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Determinan Rumah Tangga Tidak Cukup Pangan Periode 2015 – 2022 Arrohmah, Laila; Putri, Afidita Nabila; Setya P, I Gede Nyoman; Lestari, Zahra Ayu; Manik, Rizky Wahyuda; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1718

Abstract

Sustainable Development Goals (SDGs) to zero hunger in Indonesia can be seen from several indicators. One indicator that can assess the success of SDGs for zero hunger is the percentage of households with insufficient food status. Almost all provinces have not been able to achieve the target of the minimum proportion of households with insufficient food status each year. This study aims to identify the factors that influence the percentage of households with insufficient food status. The data used is panel data with observations from 34 provinces in Indonesia for the 2015 - 2022 period. This research uses panel data regression analysis method with the best model is Fixed Effect Model (FEM). The results of this study show that food inflation average, growth in per capita, production of dry milled unhusked rice, and the percentage of poor people affect the percentage of households with insufficient food status in Indonesia in 2015 - 2022.
Analisis Variabel yang Memengaruhi Konsumsi Energi Terbarukan di Indonesia Menggunakan Error Correction Model Arrohmah, Laila; Sukim, Sukim
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.v2024i1.2052

Abstract

Energy has an important role to support life. Energy consumption that focuses on non-renewable natural resources or what is usually called fossil energy can have negative effects on the environment. For this reason, alternative efforts are needed to provide energy that can replace it, namely renewable energy. The aim of this research is to analyze variables that are thought to influence renewable energy consumption in Indonesia in 2003-2021. The analysis is carried out descriptively and inferentially. Descriptive analysis displays a line chart to provide an overview of developments in the volume of renewable energy consumption in Indonesia. Inferential analysis was carried out in a time series using the Error Correction Model (ECM). The results of the analysis show that in the long term the variables economic growth, population, fossil energy consumption, and average years of schooling have an influence on renewable energy consumption in Indonesia on 2003 2021. In the short term, the variables economic growth, fossil energy consumption, and average years of schooling influence renewable energy consumption in Indonesia on 2003- 2021.