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All Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Cepi Indra Grahana
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Other

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Sistem Pendukung Keputusan Pemilihan Supplier Terbaik Menggunakan Multi Factor Evaluation Process (MFEP): Penelitian Yungki Gunawan; Arif Budimansyah P.; Wawan Kusdiawan; Rolles Herwin; Jajang Mulyana; Ahmad Mubarok; Cepi Indra Grahana
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 3 No. 4 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 3 Nomor 4 (April 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v3i4.520

Abstract

Supplier selection is the most important thing for a company to find out the best supplier who will supply products to the company, especially at Toserba Fajar Karawang. The supplier selection process at Toserba Fajar Karawang is still not systematic enough so that the supplier selection process is not accurate. Therefore, a decision support system is needed in supplier selection which is part of the computer information system used by a company which will later process data into information to make a decision. The purpose of this study is expected to help in the goods order section in the process or determine the selection of the best supplier selection built using the Multifactor Evaluation Process (MFEP) method, this method was chosen because it can provide subjective and intuitive considerations in a decision so that these considerations are in the form of giving weight to multifactors that are considered important to the alternatives that have been selected. Based on the final result, namely a decision support system for selecting the best supplier where users can input and get the stored data, namely criteria data, sub-criteria data, supplier data, product data, selection data, and report data.
Implementasi Metode Backward Chaining untuk Mendiagnosa Penyakit pada Bayi Pasca Kelahiran Alvin Supriyan; Arif Budimansyah Purba; Wawan Kusdiawan; Cepi Indra Grahana; Rani Amalia
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.2838

Abstract

The critical period for the growth and development of infants can be referred to as a critical period. It is said that this critical period in infancy will be very detrimental to the environment around it and it is said that the future due to infancy is very short and cannot be repeated. Newborns are more susceptible to various diseases. Diseases in infants can be identified based on the symptoms that arise. This is caused by several factors including the lack of information about diseases in infants after birth that is known to the general public. Therefore, research is needed on diseases and symptoms that affect babies after birth. One alternative in order to find out the disease in the baby after birth can use an expert system. In building the system, the author uses the Backward Chaining method, uses the Waterfall system development method (SDLC) and the Object Oriented Approach (OOA). The result of this research is a web-based application that can later be accessed or used to make it easier for the public, especially parents of babies, to diagnose symptoms or diseases in babies after birth as early as possible.
Co-Authors Ahmad Mubarok Alvin Supriyan Arif Budimansyah P. Arif Budimansyah Purba JAJANG MULYANA Rani Amalia Rolles Herwin Wawan Kusdiawan Yungki Gunawan