PENGKLASTERAN INDUSTRI KECIL MENENGAH (IKM) DI KABUPATEN MALANG DENGAN MENGGUNAKAN METODE K-MEANS CLUSTERING

SALENDU, WESHLEY DANIEL VALENTINO (2020) PENGKLASTERAN INDUSTRI KECIL MENENGAH (IKM) DI KABUPATEN MALANG DENGAN MENGGUNAKAN METODE K-MEANS CLUSTERING. Masters thesis, UNIVERSITAS MA CHUNG.

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Abstract

The absence of a database containing existing IKM groups as well as containing information on IKM makes it difficult for the government to create a development program for IKM. In addition, the government is also difficult to provide assistance for the sustainability of IKM. However, not all IKMs in Malang District have experienced rapid growth. Many IKM do not develop because they are not visible. Because there are so many IKMs scattered in Malang District, data
collection becomes difficult. Therefore, an aspect is needed to classify IKM and create a clustering system for IKM in Malang District. It is necessary to carry out analysis and identification to determine the criteria or aspects that will be used to group SMIs in Malang District using the K-Means Clustering method.The research begins by identifying the problems found from the results of conducting a Focus Group Discussion in the Community IKM Center Malang
District. Furthermore, data collection is carried out on IKM owners using the google form instrument which contains data regarding the amount of investment, average income, product variation, and length of operation of each IKM. Before data
processing is carried out, it is necessary to select, transform and clean data. The final selected data will then be processed for clustering each IKM using the K�Means Clustering method.There are five classification aspects that will be used, namely the amount of investment, average income, production capacity, product variation and length of
operation of the business. Based on the established clusters, three clusters were obtained. Cluster 1 contains 13 IKM, Cluster 2 contains 7 IKM and Cluster 3 contains 172 IKM.Keywords : K-Means, IKM, aspect instrument, clustering

Item Type: Thesis (Masters)
Additional Information: TUGAS AKHIR
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknologi dan Desain > S1 Teknik Industri
Depositing User: Surya
Date Deposited: 16 Dec 2024 07:58
Last Modified: 16 Dec 2024 07:58
URI: http://repository.machung.ac.id/id/eprint/601

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