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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri JISI UMJ (Jurnal Integrasi Sistem Industri UMJ)
Zaen, Miftakhul
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Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Other

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PEMILIHAN PEMASOK MENGGUNAKAN METODE K-MEANS KLUSTERING BERBASIS PYTHON Zaen, Miftakhul; Boru Butar Butar, Maulida; Nasution, Syarifuddin; Mohamad Noor, Asep
JISI: Jurnal Integrasi Sistem Industri Vol. 12 No. 1 (2025): JISI UMJ
Publisher : Fakultas teknik Universitas Muhammadiyah Jakarta

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Abstract

Supplier selection is a decision-making process that is complex and carries a lot of risks. Therefore, in order to make decisions more precise, decision-making requires tools that are scientific, logical and structured. Currently, most supplier selection is done using manual calculations, so it requires accuracy in doing so. With current technological advances supplier selection can be implemented with artificial intelligence. Implementing artificial intelligence by selecting suppliers can reduce errors in manual calculations and hopefully get better suppliers. The purpose of this research is to implement artificial intelligence into supplier selection with the method used, namely K-means clustering with the criteria used are quality, price, and delivery time. The data used in this research is secondary data sourced from Kaggle so the weight of each criterion is unknown. The results of this study show that the best suppliers are supplier 19 in cluster 0, supplier 8 in cluster 1, and supplier 20 in cluster 3.
Product Development of Futsal Shoes Using the QFD Method (Survey of Futsal Shoe Consumers in The Tangerang District Area) Dwilaga, Armando Tirta; Zaen, Miftakhul
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 20, No 2 (2023): June 2023
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v20i2.21780

Abstract

Futsal shoe products are one of the products needed to support when playing futsal because they are useful for protecting all parts of the foot when playing futsal from hitting the ball or opposing players. This study aims to identify technical characteristics according to customer needs and desires and design product design concepts for futsal shoes. This research uses the Quality Function Deployment (QFD) method, as a result, to identify technical characteristics and customer needs and design product design concepts using tools in the form of Rhinoceros applications. The data collection technique is in the form of distributing questionnaires to 100 respondents with the target respondents being male or female, members of the futsal community, employment status (students, students, and workers), domiciled in the Tangerang Regency area. The results of identifying technical characteristics are futsal shoes with PU synthetic upper material, phylon midsole material, rubber outsole material, Ethyl Vinyl Acetate (EVA) insole material, vamp width dimensions of 9.6 cm, and features without shoelaces. The result of identifying technical characteristics that are following customer needs and desires from using the house of quality matrix format, where the priority level is the width dimension of 9.6 cm with a weight importance value of 180
Co-Authors Boru Butar Butar, Maulida Dwilaga, Armando Tirta Mohamad Noor, Asep Syarifuddin Nasution, Syarifuddin