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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENDIDIKAN TAMBUSAI
Ramadhan, Hafid
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Computer Science & IT Social Sciences

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Comparison of Hierarchical, K-Means and DBSCAN Clustering Methods for Credit Card Customer Segmentation Analysis Based on Expenditure Level Ramadhan, Hafid; Abdan Kamaludin, Mohammad Rizal; Nasrullah, Muhammad Alfan; Rolliawati, Dwi
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.5790

Abstract

The amount of data from credit card users is increasing from year to year. Credit cards are an important need for people to make payments. The increasing number of credit card users is because it is considered more effective and efficient. The third method used today has a function to determine the effective outcome of credit card user scenarios. In this study, a comparison was made using the Hierarchical Clustering, K-Means and DBSCAN methods to determine the results of credit card customer segmentation analysis to be used as a market strategy. The results obtained based on the best silhouette coefficient score method is two cluster hierarchical clustering with 0.82322 score. Based on the best mean value customers are divided into two segments, and it is suggested to develop strategies for both segments.
Pemilihan Supplier Baterai Kendaraan Listrik Pada Selis Molis Hoki Store Menggunakan Metode Analysis Hierarchy Process (AHP) Ramadhan, Hafid; Valeria, Marsya; Firmansyah, Tegar Ferdian; Veorozzan, Rajendra Ikmal; Wijayanto, Sena
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Penelitian ini bertujuan untuk menentukan supplier baterai kendaraan listrik bagi Selis Molis Hoki Store menggunakan metode Analytic Hierarchy Process (AHP). Metode AHP dipilih karena kemampuannya mengorganisasi kriteria kompleks, seperti harga, kualitas, lokasi, dan layanan, dalam pengambilan keputusan yang terstruktur. Data penelitian diperoleh melalui wawancara dengan pemilik toko dan dianalisis menggunakan software Expert Choice. Hasil penelitian menunjukkan bahwa faktor harga memiliki bobot tertinggi (30%), diikuti oleh kualitas (25%), lokasi (25%), dan layanan (20%). Berdasarkan analisis, Supplier B terpilih sebagai alternatif terbaik dengan bobot tertinggi (0,213), diikuti oleh Supplier C (0,2108), dan Supplier E (0,2024). Hasil ini menunjukkan pentingnya efisiensi biaya dalam menentukan supplier, sekaligus menegaskan konsistensi hasil analisis dengan nilai rasio konsistensi (CR) sebesar 0,079 (< 0,1). Penelitian ini diharapkan memberikan kontribusi dalam optimalisasi proses pengadaan serta mendukung keberlanjutan bisnis kendaraan listrik di Indonesia.
Co-Authors Abdan Kamaludin, Mohammad Rizal Firmansyah, Tegar Ferdian Nasrullah, Muhammad Alfan Rolliawati, Dwi Valeria, Marsya Veorozzan, Rajendra Ikmal