ANALYSIS OF THE DEVELOPMENT OF REGIONAL SOCIO-ECONOMIC CONDITIONS ON THE AGING POPULATION IN ACEH PROVINCE
Downloads
Socio-economic developments in Aceh Province have had a real impact which is reflected in the reduction in death and birth rates as well as an increase in life expectancy, causing changes in the composition of the population aged 60 years and over to increase. However, the developments that have occurred are not evenly distributed throughout the region, it is crucial to be aware of the concept of "being not ready to get old" that will arise in Aceh Province. This study analyzes the socio-economic development of regions with population aging in Aceh Province. The study was conducted with a quantitative approach. Data collection using documentation. Data analysis using descriptive analysis and modification of the Klassen typology. The results of the study showed that Aceh Province in 2020 was in the early aging stage (Mid-Aged) because the percentage of elderly people was more than 7%. It is estimated that in the next 25 years in 2035 Nagan Raya, South Aceh, and West Aceh will be in the high aging category (Super-Aged) or more than 14% and the results of the Klassen typology analysis using socio-economic indicators on population aging show that the development of the 23 districts/cities in Aceh Province is not only in areas that are high growth and high income (quadrant I), several districts/cities are in the category of low growth and low income (quadrant III) where socio-economic development is low but have entered the early aging stage.
Heryanah, Kadir. Causes of Differences in Aging Between Provinces in Indonesia: Analysis Using Panel Data and Logistic Regressions. Jurnal Biometrika dan Kependudukan [Internet]. 2023 Jul 6 [cited 2024 Oct 21];12(1):100–11. Available from: https://e-journal.unair.ac.id/JBK/article/view/39035
Peng X. Coping with Population Ageing in Mainland China. Asian Popul Stud [Internet]. 2021 Jan 2 [cited 2024 Oct 22];17(1):1–6. Available from: https://www.tandfonline.com/doi/abs/10.1080/17441730.2020.1834197
Heryanah H. Ageing Population dan Bonus Demografi kedua di Indonesia. Populasi [Internet]. 2015 Nov 1 [cited 2024 Oct 21];23(2):1. Available from: https://jurnal.ugm.ac.id/populasi/article/view/15692
Presiden Republik Indonesia. Undang-undang (UU) Nomor 13 Tahun 1998 tentang Kesejahteraan Lanjut Usia [Internet]. Jakarta; 1998 p. 1–24. Available from: https://peraturan.bpk.go.id/Details/45509/uu-no-13-tahun-1998
Zhao D, Han Z, Wang L. The Spatial Pattern of Aging Population dDistribution and its Generating Mechanism in China. Dili Xuebao/Acta Geographica Sinica. 2017 Oct 1;72(10):1762–75.
Xu X, Zhao Y, Zhang X, Xia S. Identifying the Impacts of Social, Economic, and Environmental Factors on Population Aging in the Yangtze River Delta Using the Geographical Detector Technique. Sustainability (Switzerland). 2018 May 11;10(5).
Tri S Mildawani. Gerontologi: Sebuah Pengantar [Internet]. 1st ed. Mario Manalu, editor. Jakarta Timur: Lestari Kiranatama; 2015 [cited 2024 Oct 21]. 1–120 p. Available from: https://dosen.perbanas.id/docs/wp-content/uploads/2020/09/GERONTOLOGI-Sebuah-Pengantar-.pdf
Achmad W, Nurwati N, Fedryansyah M, Sumadinata RWS, Sidiq RdSSS. Taking Advantage of Indonesia’s Demographic Bonus in 2024: Challenges and Opportunities. Management Studies and Entrepreneurship Journal [Internet]. 2024;5(2):4425–34. Available from: http://journal.yrpipku.com/index.php/msej
Cicih LHM, Nugroho DNA. Kondisi Lanjut Usia Di Indonesia Era Bonus Demografi Condition of the Elderly in Indonesia in the Era of Demographic Bonus. Sosio Informa [Internet]. 2021 [cited 2024 Oct 31];7(02):158–71. Available from: https://ejournal.poltekesos.ac.id/index.php/Sosioinforma/article/view/2681
Muta’ali L. Teknik Analisis Regional untuk Perencanaan Wilayah Tata Ruang dan Lingkungan. 1st ed. Yogyakarta: Badan Penerbit Fakultas Geografi UGM; 2015. 1–345 p.
Primastuti R, Sukamdi, Listyaningsih Umi. Pengelompokan Provinsi di Indonesia Berdasarkan Karakteristik Lansia dan Hubungannya dengan Kondisi Sosial Ekonomi Wilayah [Internet] [Thesis]. [Yogyakarta]: Universitas Gadjah Mada; 2023 [cited 2024 Oct 21]. Available from: https://etd.repository.ugm.ac.id/penelitian/detail/221541
Panjawa JL, Triyanto J. Determinan Keterlibatan Lansia dalam Pasar Kerja di Kabupaten Sragen. Jurnal Litbang Sukowati [Internet]. 2020;3(2):82–91. Available from: http://journal.sragenkab.go.id,
Guan D, Lei L, Han Z, Xia J. Spatial-Temporal Variation of Population Aging: A Case Study of China’s Liaoning Province. Complexity [Internet]. 2020 [cited 2024 Oct 21];2020:1–13. Available from: https://doi.org/10.1155/2020/5436061
Central Statistics Agency of Aceh Province. Proyeksi Penduduk Kabupaten/Kota Provinsi Aceh 2010-2020 [Internet]. 2015 [cited 2024 Nov 8]. 1–105 p. Available from: https://www.bps.go.id/id/publication/2015/06/30/d134b947dc034d67a6dcaf12/proyeksi-penduduk-kabupaten-kota-tahunan-2010-2020-provinsi-aceh.html
Central Statistics Agency of Aceh Province. Proyeksi Penduduk Kabupaten/Kota Provinsi Aceh 2020-2035 Hasil Sensus Penduduk 2020 [Internet]. 2023 [cited 2024 Nov 8]. 1–259 p. Available from: https://aceh.bps.go.id/id/publication/2023/07/20/c5b064a1664cac76d5aa7ed7/proyeksi-penduduk-kabupaten-kota-provinsi-aceh-2020-2035-hasil-sensus-penduduk-2020.html
Ainistikmalia N. Determinants of the Elderly Female Population with Low Economics Status in Indonesia. Jurnal Ilmu Ekonomi Terapan [Internet]. 2019 [cited 2024 Oct 21];4(2):85–100. Available from: https://e-journal.unair.ac.id/JIET/article/view/14033/8742
Kantachote K, Wiroonsri N. Do Elderly Want to Work? Modeling Elderly’s Decision to Fight Aging Thailand. Qual Quant. 2023 Feb 29;57(1):509–39.
Kudo S, Mutisya E, Nagao M. Population Aging: an Emerging Research Agenda for Sustainable Development. Soc Sci [Internet]. 2015 [cited 2024 Oct 21];4(4):940–66. Available from: https://www.mdpi.com/2076-0760/4/4/940
Nadia SP, Riyanto WH. Analisis Tipologi Klassen pada Indeks Pembangunan Manusia di Provinsi Bali. Jurnal Ilmu Ekonomi (JIE) [Internet]. 2023 [cited 2024 Oct 21];7(1):30–40. Available from: https://ejournal.umm.ac.id/index.php/jie/article/view/24831/12063
Central Statistics Agency of Aceh Province. Indeks Pembangunan Manusia Provinsi Aceh 2022 [Internet]. Banda Aceh: Badan Pusat Statistik Provinsi Aceh; 2022 [cited 2024 Oct 21]. 1–84 p. Available from: https://aceh.bps.go.id/id/publication/2023/06/28/108a20bfd6b020c723bc64ab/indeks-pembangunan-manusia-provinsi-aceh-2022.html
Gubernur Aceh. Peraturan Gubernur Aceh Nomor 30 Tahun 2018 [Internet]. 2018 p. 1–10. Available from: https://jdih.acehprov.go.id/dih/view/184895c7-b9ed-4acf-89f4-1a6769942aca
Copyright (c) 2024 Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright ©2022 Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
1. Copyright of all journal manuscripts is held by the Jurnal Biometrika dan Kependudukan.
2. Formal legal provisions to access digital articles of the electronic journals are subject to the provision of the Creative Commons Attribution-ShareAlike license (CC BY-NC-SA), which means that Jurnal Kesehatan Biometrika dan Kependudukan to keep, transfer media/format, manage in the form of databases, maintain, and publish articles.
3. Published manuscripts both printed and electronic are open access for educational, research, and library purposes. Additionally, the editorial board is not responsible for any violations of copyright law.
