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All Journal ComEngApp : Computer Engineering and Applications Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIN (Jurnal Online Informatika) Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputasi Sebatik Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Informatika dan Rekayasa Elektronik Jurnal Mnemonic Bubungan Tinggi: Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Jurnal Teknik Informatika (JUTIF) Journal of Data Science and Software Engineering Jurnal Informatika Polinema (JIP) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Rudy Herteno
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Prediksi Churn Pelanggan Telekomunikasi dengan Optimalisasi Seleksi Fitur dan Tuning Hyperparameter pada Algoritma Klasifikasi C4.5 Antoh, Soterio; Herteno, Rudy; Budiman, Irwan; Kartini, Dwi; Mazdadi, Muhammad Itqan
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp60-67

Abstract

In the telecommunications industry, predicting customer churn is crucial for maintaining business sustainability. High churn rates can negatively impact profitability, necessitating effective retention strategies. This research aims to enhance the accuracy of telecommunications customer churn prediction by optimizing the C4.5 classification algorithm through feature selection and hyperparameter tuning. The methods used include Information Gain for feature selection and hyperparameter tuning with Random Search and Grid Search. This study utilizes the Telco Customer Churn dataset from Kaggle, split into an 80:20 ratio for training and testing data. Six approaches are applied: (1) the basic C4.5 algorithm, (2) C4.5 with Information Gain, (3) C4.5 with Random Search, (4) C4.5 with Grid Search, (5) C4.5 with a combination of Information Gain and Random Search, and (6) C4.5 with a combination of Information Gain and Grid Search. The results indicate that the C4.5 algorithm alone achieves an accuracy of 74.09%, while applying Information Gain increases accuracy to 78.42%. Hyperparameter tuning with Random Search achieves the highest accuracy of 80.05%, whereas Grid Search reaches 77.71%. Combining Information Gain with Random Search results in an accuracy of 78.99%, while combining Information Gain with Grid Search yields an accuracy of 78.85%. These findings suggest that hyperparameter tuning using Random Search significantly improves accuracy compared to other methods, while Information Gain feature selection does not have a significant impact on performance in this context.
Co-Authors Abdullayev, Vugar Achmad Zainudin Nur Adawiyah, Laila Adela Putri Ariyanti Aflaha, Rahmina Ulfah Ahmad Juhdi Ahmad Rusadi Akhtar, Zarif Bin Al Ghifari, Muhammad Akmal Al Habesyah, Noor Zalekha Alfando, Muhammad Alvin Andi - Farmadi Andi Farmadi Andi Farmadi Andi Farmadi Angga Maulana Akbar Antoh, Soterio Arifin Hidayat Aryanti, Agustia Kuspita Athavale, Vijay Anant Azizah, Azkiya Nur Azizah, Siti Roziana Bahriddin Abapihi Dendy Fadhel Adhipratama Dendy Dodon Turianto Nugrahadi Dwi Kartini Dwi Kartini, Dwi Emma Andini Faisal, M. Reza Fatma Indriani Fauzan Luthfi, Achmad Fayyadh, Muhammad Naufaldi Febrian, Muhamad Michael Friska Abadi Ghinaya, Helma Hermiati, Arya Syifa Huynh, Phuoc-Hai Irwan Budiman Irwan Budiman Itqan Mazdadi, Muhammad Junaidi, Ridha Fahmi Lilies Handayani Lisnawati Lumbanraja, Favorisen R M Kevin Warendra Mariana Dewi Miftahul Muhaemen Muflih Ihza Rifatama Muhammad Alkaff Muhammad Anshari Muhammad Azmi Adhani Muhammad Denny Ersyadi Rahman Muhammad Itqan Mazdadi Muhammad Noor Muhammad Reza Faisal, Muhammad Reza Muhammad Rizky Mubarok Muhammad Sholih Afif Muhammad Syahriani Noor Basya Basya Muliadi Muliadi MULIADI -, MULIADI Muliadi Muliadi Muliadi Muliadi Muliadi Muliadi Nabella, Putri Nafis Satul Khasanah Ngo, Luu Duc Noor Hidayah Noryasminda Nur Hidayatullah, Wildan Nurdiansyah Nurdiansyah Nursyifa Azizah Oni Soesanto Pratama, Muhammad Yoga Adha Putri Nabella Putri, Nitami Lestari Radityo Adi Nugroho Rahmad Ubaidillah Rahmat Ramadhani Raidra Zeniananto Ramadhan, As`'ary Reza Faisal, Mohammad Rizky Ananda, Muhammad Rozaq, Hasri Akbar Awal Saputro, Setyo Wahyu Saragih, Triando Hamonangan Setyo Wahyu Saputro Siti Aisyah Solechah Suci Permata Sari Suryadi, Mulia Kevin Tri Mulyani Ulya, Azizatul Vina Maulida, Vina Wahyu Ramadansyah Wahyu Saputro, Setyo Zaini Abdan Zamzam, Yra Fatria