ALGORITMA C4.5 UNTUK MEMPREDIKSI PENGAMBILAN KEPUTUSAN MEMILIH DEPOSITO BERJANGKA

  • Hendri Mahmud Nawawi Ilmu Komputer STMIK Nusa Mandiri
  • Sri Rahayu Ilmu Komputer STMIK Nusa Mandiri
  • Muhammad Ja’far Shidiq Ilmu Komputer STMIK Nusa Mandiri
  • Jajang Jaya Purnama Ilmu Komputer STMIK Nusa Mandiri
Keywords: Deposits, Data Mining, C4.5 Algorithms

Abstract

Deposits are one form of investment offered by the Bank or other financial institutions with the nature of regulating and binding according to the rules set by the manager and the investor or commonly called investors. The advantage of being an investor is getting a fee or profit calculated based on the agreed time period at the beginning of the agreement. Whereas for investment fund managers can be used to advance and develop their business and business. Finding and determining potential customers is the first step to running a financial business in the form of this deposit, before the transaction decision is taken which is a favorable decision for both parties, investors or managers, one of the decision-making techniques can be done using Data Mining using the C4.5 Algorithm which is a structured decision-making technique based on input variables so that it can produce the most potential typical information for customers to participate in time deposits.

References

Amin, R. K., Indwiarti, & Sibaroni, Y. (2015). Implementation of decision tree using C4.5 algorithm in decision making of loan application by debtor (Case study: Bank pasar of Yogyakarta Special Region). 2015 3rd International Conference on Information and Communication Technology, ICoICT 2015, 0, 75–80. https://doi.org/10.1109/ICoICT.2015.7231400

Bao, X., & Guan, X. (2016). A Method of Predicting Crude Oil Output Based on RS-C4.5 Algorithm. Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016, (3), 63–66. https://doi.org/10.1109/ICISCE.2016.24

Dai, W., & Ji, W. (2014). A mapreduce implementation of C4.5 decision tree algorithm. International Journal of Database Theory and Application, 7(1), 49–60.

Nawawi, H. M., Rahayu, S., Shidiq, M. J., & Purnama, J. J. (2018). Laporan Akhir Penelitian: Algoritma C4.5 Untuk Memprediksi Pengambilan Keputusan Memilih Deposito Berjangka. Jakarta.

Santoso, B. T. (2011). ANALISA DAN PENERAPAN METODE C4.5 UNTUK PREDIKSI LOYALITAS PELANGGAN. Jurnal Ilmiah Fakultas Teknik, 10(1), 1–47.

Widayu, H., Darma, S., Silalahi, N., & Mesran. (2017). Data Mining Untuk Memprediksi Jenis Transaksi Nasabah Pada Koperasi Simpan Pinjam Dengan Algoritma C4.5. Issn 2548-8368, Vol 1, No(June), 7.

Wiharto, W., Kusnanto, H., & Herianto, H. (2016). Interpretation of clinical data based on C4.5 algorithm for the diagnosis of coronary heart disease. Healthcare Informatics Research, 22(3), 186–195. https://doi.org/10.4258/hir.2016.22.3.186

Wijaya, A. C., Hasibuan, N. A., & Ramadhani, P. (2018). Implementasi Algoritma C5 . 0 Dalam Klasifikasi Pendapatan Masyarakat ( Studi Kasus : Kelurahan Mesjid Kecamatan Medan Kota ). Informasi Dan Teknologi Ilmiah (INTI), 13, 192–198.

Yunus, M., Dahlan, H. S., & Santoso, P. B. (2014). SPK Pemilihan Calon Pendonor Darah Potensial dengan Algoritma C4.5 dan Fuzzy Tahani. Jurnal EECCIS, Vol. 8 No.(1), 47–54.
Published
2019-03-15
How to Cite
Nawawi, H., Rahayu, S., Shidiq, M., & Purnama, J. (2019). ALGORITMA C4.5 UNTUK MEMPREDIKSI PENGAMBILAN KEPUTUSAN MEMILIH DEPOSITO BERJANGKA. Jurnal Techno Nusa Mandiri, 16(1), 65-72. https://doi.org/10.33480/techno.v16i1.437
Article Metrics

Abstract viewed = 45 times
PDF downloaded = 31 times