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Analisis Perancangan Ulang Tata Letak Gudang Menggunakan Metode Dedicated Storage pada PT Bosowa Berlian Motor Buana, Arga; Vikaliana, Resista
Jurnal Civronlit Unbari Vol 10, No 1 (2025): April
Publisher : Universitas Batanghari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/civronlit.v10i1.149

Abstract

There are problems related to warehouse capacity not being used optimally at PT Bosowa Berlian Motor. This can affect the storage process carried out. Therefore, this research aims to minimize the total distance traveled and total travel time by warehouse employees in carrying out their duties. The data used in this research was obtained from data on incoming and outgoing goods over a 3-months period, namely from July 2023 to September 2023. The existing layout used by PT Bosowa Berlian Motor for storage activities within a period of 3 months selected 34 products that had a frequency biggest. The Dedicated Storage method in this research is used to determine the position of goods stored based on the frequency, distance and capacity of the warehouse used by PT Bosowa Berlian Motor. There are 2 basic classifications of goods stored in warehouses with a total distance traveled under existing conditions, namely 128580m and 56860m. Based on the results of data processing, it was found that the total distance traveled between the proposed layout and the existing layout for KTB products was 77% and for MMKSI products was 8%. Therefore, the proposed layout for PT Bosowa Berlian Motor is good to implement considering the significant increase in efficiency proportions.
Implementation of Association Rule Market Basket Analysis to Increase Sales Through Product Bundling Strategy at the Fashion Online Store Buana, Arga; Vikaliana, Resista
Jurnal Ilmiah Manajemen dan Bisnis Vol 10, No 2 (2024): Jurnal Ilmiah Manajemen dan Bisnis
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jimb.v10i2.27030

Abstract

Athaku Online Store is an fashion online store that sells baby clothes and children's t-shirts by offering free design of images and writing on the products. The increase in the number of online stores has caused competition between online stores to become tighter, so that online stores need to develop business strategies by paying attention to consumer behaviour (Customer Relationship Management) which can be used as a basis to increase sales through product bundling strategies. The goal to be achieved in this research is to get an overview of the associations between products which will be used as a basis for making product recommendations to increase sales at the Athaku Online Store using data mining, namely association rules using an a priori algorithm. By collecting transaction data by consumers starting from January 1 to 30 September 2022 with a total of 4,229 transactions, analysis of the transaction data was carried out using a minimum support value of 0.15 and a minimum confidence value of 0.5 so that the results were obtained, namely 3 product association rules, which then validated the recommendations. by distributing questionnaires to 30 consumers of the Athaku online store. The product association rules that have been validated can be used as a basis for determining product bundling strategies in the Athaku online store. From the research results, it is known that there is an opportunity to increase sales for three products, namely Jumpers, Bloomers, and Bibs.