Penerapan Data Mining Klasifikasi Pada Calon Pelanggan Baru Indihome dengan C.45


  • Arfandi Arfandi STIKOM Tunas Bangsa, Pematangsiantar
  • Agus Perdana Windarto STIKOM Tunas Bangsa, Pematangsiantar
  • Ilham Syahputra Saragih STIKOM Tunas Bangsa, Pematangsiantar


Classification, Data Mining, C4.5 Algorithm, Indihome


Indihome customers are people who are buyers of products that have been made and marketed by a company, where this person not only buys the product once but repeatedly. Meanwhile, Prospective Indihome customers are those who have not become your customers (buyers/service users) but are considered to have the opportunity to become customers in the near future or in the future. An algorithm is needed to classify indihome's new prospective customers so that there is no loss between the two parties. The C4.5 algorithm was chosen because it is able to classify new prospective customers of Indihome by using the rapid miner application and the calculation using Microsoft Excel. From the calculations using the two applications, the results obtained include: If Income <2000000 and Type of House = Contract, then the result is Not Eligible {Eligible = 0 and Not Eligible = 7}and the result is feasible, namely the rule If Employment = Self Employed and Income> 2000000 then the result is Eligible (Eligible = 54 and Not Eligible = 0)


A. H. Nasrullah, “Penerapan Metode C4.5 untuk Klasifikasi Mahasiswa Berpotensi Drop Out,” ILKOM Jurnal Ilmiah, vol. 10, no. 2, p. 244, 2018, doi: 10.33096/ilkom.v10i2.300.244-250.

Y. S. Luvia, A. P. Windarto, S. Solikhun, and D. Hartama, “Penerapan Algoritma C4.5 Untuk Klasifikasi Predikat Keberhasilan Mahasiswa Di Amik Tunas Bangsa,” Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika), vol. 1, no. 1, p. 75, 2017, doi: 10.30645/jurasik.v1i1.12.

Muharto and A. Ambarita, “Metode Penelitian sistem informasi.” deepublish, p. 151, 2016.

Y. iqbal maulana and Hendri, “Memprediksi Minat Pelanggan Membeli Produk Sepatu Menggunakan Metode Decision Tree Pada PT. Zoelindo Elite Anugerah,” Sentra Penelitian Engineering dan Edukasi, vol. 10, no. 4, p. 70, 2018.

Asmira, “Penerapan Data Mining untuk Mengklasifikasi Pola Nasabah Menggunakan Algoritma C4,5 pada Bank BRI Unit Andounohu Kendari,” Jurnal Sistem Komputer dan Sistem Informasi, vol. 1, no. 1, pp. 22–28, 2019.