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Open Access Computer & Communication Science

Penerapan Algoritma FP-Growth untuk Strategi Penjualan Toko Kelontong Cipta Lestari

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  • Tarwoto1
  • Ahnaf Vanning AL-Haq2
  • Anindya Fidela3
  • Wini Audiana4
  • Zulfa Ummu Hani5*

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Abstract

This research uses the FP-Growth algorithm to identify sales patterns at the Cipta Lestari convenience store to support inventory management efficiency and marketing strategies. The data used in this research consists of daily sales transaction data that includes product types and the quantities sold. This analysis employs a support parameter of 0.95 and a confidence level of 0.8, with a maximum limit of 100,000 items. The results indicate that products such as Kchoco, sambal sauce, and tea 3350ml are often purchased together with Torabika coffee, soy sauce, and instant fried noodles. This combination pattern enables the store to create more effective product promotions and optimize inventory. The goal of this research is to develop business strategies that are more responsive to customer needs, enhance satisfaction with the right product offerings, and strengthen competitive marketing. This research is expected to contribute to the development of traditional marketing strategies and serve as a reference for analyzing consumer purchasing patterns in future studies.

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How to Cite

Citation Format
Tarwoto, AL-Haq, A. V., Fidela, A., Audiana, W., & Hani, Z. U. (2025). Penerapan Algoritma FP-Growth untuk Strategi Penjualan Toko Kelontong Cipta Lestari. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(2), 444-451. https://doi.org/10.35870/jtik.v9i2.3278

References

14 References
  • Akmar, M., Matulatan, T., & Ritha, N. (2022). Penerapan Algoritma Fp-Growth Untuk Menganalisapola Transaksi Pembelian Obat Oleh Kosumen. Student Online J, 3(1), 124-138.
  • Anas, A. (2020). Penerapan Algoritma Fp-Growth Dalam Menentukan Perilaku Konsumen Ghania Mart Muara Bulian. Jurnal Ilmiah Media Sisfo, 14(2), 120-129. https://doi.org/10.33998/mediasisfo.2020.14.2.879.
  • Arta, I. K. J., Indrawan, G., & Dantes, G. R. (2016). Data Mining Rekomendasi Calon Mahasiswa Berprestasi Di Stmik Denpasar Menggunakan Metode Technique for Others Reference By Similarity To Ideal Solution. JST (Jurnal Sains Dan Teknologi), 5(2).
  • Fayyad, U. M., Piatetsky-Shapiro, G., & Smyth, P. (1996, August). Knowledge Discovery and Data Mining: Towards a Unifying Framework. In KDD (Vol. 96, pp. 82-88).
  • Habibah, A. S., Solehudin, A., & Primajaya, A. (2022). Analisis Persediaan Stok Barang Warung Menggunakan Data Mining Dengan Algoritma Fp-Growth (Studi Kasus: Warung Bu Nani). Jurnal Ilmiah Wahana Pendidikan, 8(17), 46-58. https://doi.org/10.5281/zenodo.7069512.
  • Lestari, L. M., & Ali, I. (2023). Penerapan Algoritma FP-Growth Untuk Menentukan Pola Penjualan Toko Ellia Umami. Journal of Student Research, 1(3), 367-378.
  • Lestari, Y. D. (2015). Penerapan Data Mining Menggunakan Algoritma Fp-Tree Dan Fp-Growth Pada Data Transaksi Penjualan Obat.
  • Mardi, Y. (2017). Data mining: Klasifikasi menggunakan algoritma c4. 5. Jurnal Edik Informatika Penelitian Bidang Komputer Sains dan Pendidikan Informatika, 2(2), 213-219. https://doi.org/10.22202/ei.2016.v2i2.1465.
  • Maulidiya, H., & Jananto, A. (2020). Asosiasi Data Mining Menggunakan Algoritma Apriori Dan Fpgrowth Sebagai Dasar Pertimbangan Penentuan Paket Sembako.
  • Miraldi, R. N., Christanto, A. R., & Susanto, B. (2014). Implementasi algoritma fp-growth untuk sistem rekomendasi buku di perpustakaan UKDW. Informatika: Jurnal Teknologi Komputer dan Informatika, 10(1), 65360. https://doi.org/10.21460/inf.2014.101.323.
  • Pratama, R. Z., Sihombing, M., & Ambarita, I. (2024). Application of Data Mining to Measure the Level of Satisfaction with Public Facilities and Services at STMIK Kaputama Binjai Using Linear Regression Method. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 4(1), 411-418.
  • Sari, M. U., & Asmendri, A. U. (2020). Natural Science: Jurnal Penelitian Bidang IPA dan Pendidikan IPA Website. Natural Science, 6(1).
  • Susanto, H., & Sudiyatno, S. (2014). Data mining untuk memprediksi prestasi siswa berdasarkan sosial ekonomi, motivasi, kedisiplinan dan prestasi masa lalu. Jurnal pendidikan vokasi, 4(2). https://doi.org/10.21831/jpv.v4i2.2547.
  • Trivaika, E., & Senubekti, M. A. (2022). Perancangan Aplikasi Pengelola Keuangan Pribadi Berbasis Android. Nuansa Informatika, 16(1), 33-40. https://doi.org/10.25134/nuansa.v16i1.4670.

Author Biographies

Tarwoto, Universitas Amikom Purwokerto, Universitas Amikom Purwokerto

Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

Ahnaf Vanning AL-Haq, Universitas Amikom Purwokerto, Universitas Amikom Purwokerto

Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

Anindya Fidela, Universitas Amikom Purwokerto, Universitas Amikom Purwokerto

Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

Wini Audiana, Universitas Amikom Purwokerto, Universitas Amikom Purwokerto

Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

Zulfa Ummu Hani, Universitas Amikom Purwokerto, Universitas Amikom Purwokerto

Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

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