C45 Algorithm for Motorcycle Sales Prediction On CV Mokas Rawajitu

Debby Alita, Setiawansyah Setiawansyah, Ade Dwi Putra

Abstract


CV Mokas Rawajitu is a company that sells various types of used motorbikes both in cash and on credit. In sales, the problem that occurs is the frequent occurrence of ups and downs in motorcycle sales due to the mismatch of the available motorcycle variants with consumer interests so that motorcycle sales often do not reach the target. The role of data mining is needed to analyze consumer purchasing patterns at CV Mokas Rawajitu which can produce information, namely knowing what types of motorbikes most in-demand by consumers are and which are most in-demand in the market by predicting using the C4.5 algorithm based on the sales transaction data they have. from previous periods. The study used a dataset of motorcycle sales at CV Mokas Rawajitu from 2017-2019 with a total data volume of 1,411 data. The attributes used are the motorbike category, the motorbike brand, the motorbike price, and the year of production. The tools used in this research are Rapid Miner. The results of the application of the C4.5 Algorithm can be used as a prediction of sales at CV Mokas Rawajitu because the results of the accuracy of testing data and models using 9-Fold Cross Validation reach a value of 87.95% where the 9th fold reaches the highest accuracy value with a Sensitivity level of 97, 15%, 69.05% Specificity, 86.57% Precision, 12.05% Error (Error Rate) and 30.95% False Positive Rate.

Keywords


C45 Algorithm, Cross Validation, Rapid Miner, Prediction, Motorcycle Sales

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References


C. Rygielski, J.-C. Wang, and D. C. Yen, “Data mining techniques for customer relationship management,” Technol. Soc., vol. 24, no. 4, pp. 483–502, 2002.

B. Bakhshinategh, O. R. Zaiane, S. ElAtia, and D. Ipperciel, “Educational data mining applications and tasks: A survey of the last 10 years,” Educ. Inf. Technol., vol. 23, no. 1, pp. 537–553, 2018.

S. D. Hapid, M. I. Dzulhaq, and T. Mulyono, “Sistem Pendukung Keputusan Penyeleksian Supplier Bahan Produksi Dengan Metode Simple Additive Weighting (SAW),” vol, vol. 10, pp. 33–37, 2020.

B. Novianti, T. Rismawan, and S. Bahri, “Implementasi Data Mining Dengan Algoritma C4. 5 Untuk Penjurusan Siswa (Studi Kasus: Sma Negeri 1 Pontianak),” Coding J. Komput. dan Apl., vol. 4, no. 3, 2016.

J. Eska, “Penerapan Data Mining Untuk Prediksi Penjualan Wallpaper Menggunakan Algoritma C4. 5,” 2018.

P. Purwadi, “Implementasi Data Mining Untuk Memprediksi Pola Pembelian Sepeda Motor Pada Showroom CV. Viva Mas Motors Dengan Metode Algoritma C4. 5,” J. Sist. Inf. Kaputama, vol. 2, no. 2, 2018.

N. Azwanti, “Analisa Algoritma C4. 5 Untuk Memprediksi Penjualan Motor Pada Pt. Capella Dinamik Nusantara Cabang Muka Kuning,” Inform. Mulawarman J. Ilm. Ilmu Komput, vol. 13, no. 1, p. 33, 2018.

J. Suntoro, Data Mining: Algoritma dan Implementasi dengan Pemrograman PHP. Elex Media Komputindo, 2019.

A. N. Khormarudin, “Teknik Data Mining: Algoritma K-Means Clustering,” J. Ilmu Komput, pp. 1–12, 2016.

C. B. Andrianto, K. Kusrini, and H. Al Fatta, “Analisis Sistem Pendukung Keputusan Penerima Beasiswa Di Smp Muhammadiyah 2 Kalasan,” Respati, vol. 12, no. 34, 2017.

J. S. D. Raharjo, D. Damiyana, and L. Steven, “Perancangan sistem pakar diagnosa penyakit jantung dengan metode forward chaining berbasis android,” J. Sisfotek Glob., vol. 7, no. 2, 2017.

R. Tullah, S. M. Mustafa, and A. Rochim, “Sistem Pakar Pendeteksi Penyakit Diabetes Mellitus Menggunakan Algoritma Fuzzy Logic Takagi Sugeno Kang,” J. SISFOTEK Glob., vol. 9, no. 2, 2019.

L. Elvitaria, “Memprediksi Tingkat Peminat Ekstrakurikuler pada Siswa SMK Analisis Kesehatan Abdurrab Menggunakan Algoritma C4. 5 (Studi Kasus: SMK Analis Kesehatan Abdurrab),” Rabit J. Teknol. dan Sist. Inf. Univrab, vol. 2, no. 2, pp. 110–124, 2017.

D. Alita, Y. Fernando, and H. Sulistiani, “Implementasi Algoritma Multiclass SVM pada Opini Publik Berbahasa Indonesia di Twitter,” J. Tekno Kompak, vol. 14, no. 2, pp. 86–91, 2020.

R. Agusli, L. F. Gustomi, and G. Prasetyo, “Sistem Penunjang Keputusan Dalam Pemilihan Siswa Berprestasi Menggunakan Metode Promethee,” J. SISFOTEK Glob., vol. 9, no. 1, 2019.

E. Prasetyo, “Data mining mengolah data menjadi informasi menggunakan matlab,” 2014.




DOI: http://dx.doi.org/10.38101/sisfotek.v11i2.392

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