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Pola Karakteristik NEET (Not In Employment, Education, Or Training) Dan Pengaruh Pengetahuan Pemuda Tentang Program Kartu Prakerja Terhadap Status NEET Di Masa Pandemi Stephani Febryanna
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.739 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1113

Abstract

Indonesia is experiencing population growth of productive age, and if it can pick well, this is a form of demographic bonus. However, in 2020, the NEET (Not in Education, Employment, or Training) number in Indonesia increased, even though in that year the government issued a Pre-Employment Card Program policy with the target population aged 18 years and over. NEET is divided into active NEET (in the labor force) and inactive NEET (not in the workforce). The proportion of NEET is more dominated by inactive NEET (not the workforce), the most significant percentage is in West Sulawesi Province, and the lowest is in DKI Jakarta Province. This study wanted to see the characteristic pattern of NEET youth and the influence of youth's knowledge about the existence of the Pre-Employment Card Program. The results of Cluster Analysis and Classification Analysis with Decision Tree, as well as logistic regression, namely NEET youth of female sex, marital status, low education, living in rural areas, and not knowing the Pre-Employment Card Program tend to be inactive NEET.
PENGARUH TRANSISI DEMOGRAFI TERHADAP KEMISKINAN Stephani Febryanna
Jurnal Ekonomi dan Kebijakan Publik Indonesia Vol 9, No 1 (2022): MEI 2022
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ekapi.v9i1.29696

Abstract

Various studies have been conducted to create policies that can reduce poverty rates, and several researchers have tried to look at the role of demography on poverty. One of them is discussing the relationship between components of demographic variables in Indonesia; cross-national regression shows that high fertility rates increase poverty by slowing economic growth. Combined fertility and mortality are associated with reduced fertility and mortality rates that simultaneously produce changes in population growth as a model of the demographic transition. Indonesia has almost completed this first demographic transition even in several provinces and districts, has passed the first demographic transition and is currently in the second demographic transition phase. Secondary data is macro, in the form of Indonesian time series data sourced from the World Bank, and is annual data, namely 1998-2019. An interesting relationship between the dependency ratio and the poverty rate is related to the term jobless growth, the more working-age, the more jobs are needed, but if there are not many jobs, unemployment will increase even though the economic growth is quite good.