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All Journal Jurnal Indonesia Sosial Teknologi Eduvest - Journal of Universal Studies Jeptira TIFDA : Journal Technology Information and Data Analytic
Mahardika, Bagus Tri
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Social Sciences

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Journal : TIFDA : Journal Technology Information and Data Analytic

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Perbandingan Algoritma Decision Tree dan K-Means Clustering Untuk Menentukan Penghargaan Terhadap Loyaltas Customer Mahardika, Bagus Tri; Prastowo, Donnie Varyasetya
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.82

Abstract

PT Tangguh Buana Roda Indonesia has difficulty in retaining loyal customers due to less than optimal customer management. This research proposes the use of a data mining-based system to categorize loyal customers using the K-Means and Decision Tree methods. The evaluation shows that the combination of K-Means and Decision Tree algorithms provides a higher average accuracy of 93.7175%. Compared to using Decision Tree alone which reached 92.8525% and K-Means which was only 91.667%. With the combination of these two algorithms, it is expected to support the awarding of loyal customers and strengthen the relationship between customers and companies. The system that has been created is web-based which will facilitate strategic planning to increase customer loyalty.
Co-Authors Ash'ari, Mochammad Fiqri Budiarjo, Wisnu Esye, Yendi Hasan, Albantani Meiditya Kurnianto, Atik NOVIANTI, EVA Prastowo, Donnie Varyasetya Siregar, Rolan Trisna Ardi Wiradinata