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Christian , Ade
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Algoritma C4.5 untuk Memprediksi Loyalitas Konsumen Pada PT. HIBA UTAMA Apriana, Veti; Fauziah , Sifa; Yani , Ahmad; Supriyatna , Adi; Christian , Ade; Sumarna , Sumarna; Fahmi , Muhammad
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/q0emcg44

Abstract

HIBA UTAMA is a company engaged in the transportation sector or often also called PO (Otobus Company) a company that is managed and operated to provide bus rental services and provide convenience to its consumers. The existence of the company has a significant role in providing transportation for consumers to travel and provide comfort and safety on the way. Competition that occurs makes companies vying to provide the best service to consumers. On the other hand consumers are increasingly difficult to understand. Satisfied consumers are not necessarily going to rent again and loyal consumers are not necessarily satisfied with the services provided. Most companies measure consumer satisfaction, but only a few assess customer loyalty and the results of PT. HIBA UTAMA helps increase consumer loyalty. Researchers apply the C4.5 algorithm to predict consumer loyalty at PT. HIBA UTAMA. The variables used are tenant period, rental scale, compliance, tenant loyalty, based on the accuracy results reaching 81%, which shows the C4.5 algorithm is suitable for predicting company customer loyalty.
Sistem Pendukung Keputusan Kelayakan Kredit Pada PT.BPR DP TASPEN Dengan Metode TOPSIS Indriani , Karlena; Sumanto , Sumanto; Christian , Ade; Ahmad Yani , Ahmad Yani; Ruli , Ahmad Rais; Marita , Lita Sari
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/q6t2ed19

Abstract

This study focuses on analyzing the feasibility of pension loan applicants for state civil servants at PT. BPR DP TASPEN, with a focus on the use of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as an alternative analysis method. Previously, PT. BPR DP TASPEN uses a subjective evaluation method to assess the feasibility of loan applicants, which leads to potential risks and errors in the analysis. In this study, the authors recommend the use of TOPSIS as a support decision-making system to standardize the analytical process. TOPSIS was chosen for its efficiency in reducing the calculation time and ease of implementation. This method uses criteria and alternatives to calculate, produces the best alternative based on a weighted bobot, and provides the final decision. The results of the study indicate that TOPSIS provides a good solution for determining the feasibility of pension loan applicants. By considering criteria such as age, pension, debt, bank loan, health history, and income, only seven out of 40 loan applicants met the best criteria, which were close to the ideal positive solution. The selected applicants were recommended for approval as pension loans by the company, reducing the potential risks of credit and improving the accuracy of the selection of loan criteria.
Co-Authors Ahmad Yani , Ahmad Yani Fahmi , Muhammad Fauziah , Sifa Indriani , Karlena Lita Sari Marita Ruli , Ahmad Rais Sumanto, Sumanto Sumarna , Sumarna Supriyatna , Adi Veti Apriana, Veti Yani , Ahmad