Published: 2025-01-01

Implementasi Algoritma Apriori Pada Aplikasi Penjualan Buah Berbasis Web

DOI: 10.35870/jtik.v9i1.2971

Indra Irawan, Sunardi, Sitti Harlina
  • Indra Irawan: Universitas DIPA Makassar ROR
  • Sunardi: Universitas DIPA Makassar ROR
  • Sitti Harlina: Universitas DIPA Makassar ROR
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Abstract

This research aims to implement the Apriori algorithm in a web-based fruit sales application to discover consumer purchasing patterns and provide appropriate product recommendations. The dataset used consists of 10 fruit sales transactions. The fruit sales transaction data is then analyzed using the Apriori algorithm to identify frequently purchased product combinations. The analysis results are then used to provide accurate product recommendations to customers. Implementation is carried out by calculating the support, confidence, and lift ratio values for each product combination based on transaction data. Association rules with a support value of 30% and confidence of 60% found sweet fragrant mango, murcot australian orange, and fuji88 apple, which are then used to provide recommendations to relevant customers. This research aims to improve product recommendation accuracy, customer satisfaction, and overall sales efficiency in the fruit sales industry.

Keywords

Apriori Algorithm; Fruit Sales; Product Recommendation; Purchasing Patterns; Association Analysis

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How to Cite

Irawan, I., Sunardi, & Harlina, S. (2025). Implementasi Algoritma Apriori Pada Aplikasi Penjualan Buah Berbasis Web. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(1), 234-243. https://doi.org/10.35870/jtik.v9i1.2971
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 9 No. 1 (2025)

  • Section: Computer & Communication Science

  • Published: 2025-01-01

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Author Biographies
Indra Irawan, Universitas DIPA Makassar
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Universitas Dipa Makassar, Kota Makassar, Provinsi Sulawesi Selatan, Indonesia.

Sunardi, Universitas DIPA Makassar
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Universitas Dipa Makassar, Kota Makassar, Provinsi Sulawesi Selatan, Indonesia.

Sitti Harlina, Universitas DIPA Makassar
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Universitas Dipa Makassar, Kota Makassar, Provinsi Sulawesi Selatan, Indonesia.

References
  • Alma'arif, E., Utami, E., & Wibowo, F. W. (2021). Implementasi Algoritma Apriori Untuk Rekomendasi Produk Pada Toko Online. Creative Information Technology Journal, 7(1), 63-74.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Ashari, I. A., Wirasto, A., Triwibowo, D. N., & Purwono, P. (2022). Implementasi market basket analysis dengan algoritma Apriori untuk analisis pendapatan usaha retail. MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, 21(3), 701–709. https://doi.org/10.30812/matrik.v21i3.1439.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Badaruddin, M., & Rayendra, R. (2022). Penerapan algoritma Apriori pada analisa data penjualan e-commerce. Jurnal Media Informatika Budidarma, 6(2), 1032. https://doi.org/10.30865/mib.v6i2.3976.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Delya, D., Mulyawan, B., & Lauro, M. D. (2022). E-commerce blessed party dengan sistem rekomendasi apriori dan collaborative filtering. Jurnal Ilmu Komputer Dan Sistem Informasi, 10(1). DOI: https://doi.org/10.24912/jiksi.v10i1.17851.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Erwansyah, K., Andika, B., & Gunawan, R. (2021). Implementasi Data Mining Menggunakan Asosiasi Dengan Algoritma Apriori Untuk Mendapatkan Pola Rekomendasi Belanja Produk Pada Toko Avis Mobile. Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD, 4(1), 148-161. DOI: https://doi.org/10.53513/jsk.v4i1.2628.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Gumilang, J. R. (2020). Implementasi Algoritma Apriori Untuk Analisis Penjualan Konter Berbasis Web. Jurnal Informatika Dan Rekayasa Perangkat Lunak, 1(2), 226-233. DOI: https://doi.org/10.33365/jatika.v1i2.612.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Hanapi, A., & Sari, R. (2023). Penerapan Algoritma Apriori Untuk Rekomendasi Produk Bagi Pelanggan Toko Online Berbasis Website. Jurnal Jaring SainTek, 5(1), 51-60. DOI: https://doi.org/10.31599/4bkekg11.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Khoerida, N. I., Widiawati, N. T., Triana, L. A., & Subarkah, P. (2022). Penerapan algoritma Apriori pada transaksi penjualan untuk rekomendasi menu makanan dan minuman. Jurnal Nasional Teknologi dan Sistem Informasi, 8(3), 009–016. DOI; https://doi.org/10.25077/TEKNOSI.v8i3.2022.009-016.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Kristania, Y. M., & Listanto, S. (2022). Implementasi Data Mining Terhadap Data Penjualan Dengan Algoritma Apriori Pada Pt. Duta Kencana Swaguna. Jurnal Teknoinfo, 16(2), 364-372. DOI: https://doi.org/10.33365/jti.v16i2.1973.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Lestari, A. F., & Hafiz, M. (2020). Penerapan Algoritma Apriori Pada Data Penjualan Barbar Warehouse. Jurnal Inovtek Polbeng Seri Informatika, 5(1), 96-105. DOI: https://doi.org/10.35314/isi.v5i1.1317.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Munthe, I. R., & Juledi, A. P. (2021). Implementasi Data Mining Algoritma Apriori untuk Meningkatkan Penjualan. Jurnal Teknik Informatika UNIKA Santo Thomas, 6(1), 188-197.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Prasetyo, A., Sastra, R., & Musyaffa, N. (2020). IMPLEMENTASI DATA MINING UNTUK ANALISIS DATA PENJUALAN DENGAN MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS DAPOERIN'S). Jurnal Khatulistiwa Informatika, 8(2). DOI: https://doi.org/10.31294/jki.v8i2.8994.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Riszky, A. R., & Sadikin, M. (2019). Data mining menggunakan algoritma Apriori untuk rekomendasi produk bagi pelanggan. Jurnal Teknologi dan Sistem Komputer, 7(3), 103–108. https://doi.org/10.14710/jtsiskom.7.3.2019.103-108.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Setiawan, A., & Putri, F. P. (2020). Implementasi Algoritma Apriori untuk Rekomendasi Kombinasi Produk Penjualan. Ultimatics: Jurnal Teknik Informatika, 12(1), 66-71. DOI: https://doi.org/10.31937/ti.v12i1.1644.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sinaga, D. M., Sirait, W. H., & Windarto, A. P. (2021). Analisis Algoritma Apriori Dalam Menentukan Pola Pemesanan Konsumen Pada Ucokopi. Journal of Informatics Management and Information Technology, 1(2), 68-73. DOI: https://doi.org/10.47065/jimat.v1i2.105.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Takdirillah, R. (2020). Penerapan data mining menggunakan algoritma Apriori terhadap data transaksi sebagai pendukung informasi strategi penjualan. Edumatic: Jurnal Pendidikan Informatika, 4(1), 37–46. https://doi.org/10.29408/edumatic.v4i1.20
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Ulfha, N. F., & Amin, R. (2020). Implementasi data mining untuk mengetahui pola pembelian obat menggunakan algoritma apriori. Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika, 17(2), 396-402.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Wijaya, H. O. L., Armanto, A., & Sari, W. M. (2022). Prediksi Pola Penjualan Barang pada UMKM XYZ dengan Metode Algoritma Apriori. Jurnal Sistem Komputer dan Informatika (JSON), 3(4), 432-437. DOI: http://dx.doi.org/10.30865/json.v3i4.4200.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Yudanar, A. F., Fitriasih, S. H., & Hasbi, M. (2020). Rekomendasi barang di toko elektrik menggunakan algoritma Apriori. Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), 8(2), 25–35. https://doi.org/10.30646/tikomsin.v8i2.499.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
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