Penentuan Asosiation Rule Pada Penjualan Produk UMKM Tugu Mulyo Menggunakan Metode Apriori


Authors

  • Cindi Wulandari Universitas Bina Insan, Lubuklinggau, Indonesia
  • Lukman Sunardi Universitas Bina Insan, Lubuklinggau, Indonesia
  • Pebrian Syaifudin Universitas Bina Insan, Lubuklinggau, Indonesia

DOI:

https://doi.org/10.47065/bulletincsr.v4i1.303

Keywords:

Transaction; Data Mining; Apriori Method

Abstract

Pondok Roti has many existing variants, ranging from chocolate bread, mocca bread, round bread, donut bread, coconut bread, strawberry bread and pineapple bread, green bean bread, birthday cake, burgers, hot dogs, pizza, so the bread that is produced must be right so that the bread can be sold out without any stale and moldy bread because it is not sold. The number of unsold breads will harm the business owner. Transactions that occur in a day are quite a lot in this bread business. Sales transactions are still recorded manually using excel, and existing data has not been managed properly to become new information that can help the management in bread production. The many types and flavors of bread make it easy for buyers to choose and buy the bread they want and like. Looking at existing transaction data, it can be seen that buyers prefer certain flavors. Knowledge Discovery in Databases (KDD) is used to explain how the process of extracting information hidden in the database. Knowledge Discovery in Databases (KDD) and data mining are related to each other. This research uses the apriori algorithm to get a rule base for purchasing products at Pondok Roti stores. The apriori algorithm will later be used to find the most frequent combination of an itemset. Research data will be simulated to get the best rule base using the Weka application. The results of the research are in the form of association rules on the sale of Tugu Mulyo MSME products.

Downloads

Download data is not yet available.

References

A. Romaya Sari Sitorus Pane, Deski Helsa Pane, “Penerapan Data Mining Dalam Menentukan Pola Penjualan Produk Menggunakan Metode Algoritma Apriori (Association Rule),” J. Cyber Tech, vol. 3, no. 1, pp. 194–206, 2020, [Online]. Available: http://ojs.trigunadharma.ac.id/index.php/jct/article/view/4631%0Ahttps://ojs.trigunadharma.ac.id/index.php/jct/article/viewFile/4631/374.

U. Baetulloh, A. I. Gufroni, and R. -, “Penerapan Metode Association Rule Mining Pada Data Transaksi Penjualan Produk Kartu Perdana Kuota Internet Menggunakan Algoritma Apriori,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 10, no. 1, pp. 173–188, 2019, doi: 10.24176/simet.v10i1.2890.

M. Soleh, N. Hidayati, and F. D. M. Krisdian, “Penerapan Metode Association Rule - Market Basket Analysis Untuk Meningkatkan Daya Saing Toko Swalayan Kecil,” J. Apl. Ilmu Tek. Ind., vol. 2, no. 1, p. 1, 2021, doi: 10.32585/japti.v2i1.1469.

P. Wijaya and M. Siddik, “Penerapan Association Rule Untuk Menentukan Pola Prilaku Konsumen Dalam Membantu Strategi Penjualan,” Agustus, vol. 6, no. 3, 2022.

I. G. T. ISA and D. Jhoansyah, “Implementasi Association Rules Dalam Menentukan Posisi Gerobak (Studi Kasus: Foodcourt Universitas Muhammadiyah Sukabumi),” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 13, no. 2, p. 65, 2019, doi: 10.30872/jim.v13i2.1273.

Yuli Mardi, “Data Mining?: Klasifikasi Menggunakan Algoritma C4 .,” J. Edik Inform., vol. 2, no. 2, pp. 213–219, 2019.

I. K. Juni Arta, G. Indrawan, and G. R. Dantes, “Data Mining Rekomendasi Calon Mahasiswa Berprestasi Di Stmik Denpasar Menggunakan Metode Technique for Others Reference By Similarity To Ideal Solution,” JST (Jurnal Sains dan Teknol., vol. 5, no. 2, pp. 11–21, 2017, doi: 10.23887/jstundiksha.v5i2.8549.

E. D. Reni Kurniah, Dadang Yunika Surya Putra, “Penerapan Data Mining Decission Tree Algoritma C4.5 Untuk Mengetahui Tingkat Kepuasan,” J. Inform. dan Teknol., vol. 5, no. 2, p. 316, 2022, [Online]. Available: https://dx.doi.org/10.29408/jit.v5i2.5910.

C. N. Dengen, K. Kusrini, and E. T. Luthfi, “Penentuan Association Rule Pada Kelulusan Mahasiswa Menggunakan Algoritma Apriori,” J. Rekayasa Teknol. Inf., vol. 3, no. 1, p. 20, 2019, doi: 10.30872/jurti.v3i1.2256.

A. Anas, “Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi STIE-Graha Karya Muara Bulian,” J. Ilm. Media Sisfo, vol. 14, no. 1, pp. 64–70, 2020, doi: 10.33998/mediasisfo.2020.14.1.790.

W. Aprianti, K. A. Hafizd, and M. R. Rizani, “Implementasi Association Rules dengan Algoritma Apriori pada Dataset Kemiskinan,” Limits J. Math. Its Appl., vol. 14, no. 2, p. 57, 2017, doi: 10.12962/limits.v14i2.2933.

P. H. Winasis, M. Program, P. Magister, I. Komputer, and U. B. Luhur, “Penerapan Data Mining Untuk Analisis Pola Apriori Pada Mall Cpm Jakarta,” vol. 2, no. 2, 2019.

S. Al Syahdan and A. Sindar, “Data Mining Penjualan Produk Dengan Metode Apriori Pada Indomaret Galang Kota,” J. Nas. Komputasi dan Teknol. Inf., vol. 1, no. 2, 2018, doi: 10.32672/jnkti.v1i2.771.

A. Maulidah and F. A. Bachtiar, “Penerapan Metode Association Rule Mining untuk Asosiasi Ulasan Terhadap Aspek Tempat Wisata Jawa Timur Park 3,” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 5, pp. 1029–1038, 2021, doi: 10.25126/jtiik.2021854417.

Nurdin and D. Astika, “Penerapan Data Mining Untuk Menganalisis Penjualan Barang Dengan Pada Supermarket Sejahtera Lhokseumawe,” vol. 6, no. 1, pp. 134–155, 2015, doi: 10.29103/TECHSI.V7I1.184.

A. Firmansyah and N. Merlina, “Prediksi Pola Penjualan Tiket Kapal Pt. Pelni Cabang Makassar Menggunakan Metode Algoritma Apriori,” JITK (Jurnal Ilmu Pengetah. dan Teknol. Komputer), vol. 5, no. 2, pp. 183–190, 2020, doi: 10.33480/jitk.v5i2.1123.

I. M. Kamal, T. H. P, and R. Ilyas, “Prediksi Penjualan Buku Menggunakan Data Mining,” Semin. Nas. Teknol. Inf. dan Multimed., pp. 49–54, 2017.

A. Setiawan and F. P. Putri, “Implementasi Algoritma Apriori untuk Rekomendasi Kombinasi Produk Penjualan,” Ultim. J. Tek. Inform., vol. 12, no. 1, pp. 66–71, 2020, doi: 10.31937/ti.v12i1.1644.

M. Aprilliyani and M. Y. Putra, “Algoritma Apriori UntukMenentukan Pola PenjualanPada 212 Mart Cibitung,” Inf. Syst. Educ. Prof., vol. 3, no. 2, pp. 215–226, 2019.

S. Saefudin and S. DN, “Penerapan Data Mining Dengan Metode Algoritma Apriori Untuk Menentukan Pola Pembelian Ikan,” JSiI (Jurnal Sist. Informasi), vol. 6, no. 2, p. 36, 2019, doi: 10.30656/jsii.v6i2.1587.

H. Kusumo, E. Sediyono, and M. Marwata, “Analisis Algoritma Apriori untuk Mendukung Strategi Promosi Perguruan Tinggi,” Walisongo J. Inf. Technol., vol. 1, no. 1, p. 49, 2019, doi: 10.21580/wjit.2019.1.1.4000.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Penentuan Asosiation Rule Pada Penjualan Produk UMKM Tugu Mulyo Menggunakan Metode Apriori

ARTICLE HISTORY

Submitted: 2023-12-02
Published: 2023-12-31

Abstract View: 55 times
PDF Download: 25 times

How to Cite

Wulandari, C. ., Sunardi, L. ., & Syaifudin, P. (2023). Penentuan Asosiation Rule Pada Penjualan Produk UMKM Tugu Mulyo Menggunakan Metode Apriori. Bulletin of Computer Science Research, 4(1), 18-26. https://doi.org/10.47065/bulletincsr.v4i1.303

Issue

Section

Articles