PERBANDINGAN ALGORITMA NAÏVE BAYES DAN C4.5 DALAM MENENTUKAN TINGKAT PENJUALAN MOTOR HONDA

Penulis

  • Donni Prabowo Program Studi Informatika, Universitas Amikom Yogyakarta Penulis
  • Firman Hidayat Program Studi Informatika, Universitas Amikom Yogyakarta Penulis
  • Gagah Gumelar Program Studi Informatika, Universitas Amikom Yogyakarta Penulis
  • Dewa Qintoro Program Studi Informatika, Universitas Amikom Yogyakarta Penulis
  • Aji Setiawan Program Studi Informatika, Universitas Amikom Yogyakarta Penulis

DOI:

https://doi.org/10.61805/fahma.v16i3.91

Kata Kunci:

honda best-selling motorcycle, naïve bayes algorithm, classification, algorithm C45

Abstrak

At this time, the mobility of the community activities will be very high. The mobility of the high society will have an impact to the transportation needs are increasing. Coupled with the opportunities of the community towards taxi online, will have an impact on the number of sales of motorcycles in Indonesia. In this research we will classify the sales data of the motor with rapidminer software by applying two algorithm: Algorithm C45, and Naive Bayes. The second algorithm is a method of classification based on statistics and probability. Two of the above algorithms compared the rate of speed in the best-selling motorcycle classification of data, to get the decision tree the best selling motorcycle was purchased by the society, and should be in more production. Research using Algorithm C45 motor with the lowest prices is the best selling, than Algorithm Naïve Bayes where the best selling honda motor is a type of Scooter, medium of CC, and low price.

Unduhan

Data unduhan tidak tersedia.

Referensi

Azwanti, Nurul, 2018, Analisa Algoritma C4.5 Untuk Memprediksi Penjjualan Motor pada PT. Capela Dinamik Nusantara Cabang Muka Kuning, Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer, Vol.13 No. 1 Februari 2018 Hal. 33-37.

Supriyanti, W., Kusrini., dan Amborowati, A., 2016, Perbandingan Kinerja Algoritma C4.5 dan Naïve Bayes Untuk Ketepatan Pemilihan Konsentrasi Mahasiswa, Jurnal INFORMA Politeknik Indonusa Surakarta, ISSN : 2442-7942, Vol 1 No. 3 Tahun 2016.

Georgina, Obuandike N., Alhasan, John, B., Abdullahi M., 2017, Clasification of Crime Data for Crime Control Using C4.5 and Naïve Bayes Techniques, International Journal of Mathematiccal Analysis And Optimization: Theory And Aplications, Vol. 2017,PP. 139-153.

Harahap, F., 2015, Penerapan Data Mining Dalam Memprediksi Pembelian Cat, Konferensi Nasional Sistem & Informatika STMIK STIKOM Bali, Hal 856-862.

Ardiansyah, M. S., Fitri, Mustika L. S., Sapta, Andy, 2018, Analisa Kinerja Algoritma C4.5 Dalam Memprediksi Hasil Belajar, Journal of Science and Social Research, ISSN 2615-3262 (Online), February 2018 I(1): 73-79.

Edyson, Thomas T., Nova, Febri L., 2018, Analisa Pengaruh Padding Citra Bitmap 24 bit Terhadap Kebutuhan Memori Penyimpanan, Jurnal Fahma, Vol 16 No. 2 Mei 2018

Unduhan

Diterbitkan

28-09-2018

Terbitan

Bagian

Artikel

Cara Mengutip

PERBANDINGAN ALGORITMA NAÏVE BAYES DAN C4.5 DALAM MENENTUKAN TINGKAT PENJUALAN MOTOR HONDA. (2018). Jurnal Informatika Komputer, Bisnis Dan Manajemen, 16(3), 67-76. https://doi.org/10.61805/fahma.v16i3.91

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