Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Bulletin of Multi-Disciplinary Science and Applied Technology
Asma Ul Husna
STMIK Kaputama, Binjai
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Bulletin of Multi-Disciplinary Science and Applied Technology

 1 
Data Mining Korelasi Penjualan Suku Cadang Sepeda Motor Menggunakan Metode Algoritma Apriori Asma Ul Husna
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

By utilizing customer data that has been stored in a database, management can find out how the current sales system is less efficient, therefore a system is needed to process information data more quickly and precisely in increasing sales of motorbike spare parts by using the Data Mining application. The Apriori Algorithm method works by searching and finding patterns of association between the products being marketed, so that later it can help the company in improving the associated items. And with sales transaction data, companies can know better how they should increase spare parts stock in the company. From the results of testing sales of motorbike spare parts with a total of 219 data, the results of the Apriori Algorithm calculations are: A3 (N-Max) has 23 items, M2 (Yamaha) has 35 items, S1 (Brake Pads) has 15 items.
Co-Authors