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All Journal TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Fauzan, M. Arif
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Diagnosa Kerusakan Mesin Mobil Pada Bengkel Mobil Menggunakan Metode Certainty Factor Fauzan, M. Arif
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp53-60

Abstract

Manual diagnosis of car engine damage in workshops often encounters obstacles, such as limited mechanic experience, lack of supporting tools, and low accuracy in identifying the root cause of the damage. This research aims to develop an expert system based on the Certainty Factor method to diagnose car engine problems. The method is used to measure the confidence level of symptoms based on input from mechanics and commonly found damage data. The study was conducted through in-depth interviews with workshop personnel to identify symptoms, types of damage, and commonly used diagnostic methods. The results show that the Certainty Factor approach can help provide more accurate and efficient diagnostic recommendations. This system is expected to improve the speed and reliability of the vehicle repair process.
Penentuan Tingkat Kerusakan Mesin Mobil pada Bengkel Afuk Service Menggunakan Metode Weighted Product Fauzan, M. Arif
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Determining the priority level of car engine damage is an essential aspect in improving workshop service efficiency. AFUK Service Workshop often encounters difficulties in deciding which type of engine damage should be repaired first, as each damage type has different frequencies, severity levels, repair durations, and costs. This study aims to determine the priority level of car engine damage using the Weighted Product (WP) method. The four criteria used include damage frequency, severity level, repair duration, and repair cost, with respective weights of 0.5, 0.2, 0.2, and 0.1. The research data were obtained through direct interviews with mechanics at the AFUK Service Workshop. Based on the analysis using the WP method, the results produced an ordered priority of engine damage types that represent the most dominant issues to be addressed first. The implementation of the Weighted Product method helps the workshop determine repair priorities objectively and efficiently, thereby supporting better decision-making and improving service quality.
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