The Determining Factors of Elderly People to Continue their Work Activities in Palembang
Hendry Wijaya1, Luis Marnisah2, Hamid Halin3, Fakhry Zamzam4, Susi Handayani5, Endah Dewi Purnamasari6
1Hendry Wijaya*, Faculty of Economics, STIE Rahmaniyah, Sekayu, Indonesia.
2Luis Marnisah*, Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia.
3Hamid Halin, Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia.
4Fakhry Zamzam, Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia.
5Susi Handayani, Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia.
6Endah Dewi Purnamasari, Faculty of Economics, Universitas Indo Global Mandiri, Palembang, Indonesia.
Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 2008-2014 | Volume-8 Issue-4, November 2019. | Retrieval Number: D6879118419/2019©BEIESP | DOI: 10.35940/ijrte.D6879.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research study focuses on the determination factors of elderly that still continue their work activities in the city of Palembang. The purpose of this study is to find out how the influence of Social Security, Education and Health on the decision of the elderly people to continue their work activities in Palembang. The method of data analysis in this study uses the binary logistic regression method in which all variables (independent and dependent) use 2 categories (binary). The results of the estimated data, it is known that the variable Social Security, Education and Health has a significant influence on the decision of the elderly people to continue their work activities in Palembang. Odds Ratio value of 0.046 means that the elderly population who have an elderly social security program have a probability of choosing not to work by 0.046 times when compared to the elderly population who does not have an elderly social security program. Odds Ratio value of 12.298 means that the elderly population completing tertiary education has a probability of choosing to continue working 12.298 times compared to the elderly population completing primary and secondary education. Odds Ratio value of 20.153 means that the elderly population who goes to the doctor/clinic for treatment at least once per 3 months has a chance of continuing to work 20,153 times compared to the elderly population who goes to the doctor/clinic for treatment more than once every 3 months. Nagelkerke’s R-Square value is 0.524. This implies that 52.4% of the variation in the independent variable can explain the dependent variable, while the remaining 47.6% is explained by non-model factors or by other variables not examined.
Keywords: Elderly, Working, Determination Factors, Palembang.
Scope of the Article: Classification.