Perancangan Ulang Tata Letak Pedagang Pasar Panam Pekanbaru dengan Metode Association Rules-Market Basket Analysis

Authors

  • Faradila Ananda Yul Universitas Muhammadiyah Riau
  • St Nova Meirizha Universitas Muhammadiyah Riau
  • Denur Denur Universitas Muhammadiyah Riau
  • Tazhi Dizha Universitas Muhammadiyah Riau
  • Hendri Ali Ardi Universitas Muhammadiyah Riau

DOI:

https://doi.org/10.31004/jutin.v8i4.51341

Keywords:

Confidence, Association Rules Market Basket Analysis, Support Factor

Abstract

This study explains the redesign of the vendor layout at Panam Market in Pekanbaru using the association rules – market basket analysis method. The research aims to determine consumer shopping behavior patterns and to reorganize the vendor layout at Panam Market Pekanbaru. Based on the research results, it can be concluded that the reorganization of the vendor layout at Panam Market Pekanbaru was carried out based on the calculation of the support factor with a minimum value of 3% and the confidence value with a minimum of 60%. From the data processing results using the RapidMiner application, it was found that several vendor stalls in the market need to be positioned closer to each other based on the level of association, categorized as absolutely related, very important, fairly important, neutral, unimportant, and very unimportant.

References

Anwar Arifin, I. W. (2022). Perbaikan tata letak pasar induk tradisional di Sangatta dengan metode market basket analysis (mba). Research Journal of Accounting and Business Management, 5(2), 113. https://doi.org/10.31293/rjabm.v5i2.5784

Herman Mawengkang, D. E. B. N. (2015). Pengembangan Algoritma Apriori Untuk Pengambilan Keputusan. Keputusan the Development Apriori Algorithm for Decision-, 4(2), 110–121.

Parasela, A. (2021). Optimalisasi kebijakan penataan pasar baru bayung lencir dalam meningkatkan pendapatan asli daerah kecamatan bayung lencir kabupaten musi banyuasin.

Pradana, E., Nurcahyo, C. B., Sipil, T., Teknik, F., Teknologi, I., Nopember, S., Arief, J., Hakim, R., & Indonesia, S. (2014). Analisis Tata Letak Fasilitas Proyek Menggunakan Activity Relationship Chart dan Multi-Objectives Function pada Proyek Pembangunan Apartemen De Papilio Surabaya. 3(2).

Purwaningsih, R., Widharto, Y., Susanto, N., & Utami, L. T. (2020). Redesain tata letak produk di supermarket berdasarkan perilaku pembelian dengan metode market basket analysis. J@ti Undip :

Satria. (2010). Pasar Modern Dan Pasar Tradisional. Rineka Cipta.

Soetopo, H. S. R., Tannady, H., Nurprihatin, F., & Jodiawan, P. (2017). Perancangan Ulang Tata Letak Pasar Johar Baru untuk Mengurangi Kepadatan Lalu Lintas dalam Pasar. JIEMS (Journal of Industrial Engineering and Management Systems), 10(1).

https://doi.org/10.30813/jiems.v10i1.34

Suryani, S., & Utami, S. P. (2021). Analisis Layout Produk dengan Metode Market Basket Analysis (MBA) pada Swalayan CG Mart Pasir Putih Kabupaten Kampar. 32(1), 122–132.

Wibawanto, A. A. A., Choiri, M., & Eunike, A. (2014). Perancangan Tata Letak Fasilitas Produksi Pestisida II Dengan Metode Computerized Relationship Layout Planning (CORELAP) Untuk Meminimasi Material Handling (Studi Kasus: PT. Petrokimia Kayaku Gresik). Jurnal Rekayasa Dan Manajemen Sistem Industri, 2, 871–883.

Wirawan, C. (2020). Teknik Data Mining Menggunakan Algoritma Decision Tree C4.5 untuk Memprediksi Tingkat Kelulusan Tepat Waktu. Applied Information System and Management (AISM), 3(1), 47–52. https://doi.org/10.15408/aism.v3i1.13033Jurnal Teknik Industri, 15(3), 196–202. https://doi.org/10.14710/jati.15.3.196-202

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Published

2025-10-20

How to Cite

Yul, F. A., Meirizha, S. N., Denur, D., Dizha, T., & Ardi, H. A. (2025). Perancangan Ulang Tata Letak Pedagang Pasar Panam Pekanbaru dengan Metode Association Rules-Market Basket Analysis. Jurnal Teknik Industri Terintegrasi (JUTIN), 8(4), 4486–4492. https://doi.org/10.31004/jutin.v8i4.51341

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Section

Articles of Research

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