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Jamaluddin
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INDONESIA
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi
Published by Universitas Methodist Indonesia
ISSN : 25988565     EISSN : 26204339     DOI : 10.46880
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
Sistem Informasi Sistem Informasi Manajemen Sistem Informasi Akuntansi Manajemen Basis Data Pengembangan Aplikasi Web dan Mobile Sistem Pendukung Keputusan Desain Grafis dan Multimedia Audit Sistem Informasi Topik-topik lain yang Relevan dengan bidang ilmu Manajemen Informatika Topik-topik lain yang Relevan dengan bidang ilmu Kompuerisasi Akuntansi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 372 Documents
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Pengembangan Intelligent Web-Based System untuk Diagnosa Kerusakan Sepeda Motor Listrik Menggunakan Naive Bayes Fahrozi, Wirhan; Linda Wahyuni; Abdul Meizar
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp151-160

Abstract

The rapid growth in the use of electric motorcycles has increased the need for a damage diagnosis system that is fast, accurate, and easily accessible. The process of identifying faults, which still relies on manual inspection, often requires considerable time and depends heavily on the expertise of technicians. This study aims to develop a web-based intelligent system capable of automatically diagnosing electric motorcycle faults using the Naïve Bayes method. This method is chosen due to its ability to perform probabilistic classification with good accuracy, even when dealing with limited data. The developed system utilizes symptom data and types of faults as the basis for probability calculations to determine the most likely damage. The system development process includes data collection, model design, algorithm implementation, and system testing. The testing results indicate that the system is able to provide fast and consistent diagnostic recommendations based on the symptoms input by users. With the implementation of this system, it is expected to assist both users and technicians in conducting initial identification of electric motorcycle faults more efficiently, thereby accelerating the repair process and reducing the potential for diagnostic errors.
Perancangan Aplikasi Mobile untuk Rekomendasi Kuliner Lokal Harahap, Efrans Michael; Jamaluddin, Jamaluddin; Eva Julia Gunawati Harianja
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp161-167

Abstract

The rapid advancement of information technology has shifted the paradigm of tourism and culinary exploration towards mobile platforms. However, local culinary searches in Medan City are currently still conventional and random. Scattered culinary information across various social media without a comprehensive summary often confuses customers and complicates the promotion of micro-culinary businesses (UMKM) in the digital era. Existing commercial platforms often burden local sellers with high platform taxes. This research aims to design and implement an Android-Based Mobile Application for Local Culinary Recommendations as an effective solution to these problems. This application is built natively using the Java programming language for the Android client side, integrated with a PHP Application Programming Interface (API) and MySQL relational database. The system design involves a Client-Server architecture and includes three distinct access rights: User, Culinary Admin, and Super Admin. Implemented features include dining place search, interactive reviews, ratings, popularity levels based on view counts, and Google Maps API integration for precise culinary navigation routes. The result of this research is a self-managed mobile application that accelerates navigation access for users while assisting business owners in managing their stalls independently, objectively, and expanding their promotional reach without internal transaction fees.

Page 38 of 38 | Total Record : 372

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