Published: 2025-07-01
Implementasi Algoritma C4.5 Untuk Memprediksi Penjualan Sepatu Boots Terlaris di Toko Parabellum
DOI: 10.35870/jtik.v9i3.3562
Mochamad Kamil, Yustika Erliani
Abstract
In the busines world, especially the shoe shop business, a marketing strategy is needed in order to increase product sales. One of the shoe shop businesses is parabellum. The high number of visitors to Parabellum’s online and offlie stores resulted in the stock of boots being sold out, so that when customers looked for a variety og boots, these boots were no longer available. From this problem, the author helps predict by analyzing data processing using a comparison og the C4.5 algorithm, where the C4.5 algorithm is an algorithm, it will have accurate result in predicting shoe sales data at the Prabellum Store.
Keywords
C4.5 Algorithm ; Sales ; Boots
Downloads
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. 3 (2025)
-
Section: Computer & Communication Science
-
Published: %750 %e, %2025
-
License: CC BY 4.0
-
Copyright: © 2025 Authors
-
DOI: 10.35870/jtik.v9i3.3562
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
Mochamad Kamil
Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Mercu Buana, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta, Indonesia.
Yustika Erliani
Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Mercu Buana, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta, Indonesia.
-
Abdillah, M. A., Setyanto, A., & Sudarmawan, S. (2020). Implementasi Decision Tree Algoritma C4. 5 Untuk Memprediksi Kesuksesan Pendidikan Karakter. Respati, 15(2), 59-69.
-
AMIK, F. (2017). Algoritma C4. 5 Dalam Data Mining Untuk Menentukan Klasifikasi Kelulusan Calon Mahasiswa Baru (Sudi Kasus: AMIK-DP). JURNAL ILMU PENGETAHUAN & SISTEM INFORMASI (JIPSI), 4(November), 12-33.
-
Azwanti, N. (2018). Analisa Algoritma C4. 5 Untuk Memprediksi Penjualan Motor Pada Pt. Capella Dinamik Nusantara Cabang Muka Kuning. Inform. Mulawarman J. Ilm. Ilmu Komput, 13(1), 33.
-
Ferdiansyah, B., & Goeirmanto, L. (2020). Prediksi Loyalitas dalam Keterikatan Karyawan terhadap Perusahaan Menggunakan Algoritma C4. 5*(Studi Kasus PT. XYZ). JUSTIN (Jurnal Sistem dan Teknologi Informasi), 8(1), 87-97. https://doi.org/10.26418/justin.v8i1.33606.
-
Pambudi, R. H. (2017). Penerapan Algoritma C4. 5 Untuk Memprediksi Nilai Kelulusan Siswa Sekolah Menengah Berdasarkan Faktor Eksternal (Doctoral dissertation, Universitas Brawijaya).
-
Prayogi, A., & Kurniawan, M. A. (2024). Pendekatan Kualitatif dan Kuantitatif: Suatu Telaah. Complex: Jurnal Multidisiplin Ilmu Nasional, 1(2), 30-37.
-
Pritalia, G. L. (2018). Penerapan Algoritma C4. 5 untuk Penentuan Ketersediaan Barang E-commerce. Indonesian Journal of Information Systems, 1(1), 47-56. https://doi.org/10.24002/ijis.v1i1.1727.
-
Putri, R. P. S., & Waspada, I. (2018). Penerapan Algoritma C4. 5 Pada Aplikasi Prediksi Kelulusan Mahasiswa Prodi Teknik Informatika (Doctoral dissertation, Universitas Diponegoro).
-
Rambe, D. I., Nasution, M., & Ah, R. M. (2024). Penerapan Metode Algoritma C4. 5 Untuk Memprediksi Loyalitas Karyawan Pada PT. Tolan Tiga Indonesia Perlabian Estate. INFORMATIKA, 12(2), 132-138. https://doi.org/10.36987/informatika.v12i2.5646.
-
Sagala, N., & Tampubolon, H. (2018). Komparasi Kinerja Algoritma Data Mining pada Dataset Konsumsi Alkohol Siswa. Khazanah Informatika: Jurnal Ilmu Komputer Dan Informatika, 4(2), 98-103. https://doi.org/10.23917/khif.v4i2.7061.
-
Salsabila, C. P., & Wijayanto, A. (2023). Implementasi Algoritma C. 45 Dalam Memprediksi Kualitas Aset Kendaraan Kantor. Journal of Information System Research (JOSH), 4(3), 840-846.
-
Sukri, M. H., & Handrianto, Y. (2024). Penerapan Algoritma C4. 5 Dalam Menentukan Prediksi Prestasi Siswa Pada SMPN 51 Jakarta. Informatics and Computer Engineering Journal, 4(1), 11-24. https://doi.org/10.31294/icej.v4i1.2582.
-
Wirasena, M. R., & Warmansyah, J. (2024). Penerapan Algoritma C4. 5 Untuk Prediksi Kelayakan Pengajuan Kartu Kredit Visa Bagi Nasabah. TeknoIS: Jurnal Ilmiah Teknologi Informasi dan Sains, 14(2), 296-302.
-
Yulia, Y., & Azwanti, N. (2018). Penerapan Algoritma C4. 5 Untuk Memprediksi Besarnya Penggunaan Listrik Rumah Tangga di Kota Batam. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2(2), 584-590. https://doi.org/10.29207/resti.v2i2.503.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright and Licensing Agreement
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
- Authors retain full copyright of their work
- Authors grant the journal right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0)
- This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.