OPTIMALISASI SISTEM REKOMENDASI PENYEWAAN TRUK MENGGUNAKAN CONTENT BASED FILTERING
Abstract
In general, people do not have information in choosing the type of truck based on the load requirements and the type of goods to be transported when renting a truck. The high risk of accidents usually occurs due to overcapacity, vehicle mismatch with needs. Precisely determining the type of logistics fleet can now be accommodated through a web-based recommendation system equipped with a direct booking module. Through this platform, users can specify vehicles specifically based on load parameters, such as weight capacity and commodity category. In its development, the Waterfall methodology was systematically applied, encompassing the stages of needs analysis, system design, program code writing, testing, and periodic maintenance. The accuracy of this system was evaluated using the Cosine Similarity algorithm . Based on the trial results, the system successfully produced a very high level of recommendation similarity, with a coefficient value reaching 0.9487. The implementation of this technology has proven to be able to optimize the accuracy of fleet selection, reduce rental process time, and minimize security risks during the logistics distribution process
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References
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[13] U. Ungkawa, D. Rosmala, and F. Aryanti, “Pembangunan Aplikasi Travel Recommender dengan Metode Case Base Reasoning,” Jurnal Informatika Itenas, vol. 4, no. 2, 2013, [Online]. Available: https://lib.itenas.ac.id/kti/?p=2107
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[21] L. H. Aljihadu, “Sistem Rekomendasi Wisata Kuliner di GunungKidul Menggunakan Metode Content-Based Filtering,” Jurnal Informatika dan Teknik Elektro Terapan, vol. 13, no. 1, pp. 1435–1444, 2025, doi: 10.23960/jitet.v13i1.5955.
[22] Y. Wahyudin and D. N. Rahayu, “Analisis Metode Pengembangan Sistem Informasi Berbasis Website: A Literatur Review,” Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi, vol. 15, no. 3, pp. 26–40, 2020, doi: 10.35969/interkom.v15i3.74.
[23] L. M. Rompas, “Penerapan Teknologi Pada Sistem Informasi Manajemen Proyek Sistem Informasi Kontraktor Dan Konsultan (Studi Kasus Kota Manado),” TEKNO, vol. 18, no. 74, pp. 101–112, 2020, [Online]. Available: https://ejournal.unsrat.ac.id/v3/index.php/tekno/article/view/28239
[24] N. Noor Kamala Sari, R. Priskila, and P. Bagus Adidyana Anugrah Putra, “Implementasi Content-Based Filtering Menggunakan TF-IDF dan Cosine Similarity untuk Sistem Rekomendasi Resep Masakan,” Jurnal Teknologi Informasi (JTI), vol. 18, no. 1, 2024, doi: 10.47111/JTI.
[25] “Berbagai Sumber, “Data Kecelakaan Truk di Indonesia (2020-–2024),” Portal Berita Online Indonesia. Accessed:” [Online]. Available: https://www.detik.com/jatim/berita/d-6264700/kecelakaan-maut-truk-trailer-di-bekasi-10-tewas-dan-20-luka.
Published
2026-06-29
How to Cite
FITRIYANI, Aida; KHALIDA, Rakhmi; LUBIS, Hendarman.
OPTIMALISASI SISTEM REKOMENDASI PENYEWAAN TRUK MENGGUNAKAN CONTENT BASED FILTERING.
Journal of Information System, Informatics and Computing, [S.l.], v. 10, n. 1, p. 292-307, june 2026.
ISSN 2597-3673.
Available at: <https://journal.stmikjayakarta.ac.id/index.php/jisicom/article/view/2452>. Date accessed: 30 june 2026.
doi: https://doi.org/10.52362/jisicom.v10i1.2452.
Section
Articles
This work is licensed under a Creative Commons Attribution 4.0 International License.
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