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ANALISIS LAMA SEKOLAH DI PROVINSI JAWA TENGAH PROVINSI JAWA TENGAH Safitri, Mellyana; Firdaus, Wahyu Tri Nur Ahmad; Nuryadi, Didi
International Journal of Multidisciplinary Research and Literature Vol. 3 No. 2 (2024): INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND LITERATURE
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijomral.v3i2.183

Abstract

This study explores the expected years of schooling through the formal education level pursued by the people of Central Java province from 2018 to 2021. This study also suggests that other factors, such as income and social conditions, also affect Central Java Province's schooling length. Human resources are the core of life, so they must be considered to create superior resource capabilities. The method used in this research is quantitative with panel data regression analysis. The results showed that the average years of schooling variable had a positive and insignificant effect on the expected years of schooling, and the district minimum wage variable had a positive and significant effect on the expected years of schooling. From these results, it is concluded that the effect of the independent variable of average years of schooling and city minimum wage on the dependent variable of long school expectation with a study of 6 cities in Central Java through the results of the r-square calculation of 49.87%. The remaining 50.13% is influenced by independent variables outside of the average length of schooling and the city's minimum wage
Strategic Commodity Food Price Volatility in Central Java in 2020-2023 Safitri, Mellyana
Journal of International Conference Proceedings Vol 6, No 6 (2023): 2023 WIMAYA Yogyakarta Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i6.2830

Abstract

This study aims to analyze the volatility of food prices, especially rice, in Central Java from 2020 to 2023. Food price volatility can have a negative impact on consumer welfare and costs. Indonesia, as a country that still imports basic food needs, is vulnerable to food price volatility. Spikes in food prices can cause inflation to rise and economic growth to decline, which impacts the condition of people's households, especially the poor. This research uses a quantitative method using ARCH GARCH timeseries data. The results of this study are expected to identify and analyze the volatility of rice food prices, predict rice food prices at the end of 2023, and determinex Bank Indonesia's policies related to rice food price volatility. This research is based on the concepts of volatility, food prices, and inflation. Quantitative methods such as ARCH and GARCH models are used to analyze the volatility of rice food prices. Secondary data is used in this study, and the research steps include data collection, data analysis and interpretation, and presentation of results to provide recommendations.
Strategic Commodity Food Price Volatility in Central Java in 2020-2023 Safitri, Mellyana
Journal of International Conference Proceedings Vol 6, No 6 (2023): 2023 WIMAYA Yogyakarta Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i6.2830

Abstract

This study aims to analyze the volatility of food prices, especially rice, in Central Java from 2020 to 2023. Food price volatility can have a negative impact on consumer welfare and costs. Indonesia, as a country that still imports basic food needs, is vulnerable to food price volatility. Spikes in food prices can cause inflation to rise and economic growth to decline, which impacts the condition of people's households, especially the poor. This research uses a quantitative method using ARCH GARCH timeseries data. The results of this study are expected to identify and analyze the volatility of rice food prices, predict rice food prices at the end of 2023, and determinex Bank Indonesia's policies related to rice food price volatility. This research is based on the concepts of volatility, food prices, and inflation. Quantitative methods such as ARCH and GARCH models are used to analyze the volatility of rice food prices. Secondary data is used in this study, and the research steps include data collection, data analysis and interpretation, and presentation of results to provide recommendations.