Mixed linear model for investigating food security during the covid-19 pandemic: Panel data for rice consumption in indonesia
DOI:
https://doi.org/10.58524/app.sci.def.v1i1.174Keywords:
Crime Rate, Food Security, Longitudinal Data Analysis, Mixed Linear ModelAbstract
The Covid-19 pandemic has affected human life behavior, starting from health, the economy to living habits, one of them is the rice consumption. This study aims to find out whether the Covid-19 pandemic can affect people's rice consumption, and what are the factors that can affect people's rice consumption before and during the pandemic. The independent factors studied in this study were harvested area, productivity, rice production, crime rate, and the ratio of household gas use, with rice consumption as the dependent variable. The data used is panel data for 2019 and 2020, from 34 provinces in Indonesia, which is one of the five countries with the highest rice consumption in the world. By using mixed linear models, the research results show that in general Covid-19 pandemic has not had a significant effect on rice consumption in Indonesia. Other facts also show that social factors, namely the crime rate during a pandemic, did not have a significant effect on rice consumption.However, this is different from economic factors such as productivity and harvested area which have a significant positive effect on rice consumption in Indonesia.
References
Andrejko, K. L., Myers, J. F., Openshaw, J., Fukui, N., Li, S., Watt, J. P., Murray, E. L., Hoover, C., Lewnard, J. A., Jain, S., & Pry, J. M. (2022). Receipt of COVID-19 and seasonal influenza vaccines in California (USA) during the 2021–2022 influenza season. Vaccine, 41(6), 1190-1197. https://doi.org/10.1016/j.vaccine.2022.12.052
Asrin, S., Andita Putri, T., & Utami, A. D. (2022). Transmisi harga beras di Indonesia pada masa pandemi Covid-19. Jurnal Agribisnis Indonesia, 10(1), 159–168. https://doi.org/10.29244/jai.2022.10.1.159-168
Ayun, Q., Kurniawan, S., & Saputro, W. (2020). Perkembangan konversi lahan pertanian di bagian negara agraris. Jurnal Ilmu Pertanian Tropika Dan Subtropika, 5(2), 38–44. https://jurnal.untidar.ac.id/index.php/vigor/article/view/3040
D’Antonio, M., Nguyen, J. P., Arthur, T. D., Matsui, H., D’Antonio-Chronowska, A., Frazer, K. A., Neale, B. M., Daly, M., Ganna, A., Stevens, C., Pathak, G. A., Andrews, S. J., Kanai, M., Cordioli, M., Ganna, A., Karjalainen, J., Pathak, G. A., Polimanti, R., Andrews, S. J., … Zyndorf, M. (2021). SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues. Cell Reports, 37(7), 110020. https://doi.org/10.1016/j.celrep.2021.110020
Hidayat, A., Mujtahid, Z., Elisyah, N., Qausar, H., & Widya, W. (2022). Analisis data longitudinal dalam mendeteksi faktor substansial yang mempengaruhi hasil belajar matematika siswa MA Al Hikmah 2 Benda Brebes. PARADIKMA: Jurnal Pendidikan Matematika, 15(2), 74–78. https://jurnal.unimed.ac.id/2012/index.php/paradikma/article/view/41338
Hui, D. S., I Azhar, E., Madani, T. A., Ntoumi, F., Kock, R., Dar, O., Ippolito, G., Mchugh, T. D., Memish, Z. A., Drosten, C., Zumla, A., & Petersen, E. (2020). The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health — The latest 2019 novel coronavirus outbreak in Wuhan, China. International Journal of Infectious Diseases, 91, 264–266. https://doi.org/10.1016/j.ijid.2020.01.009
Isnawati, D., Lestari, W., & Jati, A. (2022). Analisis permintaan bahan pokok beras pada saat pandemi Covid-19 di Indonesia. Nomicpedia: Journal of Economics and Business Innovation, 2(1), 83–92. https://journal.inspirasi.or.id/nomicpedia/article/view/142
Meysani, T., Tantular, B., & Arisanti, R. (2020). Linear mixed model pada incidence rate TB paru di kota Bandung. Prosiding Seminar Nasional Statistika IX (SNS). 2020, 1–5. http://prosiding.statistics.unpad.ac.id/index.php/prosidingnasional/article/view/163
Simanjuntak, A., & Erwinsyah, R. (2020). Kesejahteraan petani dan ketahanan pangan pada masa pandemi Covid-19: telaah kritis terhadap rencana megaproyek lumbung pangan nasional Indonesia. Sosio Informa, 6(2), 184–204. https://ejournal.kemensos.go.id/index.php/Sosioinforma/article/view/2332
Simbolon, J., Suparman, Y., & Pontoh, R. (2022). Linier mixed model dalam mengevaluasi efektifitas eye movement desensitization pada pasien posttraumatic stress disorder. Seminar Nasional Statistika Aktuaria I, 1–10.
http://biastatistics.statistics.unpad.ac.id/index.php/biastatistics/article/view/148
Sitorus, E. (2022). The effect of Covid-19 on rice prices, farmers exchange rates and poverty in rural areas. Journal of Agricultural and Agribusiness Economics, 6(3), 872.
Sunjaya, B. A., Permai, S. D., & Gunawan, A. A. S. (2023). Forecasting of Covid-19 positive cases in Indonesia using long short-term memory (LSTM). Procedia Computer Science, 216, 177–185. https://doi.org/10.1016/j.procs.2022.12.125
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Copyright (c) 2023 Mutiara Aghnyn Aisyah, Devita Amalia Putri, Yoshua Chandra, Muhamad Syazali, Amir Machmud, Ro'fah Nur Rachmawati
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