Article Per Year (5 Year)
p-Index From 2021 - 2026
1.578
P-Index
This Author published in this journals
All Journal Seruni - Seminar Riset Unggulan Nasional Inoformatika dan Komputer Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Jurnal Qua Teknika Jurnal Daya Mas : Media Komunikasi dan Informasi Hasil Pengabdian dan Pemberdayaan Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Journal of Computer and Information Systems Ampera SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Ekonomi dan Teknik Informatika International Journal of Artificial Intelligence and Science
Candra Budi Susila
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal of Artificial Intelligence and Science

 1 
Web-Based Electric Bicycle Fault Diagnosis Using the Backward Chaining Method Nugroho, Satrio Wicaksono; Dwi Nor Amadi; Pradityo Utomo; Candra Budi Susila
International Journal of Artificial Intelligence and Science Vol. 2 No. 2 (2025): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/IJAIS.v2i2.35

Abstract

This study aims to develop a web-based expert system for diagnosing electric bicycle faults using the backward chaining method. It addresses the limitation of previous systems that did not support user input of fault hypotheses. The research stages include literature review, data collection (31 faults and 5 symptoms), implementation of web-based inference, and black box testing. The results demonstrate that the system successfully accommodates user-input hypotheses and related symptoms, then matches them with rules to generate diagnoses. Functional testing confirms all features operate as intended. The research novelty lies in: (1) the first comprehensive knowledge base for electric bicycles (31 faults), (2) an interactive web interface supporting hypothesis input, and (3) dynamic database storage for rule updates.
Selection of the Best Futsal Player at the Bhirawa Cup Event Using the Simple Multi Attribute Rating Technique Method Fatah, Arjulian; Utomo, Pradityo; Susila, Candra Budi
International Journal of Artificial Intelligence and Science Vol. 2 No. 2 (2025): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/IJAIS.v2i2.40

Abstract

The selection of the best futsal player is an important aspect of a tournament, as it can motivate athletes to continuously improve their performance. However, manual selection processes tend to be subjective and prone to bias, thus reducing the objectivity of the assessment results. This study aims to design and develop a web-based decision support system using the Simple Multi-Attribute Rating Technique (SMART) method to assist the organizing committee in objectively and standardizedly evaluating player performance at the Bhirawa Cup 2024 futsal event. The research method used is the Waterfall software engineering model, which consists of the stages of requirements analysis, system design, implementation, testing, and maintenance. The system evaluates player performance based on four main criteria: contribution to the team, number of fouls, attitude, and leadership, each of which is assigned a weight according to its level of importance. The result of this study is a web-based decision support system that can be used by the event committee to assess and determine the best player. The strength of this system lies in its ability to present structured data and minimize assessment subjectivity. A suggestion for future development is to make the system accessible online to increase its flexibility
Co-Authors Arif - Diana Rendrarini Erlina Idola Ganis Fatah, Arjulian Fatmawati, Laily Hendro Susilo Meifani, Nely Indra Muhammad Syifa'ul Aqhyar Nanang Junaedi Nor Amadi, Dwi Nugroho, Satrio Wicaksono Nur Rohmad Pradityo Utomo Ramadian Agus Triyono - Universitas Surakarta Rendrarini, Diana Sukadi Sukadi Sukadi Susilo, Hendro Tomi Tristono Tomi Tristono