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All Journal INFO ARTHA Jurnal Ketenagakerjaan
I Ketut Adi Chandra Wiguna
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Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences

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SPATIAL REGRESSION AND SPATIAL AUTOCORRELATION ANALYSIS OF THE DETERMINANTS OF POVERTY IN INDONESIA IN 2022 Ni Komang Noviyanti; I Ketut Adi Chandra Wiguna; Kadek Shri Yogi Savitri
JURNAL INFO ARTHA Vol 7 No 2 (2023): Edisi November 2023
Publisher : Polytechnic of State Finance STAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31092/jia.v7i2.2318

Abstract

Poverty remains a solemn challenge in Indonesia although the country has made significant progress in recent decades. Even though the government's efforts and various poverty alleviation programs have been carried out, the majority of Indonesia’s population lives below the poverty line. This research aims to examine variables that influence Indonesia's poverty rate by Province in 2022 using spatial regression analysis and spatial autocorrelation. The secondary data used comes from 34 Provinces in Indonesia and is obtained based on the results of publications by the Central Statistics Agency (BPS). The dependent variable is the percentage of poor people (P0), while the independent variables include average lenght of school (RLS), life expectancy (AHH), open unemployment rate (TPT), and Gini Ratio. The analytical methods used include descriptive analysis, multiple linear regression analysis, and spatial regression analysis. It is hoped that this research can provide relevant policy recommendations for developing poverty alleviation policies in Indonesia.
Intergenerational Analysis of Educated Unemployment Duration in East Java: A Multilevel Survival Approach Toward School-to-Work Transition Policies Barsua, Ni Putu Esti Utami; I Ketut Adi Chandra Wiguna; Ikhlasul A’mal; Muhammad Dokhi
Jurnal Ketenagakerjaan Vol 20 No 2 (2025)
Publisher : Pusat Pengembangan Kebijakan Ketenagakerjaan Kementerian Ketenagakerjaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47198/jnaker.v20i2.580

Abstract

Educated unemployment, particularly among Generation Z (Gen Z), poses a major challenge to inclusive and sustainable labor market development. East Java, as a province with a large population and a high proportion of young people, exhibits a pronounced trend of unemployment among Gen Z in both rate and duration. This study employs a multilevel survival analysis using the 2023 National Labor Force Survey (Sakernas) to compare the unemployment duration between Gen Z and Gen XY (a combination of Generations X and Y) and to identify the factors influencing it. The results reveal that Gen Z experiences longer unemployment durations and responds less effectively to formal interventions such as job training and the Prakerja program. Conversely, factors such as age, marital status, and education level significantly affect both groups. Income inequality, measured by the gini ratio, tends to prolong unemployment, while dynamic labor market conditions—reflected in higher labor force participation rates and regional GDP—help accelerate the transition to employment. Based on these findings, this study proposes the JAWARA KERJA program (East Java Initiative for Labor Market Access and Resilience), which emphasizes adaptive training for Gen Z, skill enhancement for Gen XY, and integration of labor market information systems. This program is expected to serve as a targeted and responsive policy for improving the school-to-work transition and addressing intergenerational disparities in the regional labor market.
Co-Authors Barsua, Ni Putu Esti Utami Ikhlasul A’mal Kadek Shri Yogi Savitri Muhammad Dokhi Ni Komang Noviyanti