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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Informatika Universitas Pamulang JURNAL PETIK Jurnal Teknologi Sistem Informasi dan Aplikasi Journal on Education Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Teknologi Sistem Informasi KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Masyarakat Madani Indonesia OKTAL : Jurnal Ilmu Komputer dan Sains Jurnal ilmiah teknologi informasi Asia
Junianto, Mochamad Bagoes Satria
Universitas Terbuka
Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Public Health Social Sciences

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Analysis and Design of the Web Base Guesthouse Reservation Information System at Universitas Terbuka Using The Prototype Method Kusyadi, Irpan; Junianto, Mochamad Bagoes Satria; Basri, Hasan
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 17, No 1 (2025): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v17i1.32380

Abstract

Efficient guesthouse reservation management is crucial to supporting the accommodation services provided by Universitas Terbuka. Currently, the existing system faces limitations in data management and time efficiency, particularly in the reservation, recording, and reporting processes. This study aims to analyze and design a web-based guesthouse reservation information system that is expected to facilitate the reservation process more effectively and transparently. The design approach used is the prototype method, which allows system development based on early user feedback. The research begins with identifying requirements through the stages of communication, planning, modeling, prototyping, and feedback collection. The results of this analysis are then used as the basis for designing the system model and the initial user interface (UI/UX). The system prototype is then developed and iteratively evaluated by involving potential users, including guesthouse managers and prospective guests, to ensure that the final design meets user needs
Comparison of the SAW (Simple Additive Weighting), AHP (Analytic Hierarchy Process) and Wieghted Product (WP) Methods in Catering Vendor Selection Sufandi, Unggul Utan; Putri, Mayang Anglingsari; Satria Junianto, Mochamad Bagoes; Minrohayati, Minrohayati
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 17, No 1 (2025): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v17i1.31854

Abstract

This study aims to develop a Decision Support System (DSS) for selecting the most suitable catering vendor for the UT Business Center by employing three decision-making methods: Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP), and Weighted Product (WP), alongside expert evaluation. Selecting an appropriate catering vendor is crucial to supporting university operations and events; therefore, the decision-making process must be based on objective and efficient criteria. Given the differences in the working principles of these three methods, it is essential to conduct a comparative analysis between AHP, SAW, and WP to determine the most suitable approach for catering vendor selection at the UT Business Center. The results of the study indicate varying levels of accuracy depending on the weighting scenario: Scenario 1 (Uniform Criterion Weights): Accuracy levels were AHP (83.33%), SAW (100%), and WP (100%). Scenario 2 (Expert-Determined Criterion Weights): Accuracy levels were AHP (58.83%), SAW (66.67%), and WP (66.67%).
Evaluating Website Performance Using EdgeOne as an Automated Web Assessment Tool Putri, Mayang Anglingsari; Aprijani, Dwi Astuti; Trihapningsari, Denisha; Putri Martinasari, Made Diyah; Junianto, Mochamad Bagoes Satria
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 18, No 1 (2026): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v18i1.37752

Abstract

A university website functions not only as an information portal but also as a reflection of institutional credibility and academic reputation. Therefore, maintaining website quality—particularly web performance—is essential and must be evaluated continuously. The website of the Information Systems Study Program at Universitas Terbuka was selected as the focus of this study due to its role in delivering academic information and supporting communication with stakeholders. This research evaluates the website’s web performance using EdgeOne, an automated assessment tool that measures key performance indicators such as Time to First Byte (TTFB), First Contentful Paint (FCP), Largest Contentful Paint (LCP), Speed Index, Total Blocking Time (TBT), and Page Load Time. A descriptive quantitative approach is applied to interpret the performance metrics and identify areas requiring optimization. The results show that although the website maintains stable structural functionality, several performance indicators—particularly loading speed—remain below the recommended threshold for modern web standards. These findings highlight the importance of continuous web performance monitoring and technical optimization to improve user experience and ensure the reliability of institutional digital platforms.
Co-Authors Abdoel Kadir Zaelani Agung Setia Budi Ali Djamhuri Aprijani, Dwi Astuti Derita Qurbani Entis Sutrisna Fajar Agung Nugroho Hasan Basri Hasan Basri Hendri Ardiansyah HENDRI ARDIANSYAH Irpan Kusyadi Mayang Anglingsari Putri, Mayang Anglingsari Minrohayati . Mochamad Iqsal Alfiansyah Monika Juwita Nardiono Nardiono Nurdiana, Dian Oky Gustian Putri Martinasari, Made Diyah Resti Amalia Sartika Lina Mulani Syaeful Machfud Teti Desyani Trihapningsari, Denisha Unggul Utan Sufandi