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All Journal Jurnal Teknologi Komputer dan Sistem Informasi JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Fiqih Satria
Prodi Sistem Informasi, STMIK Pringsewu
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Model Pengambilan Keputusan Calon Penerima Bantuan Usaha Mikro Bank Lampung Dengan Metode Weighted Product Di Pringsewu Muhammad Junaidi; Fiqih Satria; Garaika Garaika
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 3, No 1 (2020): JTKSI
Publisher : JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.853 KB)

Abstract

Weighted Product is one of the methods used in solving the problem of FADM (Fuzzy Multi Atribute Decision Making). Weighted Product requires a normalization process because it multiplies the assessment results of each attribute, the multiplication results have not meaningful if not yet compared with the standard value. The weights for attributes serve as positive ranks in the multiplication process, while the cost weight serves as a negative rank. The steps taken in the process of Weighted Product method is by using multiplication for each criteria match rating and rating the each criterion with the weight of the criteria. This method is used to find the best alternative from so many alternatives with the best weights. From the completion of this thesis, the authors conducted a study in how to select candidates for micro business assistance bank Lampung
Model Pengambilan Keputusan Calon Penerima Bantuan Usaha Mikro Bank Lampung Dengan Metode Weighted Product Di Pringsewu Muhammad Junaidi; Fiqih Satria; Garaika Garaika
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 3, No 1 (2020): JTKSI
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v3i1.796

Abstract

Weighted Product is one of the methods used in solving the problem of FADM (Fuzzy Multi Atribute Decision Making). Weighted Product requires a normalization process because it multiplies the assessment results of each attribute, the multiplication results have not meaningful if not yet compared with the standard value. The weights for attributes serve as positive ranks in the multiplication process, while the cost weight serves as a negative rank. The steps taken in the process of Weighted Product method is by using multiplication for each criteria match rating and rating the each criterion with the weight of the criteria. This method is used to find the best alternative from so many alternatives with the best weights. From the completion of this thesis, the authors conducted a study in how to select candidates for micro business assistance bank Lampung
Co-Authors Garaika Garaika Garaika Muhammad Junaidi