Analisis Data Transaksi untuk Penempatan Produk Prioritas Oli Motor Menggunakan Algoritma Apriori

Gigih Prima Subakti(1), Yessica Nataliani(2*)

(1) Universitas Kristen Satya Wacana
(2) Universitas Kristen Satya Wacana
(*) Corresponding Author

Abstract


Data mining is a process of finding essential and unique information, as well as operational business management that requires knowledge to increase the effectiveness and efficiency of the company. CV. XYZ is a bicycle and motorcycle spare parts shop located in West Java since 1999 and has had a transaction management system since 2012. However, the system is only used for recording and archiving, which should be used more optimally to improve the quality of operational management. The management of the layout of goods is not well planned by CV. XYZ, which should be able to be analyzed with existing transaction data. Therefore, this study focuses on transaction analysis to determine the layout of goods using the a priori algorithm with a minimum support of 4% and a minimum confidence of 50%. The research produces 21 association rules that can be used as a priority product placement on the CV. XYZ with a matcging percentage of 57.1% for the minimum support and confidence that has been tested.

Article metrics

Abstract views : 285 | views : 40

Full Text:

PDF (Bahasa Indonesia)

References


W. Wahjono, “Peran Manajemen Operasional dalam Menunjang Keberlangsungan Kegiatan Perusahaan,” J. Ilm. Infokam, vol. 17, no. 2, pp. 114–120, 2021.

F. Sulthan Shaummil, M. Rizal, and R. Tahir, “Analisis Manajemen Operasional Perusahaan Multinasional,” J. Manaj., vol. 11, no. 2, pp. 135–143, 2021.

D. Sepianti, “Analisa Fungsi Manajemen Proses Dalam Pengelolaan Bisnis,” J. Pusdansi, vol. 2, no. 4, pp. 1–7, 2022.

A. K. Nasution, R. Oktaviandi, and E. Bu, “Penerapan Algoritma Apriori Untuk Mengetahui Pola Jenis Kejahatan Yang Sering Terjadi ( Studi Kasus : Polsek Percut Sei Tuan ),” in SENSASI, 2021, no. 1, pp. 117–120.

S. Nurajizah, “Analisa Transaksi Penjualan Obat menggunakan Algoritma Apriori,” INOVTEK Polbeng - Seri Inform., vol. 4, no. 1, pp. 35–44, 2019.

A. A. Firdaus, N. Iksan, D. N. Sadiah, L. Sagita, and D. Setiawan, “Penerapan Algoritma Apriori untuk Prediksi Kebutuhan Suku Cadang Mobil,” J. Sist. dan Teknol. Inf., vol. 9, no. 1, p. 13, 2021, doi: 10.26418/justin.v9i1.41151.

A. Junaidi, “Implementasi Algoritma Apriori dan FP-Growth Untuk Menentukan Persediaan Barang,” J. Sisfokom (Sistem Inf. dan Komputer), vol. 8, no. 1, pp. 61–67, 2019.

E. Elisa, “Market Basket Analysis Pada Mini Market Ayu Dengan Algoritma Apriori,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 2, no. 2, pp. 472–478, 2018.

D. Hand, H. Mannila, and P. Smyth, Principles of Data Mining Cambridge, vol. 2001. 2001.

J. P. Jiawei Han, Micheline Kamber, Data mining: Data mining concepts and techniques, III. 2012.

S. Wahyuni, Suherman, and L. P. Harahap, “Implementasi Data Mining dalam Memprediksi Stok Barang Menggunakan Algoritma Apriori,” J. Tek. DAN Inform., vol. 5, no. 2, pp. 67–71, 2018.

M. P. Tana, F. Marisa, and I. D. Wijaya, “Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Pada Toko Oase Menggunakan Algoritma Apriori,” J I M P - J. Inform. Merdeka Pasuruan, vol. 3, no. 2, pp. 17–22, 2018.




DOI: https://doi.org/10.35314/isi.v7i2.2684

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This Journal has been listed and indexed in :

Crossref logo Find in a library with WorldCat

Copyright of Jurnal Inovtek Polbeng - Seri Informatika (ISSN: 2527-9866)

Creative Commons License
ISI: Inovtek Polbeng Seri Informatikan is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Editorial Office :
Pusat Penelitian dan Pengabdian kepada Masyarakat
 Politeknik Negeri Bengkalis 
Jl. Bathin alam, Sungai Alam Bengkalis-Riau 28711 
E-mail: jurnalinformatika@polbeng.ac.id
www.polbeng.ac.id

Web Analytics
View My Stats