Projection of Total Fertility Rate (TFR) in Indonesia Using a Machine Learning Approach
Abstract
In this research
article, the ANN approach was applied to analyze TFR in Indonesia. The employed
annual data covers the period 1960-2018 and the out-of-sample period ranges
over the period 2019-2030. The residuals and forecast evaluation criteria
(Error, MSE and MAE) of the applied model indicate that the model is stable in
forecasting TFR in Indonesia. The results of the study indicate that annual total fertility rates in Indonesia are
likely to be around 2.5 births per woman throughout the out-of-sample period. Therefore, the
Indonesian government is encouraged to create more demand for family planning services, address challenges
being experienced by adolescents and young adults and continue
implementing women empowerment programs.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Tatenda. A. CHIHOHO3 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Independent Health Economist, Zimbabwe
SAGIT Innovation Center, Harare, Zimbabwe
IRJIET, Volume 5, Issue 8, August 2021 pp. 298-301
