The Design of an Installation Payment Decision Support System for the prospective Home Credit Customers Using the Multi-Attributive Border Approximation Area Comparison Method
Abstract
The rapid development of online payments in Indonesia can also be seen from the expansion of online financing platforms. One of the current installation payment provider applications is Home Credit Indonesia (HCI). In carrying out its business activities, HCI offers multipurpose financing for unsecured cash installments through an online application. In the selection process, the feasibility of prospective customers is the key to success in providing loans by HCI. The purpose of this study is how to build a system that can select and provide recommendations on the feasibility of prospective consumer applications using 5 (five) criteria, namely: age; profession; income; dependents; credit limit. This study applies the Mabac method which can support multi-criteria decision-support and is considered one of the reliable methods in rational decision-support. The results of this study are very helpful to speed up data processing in decision-support in determining the selection of Home Credit Consumers.
Full Text:
Full VersionReferences
Chaudhari, U., Shah, N. H., & Jani, M. Y. (2020). Inventory modelling of deteriorating item and preservation technology with advance payment scheme under quadratic demand. In Optimization and inventory management (pp. 69-79). Springer, Singapore.
Chen, P. W., Jiang, B. S., & Wang, C. H. (2017, October). Blockchain-based payment collection supervision system using pervasive Bitcoin digital wallet. In 2017 IEEE 13th international conference on wireless and mobile computing, networking and communications (WiMob) (pp. 139-146). IEEE.
Dash, M., & Motukuri, T. (2018). A Model of the Net Present Value of Zero-Interest Instalment Schemes. Journal of Applied Management and Investments, 7(4), 179-184.
Drner, N., Gassmann, O., & Gebauer, H. (2011). Service innovation: why is it so difficult to accomplish?. Journal of Business Strategy, 32(3), 37-46.
Entele, B. R. (2020). Analysis of households' willingness to pay for a renewable source of electricity service connection: evidence from a double-bounded dichotomous choice survey in rural Ethiopia. Heliyon, 6(2), e03332.
Fu, Z. (2021). Study on Overseas Market Expanding of Chinese Mobile Payment Enterprises. Journal of Frontiers of Society, Science and Technology, 1(8), 132-139.
Hondro, R. K. (2018). MABAC: Pemilihan Penerima Bantuan Rastra Menggunakan Metode MultiAttributive Border Approximation Area Comparison.
Kalmykova, E., & Ryabova, A. (2016). FinTech market development perspectives. In SHS Web of Conferences (Vol. 28, p. 01051). EDP Sciences.
Rossana, G. (2016). Penafsiran Pasal 40 Undang-Undang Nomor 10 Tahun 1998 Mengenai Kerahasiaan Bank. Lambung Mangkurat Law Journal, 1(2).
Said, A. (2017). Perlindungan Hukum Bagi Nasabah Yang Didaftarhitamkan Akibat Kesalahan Sistem Perbankan Menurut Uu No. 10 Tahun 1998 Tentang Perbankan. Lex Crimen, 6(3).
Yosafat, H., Kurniabudi, K., & Nurhadi, N. (2020). Perancangan Sistem Pendukung Keputusan Pembelian Laptop Dengan Metode Mabac (Studi Kasus: Sigma Komputer). Jurnal Ilmiah Mahasiswa Teknik Informatika, 2(2), 148-161.
Yusnaeni, W. (2020). MABAC Method Dalam Penentuan Kelayakan Penerima Bantuan SPP. EVOLUSI: Jurnal Sains dan Manajemen, 8(1)
Zainal Said, M. H. (2013). Analisis Kebijakan Tentang Proses Perumusan Undang-Undang Nomor 10 Tahun 1998 Tentang Perbankan (Relevansinya Terhadap PP 29 Tahun 1999) (Doctoral dissertation, Universitas Gadjah Mada).
Refbacks
- There are currently no refbacks.