ANALYSIS OF SHOE ORDERING PATTERN AT PT. PRATAMA ABADI INDUSTRI USING THE APRIORI ALGORITHM

  • Retno Wati (1*) Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri
  • Imron Imron (2) Universitas Bina Sarana Informatika
  • Albert Riyandi (3) Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri

  • (*) Corresponding Author
Keywords: Algoritma Apriori, Data Mining, Pemesanan

Abstract

Inventory is one of the most important factors in ensuring the continuity of the production process. PT. Pratama Abadi Industri is an industrial company in the field of shoe sales. In its activities, PT. Pratama Abadi Industri was unable to provide production materials appropriately, causing a shortage of shoe material stock for the production of the type of shoe that the customer is most interested in. The method used in this research is to use the a priori Algorithm and to get accurate results, this research uses the Tanagra 1.4.50 software. The purpose of this study was to analyze the ordering of NIKE shoes that are often ordered by customers by looking at their previous order patterns. This a priori algorithm can produce 7 final association rules between items with a minimum value of 30% of support and a minimum of 70% of confidence and from May 2020 to October 2020 it is known that the most popular order pattern for NIKE shoes is NIKE shoes with the Tailwind (100%), Revolution 5 (100%), Air Max Plus (100%) and Classic Cortez Leather (100%) which can be used as reference materials in determining the next production material inventory.

Downloads

Download data is not yet available.

References

BPS, “Pertumbuhan Ekonomi Indonesia Triwulan I-2020,” Badan Pus. Stat., pp. 1–12, 2020.

A. S. Rizal, N. L. W. S. Telagawathi, N. N. Yulianthini, and K. E. S. Putra, “Pengaruh Citra Merek Dan Harga Terhadap Loyalitas Pelanggan Sepatu Merek Nike Di Singaraja Futsal,” J. Prospek, vol. 1, no. 2, pp. 34–40, 2019.

S. Supriyanto, “Pengeluaran Rata-Rata Per Kapita Sebulan Menurut Kelompok Barang Indonesia,” Badan Pusat Statistik, 2019. [Online]. Available: https://www.bps.go.id/statictable/2009/06/15/937/persentase-pengeluaran-rata-rata-per-kapita-sebulan-menurut-kelompok-barang-indonesia-1999-2002-2018.html.

A. Bachtiar, “Inventory Control Indirect Material: EOQ Model, Efektivitas Produksi,” J. Ekon. dan Bisnis, vol. 5, no. 2, pp. 103–113, 2017.

J. Efendi, K. Hidayat, and R. Faridz, “Analisis Pengendalian Persediaan Bahan Baku Kerupuk Mentah Potato dan Kentang Keriting Menggunakan Metode Economic Order Quantity ( EOQ ),” Junal Perfoma Media Ilm. Tek. Ind., vol. 18, no. 2, pp. 125–134, 2019.

R. Yanto and H. Di Kesuma, “Pemanfaatan Data Mining Untuk Penempatan Buku Di Perpustakaan Menggunakan Metode Association Rule,” J. Jatisi, vol. 4, no. 1, pp. 1–10, 2017.

E. L. Febrianti and A. Suryadi, “Penerapan Data Mining Dengan Algoritma Apriori Untuk Analisis Pola Pembelian Konsumen,” Semin. Nas. R., vol. 1, no. 1, pp. 173–176, 2018.

M. Safii and A. Trydillah, “Implementasi Data Mining Dalam Menentukan Pola Pembelian Obat Dengan Metode Algoritma Apriori,” J. Manaj. Inform. Komputerisasi Akuntasi, vol. 3, no. 1, pp. 66–71, 2019.

D. Anggraini, S. A. Putri, and L. A. Utami, “Implementasi Algoritma Apriori Dalam Menentukan Penjualan Mobil Yang Paling Diminati Pada Honda Permata Serpong,” J. Media Inform. Budidarma, vol. 4, no. April, pp. 302–308, 2020.

E. D. Sikumbang, “Penerapan Data Mining Penjualan Sepatu Menggunakan Metode Algoritma Apriori,” J. Tek. Komput., vol. 4, no. 1, pp. 156–161, 2018.

A. F. Lestari and M. Hafiz, “Penerapan Algoritma Apriori Pada Data Penjualan Barbar Warehouse,” J. Inovtek Polbeng, vol. 5, no. 1, pp. 96–105, 2020.

N. E. Putria, “Data Mining Penjualan Tiket Pesawat Menggunakan Algoritma Apriori Pada Terminal Tiket Batam Tour & Travel,” J. CBIS, vol. 06, no. 01, pp. 29–39, 2018.

A. F. Budiantara and C. Budihartanti, “Implementasi Data Mining Dalam Manajemen Inventory Pada PT. Mastersystem Infotama Menggunakan Metode Algoritma Apriori,” J. PROSISKO, vol. 7, no. 1, pp. 26–31, 2020.

M. A. Rahma, “Implementasi Metode Simple Additive Weighting (SAW) Sebagai Pendukung Keputusan Pembelian Sepeda Motor,” J. Ilmu Pengetah. dan Teknol. Komput., vol. 4, no. 1, pp. 125–130, 2018.

P. P. A. Industri, Laporan Transaksi Pemesanan Sepatu NIKE. 2020.

R. Wati, I. Imron, and A. Riyandi, Laporan Akhir Penelitian: Analisis Pola Pemesanan Sepatu Pada PT. Pratama Abadi Industri Dengan Menggunakan Algoritma Apriori. Jakarta, 2020.

Published
2021-02-02
How to Cite
[1]
R. Wati, I. Imron, and A. Riyandi, “ANALYSIS OF SHOE ORDERING PATTERN AT PT. PRATAMA ABADI INDUSTRI USING THE APRIORI ALGORITHM”, jitk, vol. 6, no. 2, pp. 233-240, Feb. 2021.
Article Metrics

Abstract viewed = 38 times
PDF downloaded = 23 times

Most read articles by the same author(s)