Penerapan Metode MOOSRA dan MOORA dalam Keputusan Pemilihan Produk Asuransi Terbaik


  • Andik Adi Suryanto * Mail Universitas PGRI Ronggolawe, Tuban, Indonesia
  • Sitti Nur Alam Universitas Yapis Papua, Jayapura, Indonesia
  • Warkianto Widjaja Universitas Kebangsaan Republik Indonesia, Bandung, Indonesia
  • Hamid Wijaya Universitas Sembilanbelas November Kolaka, Kolaka, Indonesia
  • Iwan Adhicandra Universitas Bakrie, Jakarta, Indonesia
  • (*) Corresponding Author
Keywords: Decision Support Systems; Insurance Products; MOOSRA; MOORA

Abstract

At present, public opinion regarding the selection of insurance products is very low because people still do not understand enough to insure themselves against a product that will guarantee their necessities of life. Especially now that there are so many insurance products out there, it's likely that people don't want to register for insurance. Therefore, people must be careful in choosing an insurance product so that it fits what they want. The Decision Support System is a computerized system and is designed to assist management in making decisions to solve semi-structured and unstructured problems so that the decision-making process can be of higher quality. This application that will be made is an application that is guided by the MOORA method. Therefore, an application that is guided by the MOORA method is very suitable for calculating insurance product selection. From the results of our research we conducted the MOOSRA and MOORA methods for selecting insurance products easier and more precise than the manual work method. applying the MOORA method produces an alternative A5, namely Prudential with a value of 0.217 as the best alternative.

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Article History
Submitted: 2023-01-16
Published: 2023-03-29
Abstract View: 568 times
PDF Download: 507 times
How to Cite
Suryanto, A., Alam, S., Widjaja, W., Wijaya, H., & Adhicandra, I. (2023). Penerapan Metode MOOSRA dan MOORA dalam Keputusan Pemilihan Produk Asuransi Terbaik. Building of Informatics, Technology and Science (BITS), 4(4), 1721−1731. https://doi.org/10.47065/bits.v4i4.2938
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