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All Journal International Journal of Business, Economics, and Social Development International Journal of Quantitative Research and Modeling
Siahaan, Roy Donald Pangeran
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Physics Social Sciences

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Comparative Analysis of Altman and Grover's Methods in Predicting Bankruptcy Using the McNemar Test (Case Study: Vehicle Insurance Company in Indonesia) Siahaan, Roy Donald Pangeran; Rizqullah, Muhammad Rifan Marsa
International Journal of Quantitative Research and Modeling Vol 5, No 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i4.823

Abstract

Vehicle insurance is an important component of automotive financing and consumer protection, which includes various forms of protection that protect the vehicle and its owner. Predicting the bankruptcy of a vehicle insurance company is also very important for vehicle insurance companies to be able to identify potential financial problems as early as possible and take the necessary corrective actions. The Altman and Grover model can be a way to analyze bankruptcy in company. In this study, PT. Asuransi Astra Buana, PT. Allianz Utama Indonesia, PT. Sinar Mas Insurance, and PT. BCA Insurance are used as the analyzed company. The McNemar Test conducted in this study shows that the two methods do not have significant differences in result, so the two methods will relatively have same results.
Determination of Monthly Term Health Insurance Premiums for Individuals Based on Gender Siahaan, Roy Donald Pangeran
International Journal of Quantitative Research and Modeling Vol 6, No 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i1.866

Abstract

Health is one of the important aspects of human life, and protection against health risks is a necessity for every society. Health insurance is a solution in providing protection against financial risks from health. In its implementation, determining premiums is an important factor for insurance companies in order to cover claims from policyholders. Premiums are money paid by policyholders to insurance companies in order to receive benefits in the future. This study aims to determine the monthly premium for term health insurance which adjusted for each gender using actuarial approach. The premium is determined using the 2023 Indonesian Mortality Table and the Indonesian Morbidity Table I "Critical Illness". Based on this study, it was found that the value of the monthly term health insurance premium will increase if the policyholder's entry age and the insurance contract period increase. This study also found that the premium values for men were greater than the premium and reserve values for women if the policy entry age of the man or woman was over 30 years, in addition, the premium and reserve values for women were greater.
Calculation of Aggregate Accident Claims Based on the Number and Magnitude of Accident Losses in Indonesia from 2013 to 2022 Siahaan, Roy Donald Pangeran
International Journal of Business, Economics, and Social Development Vol 6, No 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.876

Abstract

Accident losses are unavoidable when accidents occur. Data from the Indonesian Central Bureau of Statistics (BPS) show an increasing trend in accident claim amounts in recent years. This study aims to calculate aggregate accident claims based on the number and magnitude of accident losses in Indonesia from 2013 to 2022, enabling insurance companies or entities covering such losses to estimate the total liability required for all accident claims. The Generalized Extreme Value (GEV) distribution was applied to model claim amounts, while the negative binomial distribution was used for the number of accidents. The results show that the expected value of aggregate claims is IDR 236,768,463,076.93, with a variance of 7.28 × 10²⁰. The findings indicate that these distributions are suitable for modeling aggregate claims, providing insights for determining appropriate insurance premiums.
Comparative Analysis of Altman and Grover's Methods in Predicting Bankruptcy Using the McNemar Test (Case Study: Vehicle Insurance Company in Indonesia) Siahaan, Roy Donald Pangeran; Rizqullah, Muhammad Rifan Marsa
International Journal of Quantitative Research and Modeling Vol. 5 No. 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i4.823

Abstract

Vehicle insurance is an important component of automotive financing and consumer protection, which includes various forms of protection that protect the vehicle and its owner. Predicting the bankruptcy of a vehicle insurance company is also very important for vehicle insurance companies to be able to identify potential financial problems as early as possible and take the necessary corrective actions. The Altman and Grover model can be a way to analyze bankruptcy in company. In this study, PT. Asuransi Astra Buana, PT. Allianz Utama Indonesia, PT. Sinar Mas Insurance, and PT. BCA Insurance are used as the analyzed company. The McNemar Test conducted in this study shows that the two methods do not have significant differences in result, so the two methods will relatively have same results.
Determination of Monthly Term Health Insurance Premiums for Individuals Based on Gender Siahaan, Roy Donald Pangeran
International Journal of Quantitative Research and Modeling Vol. 6 No. 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i1.866

Abstract

Health is one of the important aspects of human life, and protection against health risks is a necessity for every society. Health insurance is a solution in providing protection against financial risks from health. In its implementation, determining premiums is an important factor for insurance companies in order to cover claims from policyholders. Premiums are money paid by policyholders to insurance companies in order to receive benefits in the future. This study aims to determine the monthly premium for term health insurance which adjusted for each gender using actuarial approach. The premium is determined using the 2023 Indonesian Mortality Table and the Indonesian Morbidity Table I "Critical Illness". Based on this study, it was found that the value of the monthly term health insurance premium will increase if the policyholder's entry age and the insurance contract period increase. This study also found that the premium values for men were greater than the premium and reserve values for women if the policy entry age of the man or woman was over 30 years, in addition, the premium and reserve values for women were greater.
Calculation of Aggregate Accident Claims Based on the Number and Magnitude of Accident Losses in Indonesia from 2013 to 2022 Siahaan, Roy Donald Pangeran
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.876

Abstract

Accident losses are unavoidable when accidents occur. Data from the Indonesian Central Bureau of Statistics (BPS) show an increasing trend in accident claim amounts in recent years. This study aims to calculate aggregate accident claims based on the number and magnitude of accident losses in Indonesia from 2013 to 2022, enabling insurance companies or entities covering such losses to estimate the total liability required for all accident claims. The Generalized Extreme Value (GEV) distribution was applied to model claim amounts, while the negative binomial distribution was used for the number of accidents. The results show that the expected value of aggregate claims is IDR 236,768,463,076.93, with a variance of 7.28 × 10²⁰. The findings indicate that these distributions are suitable for modeling aggregate claims, providing insights for determining appropriate insurance premiums.
Co-Authors Rizqullah, Muhammad Rifan Marsa