Open access Jurnal SINTA 3
NET SINGLE PREMIUM ON CRITICAL ILLNESS INSURANCE WITH MULTI-STATE MODEL
BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 2 (2023) · pp. 0989–0994
- ISSN
- 2615-3017, 1978-7227
- Published
- 2023-06-11
- Publisher
- PATTIMURA UNIVERSITY
- Language
- eng
Abstract
The chances of someone getting a disease or suffering from a critical illness are very large, especially when they get older, the chances of getting a critical illness will be higher. A guarantee of the future is indispensable if a person suffers from a critical illness at any time and requires considerable costs to undergo treatment. Insurance is one of the right choices and is beneficial for people with critical illnesses. In this study, the calculation of Critical Illness insurance premiums was carried out to determine the value of premiums that must be paid by a person when suffering from a critical illness. The types of critical illnesses used include cancer, heart disease, stroke, kidney failure, diabetes mellitus, and hypertension. Health insurance that protects insureds suffering from critical illnesses is Long Term Care insurance with the Annuity as A Rider Benefit product. The multi-state model is used to determine the probability of a person suffering from a critical illness. The benefits obtained are in the form of death compensation, and treatment costs when the insured is diagnosed with a critical illness. The data used are data on the prevalence of critical illnesses and the percentage of deaths due to critical illnesses. In this study, we will compare the amount of premium that must be paid by the insured with different interest rates, gender, coverage period, and age. The higher the age at the beginning of following the insurance, the higher the premium. The higher the interest rate during the payer's period, the lower the premium.
Collaboration network of the authors
39 authors · 88 co-authorship links
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- Same organisation
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Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Evy Sulistianingsih | Affiliation unknown | 10 |
| Wirda Andani | Affiliation unknown | 4 |
| Hani Dwi Retnani | Affiliation unknown | 4 |
| Dadan Kusnandar | Affiliation unknown | 3 |
| Dinda Tiara | Affiliation unknown | 3 |
| Steven Jansen Sinaga | Affiliation unknown | 2 |
| Widad Imtiyaz | Affiliation unknown | 2 |
| Fritzgerald Muhammad Arsyi | Affiliation unknown | 2 |
| Muhammad Fauzan | Affiliation unknown | 2 |
| Nabila Izza Harnanta | Affiliation unknown | 2 |
| Nurhanifa Nurhanifa | Affiliation unknown | 2 |
| Sania Pujianti | Affiliation unknown | 2 |
| Shantika Martha | Affiliation unknown | 1 |
| Yundari Yundari | Affiliation unknown | 1 |
| Setyo Wira Rizki | Affiliation unknown | 1 |
| Geby Marola | Affiliation unknown | 1 |
| Rita Apriliyanti | Affiliation unknown | 1 |
| Tiffany Ardhitha | Affiliation unknown | 1 |
| Indah Oktaviani | Affiliation unknown | 1 |
| Maria Welita Dwinanda | Affiliation unknown | 1 |
| Lisa Lestari | Affiliation unknown | 1 |
| Aditya Nugraha Pratama | Affiliation unknown | 1 |
| Naomi Nessyana Debataraja | Affiliation unknown | 1 |
| Nurfitri Imro'ah | Affiliation unknown | 1 |
| Herina Marlisa | Affiliation unknown | 1 |
| Rifkah Alfiyyah Sary | Affiliation unknown | 1 |
| Ainun Zakiah | Affiliation unknown | 1 |
| Noerul Hanin | Affiliation unknown | 1 |
| David Jordy Dhandio | Affiliation unknown | 1 |
| Hairil Al-Ham | Affiliation unknown | 1 |
| Preatin Preatin | Affiliation unknown | 1 |
| Louis Putra Jaya | Affiliation unknown | 1 |
| Hendri Kurniawan | Affiliation unknown | 1 |
| Yuyun Eka Pratiwi | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.