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Prevalensi Status Bekerja Pemuda Fresh Graduate di Indonesia: Analisis Data Sakernas Natalia, Christiayu; Febri Putranto, FX Gugus
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2249

Abstract

School to work transition is a crucial phase for individual success in the labor market. However, this transition is not occurring smoothly for fresh graduates in Indonesia. Despite stable economy in 2022, labor market absorption rate for fresh graduates in Indonesia remains low. This phenomenon is important as it is related to achieving Indonesia Emas 2045 through the quality of human capital among young people. This study aims to (1)analyze the general characteristics of fresh graduates based on their employment status; and (2)analyze the effect of demographic, human capital, and regional characteristics on the employment status. The data used is the microdata from Sakernas August 2022. The results of multinomial logistic regression show that human capital characteristics increase the probability of working in the formal sector but decrease the probability of working in the informal sector compared to being unemployed. These findings indicate a wait-and-see behavior in the labor market.
The Determinants of Extreme Poverty Among Working Households in East Java Maulana, Royan Gilbran; Febri Putranto, FX Gugus; Deffinika, Ifan
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 2 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i2.4543

Abstract

East Java Province is one of the provinces with an extremely poor population in Indonesia. The purpose of this study is to identify the factors that explain the effect of poverty, specifically on working households, which are expected to provide insights into policies to alleviate extreme poverty in East Java. This study uses microdata from the 2022 National Socioeconomic Survey (Susenas) at the household level in East Java, which has 38 districts/cities. By using binary logistic regression analysis, the results show that gender, education, marital status, age generation, employment status, and business field of the head of the household have a significant effect on the chances of becoming an extremely poor household. Furthermore, special policies are needed related to demographic and employment factors at the household level in alleviating extreme poverty in East Java.