Sistem Manajemen Stok Dan Penjualan Menggunakan Metode Regresi Linier Untuk Prediksi Suku Cadang (Studi Kasus: Bengkel New Perdana Tulungagung)

Putri, Wariyanti Nugroho (2023) Sistem Manajemen Stok Dan Penjualan Menggunakan Metode Regresi Linier Untuk Prediksi Suku Cadang (Studi Kasus: Bengkel New Perdana Tulungagung). Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

New Perdana Tulungagung Workshop is a small and medium-sized enterprise (SME) that focuses on truck repair and spare parts sales. The workshop was founded in 2012 in the village of Batangsaren, Kauman district, Tulungagung. The workshop still uses manual processes in managing sales and monitoring spare parts stocks, which risks losing records and resulting in inefficiency in the sales process. In addition, the workshop has difficulty maintaining spare parts supplies to be available, without having to store too many spare parts in the warehouse. To overcome these problems, the New Perdana Tulungagung workshop needs a stock and sales management system. In this study, the linear regression method was used to predict future truck spare parts sales. The data used in this study were spare parts sales data from January to December 2022, which included 105 types of spare parts. The results of the sMAPE testing showed that the linear regression method can predict spare parts sales with an average error rate of 42.0129%, which means the forecast is quite accurate. This system will help in stock and transaction management, improve work efficiency, and estimate spare parts needs. The integration of customer WhatsApp contacts into the system will also make it easier for workshop owners to provide information about the costs needed to truck owners.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorSwari, Made Hanindia PramiNIDN0805028901madehanindia.fik@upnjatim.ac.id
Thesis advisorMumpuni, RetnoNIDN0016078703retnomumpuni.if@upnjatim.ac.id
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science > Departemen of Informatics
Depositing User: - Wariyanti Nugroho Putri -
Date Deposited: 21 Nov 2023 06:23
Last Modified: 21 Nov 2023 06:23
URI: http://repository.upnjatim.ac.id/id/eprint/18744

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