Muhamad Fadli Azim
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Penerapan Hukum De Moivre Untuk Menentukan Nilai Penyisihan Kontribusi Asuransi Jiwa Dwiguna Dengan Metode Canadian -, Tarisa Kusumawati; Muhamad Fadli Azim; Havid Risyanto; Dadan, Asep
Syar'Insurance: Jurnal Asuransi Syariah Vol. 10 No. 1 (2024): Juni 2024
Publisher : UIN Sultan Maulana Hasanuddin Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32678/sijas.v10i1.10589

Abstract

This research examines the application of De Moivre's Law in determining the value of the contribution allowance for endowment life insurance using the Canadian method. Contribution allowance is very important for life insurance companies to meet claims arising in the current or future period. Insufficient contribution allowance can lead to financial risks, especially when claims submitted exceed predictions. This research aims to develop a contribution allowance calculation model using De Moivre's Law in the Canadian method, compare the results with calculations without using De Moivre's Law, and assess the financial implications for insurance companies. Data was taken from the Indonesian Mortality Table IV and processed using Microsoft Excel. The research results show that the Canadian method without De Moivre's Law produces a greater contribution allowance value in the early years, which provides financial benefits for the company.
InsurTech Aggregator: Menuju Masa Depan Industri Asuransi Digital di Indonesia Trisna Taufik Darmawansyah; Sanawi, Sanawi; Muhamad Fadli Azim; Santi Angraini; Muhamad Turmudi
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 1 (2025): April 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i1.4105

Abstract

The purpose of this study is to conduct a SWOT analysis on InsurTech Aggregator in identifying the strengths, weaknesses, opportunities, and threats faced in the development of online insurance business. Qualitative descriptive methodology is used to gain a deep understanding of InsurTech Aggregator in Indonesia and the insurance products offered. Meanwhile, SWOT analysis will help identify the strengths and weaknesses of the InsurTech Aggregator company, as well as the opportunities and threats that exist in the insurance industry environment. The results of the study obtained an IFAS value of 3.00 and an EFAS value of 2.59. The implication of this study is a strategy for insurance companies to implement the S-O strategy, the steps that can be taken are to utilize the company's internal strengths to take advantage of existing external opportunities. Utilizing the advantages of InsurTech which are easily accessible and practical and the ability to compare policies to develop omnichannel services so as to increase sales opportunities and customer trust. Using an easy and effective claims process to build a strong corporate image, and integrating complex insurance products with services that are easier for prospective customers to understand.