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All Journal JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Kurniawan Hamidi
Universitas Universal Batam
Computer Science & IT Decision Sciences, Operations Research & Management

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Sistem Pakar Apparatus Cura: Integrasi Forward-Backward Chaining dan Certainty Factor pada Kerusakan Sepeda Motor Raymand Tan; Gabriel Steven; Alvin Del Pero; Falentino Takasili; Kurniawan Hamidi
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.363

Abstract

Motorcycles represent the dominant mode of transportation in Indonesia, yet user comprehension of vehicle technical conditions remains inadequate. Limited access to competent mechanical expertise delays fault identification and increases the risk of accelerating damage. This study develops a desktop-based expert system named Apparatus Cura capable of automatically diagnosing engine failures in automatic and manual (bebek) motorcycle types. The system integrates three inference methods: Forward chaining for symptom-to-fault tracing, backward chaining for fault hypothesis verification, and Certainty factor (CF) for quantifying diagnostic confidence. The knowledge base was constructed from 25 symptoms and 26 fault types for automatic motorcycles, and 43 symptoms and 35 fault types for manual motorcycles, formulated in collaboration with experienced mechanics in the form of more than 60 IF-THEN rules. The user interface was developed using the CustomTkinter library in Python. Functional testing across 8 scenarios yielded a 100% success rate. Accuracy evaluation on 30 test cases produced a diagnostic correctness rate of 83.3%. The system successfully integrates all three inference methods within a unified platform, providing probability estimates that closely approximate assessments made by professional mechanics.
Website Quality Evaluation of Engineering Faculty Using IPA-WebQual 4.0: A Mixed-Methods Approach for User-Centered Redesign Aldiyanto Gunawan; Kurniawan Hamidi
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.366

Abstract

University faculty websites serve as the primary medium of academic communication, information dissemination, and institutional branding. Suboptimal website quality directly undermines user satisfaction and institutional credibility. This study evaluates the Faculty of Engineering website at Universitas Universal using the Importance-Performance Analysis (IPA) method integrated with the WebQual 4.0 framework, encompassing usability, information quality, and service interaction quality dimensions. A quantitative survey was conducted involving 30 purposively selected respondents (active students, lecturers, administrative staff, and alumni) who had accessed the website within the preceding six months. Instrument validity was confirmed through corrected item-total correlation (r > 0.361) and reliability via Cronbach's Alpha (α = 0.936 and 0.938 for performance and importance dimensions, respectively). IPA analysis positioned 14 attributes within a Cartesian quadrant matrix, revealing that four critical attributes fell in Quadrant I (high importance, low performance): internship opportunity information, job vacancy information for alumni, current engineering articles, and visual identity. The overall conformity level was 65%, indicating a significant performance-expectation gap. Based on these findings, three alternative website redesign concepts were developed using Odoo Website Builder, addressing the priority improvement areas. The proposed design incorporates modern UI principles (Poppins typography, card-based layouts, segmented content architecture) and new functional pages for career development. This study contributes a replicable IPA-WebQual evaluation framework applicable across higher education digital platforms.
Co-Authors Aldiyanto Gunawan Alvin Del Pero Falentino Takasili Gabriel Steven Raymand Tan