ANALISIS POLA PENJUALAN DENGAN MENGGUNAKAN ALGORITMA APRIORI PADA KOPERASI KARYAWAN YAYASAN ANAKKU

  • Arfianto Darmawan (1*) Mahasiswa
  • Titin Kristiana (2) Sistem Informasi STMIK Nusa Mandiri

  • (*) Corresponding Author
Keywords: Koperasi Karyawan Yayasan Anakku, Transaksi Penjualan Perlengkapan Sekolah, Data mining, Algoritma Apriori

Abstract

The Anakku Foundation Cooperative is a multi-business cooperative consisting of shop businesses, savings and loans, and student shuttle services. Every sale of stuff services will be inputted data directly to each business unit. The Anakku Foundation Cooperative still has problems, including store transactions that cannot yet answer what items are often sold, when stock items are still difficult to determine the items that are still available or almost running out. Data mining techniques have been mostly used to overcome existing problems, one of which is the application of the Apriori algorithm to obtain information about the associations between products from a transaction database. Transaction data on school equipment sales at Cooperative Employees of Anakku Foundation can be reprocessed using Data mining applications so as to produce strong association rules between itemset sales of school supplies so that they can provide recommendations for item alignment and simplify the arrangement or strong item placement related to interdependence. The results are found that the highest value of support and confidence is if buying MUSLIM L1.5P1, so it would buy AL-IZHAR II LOGO with a value of 14.5% support and 79.5% confidence

Downloads

Download data is not yet available.

References

Aediyansyah, A. (2018). PERANCANGAN SISTEM INFORMASI PENJUALAN DAUR ULANG BOTOL BEKAS (PET) BERBASIS WEB. Jurnal Riset Informatika, 1(1), 11–16. Retrieved from http://ejournal.kresnamediapublisher.com/index.php/jri/article/view/5

Lisnawanty, L., & Kurniawan, B. (2019). SISTEM INFORMASI AKUNTANSI PENERIMAAN DAN PENGELUARAN KAS BERBASIS WEB (STUDI KASUS: PT. SINAR KAPUAS CEMERLANG). Jurnal Riset Informatika, 1(4), 187–196. https://doi.org/10.34288/jri.v1i4.101

Nere, M., & Buani, D. C. P. (2018). PENERAPAN METODE WATERFALL PADA SISTEM INFORMASI JASA LAUNDRY (SIJALY) JENSCHAX LAUNDY BEKASI. Jurnal Techno Nusa Mandiri, 15(2), 69–76. https://doi.org/10.33480/TECHNO.V15I2.14

Oktaviani, A., TM Napitupul, G., Sarkawi, D., & Yulianti, I. (2019). PENERAPAN DATA MINING TERHADAP PENJUALAN PIPA PADA CV. GASKINDO SENTOSA MENGGUNAKAN METODE ALGORITMA APRIORI. Jurnal Riset Informatika, 1(4), 167–172. https://doi.org/10.34288/jri.v1i4.96

Sikumbang, E. D. (2018). Penerapan Data Mining Penjualan Sepatu Menggunakan Metode Algoritma Apriori. Jurnal Teknik Komputer, 4(1), 156–161. https://doi.org/10.31294/jtk.v4i1.2560

Susilo, A. A. T. (2018). Penerapan Algoritma Apriori pada Pengolahan Data Transaksi Penjualan di Minimarket Priyo Kota Lubuklinggau. JTKSI, 1(3), 39–46.

Wijayanti, I., Nur, D. I., & B, G. S. (2016). ANALISIS NILAI PERUSAHAAN PADA SEKTOR PERTAMBANGAN BATUBARA DI BURSA EFEK INDONESIA. Ekuilibrium : Jurnal Ilmiah Bidang Ilmu Ekonomi, 11(2), 107. https://doi.org/10.24269/ekuilibrium.v11i2.211

Published
2019-12-28
How to Cite
Darmawan, A., & Kristiana, T. (2019). ANALISIS POLA PENJUALAN DENGAN MENGGUNAKAN ALGORITMA APRIORI PADA KOPERASI KARYAWAN YAYASAN ANAKKU. Jurnal Riset Informatika, 2(1), 31-36. https://doi.org/10.34288/jri.v2i1.68
Article Metrics

Abstract viewed = 98 times
PDF downloaded = 89 times