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Journal : Journal of International Conference Proceedings

Poverty in The Informal Sector: A Case Study at West Nusa Tenggara Province Miftahul Surur; M. Pudjihardjo; Wildan Syafitri
Journal of International Conference Proceedings Vol 5, No 4 (2022): FEBIC International Conference Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v5i4.1909

Abstract

This study will try to see the impact of the dominance of the informal sector in West Nusa Tenggara Province which reaches 73.89% of the workforce when compared to the formal sector which is only 26.11%. While the HDI level of this province is 29th out of 34 provinces throughout Indonesia, the main reason is that the majority of the population who enter the informal sector have a low level of education and do not even go to school. It is very important to analyze the factors that influence the poverty of actors in the informal sector, especially in the West Nusa Tenggara Province, and to find out what variables affect poverty in the informal sector. Based on the results of research using Susenas data in 2021, it was found that the variables of education, marital status, number of family members, informal activities, use of technology, social security, access to capital, and migration status had a significant effect on poverty in the informal sector, only the domicile location variable did not significantly effect on poverty in the informal sector at West Nusa Tenggara Province. Keywords: Poverty, Informal Sector, Education, Technology, Gender
Determinants of Educated Unemployment in Java from 2016 to 2022 Rahmawati, Firnanda Novita; Pratomo, Devanto Shasta; Pudjihardjo, M.
Journal of International Conference Proceedings Vol 6, No 7 (2023): 2023 ICPM Bali Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i7.2756

Abstract

Statistical survey data of each province in Java indicates that the number of educated unemployed individuals holding a high school or university diploma is higher than that of lower-educated unemployed individuals. The increase in the number of educated unemployed individuals suggests that the government has not been successful in increasing job opportunities and establishing an effective education system to compete in the workforce. A significant increase happened in 2020 due to Covid-19 pandemic, leading to numerous dismissals. This research aims to discover the factors influencing educated unemployment in Java using Fixed Effect Model (FEM) panel data analysis, which comprises cross-sectional data from six provinces in Java and time series data spanning from 2016 to 2022. The results of the research show that education level variable (average years of schooling) has a negative and insignificant influence on educated unemployment, provincial minimum wage has a negative and significant influence on educated unemployment, GRDP has a positive and insignificant influence on educated unemployment, foreign direct investment has a positive and significant effect on educated unemployment, local direct investment has a positive and significant influence on educated unemployment, and Covid-19 pandemic has a positive and significant influence on educated unemployment in Java from 2016 to 2022.
Determinants of Educated Unemployment in Java from 2016 to 2022 Rahmawati, Firnanda Novita; Pratomo, Devanto Shasta; Pudjihardjo, M.
Journal of International Conference Proceedings Vol 6, No 7 (2023): 2023 ICPM Bali Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i7.2756

Abstract

Statistical survey data of each province in Java indicates that the number of educated unemployed individuals holding a high school or university diploma is higher than that of lower-educated unemployed individuals. The increase in the number of educated unemployed individuals suggests that the government has not been successful in increasing job opportunities and establishing an effective education system to compete in the workforce. A significant increase happened in 2020 due to Covid-19 pandemic, leading to numerous dismissals. This research aims to discover the factors influencing educated unemployment in Java using Fixed Effect Model (FEM) panel data analysis, which comprises cross-sectional data from six provinces in Java and time series data spanning from 2016 to 2022. The results of the research show that education level variable (average years of schooling) has a negative and insignificant influence on educated unemployment, provincial minimum wage has a negative and significant influence on educated unemployment, GRDP has a positive and insignificant influence on educated unemployment, foreign direct investment has a positive and significant effect on educated unemployment, local direct investment has a positive and significant influence on educated unemployment, and Covid-19 pandemic has a positive and significant influence on educated unemployment in Java from 2016 to 2022.