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      Penentuan Premi Bersih Asuransi Long-term Care pada Model Dickson dan Haberman-Pitacco

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      Date
      2024
      Author
      Hadiva, Cahya Rila
      Ruhiyat
      Erliana, Windiani
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      Abstract
      Seiring bertambahnya usia, kebutuhan akan perawatan dan pengawasan intensif menjadi semakin mendesak. Perawatan jangka panjang dapat menimbulkan beban finansial yang signifikan. Asuransi long-term care (LTC) dapat menjadi solusi dengan menanggung biaya perawatan jangka panjang, sehingga meringankan beban finansial keluarga tertanggung. Pada karya ilmiah ini, dilakukan penghitungan premi tunggal bersih dan premi tahunan bersih untuk asuransi LTC menggunakan model tiga multiple state, yaitu model Dickson dengan asumsi tidak ada peluang kesembuhan/one way, model Dickson dengan asumsi ada peluang kesembuhan/reverse, serta model Haberman-Pitacco. Premi dihitung menggunakan prinsip kesetaraan dengan data hipotetik yang melibatkan data sekunder. Hasil penghitungan menunjukkan bahwa nilai premi bersih untuk asuransi LTC dipengaruhi oleh model multiple state dan peluang transisi antar state yang digunakan. Nilai premi bersih untuk polis asuransi LTC model Dickson (one way) mencapai 19% lebih tinggi dibandingkan dengan model Dickson (reverse), sedangkan nilai premi bersih pada model Haberman-Pitacco jauh lebih rendah dibandingkan dengan premi bersih pada kedua model Dickson.
       
      As individuals age, the need for intensive care and supervision becomes increasingly urgent. Long-term care (LTC) can impose a significant financial burden. LTC insurance can provide a solution by covering long-term care costs, alleviating the financial strain on the insured's family. This study calculates the net single premium and net annual premium for LTC insurance using three multiple state models: the Dickson model with the assumption of no recovery/one way, the Dickson model with the assumption of recovery/reverse, and the Haberman-Pitacco model. Premiums are calculated using the equivalence principle with hypothetical data involving secondary data. The results show that the net premium value for LTC insurance is influenced by the multiple state model and the transition probabilities between states used. The net premium value for the Dickson model (one way) is 19% higher than for the Dickson model (reverse), while the net premium value for the Haberman-Pitacco model is significantly lower than the net premium values for both Dickson models.
       
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      http://repository.ipb.ac.id/handle/123456789/155264
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      Indonesia DSpace Group 
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      Universitas Jember Digital Repository