Product Selection Decision Support System Insurance For Prospective Customers using AHP and TOPSIS: Product Selection Decision Support System Insurance For Prospective Customers using AHP and TOPSIS

Ridwan Baharudin; Septi Andryana; Sari Ningsih

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Published: Feb 1, 2020

Keywords:

Insurance, SPK, AHP, TOPSIS

Issue

Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Section

Computer Science

Statistics Article

Article View : 135 Times

Ridwan Baharudin

Universitas Nasional

Septi Andryana

Universitas Nasional

Sari Ningsih

Universitas Nasional

Abstract

In determining the insurance product common problems faced by insurance agents and prospective customers, namely the length of the process of determining customers' products and a lack of understanding of the products offered. It required a system that could be used by an insurance agent in the product selection process in accordance with the criteria of the prospective customer. This study aimed to design a decision support system for the selection of insurance products by using AHP and TOPSIS. The system is built to produce perangkingan insurance products according to the criteria of the prospective customer, ie, age, income, purpose, sex, smoking, and menika status. CMS system accuracy testing is done by comparing the output of the system by manual calculation process which is known there are differences in the results.

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How to Cite

Baharudin, R., Andryana, S. and Ningsih, S. (2020) “Product Selection Decision Support System Insurance For Prospective Customers using AHP and TOPSIS: Product Selection Decision Support System Insurance For Prospective Customers using AHP and TOPSIS”, Jurnal Mantik, 3(4), pp. 243-251. Available at: https://iocscience.org/ejournal/index.php/mantik/article/view/561 (Accessed: 25May2026).

References

[1] A. Gunawan, “SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PRODUK BRIngin DanaDwiguna , pensiunan . Sementara itu , kriteria yang digunakan dalam pertimbangan terdiri dari Kriteria Umum yaitu Usia , Pekerjaan , Pendapatan atau Gaji , Jenis Kelamin , Status dan Kriteria,” vol. 12, no. 1, pp. 73–79, 2014.
[2] Asuransi Prudential (1995). Profile Prudential. (https://www.prudential.co.id/id/our-company/)
[3 ]Akincilar, A. & Dagdeviren, M. “A hybrid multi-criteria decision making model to evaluate hotel websites”. International Journal of Hospitality Management 36 (2014) 263-271. ISSN : 0278-4319
[4] T. L. Saaty, “Decision Making with the Analytic Hierarchy Process”, International Jurnal services science. 2008. ISSN : 2345-3605.
[5] Y. D. Lulu, “Sistem Pendukung Keputusan Penentuaan Karyawan Terbaik Menggunakan Metode Saw ( Simple Additive Weighting ) Studi Kasus PT. Pertamina RU II Dumai,” Sist. Inf. Politek. Caltex Riau, pp. 1–6, 2011.
[6] M. Kom. Dicky Nofriansyah, S.Kom., Konsep Andik Kurniawan (Universitas Nusantara PGRI Kediri), “Perbandingan penerapan metode saw dan topsis dalam sistem pemilihan laptop,” Artik. Skripsi, pp. 1–11, 2016.
[7] J. C. Wyatt and P. Taylor, “Decision Support Systems and Clinical Innovation,” Get. Res. Find. into Pract. Second Ed., pp. 123–137, 2008.
[8] T. L. Saaty, “Decision Making with the Analytic Hierarchy Process”, International Jurnal Services Sciences. 2008. ISSN : 2345-3605.
[9] J. Kittur, “Criteria Decision Making Methods,” 2015.
[10] Rouhani, S. “Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS”. Expert System with Applications. 2012. ISSN : 0957-4174.
[11] A. Cahyapratama and R. Sarno, “Application of Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods in singer selection process,” 2018 Int. Conf. Inf. Commun. Technol. ICOIACT 2018, vol. 2018-Janua, no. Mcdm, pp. 234–239, 2018.

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