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      Penentuan Premi Bersih Tahunan Anuitas Reversionary dengan Tingkat Bunga Model Rendleman-Bartter

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      Date
      2025
      Author
      Anggraini, Chairunnisa Dewi
      Ruhiyat
      Purnaba, I Gusti Putu
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      Abstract
      Anuitas reversionary menawarkan solusi untuk memitigasi risiko finansial jangka panjang. Penelitian ini memprediksi tingkat bunga BI-Rate menggunakan model Rendleman-Bartter, lalu menghitung dan membandingkan premi bersih tahunan untuk tiga produk asuransi. Perbandingan dilakukan untuk tiga skenario tingkat bunga—tingkat bunga konstan, model Rendleman-Bartter, dan simulasi Monte Carlo—serta antara Tabel Mortalitas Penduduk Indonesia (TMPI) 2023 dan tabel select and ultimate. Hasilnya, produk dengan penerima manfaat adalah pihak yang bertahan hidup memiliki premi tertinggi. Premi dengan tingkat bunga model Rendleman-Bartter cenderung lebih kecil dari premi dengan tingkat bunga konstan. Premi dengan simulasi Monte Carlo adalah yang paling rendah karena akurasi analisis risikonya yang komprehensif. Selain itu, penggunaan tabel select and ultimate menghasilkan premi yang lebih rendah dibanding TMPI 2023.
       
      A reversionary annuity offers a solution to mitigate long-term financial risk. This research forecasts the BI-Rate using the Rendleman-Bartter model, and subsequently calculates and compares the annual net premiums of three insurance products. The comparison is conducted across three interest rate scenarios—constant rate, the Rendleman-Bartter model, and Monte Carlo simulation—as between the 2023 Indonesian Population Mortality Table (TMPI) and a select and ultimate table. The findings indicate that insurance products where the survivor is the beneficiary have the highest premiums. Premiums calculated using the Rendleman-Bartter model tend to be lower than those based on a constant interest rate. Meanwhile, premiums derived from the Monte Carlo simulation are the lowest, owing to its comprehensive risk analysis. Additionally, the use of a select and ultimate table results in lower premiums compared to the TMPI 2023.
       
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      http://repository.ipb.ac.id/handle/123456789/169392
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      Copyright © 2020 Library of IPB University
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      Contact Us | Send Feedback
      Indonesia DSpace Group 
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      Universitas Jember Digital Repository