Sistem Prediksi Kelayakan Rental Mobil Menggunakan Algoritma C4.5
DOI:
https://doi.org/10.30865/jurikom.v8i6.3740Keywords:
Prediction, Rental, Feasibility, Waterfall, Algorithm C4.5Abstract
The purpose of this study is to build a system that can predict the feasibility of prospective car rental service users. It is not easy for car rental service providers to determine which consumers can use car rental services, with procedures that are still manual and it is difficult to obtain user data information. To be able to predict the feasibility of car rental service users, it is necessary to use an information system that can predict whether users are eligible or not. This research uses the waterfall system development method. The waterfall method has several stages, including analysis, design, coding and testing. The results of the research obtained from the feasibility test of the feasibility prediction system for car rental service users using algorithmic 4.5 that the results of the alpha test were tested for the feasibility of the system with an overall value of 3.6 by system that has been made feasible to useReferences
E. Sugiatna, A. M. Ibrahim, and I. Abdul Hadi, “Implementasi Algoritma Klasifikasi C4.5 Untuk Memprediksi Kelayakan Pembelian Kendaraan,†JTIM J. Teknol. Inf. dan Multimed., vol. 1, no. 2, pp. 124–132, 2019, doi: 10.35746/jtim.v1i2.26.
N. Hasan, “APLIKASI PENYEWAAN MOBIL BERBASIS WEBSITE ( Studi Kasus pada Rental Mobil Lotus Purworejo ),†Bianglala Inform., vol. 7, no. 2, pp. 117–121, 2019.
Y. Heriyanto, “Perancangan Sistem Informasi Rental Mobil Berbasis Web Pada PT.APM Rent Car,†J. Intra-Tech, vol. 2, no. 2, pp. 64–77, 2018.
R. H. Kusumodestoni and S. Sarwido, “Komparasi Model Support Vector Machines (Svm) Dan Neural Network Untuk Mengetahui Tingkat Akurasi Prediksi Tertinggi Harga Saham,†J. Inform. Upgris, vol. 3, no. 1, 2017, doi: 10.26877/jiu.v3i1.1536.
C. A. Sugianto, “Penerapan Teknik Data Mining Untuk Menentukan Hasil Seleksi Masuk Sman 1 Gibeber Untuk Siswa Baru Menggunakan Decision Tree,†pp. 49–54, 2017, doi: 10.31227/osf.io/vedu7.
K. Rosita Dewi and K. Farouq Mauladi, “Analisa Algoritma C4.5 untuk Prediksi Penjualan Obat Pertanian di Toko Dewi Sri,†Semin. Nas. Inov. Teknol., vol. 25, no. 2020, pp. 2580–3336, 2020.
Rosa A. S & M. Shalahuddin, Rekayasa Perangkat Lunak Terstruktur dan Berorientasi Objek. Bandung: Informatika, 2015.
S. Masripah and L. Ramayanti, “Penerapan Pengujian Alpha Dan Beta Pada Aplikasi Penerimaan Siswa Baru,†Swabumi, vol. 8, no. 1, pp. 100–105, 2020, doi: 10.31294/swabumi.v8i1.7448.
A. Rosano, “Pengujian Alpha dan Beta pada Pengembangan Sistem Internet Banking (Ibank) PT Bank Mega, Tbk,†REMIK (Riset dan E-Jurnal Manaj. Inform. Komputer), vol. 3, no. 2, p. 34, 2019, doi: 10.33395/remik.v3i2.10096.
