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All Journal Dinamik Prosiding SNATIF Jurnal Edukasi dan Penelitian Informatika (JEPIN) Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Teknika: Engineering and Sains Journal InComTech: Jurnal Telekomunikasi dan Komputer Informatika : Jurnal Informatika, Manajemen dan Komputer METIK JURNAL Applied Technology and Computing Science Journal Journal of Computer System and Informatics (JoSYC) Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Journal of Intelligent Computing and Health Informatics (JICHI) GUYUB: Journal of Community Engagement Among : Jurnal Pengabdian Masyarakat TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora JUSTIFY : Jurnal Sistem Informasi Ibrahimy COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Nusantara Journal of Computers and its Applications Jurnal Informatika: Jurnal Pengembangan IT JAR'S (Journal of Advanced Research in Informatics) Proceeding Of International Conference On Education, Society And Humanity JOKI: Journal of Computing and Informatics SINAR: Sinergi Pengabdian dan Inovasi untuk Masyarakat Lingua Technica: Journal of Digital Literary Studies Lingua Technica: Journal of Digital Literary Studies Journal of Science and Engineering CODEX: Journal of Software Engineering Mumtaza: Journal of Community Engagement Journal of Artificial Intelligence
Yaqin, Moh. Ainol
Universitas Nurul Jadid
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Journal : journal of computer system and informatics josyc

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Prediksi Prediksi Perpindahan Pelanggan Pada Toko Online Menggunakan Metode Tree-Based Gradient Boosted Models Sholeha, Selfia Hafidatus; Faid, Mochammad; Yaqin, Moh. Ainol
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5215

Abstract

Customers are a critical asset to a company's success and ensuring their satisfaction is paramount. However, continuous churn can lead to reduced value flowing from customers, potentially jeopardizing a company's competitive advantage. Customer churn, where consumers choose products from other brands, is influenced by various factors such as promotion, price, product availability, and customer satisfaction levels. While much of the research on churn prediction is concentrated in the telecommunications, retail, and banking industries and only a few have conducted churn prediction research on online stores. This research aims to utilize data mining with a focus on machine learning algorithms, especially the tree-based gradient boosted models method that applies XGBoost, LightGBM, and CatBoost models, to predict customer churn in online stores. The research methodology involves data collection, data pre-processing, model selection and training, model evaluation, analysis and results. This research uses several libraries such as pandas library, numpy, matplotlib, and so on. The results of this study show that the XGBoost model achieved the highest accuracy in predicting customer churn, with an ROC curve of 0.66 and an accuracy value of 0.80032. The feature importance analysis highlights the gender variable as an important factor in model performance. This research contributes to improving customer service, minimizing churn, and ultimately increasing company profitability in the online store sector. Suggestions for future research include expanding data sources, testing with more evaluation metrics, exploring additional churn factors and comparing with other prediction methods for validation.
Co-Authors Abdul Karim Abdul Wahid Zaini Abdullah Abdullah Abdullah Abdullah Al Anis Abu Khaer, Abu Abu Tholib Abu Tholib Achmad Fawaid Ahmad Halimi Ahmad Hudawi As Ahmad Hudawi AS Ahmad Khairi Akhmad Ghasi Pathollah Amali, Fauzi Iqbal Ambaristi Hersita Milanguni Amtini, Laila Silvia Andi Wijaya Anggit Abdillah Ariyanto, Satria Agus Atika Atika Cahyuni Novia Cahyuni Novia Cindi Juliatin Astutik Darina, Arini Nuora Dewi Agustianingsi Diana Khotibi Esa Barlaman, Wage Fathorazi Nur Fajri Fathur Rizal Furqan, Moh Habibah Habibah Hanivia Novanda Hanum Lintang Siwi Suwignyo Hasbul Bahar Hidayatullah, Mahmud Holifah, Holifah Honainah Honainah Husna, Fatimatul Ifnakyah, Arin Jam’iyyatul Munawwaroh Khairi, Ahmad Khairi, Matlubul Khodijatul Qodriyah Khofiyatul Khofiyatul Kirana Yulia Rahma Laila Homisatun Awaliyah M Fadhilurrahman M Naveen Kumar M Naveen Kumar M.Saiful Rizal Mahbub Ali Mahfudz Mahfudz Maulidiansyah Milfin Zainul Asiqin Mochammad Faid Moh Jasri Muafi Muafi Nadiya Nadiya Nadiyah Nadiyah Novanda, Hanivia NUR HALIZAH Nurmalita Herdiana Purwanto, Zendi Ari Putri Eka Aliyatul Himma R. Moh. Dhalilul Faizin Rahman, Zainur Rifki Fajriyanti Sahro Rizki Febri Eka Pradani Rofiuddin, M. Seftilia Indah Maghfiroh Shiddiq Moh Shiddiq Windiarto Sholeha, Selfia Hafidatus Siti Lailatul Fitriyah Sudrianto sudriyanto sudriyanto Sukriyah, Toyyibatul Mukminatus Syafiih, M Tijaniyah Tijaniyah TIJANIYAH TIJANIYAH, TIJANIYAH Umikulsum Indah Lestari Ummi Lailatul Firdausi Wahab Sya’roni Wildana Dwi Lestari Winda Veronika Wulandari, Indah Ayu Zhalianti, Fina Nuralita