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Meinarisa, Meinarisa
Program Studi Ilmu Keperawatan, Fakultas Kedokteran Dan Ilmu Kesehatan, Universitas Jambi
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Journal : Limits: Journal of Mathematics and Its Applications

 1 
Pembentukkan Tabel Morbiditas Penyakit Kronis Berdasarkan Angka Prevalensi Khairul Alim; Gusmi Kholijah; Meinarisa Meinarisa
Limits: Journal of Mathematics and Its Applications Vol. 22 No. 1 (2025): Limits: Journal of Mathematics and Its Applications Volume 22 Nomor 1 Edisi Ma
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v22i1.3377

Abstract

A morbidity table is an important mathematical tool in health sciences and actuarial studies, providing an overview of disease rates in a population at a given time. This table offers information on the number of disease cases by age group, type of disease, or geographical region. The values from morbidity tables are used to compare disease rates between populations, evaluate the effectiveness of health programs, and predict future healthcare service needs. In the world of health insurance, morbidity tables play a crucial role in premium pricing calculations. By using specific morbidity tables, insurance providers can set premium prices that align with the conditions of the population being covered, preventing company losses due to premiums being set too low, while also ensuring that people do not feel burdened by excessively high premiums. Despite their importance, creating morbidity tables requires extensive research and large amounts of data. In Indonesia, accurately constructing morbidity tables is challenging due to its vast geographical diversity. Therefore, this study will use the prevalence rate of chronic diseases as an alternative. Prevalence rate is a statistical measure that describes the proportion of individuals in a population suffering from a specific disease at a given time. This approach simplifies data collection, especially since the government regularly releases prevalence data for certain diseases.
Co-Authors Adinda Adinda Afrilia, Fadillah Nisa Ahmad Husaini Amalya Nasution, Riska Amna, Etia Zaria Andi Subandi Andika Sulistiawan Anita Sari, Lisa Assyafiah Harnum Astuti, Ani Ayu Komala Sari AZ, Rasyidah Azarine, Sherin Azizah, Tania Febria Bagas Setiawan, Bagas Basok, Buhari Butar Butar, Marta Citra Indah Fitriwati Dasuki, Dasuki Dewi , Eza Reiskha Diah Merdekawati, Diah Diah, Nurmar Dwita M, Putri Dwita, Putri Elsanes, Astiandah Elvira Monalisa Fadliyana Ekawati Fadliyana Ekawaty Febriani, Verawati Fiola Rosa Dwina Fitri, Hairani Gusmi Kholijah Hania, Ratu Adelline Haryanti Haryanti Haryati Haryati Hasna Dewi Hendri Hermawan Adinugraha Herwansyah, Herwansyah Hikmawati Hikmawati Hubaybah, Hubaybah Ilham Falani Indah Mawarti Jelori Jalal Jufira, Putry Rahmani Junita Anjela Bokripok Junizar, Hasny Dwi Kamariyah Kamariyah Kamariyah Kamariyah Kamariyah kamariyah, kamariyah Keshy Maghfirah Khairul Alim Khairul Alim Kintan Resqitha Ekaputri Kirana, Febiyora Chandra Laura Tessa Praganza Lestari, Vina Dwi Lidya Mei Yulianti Lisa Anita Sari Lisa Anita Sari, Lisa Anita Lukman, Muhammad Nasril Luri Mekeama Maizuputri, Stefi Mardiantika, Bella Marini Amaliya Muslim Martawinarti, RTS Netisa Marthalisa Wirahandayani Mawarti, Indah Mefrie Puspita Miftahul Jannah Muhammad Taqwa Muly Okti Viana Mutmainnah, Muthia MZ Fakhrurazi Nabila, Tasya Nasution, Indah Widya Astuti Nurhusna Nurlinawati Nurlinawati, Nurlinawati Nurliza Mahendra, Syafira Nurmardiah, Nurmardiah OKTARIA, RINA RINA Pely Hirmalia Pira Nisa Putri Putri Irwanti Sari Putri, Musiya Ramadhani Rahayu, Mona Rian Maylina Sari Riansyah, Serly Fadila Rifelda, Nadia Rini, Willia Novita Eka Riska Amalya Nasution Rts. Netisa Martawinarti Salsabila, Silvi Sanuddin, Mukhlis Saputri, Dewi Anggi Sari Gustia Ayu Sari, Yulia Indah Permata Sary, Elsa Volinda Siti Raudhah Sri Mulyani Sri Mulyani Suryati Suryati Susi Widiawati, Susi Syalsabilah, Indah Najwa Tri Andini, Febri Usn, Tasya Isra Salsabila Veni Misriyani Wahyu Indah Dewi Aurora Yaldi , Destri Yosi Oktarina Yuliana Yuliana Yuliana Yuliana Yurni yurni Yusi Lorenza, Yusi Lorenza Yusmahendra, Devi Yusnilawati, Yusnilawati Yusnilawati, Yusnilwati Yusprisan, Ajeng Ananda