PREDIKSI TINGKAT PEMBELIAN BARANG BERDASARKAN HASIL PENJUALAN BARANG PADA SUATU KOPERASI MENGGUNAKAN METODE ROUGH SET

MEIDINA, AVITA and Samsuryadi, Samsuryadi and Arsalan, Osvari (2022) PREDIKSI TINGKAT PEMBELIAN BARANG BERDASARKAN HASIL PENJUALAN BARANG PADA SUATU KOPERASI MENGGUNAKAN METODE ROUGH SET. Undergraduate thesis, Sriwijaya University.

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Abstract

Kopena Mart is a cooperative where the field of business conducts buying and selling goods. This activity is carried out by Kopena Mart every day so as to produce a large number of data on goods sold. The results of the sale of goods can be used by predicting the level of purchasing goods in the following month to minimize the risk of shortages or excess goods at Kopena Mart using the rough set prediction method. The rough set method prepares an effective algorithm to find hidden patterns or rules in the data. The data used is in the form of sales of 19 types of instant noodles products for 35 months from 2017 to 2019, totaling 665 data. Measurement accuracy is measured based on the suitability of the prediction results with the actual data. Based on the tests carried out, it was found that the suitability of the prediction results which were believed to be correct was 72.48%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Confusion Matrix, Koperasi, Prediksi, Rough Set
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Avita Meidina
Date Deposited:	25 Nov 2022 05:07
Last Modified:	25 Nov 2022 05:07
URI:	http://repository.unsri.ac.id/id/eprint/82687

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