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All Journal Operations Research: International Conference Series International Journal of Global Operations Research
Yakubu, Usman Abbas
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

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Life Insurance Aggregate Claims Distribution Model Estimation Yohandoko, Setyo; Prabowo, Agung; Yakubu, Usman Abbas; Wang, Chun
Operations Research: International Conference Series Vol. 4 No. 4 (2023): Operations Research International Conference Series (ORICS), December 2023
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v4i4.271

Abstract

Risk is a hazard or consequence that can occur in an ongoing process or future events. As the party responsible for assuming and managing risks, the insurance company must be prepared to provide compensation in the event of claims; otherwise, they may face bankruptcy. Hence, it is important to understand the characteristics of risks handled by the insurance company. The risk's characteristics can be analyzed through the distribution model of previous-period claims. The sum of aggregate claims over several periods forms the aggregate claims distribution. The aggregate claims distribution used to determine the amount of pure premium and gross premium that must be obtained by the insurance company. In this research, the determination of distribution model estimation was examined for data cases on aggregate claims of life insurance in Indonesia 2016-2020. The result of this research conduct that the appropriate distribution model is the inverse Gaussian 3P distribution (three parameters).
Time Series Model Analysis Using Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) for E-wallet Transactions during a Pandemic Yakubu, Usman Abbas; Saputra, Moch Panji Agung
International Journal of Global Operations Research Vol. 3 No. 3 (2022): International Journal of Global Operations Research (IJGOR), August, 2022
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v3i3.168

Abstract

The use of e-wallet can be accessed easily via the internet, this can create a positive impact for economic stability after the Covid-19 pandemic. This can move the wheels of the community's economy, through online shopping and the use of e-wallet among the public. The use of a number of digital services in Indonesia has increased during the Covid-19 pandemic. The first position is occupied by e-commerce and the second position is occupied by digital wallets which increased by 65%. Based on data from the increasing number of e-wallet service users in Indonesia. There are several forms of e-wallet that have a large scale, such as GoPay, OVO, Tokopedia, and Bukalapak. Several types of e-wallets can be analyzed for time series models, so that they can help project e-wallet transactions in the post-pandemic future. The method for obtaining the time series model is using the Autocorrelation Function (ACF) and the Patial Autocorrelation Function (PACF).
Co-Authors Agung Prabowo Chun wang Yohandoko, Setyo