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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL MEDIA INFORMATIKA BUDIDARMA ILKOM Jurnal Ilmiah JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Teknologi Terpadu Journal of System and Computer Engineering Jurnal Informatika Terpadu Global Abdimas: Jurnal Pengabdian Masyarakat Sentra Dedikasi: Jurnal Pengabdian Masyarakat Journal Pharmacy and Application of Computer Sciences Jurnal Informatika: Jurnal Pengembangan IT Advances in Computer System Innovation Journal (ACSI Journal)
Firman Aziz
Universitas Pancasakti Makassar, Indonesia
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Journal : JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP)

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Analisis Perilaku Pelanggan menggunakan Metode Ensemble Logistic Regression jeffry -; Syahrul Usman; Firman Aziz
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4258

Abstract

Customer behavior analysis is crucial for companies, especially Small and Medium Enterprises (SMEs), to make strategic decisions. Through customer behavior analysis, patterns of customer behavior in purchasing a product or service can be identified. This provides insights into preferences and the right strategies to maintain or increase customer loyalty. This research aims to analyze customer behavior using the ensemble logistic regression method. Data was collected from the company's customer database over the last 5 years. Customer behavior is characterized by gender, age, and the preferred vehicle transmission type. The ensemble logistic regression method was implemented to improve model accuracy. The results show that the ensemble technique can enhance the accuracy of the Logistic Regression method. Model accuracy significantly increased with boosting, achieving an accuracy of 76%, while the model with bagging achieved an accuracy of 75%.
Co-Authors Ahmad Sukarna Syahrir Akbar Taufik Ali Akbar Velayaty Amri, Nur Fadhila Andi Merdewiningsi Andi Nurilmi Adriana Andyka Wahab Anggun Kusumawardhani Anirwan Anirwan Armin Lawi Benny L.E.P Benny Leonard Enrico Panggabean Dhilan Sasmita Faisal Rahman Farid Fani Temarwut Firmansyah Firmansyah Firmansyah Hasriani Hasriani Hechmi SHILI Hendra Umar Imran Iskandar Ishak, Pertiwi Jeffry jeffry jeffry - Jeffry Jeffry Jeffry Jeffry Kiki Resqy Amelia Kurnia Yahya Lutfi Budi Ilmawan M Rezky Armansyah M Rezky Armansyah Mardewi Mardewi Mardewi Mardewi Muhammad Arfah Asis Muhammad Lutfi Muhammad Rijal Muhammad Rijal Nur Ayu Asrhi Nur Ayu Asrhi Nur Hamadani Nur Nur Hamdani Nur Nurafni Shahnyb Nuru Yarkuran Nurul Fathanah Mustamin Rahmat Fuadi Syam Rohmah Nur Hidayah Satar Satar Sitti Arni Sofyan Sofyan Sofyan Sofyan Sustrin Abasa Syahrul Usman Syahrul Usman Syahrul Usman Syahrul Usman Usman, Syahrul Wungo, Supriyadi La Zulkarnain Zulkarnain