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

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Penilaian

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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%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207004670	T82687	T826872022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T826872022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xv, 102 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.360 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Program aplikasi
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

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