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All Journal Faktor Exacta Jurnal Nasional Komputasi dan Teknologi Informasi STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Airlangga Journal of Innovation Management Journal of Practical Computer Science (JPCS) JI-Tech Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Muhamad Irsan
Universitas Indraprasta PGRI
Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Neuroscience Social Sciences Transportation Other

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Sistem Pendukung Keputusan Rekrutmen Karyawan Menggunakan Metode WP PT. Lucky Indah Keramik Sutan Mohammad Arif; Muhamad Irsan
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 2 (2026): MARET 2026
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/43rt7f24

Abstract

In managing a company, one of the determining factors for a company's success is qualified employees. Selection of human resources is essential to prevent possible adverse impacts on organizational performance. Mistakes in the recruitment process are at risk of harming and threatening business continuity. To get good human resources, an employee selection process is carried out according to the criteria needed from each division. In order to make the employee recruitment process faster and to minimize subjective judgments, we need a system that can produce decisions objectively and quickly. SPK application with the right method can overcome problems in employee recruitment. In this study the authors used the Weighted Product method whereby the selection of criteria and the urgency of the appropriate weight criteria for each division can help make the right decision at PT. Lucky Beautiful Ceramics
Sistem Pakar Pendeteksi Kerusakan Sepeda Motor Matik Injeksi Menggunakan Metode Forward Chaining Galih Mustopa; Muhamad Irsan; Muhammad Soleh Ritonga
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 01 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i01.819

Abstract

Currently, there is no expert system application specifically designed to diagnose damage to motorcycle engines, especially automatic injection types. Along with the rapid development of information technology, the implementation of computing technology has become crucial in overcoming various technical problems, including those in vehicle engines. The process of detecting damage to injection motorcycles requires in-depth knowledge and experience that is often not possessed by all mechanics, especially lay users. Therefore, the development of an expert system with the Forward Chaining method is a highly urgent solution. This system is expected to be able to detect damage to automatic injection motorcycles precisely, minimize repair errors (human error), and increase diagnostic accuracy.
Co-Authors Bambang Kiswanto Fiqih Ismawan Galih Mustopa Muhammad Anjar Muhammad Soleh Ritonga Rahmatiah Rahmatiah RETNO NENGSIH Sandy Nur Fajar Sulaiman, Han Sutan Mohammad Arif