jimik@stmiki.ac.id 081377790601 Online Submission Open
Vol. 5 No. 3 (2024) • Articles
Open Access

Komparasi Penerapan Algoritma C4.5 dan Naïve Bayes untuk Ketepatan Waktu Pengiriman Barang Pada PT. Rtrans Logistik Artamandiri

Yasmin Aulia Azzahra
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Yuma Akbar
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Published: September 20, 2024 Pages: 2768-2780
Original Full-Text Article
Download published version for reading and archiving
Download PDF
Abstract

The logistics industry faces significant challenges in maintaining the punctual delivery of goods, which is a critical factor in enhancing customer satisfaction and reducing operational costs. This research aims to compare the effectiveness of the C4.5 and Naïve Bayes algorithms in analyzing the factors that influence delivery punctuality at PT. Rtrans Logistics Artamandiri. A dataset comprising 1,000 shipping records and 13 relevant attributes was utilized to assess each algorithm’s predictive performance in supporting decision-making processes related to delivery efficiency. The findings reveal that the C4.5 algorithm achieves a higher accuracy of 95.00%, compared to the Naïve Bayes algorithm, which reached an accuracy of 91.00%. Furthermore, this study highlights the importance of selecting the appropriate algorithm in logistics management to enhance operational efficiency and customer satisfaction. The results of this research are expected to provide a foundation for strategic decision-making in the field of goods delivery, particularly in optimizing delivery timeliness.

Keywords:
Timeliness C4.5 Algorithm Naïve Bayes Freight Delivery Logistics
Article Metrics & Downloads Graph
Monthly Download Trends:
Author Biographies
Yasmin Aulia Azzahra Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Program Studi Sistem Informasi, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia

Yuma Akbar Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Program Studi Sistem Informasi, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia

How to Cite
Azzahra, Y. A., & Akbar, Y. (2024). Komparasi Penerapan Algoritma C4.5 dan Naïve Bayes untuk Ketepatan Waktu Pengiriman Barang Pada PT. Rtrans Logistik Artamandiri. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 5(3), 2768-2780. https://doi.org/10.35870/jimik.v5i3.1003
License

Creative Commons Attribution 4.0 International License (CC BY 4.0)

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License .

  • Share: You are free to copy, distribute, and transmit the work in any medium or format.
  • Adapt: You are free to remix, transform, and build upon the work for any purpose, even commercially.
  • Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Copyright & Retention: Authors retain copyright without restrictions and grant this journal the right of first publication under an open-access model. The journal retains non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

References
Total: 26 References
  1. Alkhalifi, Y., Zumarniansyah, A., Ardianto, R., Hardi, N., & Augustia, A. E. (2020). Comparison of Naive Bayes algorithm and C4.5 algorithm in classification of poor communities receiving non-cash food assistance in Wanasari Village, Karawang Regency. Jurnal Techno Nusa Mandiri, 17(1), 37–42. https://doi.org/10.33480/techno.v17i1.1191
  2. Amril Mutoi Siregar, S. K. M. K. D. A. N. A. P. S. K. M. K. (n.d.). Data mining: Pengolahan data menjadi informasi dengan RapidMiner. CV Kekata Group. https://books.google.co.id/books?id=rTlmDwAAQBAJ
  3. Anggi Trifani, A., Perdana Windarto, A., & Qurniawan, H. (2022). Penerapan data mining klasifikasi C4.5 dalam menentukan tingkat stres mahasiswa akhir. Jurnal Riset Rumpun Ilmu Teknik, 1(2), 91–105. https://doi.org/10.55606/jurritek.v1i2.414
  4. Arwanda, F. P., Hannie, & Dermawan, B. A. (2021). Komparasi penerapan forward selection pada algoritma C4.5 dan Naïve Bayes untuk memprediksi kompetensi karyawan (Studi kasus: PT. XYZ). Jurnal Ilmiah Wahana Pendidikan, 7(3), 97–104. https://doi.org/10.5281/zenodo.4970680
  5. Azhari, M., Situmorang, Z., & Rosnelly, R. (2021). Perbandingan akurasi, recall, dan presisi klasifikasi pada algoritma C4.5, random forest, SVM, dan Naive Bayes. Jurnal Media Informatika Budidarma, 5(2), 640. https://doi.org/10.30865/mib.v5i2.2937
  1. Dikriani, D., & Indal Karim, A. T. (2023). Comparison of C4.5 and Naive Bayes algorithm methods in prediction of student graduation on time (Case study: Information systems study program). Journal of Dinda: Data Science, Information Technology, and Data Analytics, 3(1), 40–44. https://doi.org/10.20895/dinda.v3i1.782
  2. Fatmawati, F., & Narti, N. (2022). Perbandingan algoritma C4.5 dan Naive Bayes dalam klasifikasi tingkat kepuasan mahasiswa terhadap pembelajaran daring. JTIM: Jurnal Teknologi Informasi dan Multimedia, 4(1), 1–12. https://doi.org/10.35746/jtim.v4i1.196
  3. Fitriani, E. (2020). Perbandingan algoritma C4.5 dan Naïve Bayes untuk menentukan kelayakan penerima bantuan program keluarga harapan. Sistemasi, 9(1), 103. https://doi.org/10.32520/stmsi.v9i1.596
  4. Gusrialni, Fitri, N., Adilya, S., & Azizi, F. (2023). Comparison of the Naive Bayes classification system and C4.5 for the diagnosis of stroke. SENTIMAS: Seminar Nasional Penelitian dan Pengabdian Masyarakat, 49–55.
  5. Harianto, H., & Rosiyadi, D. (2020). Komparasi algoritma C4.5, Naïve Bayes dan k-nearest neighbor sebagai sistem pendukung keputusan menaikkan jumlah peserta didik. Jurnal Informatika, 7(1), 55–61. https://doi.org/10.31311/ji.v7i1.7250
  6. Lasarudin, A., Gani, H., & Tomayahu, M. (2023). Perbandingan metode Naïve Bayes dan C4.5 klasifikasi status gizi bayi balita. SPECTA Journal of Technology, 6(3), 273–283. https://doi.org/10.35718/specta.v6i3.789
  7. Martin, M., & Nilawati, L. (2021). Comparison of C4.5 and Naïve Bayes algorithms for assessment of public complaints services. Journal of Informatics and Telecommunication Engineering, 5(1), 101–111. https://doi.org/10.31289/jite.v5i1.5292
  8. Normah, Y., Novianti, D., Winnarto, M. N., Zumarniansyah, A., & Linawati, S. (2020). Comparison of classification C4.5 algorithms and Naïve Bayes classifier in determining merchant acceptance on sponsorship program. Journal of Physics: Conference Series, 1641(1). https://doi.org/10.1088/1742-6596/1641/1/012006
  9. Novriandy, A. (2023). Implementasi algoritma Naive Bayes dan algoritma C4.5 dalam klasifikasi kelayakan bantuan UMKM. KLIK: Kajian Ilmiah Informatika dan Komputer, 4(1), 208–217. https://doi.org/10.30865/klik.v4i1.1099
  10. Parkhan, A., & Sugarindra, M. (2022). Kualitas mekanis kain tenun menggunakan metode Vikor. Jurnal Disprotek, 13(2), 137–145. https://doi.org/10.34001/jdpt.v12i2
  11. Pemilihan Penggunaan Jenis di Bidan Swasta, Hayati, E., Utami, N. C., Hananto, U. K., & Hilabi, S. (2023). Komparasi metode klasifikasi data mining algoritma C4.5 dan Naïve Bayes. Journal of Social Science Research, 3, 503–513.
  12. Purnomo, N. H., Pamungkas, B., & Juliane, C. (2023). Penerapan algoritma C4.5 untuk klasifikasi tren pelanggaran kendaraan angkutan barang dengan metode CRISP-DM. Jurnal Media Informatika Budidarma, 7(1), 30–40. https://doi.org/10.30865/mib.v7i1.5247
  13. Rian Pratama, Huda, B., Novalia, E., & Kabir, H. (2022). Perbandingan algoritma C4.5 dan Naïve Bayes dalam menentukan persediaan stok. Metik Jurnal, 6(2), 115–122. https://doi.org/10.47002/metik.v6i2.379
  14. Rizqullah, M. F., Raihana, N. T., & Jambak, M. I. (2024). Komparasi penerapan algoritma C4.5, k-nearest neighbor, dan Naïve Bayes untuk keberlangsungan pasien gagal jantung. KLIK: Kajian Ilmiah Informatika dan Komputer, 4(5), 2580–2587. https://doi.org/10.30865/klik.v4i5.1788
  15. Romli, I., & Kurniawan, M. E. (2022). Klasifikasi kerusakan barang dengan menggunakan komparasi algoritma C4.5 dan Naive Bayes. JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital, 1(1), 21–30. https://doi.org/10.55123/jumintal.v1i1.303
  16. Rovidatul, Y., & Nurcahyo, G. W. (2023). Perbandingan algoritma C4.5 dan Naïve Bayes dalam prediksi kelulusan mahasiswa. Jurnal CoSciTech (Computer Science and Information Technology), 4(1), 193–199. https://doi.org/10.37859/coscitech.v4i1.4755
  17. Rudianto, R., Wahyudi, T., & Handayani, P. (2022). Perbandingan akurasi C4.5 dan Naive Bayes untuk evaluasi kinerja karyawan PT Catur Sentosa Adiprana. Jurnal Sistem Informasi dan Ilmu Komputer Prima (JUSIKOM PRIMA), 5(2), 61–66. https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2350
  18. Supriyadi, A. (2023). Perbandingan algoritma Naïve Bayes dan decision tree (C4.5) dalam klasifikasi dosen berprestasi. Generation Journal, 7(1), 39–49. https://doi.org/10.29407/gj.v7i1.19797
  19. Widaningsih, S. (2019). Perbandingan metode data mining untuk prediksi nilai dan waktu kelulusan mahasiswa prodi teknik informatika dengan algoritma C4.5, Naïve Bayes, k-NN, dan SVM. Jurnal Tekno Insentif, 13(1), 16–25. https://doi.org/10.36787/jti.v13i1.78
  20. Widayati, Y. T., Prihati, Y., & Widjaja, S. (2021). Analisis dan komparasi algoritma Naïve Bayes dan C4.5 untuk klasifikasi loyalitas pelanggan MNC Play Kota Semarang. Jurnal Transformatika, 18(2), 161–171. https://doi.org/10.26623/transformatika.v18i2.2541
  21. Yahya, S. T. M. K. (2022). Data mining. CV Jejak (Jejak Publisher). https://books.google.co.id/books?id=0J2mEAAAQBAJ.
Similar Articles

Articles sharing related keywords and machine learning classifications:

Implementasi Algoritma Naïve Bayes Terhadap Data Penjualan untuk Mengetahui Pola Pembelian Konsumen pada Kantin
Vol. 5 No. 1 (2024) • DOI: 10.35870/jimik.v5i1.407
Implementasi Algoritma C4.5 dan Naive Bayes untuk Analisis Sentimen Publik terhadap Platform Live Streaming Dukov di Indonesia
Vol. 5 No. 3 (2024) • DOI: 10.35870/jimik.v5i3.1011
Penerapan Algoritma Naive Bayes dalam Sistem Analisis Sentimen Media Sosial X terhadap Film Agak Laen
Vol. 6 No. 3 (2025) • DOI: 10.63447/jimik.v6i3.1608
Implementasi Metode Bagging dan Teknik Discretization pada Algoritma Machine Learning untuk Memprediksi Status Stunting pada Anak Balita
Vol. 6 No. 1 (2025) • DOI: 10.35870/jimik.v6i1.1279
Analisa Sentimen Drama Korea Melalui Media Sosial X dengan Menggunakan Algoritma Naïve Bayes
Vol. 5 No. 3 (2024) • DOI: 10.35870/jimik.v5i3.997
Most read articles by the same author(s)

Other papers published by author(s) in this journal:

Analisis Penerimaan Pengguna Aplikasi Kipin School Menggunakan Metode Technology Acceptance Model (TAM)
Yuma Akbar, Yuliana Bachtiar • Vol. 5 No. 3 (2024)
Analisis Efektivitas Keamanan Jaringan Layer 2: Port Security, VLAN Hopping, DHCP Snooping
Muhammad Dzaky Nurfaishal, Yuma Akbar • Vol. 5 No. 3 (2024)
Sistem Monitoring Kondisi Kelembapan dan pH Tanah Berbasis Internet of Things (IoT) untuk Tanaman Hias
Bayu Adi Cahyono, Yuma Akbar • Vol. 6 No. 3 (2025)
Analisa Sentimen Pada Media Sosial “X” Pencarian Keyword ChatGPT Menggunakan Algoritma K-Nearest Neighbors (KNN)
Yuma Akbar, Anggit Nur Hannaa Regita, Sugiyono, Tri Wahyudi • Vol. 5 No. 3 (2024)
Manajemen Bandwidth Jaringan dengan Metode Per Connection Queue (PCQ) Pada Mikrotik di Masterpiece Family Karaoke Tebet
Imam Dzikrilloh Anwar, Yuma Akbar • Vol. 5 No. 3 (2024)