Sistem Pendukung Keputusan Kelayakan Klaim Asuransi Menggunakan Metode AHP
Autor: | Abdullah Izzul Islam, Nono Heryana, Asep Jamaludin |
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Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Jurnal Informatika Polinema. 7:115-122 |
ISSN: | 2407-070X 2614-6371 |
DOI: | 10.33795/jip.v7i2.398 |
Popis: | Insurance growth in Indonesia has recently experienced a pretty good increase, this is evidenced by the statistics of IKNB (Non-Bank Financial Industry) issued by the OJK (Financial Services Authority) in February 2020. In December 2018 the number of IKNB actors was 1260 and then increased every month until December 2019 IKNB actors totaled 1330. From these data IKNB actors experienced a pretty good increase, where insurance is included in the industry. With so many IKNB actors PT. SICO Andalan Utama, which is one of the companies engaged in the industry, is feeling the improvement. However, with this increase, insurance management, specifically claims management, is needed because caution is needed when deciding on a claim worthiness decision. So to overcome these problems this is what underlies the authors to propose the development of a Decision Support System for Insurance Claim Feasibility which will later be expected to avoid or at least reduce inaccuracies in determining the eligibility of a claim. This Decision System for Claims Feasibility Decision Support System was developed using the Rapid Application Development (RAD) system development methodology as a path for developing the system. Whereas the DSS modeling uses the Analytical Hierarchy Process (AHP) model. And also uses several Unified Modeling Language (UML), Business Process Modeling Nation (BPMN), and Entity Relationship Diagram (ERD) tools for analysis and design. In implementing the system the author uses PHP as a programming language and MySQL as a Database. The testing method uses White Box Testing, Black Box Testing and Usability Testing approaches. By implementing this system, it is expected to provide the right claim eligibility decisions. |
Databáze: | OpenAIRE |
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