Analisis Prediksi Customer Churn Nasabah Bank dengan Algoritma Random Forest
DOI:
https://doi.org/10.30736/je-unisla.v11i1.1585Abstract
Tingkat churn nasabah yang tinggi merupakan tantangan serius bagi sektor perbankan karena berdampak pada pendapatan dan loyalitas jangka panjang. Penelitian ini bertujuan untuk meningkatkan akurasi klasifikasi churn nasabah bank menggunakan algoritma Random Forest serta mengidentifikasi faktor-faktor utama yang memengaruhi churn. Berbeda dengan penelitian terdahulu yang umumnya menggunakan konfigurasi standar, penelitian ini menerapkan Random Forest dengan penyesuaian parameter serta analisis feature importance untuk mengevaluasi dampak feature selection terhadap performa model. Dataset publik dari Kaggle yang terdiri dari 10.000 data nasabah digunakan dalam penelitian ini. Dua model Random Forest dibangun, yaitu model dengan seluruh fitur dan model dengan fitur terseleksi. Hasil evaluasi menunjukkan bahwa model tanpa feature selection menghasilkan akurasi tertinggi sebesar 86,7%, sementara penerapan feature selection tidak meningkatkan performa model. Faktor usia, jumlah produk, dan saldo rekening merupakan variabel paling berpengaruh terhadap churn. Hasil penelitian ini menegaskan keunggulan Random Forest dalam prediksi churn nasabah bank melalui pendekatan evaluatif terhadap feature selection serta memberikan kontribusi berupa analisis komparatif performa model yang dapat menjadi dasar pengambilan keputusan strategis dalam manajemen retensi nasabah.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Anindita Puspa Ayu Prayogi , Sucipto, Arie Nugroho
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Jurnal JE-UNISLA : Electronic Control, Telecomunication, Computer Information and Power System is licensed under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license. You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially. This license is acceptable for Free Cultural Works.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Copyright
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Creative Commons License
Jurnal JE-UNISLA : Electronic Control, Telecomunication, Computer Information and Power System by Universitas Islam Lamongan is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://jurnalteknik.unisla.ac.id/index.php/CVL/index
