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Pengaruh Konsumsi Masyarakat Indonesia terhadap Ketahanan Pangan Nasional A.W, Vilentine Tessalonica; Fitriyani, Arum Eka; Febrianti, Mita; Lesmana, Muhammad Erza; Lukman, Raif Maulana; 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.v2023i1.1711

Abstract

Food is a basic need for humans to be able to live and improve their lives. The Global Food Security Index (GFSI) and the Food Security Index (IKP) are each a measure of how good food security is in the world and Indonesia. In 2022 Indonesia's GFSI score is ranked 69th in the world and sixth in ASEAN countries. Indonesia's GFSI has also decreased from 2018 to 2021. The purpose of this study was to analyze the effect of consumption on a decrease in the level of food security as reflected in Indonesia's GFSI scores for the 2018-2021 period based on 2 GFSI aspects, namely Affordability and Availability. The data used is panel data from 34 provinces in Indonesia from 2018 to 2021 which were analyzed using the panel data regression method. The Random Effect Model (REM) was chosen as the best model in this study with the results showing that Rice Productivity, Total Rice Consumption, and Protein Consumption have a positive and significant effect on the Level of Food Security.
Indeks Ekonomi Digital (IED): Pembentukan, Analisis, dan Implikasinya bagi Kebijakan Ekonomi Digital Level Provinsi Feriyanto, Muhamad; Lesmana, Muhammad Erza
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2429

Abstract

The rapidly growing global digital economy offers significant transformative potential for Indonesia. However, regional digital divides and the lack of comprehensive measurement tools are crucial issues that hinder the optimization of potential and the formulation of data-driven policies. This study aims to develop a Provincial Digital Economy Index (DEI) to measure the development of the digital economy in Indonesia. Three methods were used in the formation of the DEI: weighted average with PCA and entropy weights, and geometric mean. The results show that the PCA-weighted I is relatively more robust against extreme values. The PCA-weighted DEI has a strong positive correlation (