement is a critical component of vocational education aimed at improving students’ competencies and readiness for professional environments. However, internship placement processes in many institutions are still conducted manually, resulting in mismatches between student competencies and institutional requirements, reduced placement accuracy, and inefficient administrative procedures. This study proposes a web-based decision support system to improve the accuracy, objectivity, and efficiency of internship placement. The system integrates structured student data, institutional requirements, and evaluation criteria into an automated matching mechanism to generate placement recommendations. The development process includes data collection, system design, implementation, and testing to ensure functionality and usability. The system was evaluated using functional testing and user acceptance evaluation involving administrators, teachers, and students. The results demonstrate that the system operates effectively in managing data, calculating compatibility scores, and generating accurate placement recommendations. User evaluation indicates that the system improves administrative efficiency, transparency, and placement accuracy compared with manual methods. The proposed system provides a practical solution for managing internship placement and supports data-driven decision-making in educational institutions. The findings also indicate the potential for further development through integration with predictive analytics and broader institutional deployment to support digital transformation in educational management.
A MODERN WEB-BASED SERVICE PLATFORM FOR HANDYMAN BOOKING USING REACT JS Arif Faizin; Dian Prasti Meintarina
CODEX: Journal of Software Engineering Vol 1, No 1 (2026): March 2026
Publisher : Nurul Jadid University, Paiton Probolinggo, East Java

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/codex.v1i01.14455

Abstract

This study aims to develop a modern web-based platform that facilitates handyman service booking using React JS. The lack of integrated digital systems for handyman services often causes difficulties for customers in finding reliable workers and for service providers in promoting their services effectively. This research focuses on designing and implementing a web-based application that connects customers and handyman service providers through an interactive and efficient platform. The research method used includes problem identification, data collection through observation and literature study, system requirement analysis, system design, implementation using React JS, and functional testing. The developed system provides features such as user registration, service listing, handyman profiles, online booking, and administrative data management. The results of system implementation and testing indicate that all features function properly and support efficient service booking and information management. The platform improves accessibility, simplifies the booking process, and enhances communication between customers and service providers. The study concludes that the use of React JS in developing a web-based handyman booking platform can effectively support digital service transformation and improve service efficiency.
Co-Authors Dian Prasti Meintarina Duabari Silas Aziaka