APPLICATION OF THE FP GROWTH ALGORITHM FOR MOBILE PHONE SALES TRANSACTIONS

Authors

  • Marlince Lende Teknik Informatika, Universitas Stella Maris Sumba
  • Andreas Ariyanto Rangga Teknik Informatika, Universitas Stella Maris Sumba
  • Karolus Wulla Rato Teknik Informatika, Universitas Stella Maris Sumba

DOI:

https://doi.org/10.61677/jth.v2i3.334

Keywords:

Data mining, FP-Growth, association rules, mobile store, RapidMiner

Abstract

This study aims to identify consumer purchasing patterns at Bintang Waitabula Mobile Store using data mining techniques, specifically the FP-Growth algorithm. Transactional data were collected through documentation and processed using RapidMiner version 10.1. The FP-Growth method was selected for its efficiency in discovering frequent item combinations without generating candidate sets, unlike the Apriori algorithm. The analysis yielded two association rules with confidence values above 60%, indicating a strong relationship between commonly purchased mobile phone brands such as Samsung and Vivo. The process and results were visualized using diagrams and rule descriptions to support easier interpretation. These findings can serve as the foundation for decision-making in marketing strategies and inventory management. The FP-Growth implementation proved to be efficient and suitable for small to medium-sized retail enterprises.

References

Amalia, D., & Suryani, N. (2017). Perbandingan algoritma apriori dan FP-growth dalam menentukan pola pembelian produk. Jurnal Informatika, 9(1), 45–53.

Annurullah, M., & Maulana, A. (2018). Pemanfaatan data mining dalam strategi penjualan toko ritel. Jurnal Sistem Informasi, 12(2), 22–30.

Ardianto, A. D., & Fitrianah, D. (2019). Implementasi metode FP-Growth untuk sistem rekomendasi produk. Jurnal Teknologi Informasi dan Komputer, 5(2), 99–106. https://doi.org/10.33795/jtik.v5i2.45

Buulolo, D. M. (2020). Pemanfaatan RapidMiner dalam klasifikasi produk UMKM. Jurnal Teknologi dan Sistem Komputer, 8(1), 12–20.

Han, J., Pei, J., & Kamber, M. (2012). Data mining: Concepts and techniques (3rd ed.). Morgan Kaufmann.

Komariyah, N. (2023). Pemanfaatan teknologi informasi dalam bisnis ritel. Jurnal Ekonomi Digital, 5(1), 10–18.

Lubis, M. S., & Fitriani, R. (2016). Strategi penjualan menggunakan market basket analysis. Jurnal Sistem Informasi dan Komputer, 6(1), 11–20.

Mahmudah, S. (2014). Analisis pengaruh asosiasi produk terhadap penjualan bundling. Jurnal Manajemen Pemasaran, 3(2), 75–82.

Munanda, M., & Monalisa, T. (2021). Penerapan algoritma FP-Growth untuk analisis pembelian pelanggan. Jurnal Sistem Informasi, 10(2), 145–154. https://doi.org/10.14710/jsi.10.2.145-154

Piatetsky-Shapiro, G. (2006). The data mining process. In Encyclopedia of Data Warehousing and Mining.

Prasetyo, B., & Ramadhan, M. R. (2021). Visualisasi data mining dengan RapidMiner dalam pengambilan keputusan pembelian. Jurnal Ilmu Komputer dan Informasi, 12(1), 33–40.

Sikumbang, Y. A. (2018). Perancangan sistem rekomendasi berbasis data mining. Jurnal Sistem Informasi, 14(2), 50–58.

Situmorang, R., & Lufti, A. (2014). Pemanfaatan FP-Growth untuk UMKM. Jurnal Teknologi Informasi dan Bisnis, 2(2), 20–26.

Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D. Bandung: Alfabeta.

Suhartono, D., & Nugroho, A. (2018). Analisis asosiasi barang menggunakan FP-Growth untuk UMKM. Jurnal Teknologi dan Sistem Komputer, 6(2), 150–157.

Vulandari, S. (2017). Implementasi data mining dalam strategi layout toko ritel. Jurnal Ilmu Komputer Terapan, 3(1), 18–26.

Wibowo, A., & Jananto, R. (2020). Pengaruh manajemen stok terhadap efisiensi toko elektronik. Jurnal Ekonomi dan Bisnis, 11(2), 102–109.

Yuliani, M., & Wulandari, R. (2020). Pola asosiasi pembelian pelanggan toko ritel menggunakan algoritma FP-Growth. Jurnal Ekonomi dan Bisnis, 14(3), 88–96.

Zahro, N. M., & Kusumaningrum, I. (2020). Integrasi data mining dalam sistem rekomendasi produk. Jurnal Sistem Cerdas, 3(2), 23–30.

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Published

2025-04-30

How to Cite

Lende, M., Andreas Ariyanto Rangga, & Karolus Wulla Rato. (2025). APPLICATION OF THE FP GROWTH ALGORITHM FOR MOBILE PHONE SALES TRANSACTIONS. JTH: Journal of Technology and Health, 2(3), 132–140. https://doi.org/10.61677/jth.v2i3.334

Issue

Vol. 2 No. 3 (2025): January: JTH: Journal of Technology and Health

Section

Articles

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Copyright (c) 2024 Marlince Lende, Andreas Ariyanto Rangga, Karolus Wulla Rato

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