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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Inotera Jurnal Informatika Universitas Pamulang Journal of Artificial Intelligence and Innovative Applications (JOAIIA) JAMAIKA: Jurnal Abdi Masyarakat Abdi Jurnal Publikasi Jurnal Ilmu Komputer (JIK) Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia APPA : Jurnal Pengabdian Kepada Masyarakat
Agus Heri Yunial
Pamulang University
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Journal : Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia

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Sistem Pakar Diagnosa Kerusakan Pada Vespa Matic Menggunakan Metode Naïve Bayes Berbasis Web (Studi kasus : PT. Dwi Pratama Mandiri) Faisal, Ahmad; Heri Yunial, Agus
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 6 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

The automotive industry in Indonesia is experiencing rapid growth in line with the increasing public need for transportation. Vespa, as a scooter motorcycle brand from Piaggio, an Italian company, contributes to Indonesia's automotive economy. PT Dwi Pratama Mandiri is an authorized dealer of Vespa Matic. Observations show that most consumers still do not understand the potential damage to their vehicles. Expert systems, a branch of artificial intelligence, can be a solution to increase consumer knowledge and speed up the process of identifying defects. The Naïve Bayes method, a probabilistic classification algorithm, has proven efficient in the analysis of complex problems. Previous research shows that this method has a high accuracy rate of up to 96%.. This research aims to help consumers detect and overcome problems with their vehicles, and can improve consumer understanding of damage to Vespa Matic.
Co-Authors A. Nurul Anwar A. Nurul Anwar Achmad Lutfi Fuadi Achmad Lutfi Fuadi Ahmad Fahmi Abdillah Ahmad Faisal anggi saputra Asep Saepudin Bagus Subekti Daffa Nur Ardhayaguna Ditto Saepoel Rachman Fadli Iman Fajar Nur Fikri Fauzi Ahmad Muda Hengky Agus Setiawan Joko Suwarno Joko Suwarno Khurotul Aini Muhamad Affan Afifi Muhammad Iskandar Muhammad Rizky Ardisyahputra Pajar Priana Rahmat Pangestu Ray Virana Rajessa Rian Setiawan Rizky Juni Arigayo Sunata Wilis Puspita Sari Willis Puspita Sari Wisnu Hermawan