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APLIKASI CLUSTERING PENGEMBANGAN RESELLER ORDER BERDASARKAN KOTA Indra Maulana Yusup Kusumah; Sutisna Senjaya; Dedy Apriadi
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 10 No 1 (2021): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1217.902 KB) | DOI: 10.58761/jurtikstmikbandung.v10i1.131

Abstract

At the Tasshel Convection, resellers are people who sell and buy company products. The reseller sales order data in the tasshel convection is increasingly increasing, besides that this company also has a web-based sales system or order system from resellers. In its sales data, the company has resellers from various cities to sell its products, but the company still has difficulty in developing and increasing product sales. With this problem, it is necessary to create a system that can classify reseller orders by city, which is carried out at the Tasshel Bandung Convection so that this company wants to increase its sales by targeting which cities have the most potential and the opportunity to sell their products by adding resellers or new outlets as a result of many products reaching consumers and the company's sales are increasing and can compete with other companies. The purpose of making an application and analyzing reseller orders for the Tasshel Convection in Bandung City uses the K-Means method. With this application, clustering reseller sales by city in the Tasshel Convection can provide the benefit of the convenience of analyzing reseller order grouping at the Tasshel Convection in Bandung, determining and classifying reseller orders by city. Keywords : K-Means, Clustering, Data Mining, Data Order, Method Waterfall (Classic Life Cycle)
APLIKASI CLUSTERING PENGEMBANGAN RESELLER ORDERBERDASARKAN KOTA Indra Maulana Yusup Kusumah; Sutisna Senjaya; Dedy Apriyadi
Jurnal Teknologi Informasi dan Komunikasi Vol. 10 No. 1 (2021): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v10i1.131

Abstract

At Tasshel Convection, resellers are individuals who buy and sell company products. The data on reseller sales orders at Tasshel Convection is steadily increasing. Additionally, the company utilizes a web-based sales system for processing reseller orders. Despite having resellers from various cities to market its products, the company still faces challenges in developing and boosting product sales. To address this issue, a system needs to be created that can classify reseller orders by city. This initiative, carried out at Tasshel Bandung Convection, aims to enhance sales by targeting cities with the most potential and opportunities for product sales. The strategy includes adding resellers or new outlets to ensure products reach more consumers, thereby increasing sales and enabling the company to compete more effectively with others. The objective of developing an application and analyzing reseller orders for Tasshel Convection in Bandung City is to use the K-Means method. This application will facilitate clustering reseller sales by city, making it easier to analyze reseller order grouping, and to determine and classify reseller orders based on city.
Co-Authors Dedy Apriadi Dedy Apriyadi Indra Maulana Yusup Kusumah