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All Journal International Journal of Business, Economics, and Social Development Operations Research: International Conference Series In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Ramdhani, Muhammad Dhafin Qinthar
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Enhancing Risk Management Strategies: GAM Analysis of Health Insurance Claim Determinants Wahyu, Azkanul; Ramdhani, Muhammad Dhafin Qinthar
Operations Research: International Conference Series Vol. 5 No. 1 (2024): Operations Research International Conference Series (ORICS), March 2024
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v5i1.277

Abstract

Health insurance plays a crucial role in providing financial protection and ensuring access to necessary healthcare services. The awareness of Indonesian society regarding the importance of health insurance continues to grow, as evidenced by a 22% increase in premium income according to AAJI data as of March 2023. Despite the benefits of health insurance, an increasing number of insurance participants raises risks for insurance companies. The Generalized Additive Models (GAM) P-Spline can overcome these problems. The non-linear relationship between claim amount with age, body mass index, and blood pressure can be modelled with GAM P-Spline. The formed GAM model with PIRLS unable to give a clear information of relationship between variables explicitly, but can be seen by the shape of the function of each predictor associated with the link function used.
Analisis Regresi TELBS Untuk Menentukan Pengaruh Lahan Kopi Terhadap Produksi Kopi di Indonesia Tahun 2023 Menggunakan Bahasa Pemrograman Python Ramdhani, Muhammad Dhafin Qinthar; Gusriani, Nurul; Firdaniza, Firdaniza
In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Vol 23 No 2 (2024): In Search
Publisher : LPPM UNIBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/insearch.v23i2.889

Abstract

Indonesia, as one of the world's largest coffee producers, is renowned for its diverse range of high-quality coffees such as Arabica, Robusta, and Liberica. Coffee production is influenced by various factors, including the extent of plantation land. Coffee production data may contain outliers due to factors like weather changes, pest attacks, inconsistent farming practices, or recording errors. These challenges can be addressed using robust regression methods, with one such estimation being Tabatabai Eby Li Bae Singh (TELBS) estimation. TELBS estimates model parameters by minimizing an objective function. In this study, a TELBS estimation model was applied to Indonesian coffee production data in 2023, with the dependent variable being coffee production quantity and the independent variable being plantation land area. Parameter testing using t-tests indicated that plantation land area significantly influences coffee production in that year at a significance level of 0.05. The TELBS estimation model yielded a coefficient of determination of 96.51%, demonstrating its capability to explain a substantial portion of the data's variance.
Enhancing Risk Management Strategies: GAM Analysis of Health Insurance Claim Determinants Wahyu, Azkanul; Ramdhani, Muhammad Dhafin Qinthar
International Journal of Business, Economics, and Social Development Vol. 5 No. 2 (2024)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v5i2.661

Abstract

Health insurance plays a crucial role in providing financial protection and ensuring access to necessary healthcare services. The awareness of Indonesian society regarding the importance of health insurance continues to grow, as evidenced by a 22% increase in premium income according to AAJI data as of March 2023. Despite the benefits of health insurance, an increasing number of insurance participants raises risks for insurance companies. The Generalized Additive Models (GAM) P-Spline can overcome these problems. The non-linear relationship between claim amount with age, body mass index, and blood pressure can be modelled with GAM P-Spline. The formed GAM model with PIRLS unable to give a clear information of relationship between variables explicitly, but can be seen by the shape of the function of each predictor associated with the link function used.
Co-Authors Firdaniza Firdaniza Nurul Gusriani, Nurul Wahyu, Azkanul