Open AccessDecision-making using fuzzy TOPSIS for selecting beginner UMKM that receive business funding
Author(s) -
N L Negari,
Abduh Riski,
Agustina Pradjaningsih,
Ahmad Kamsyakawuni
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2157/1/012021
Subject(s) - topsis , ranking (information retrieval) , computer science , government (linguistics) , fuzzy logic , business , multiple criteria decision analysis , operations research , mathematics , information retrieval , artificial intelligence , linguistics , philosophy
“Usaha Kecil Mikro dan Menengah” (UMKM) is a productive business unit of individuals or business entities in each economic sector. Currently, many UMKMs face difficulty in developing their business due to a lack of working capital. Therefore, the government provides business funding for the UMKM through “Dinas Koperasi dan UMKM” (Diskopum). Diskopum has various business funding; one of them is business funding for a beginner UMKM. The beginner UMKM that can get the business funding must complete the requirements that Diskopum requested. Among the requirements requested, there are several fuzzy criteria. This research solves the problem of determining the business funding for the beginner UMKM using the fuzzy TOPSIS method. The method was chosen because the output is in the form of ranking. Since the data used in this study is the submission data from 2019, the data already has the actual results. There are several differences between the actual ranking and the result using the fuzzy TOPSIS method, but the difference is insignificant. That result proved that the fuzzy TOPSIS method could determine the ranking of the business capital fund as an alternative method.