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Determinants of Unemployment Among Gen Z in South Sulawesi Ayu, Sri Jayanti Dewa; Diksa, I Gusti Bagus Ngurah
Jurnal Ketenagakerjaan Vol 19 No 3 (2024)
Publisher : Pusat Pengembangan Kebijakan Ketenagakerjaan Kementerian Ketenagakerjaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47198/jnaker.v19i3.382

Abstract

Indonesia has experienced a demographic bonus since 2015 with the peak period estimated to occur between 2020 and 2035, which is characterized by the population structure being dominated by people of productive age compared to non-productive age. The demographic bonus can be used as an opportunity for the government to improve its regional economy. According to the 2023 Indonesian Youth Statistics, the estimated percentage of youth (population aged 16 - 30 years) in Indonesia is 23.18 percent or almost a quarter of the Indonesian population. Still, the youth open unemployment rate (TPT) is also high, exceeding the national TPT. The 2020 Population Census portrait shows that youth in Indonesia are dominated by Generation Z (Gen Z) with a total population of 74.93 million. Data from the Central Statistics Agency (BPS) shows worrying figures regarding unemployment among Gen Z in Indonesia. As many as 9.9 million Gen Z aged 15-24 years will be recorded as unemployed in 2023, which is equivalent to 22.25% of the total Gen Z population in Indonesia. Gen Z is a population group that dominates the population composition of South Sulawesi and has the potential to become an actor in Indonesia's future development. The analytical method used in this research is binary logistic regression. The results of this study show that the variables gender, marital status, head of household status, education level and type of region have a significant influence on the emergence of unemployment among Gen Z.
ANALISIS KETERKAITAN ANTAR KELOMPOK PENGELUARAN INFLASI MENGGUNAKAN VECTOR AUTOREGRESSIVE MODEL DIKSA, I GUSTI BAGUS NGURAH
Jambura Journal of Probability and Statistics Vol 2, No 1 (2021): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v2i1.7763

Abstract

In this study, testing steps were carried out, namely the stationarity test, determining the optimum lag, hypothesis testing and the formation of the VAR model, the Granger causality test and classical assumptions. The data used are month to month inflation data for each inflation expenditure group in Indonesia for the period January 2013 to December 2019. The inflation expenditure group is foodstuffs; processed food, beverages, cigarettes and tobacco; housing, water, electricity, gas and fuel; clothing; health; education, recreation and sports; and transportation, communication, and financial services. However, in this study only five inflation expenditure groups were used, namely foodstuffs; processed food, beverages, cigarettes and tobacco; housing, water, electricity, gas and fuel; clothing; as well as transportation, communication and financial services. The purpose of this study is to analyze the relationship between inflation expenditure groups and to find a forecasting model for inflation expenditure groups in Indonesia. After the Granger causality test was carried out, all probability values between endogenous variables, namely the five groups of inflation expenditures were less than 0,05 or rejected H0. Therefore, it can be concluded that there is a causal relationship between endogenous variables.