Data Mining Analysis Using Bayes Method to Measure Damage Rate of Motor Engines
Analisa Data Mining Menggunakan Metode Bayes Untuk Mengukur Tingkat Kerusakan Mesin Motor
Abstract
Workshop is a business that is engaged in the automotive business such as a medium-sized business down the workshop providing complete motorcycle spare parts, not only that the workshop in general also serves motorcycle service and accepts light and heavy service for all types of motorcycle brands. Hendri Motor is one of the workshops in Piayu which already has many customers who receive motorcycle service every month in Batam City. The level of motor damage that can be categorized as motor damage is mild damage, moderate damage, or severe damage because most users prefer to change oil once a month, in fact there are also those who have passed the specified time period to replace oil, for example it can be up to 2 months to 5 the month does not replace new oil. Analysis is needed to see the pattern of consumer data so that it can produce motor service probabilities that will later be useful for categorizing in light or heavy service. From so much consumer data, Data Mining is performed using the Naïve Bayes. The results of this mining activity are expected to provide a decision to see the prediction patterns of motor service consumer behavior
References
N. Azwnti, “Analisa Algoritma C4.5 Untuk Memprediksi Penjualan Motor Pada Pt. Capella Dinamik Nusantara Cabang Muka Kuning,” Inform. Mulawarman J. Ilm. Ilmu Komput., 2018.
M. Idris, “Implementasi Data Mining Dengan Algoritma Naïve Bayes Untuk Memprediksi Angka Kelahiran,” J. Pelita Inform., pp. 160–167, 2019.
N. Hikmah and L. Utammimah, “Pemanfaatan Metode Naïve Bayes Classifier dalam Pembuatan Sistem Pakar untuk Diagnosa Penyakit Kelamin,” J. ENERGY, vol. 7, no. 2, pp. 50–55, 2017.
A. Rachman and S. Wasiyanti, “Pengukuran Kualitas E-Commerce Shopee Terhadap Kepuasan Pengguna,” Paradig. J. Komput. dan Inform. Univ. Bina Sarana Inform., vol. 21, no. 2, pp. 143–148, 2019.
S. Kosasi and I. D. A. Eka Yuliani, “Penerapan Rapid Application Development Pada Sistem Penjualan Sepeda Online,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 6, no. 1, p. 27, 2015.
W. Hidayat, N., Arif, A., Setiawan, M. Y., & Afnison, “Peningkatan Pengetahuan dan Keterampilan Pemuda Putus Sekolah Melalui Pelatihan Perawatan Berkala Sepeda Motor,” J. Inov. Vokasional Dan Teknol., pp. 83–90, 2018.
D. Hartini, “Implementasi Data Mining Rought Set,” p. 97.
I. Haqiqi, M. F., Syauqy, D., & Arwani, “Sistem Pengecek Kelayakan Pakai Oli Motor Matic Berdasarkan Parameter Warna dan Viskositas Menggunakan Metode Bayes,” J. Pengemb. Teknol. Inf. Dan Ilmu Komput., vol. 3, no. 4, 2019.
M. J. F. Laia, D., Buulolo, E., & Sirait, “Implementasi Data Mining Untuk Memprediksi Pemesanan Driver Go-Jek Online Dengan Menggunakan Metode Naive Bayes (Studi Kasus: Pt. Go-Jek Indonesia),” KOMIK (Konferensi Nas. Teknol. Inf. Dan Komputer), pp. 434–439, 2018.
H. T. SIHOTANG, “Sistem Pakar Untuk Mendiagnosa Penyakit Pada Tanaman Jagung Dengan Metode Bayes,” vol. 3, no. 1, 2019.
S. F. Utami, “Penerapan Data Mining Algoritma Decision Tree Berbasis PSO,” Semin. Nas. Teknol. Komput. Sains SAINTEKS, pp. 677–681, 2020.
Copyright (c) 2020 International Journal of Technology Vocational Education and Training
This work is licensed under a Creative Commons Attribution 4.0 International License.
