Application of SMART Method in Insurance Selection Decision Support System
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Published:
Jun 30, 2021
Keywords:
Decision Support System (DSS), Insurance, SMART method
Section
Computer Science
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Article View : 477 Times
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Abstract
The background of making the system is that there are still many people who still think that insurance is not useful due to their lack of understanding of the need for proper insurance. The purpose of making this system is to make it easier for people who want to register as insurance policy holders or just to get information on what type of insurance is suitable for them. The making of this system is based on data obtained from the Yogyakarta branch of the Prudential company which is then used as the basis for calculating the system using the SMART (Simple Multi Attribute Rating Technique) method. the calculation of the questionnaire which reached 77
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How to Cite
Satya, A. D. (2021). Application of SMART Method in Insurance Selection Decision Support System. International Journal of Basic and Applied Science, 10(1), 1–4. https://doi.org/10.35335/ijobas.v10i1.3
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H. A. Simon, “Rational decision making in business organizations,” Am. Econ. Rev., vol. 69, no. 4, pp. 493–513, 1979.
F. C. Lunenburg, “THE DECISION MAKING PROCESS.,” in National Forum of Educational Administration & Supervision Journal, 2010, vol. 27, no. 4.
Y. H. Al-Mamary, A. Shamsuddin, and N. Aziati, “The role of different types of information systems in business organizations: A review,” Int. J. Res., vol. 1, no. 7, pp. 333–339, 2014.
G. Forgionne, M. Mora, J. N. D. Gupta, and O. Gelman, “Decision-making support systems,” in Encyclopedia of Information Science and Technology, Second Edition, IGI Global, 2009, pp. 978–984.
S. HÄGGLUND, “Knowledge management for collective learning and organizational memory,” Coop. Process Manag. Cogn. Inf. Technol. Cogn. Inf. Technol., p. 203, 2003.
A. Tariq and K. Rafi, “Intelligent decision support systems-A framework,” in Information and Knowledge Management, 2012, vol. 2, no. 6, pp. 12–20.
D. J. Power, “A brief history of decision support systems,” DSSResources. com, vol. 3, 2007.
R. E. Klosterman, “Planning support systems: A new perspective on computer-aided planning,” J. Plan. Educ. Res., vol. 17, no. 1, pp. 45–54, 1997.
J. Morduch, “Microinsurance: The next revolution,” Underst. poverty, pp. 337–356, 2006.
I. M. D. Pradipta, M. Dinda, P. Paramita, and I. G. N. Janardana, “System Decision of Natural Disaster Logistics (Case Study of Mount Agung Eruption),” Int. J. Eng. Emerg. Technol, vol. 2, no. 2, pp. 95–102, 2017.
M. Saputra, O. S. Sitompul, and P. Sihombing, “Comparison AHP and SAW to promotion of head major department SMK Muhammadiyah 04 Medan,” in Journal of Physics: Conference Series, 2018, vol. 1007, no. 1, p. 12034.
B. Blobel, “Case-based reasoning in intelligent health decision support systems,” in PHealth 2013: Proceedings of the 10th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2013, vol. 189, p. 44.
I. Sapi’i, “SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTU PRIORITAS PROSES PEMILAHAN BARANG BEKAS MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DI UD. SAUDARA.” Universitas Darul’ulum Jombang, 2020.
M. Bhuiyan, F. Haque, L. Shabnam, H. Mekami, S. Benabderrahmane, and A. Bounoua, “Integration of organisational models and UML Use Case diagrams,” J. Comput., vol. 13, no. 1, pp. 1–18, 2018.
C. A. Felippa, “Database management in scientific computing—I. General description,” Comput. Struct., vol. 10, no. 1–2, pp. 53–61, 1979.
T. Haigh, “‘ A veritable bucket of facts’ origins of the data base management system,” ACM SIGMOD Rec., vol. 35, no. 2, pp. 33–49, 2006.
P. G. Selinger, M. M. Astrahan, D. D. Chamberlin, R. A. Lorie, and T. G. Price, “Access path selection in a relational database management system,” in Readings in Artificial Intelligence and Databases, Elsevier, 1989, pp. 511–522.
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