PERAMALAN VOLUME IMPOR BERAS DAN FAKTOR YANG MEMENGARUHI IMPOR BERAS DI INDONESIA

Penulis

  • Budi Yoko Universitas Jenderal Soedirman image/svg+xml Penulis
  • Muhammad Oktavianto Darmawan Penulis
  • Dindy Darmawati Putri Penulis

Kata Kunci:

ARIMA, food security, forecasting, rice imports

Abstrak

Rice is a strategic food commodity that plays a crucial role in maintaining national food security in Indonesia. In recent years, rice import volume has increased substantially due to declining domestic production and growing consumption demand. This study aims to analyze the trend of rice imports in Indonesia, forecast rice import volume for the 2025–2026 period, and identify the factors influencing rice imports. A quantitative approach was employed using monthly time-series data from January 2020 to December 2024 obtained from Statistics Indonesia, the Ministry of Agriculture, the World Bank, and Bank Indonesia. Data were analyzed using trend analysis, Autoregressive Integrated Moving Average (ARIMA) forecasting, and multiple linear regression. The results reveal a substantial increase in rice import volume, particularly since 2023. ARIMA (2,1,4) was identified as the best forecasting model, indicating that rice imports are expected to continue increasing throughout 2025–2026. Regression results show that domestic rice production has a significant negative effect on rice imports, while domestic rice prices and international rice prices have significant positive effects. In contrast, rice consumption and the exchange rate of the Indonesian rupiah against the US dollar do not significantly affect rice imports. These findings highlight the importance of strengthening domestic rice production and implementing more adaptive import policies to support national food security.

Referensi

Anggraeni, N. Y., Marseto, & Sishadiyati. (2023). Analisis Faktor – Faktor Yang Mempengaruhi Impor Beras Di Indonesia. Jurnal Ekonomi, Bisnis Dan Manajemen, 2(4), 299–314. https://doi.org/10.58192/ebismen.v2i4.1417

Badulescu, Y., Hameri, A.-P., & Cheikhrouhou, N. (2021). Evaluating demand forecasting models using multi-criteria decision-making approach. Journal of Advances in Management Research, 18(5), 661–683. https://doi.org/10.1108/JAMR-05-2020-0080

Baffes, J., & Gardner, B. (2003). The transmission of world commodity prices to domestic markets under policy reforms in developing countries. The Journal of Policy Reform, 6(3), 159–180. https://doi.org/10.1080/0951274032000175770

Bidarkota, P., & Crucini, M. J. (2000). Commodity Prices and the Terms of Trade. Review of International Economics, 8(4), 647–666. https://doi.org/10.1111/1467-9396.00248

Bordo, M. D., Taylor, A. M., & Williamson, J. G. (2007). Globalization in Historical Perspective. University of Chicago Press.

BPS, B. P. S. (2025). Statistik Beras Indonesia 2020–2024. BPS.

Budiman, N. D., & Santu, L. (2024). Kajian Strategi Dan Kebijakan Pemerintah Indonesia Dalam Mencapai Target Swasembada Beras. Jurnal Pertanian Cemara, 21(2), 125–136. https://doi.org/10.24929/fp.v21i2.3888

Fazaria, D. A., Hakim, D. B., & Sahara, S. (2016). Analisis Integrasi Harga Lada Di Pasar Domestik Dan Internasional. Buletin Ilmiah Litbang Perdagangan, 10(2), 225–242. https://doi.org/10.30908/bilp.v10i2.55

Habibah, L., Futri, A., Khuzaeri, A. P., Farel Shidqi, Wulan Agustia Winata, & Deris Desmawan. (2024). Beras Sebagai Makanan Pokok: Faktor Penyebab Ketergantungan Dan Dampaknya Terhadap Perekonomian Indonesia. Bursa : Jurnal Ekonomi Dan Bisnis, 3(2), 110–114. https://doi.org/10.59086/jeb.v3i2.570

Kemenko Pangan, K. K. B. P. R. (2025, April 24). Stok beras cukup, Zulhas: RI tidak akan impor beras hingga 2026 [Website]. https://kemenkopangan.go.id/detail-berita/stok-beras-cukup-zulhas-ri-tidak-akan-impor-beras-hingga-2026

Khotimah, N., Ramayanti, S., & Aprilianto, P. (2023). Forecasting Ketahanan Pangan Nasional Melalui Produktivitas Hasil Pertanian Di Provinsi Sumatera Selatan (Studi Kasus Rice Estate). TheJournalish: Social and Government, 4(5). https://doi.org/10.55314/tsg.v4i5.613

Kmytiuk, T., Majore, G., & Bilyk, T. (2024). Time series forecasting of price of the agricultural products using data science [Pdf]. 692.9 kB. https://doi.org/10.22004/AG.ECON.355972

Kurniawan, F. A. A., Ramadhani, I., & Fitrie, R. A. (2024). Analisis Pengambilan Keputusan Kebijakan Impor Beras dalam Konteks Pemenuhan Pangan Nasional di Indonesia. Indonesian Journal of Public Administration Review, 1(2), 15. https://doi.org/10.47134/par.v1i2.2394

Lubis, R. M. F., Situmorang, Z., & Rosnelly, R. (2021). Autoregressive Integrated Moving Average (ARIMA-Box Jenkins) Pada Peramalan Komoditas Cabai Merah di Indonesia. Jurnal Media Informatika Budidarma, 5(2), 485. https://doi.org/10.30865/mib.v5i2.2927

McCulloch, N., & Peter Timmer, C. (2008). Rice Policy In Indonesia: A Special Issue. Bulletin of Indonesian Economic Studies, 44(1), 33–44. https://doi.org/10.1080/00074910802001561

Mélard, G., & Pasteels, J.-M. (2000). Automatic ARIMA modeling including interventions, using time series expert software. International Journal of Forecasting, 16(4), 497–508. https://doi.org/10.1016/S0169-2070(00)00067-4

Mubarok, S., & Anjani, D. A. R. (2025). Dampak Impor Beras Terhadap Ketahanan Pangan Dan Petani Lokal Di Indonesia. Jurnal Pertanian Cemara, 22(1), 33–41. https://doi.org/10.24929/fp.v22i1.4272

Muhammad, H., Hendrarini, H., & Mubarokah. (2023). Analisis Faktor-Faktor Yang Memengaruhi Impor Beras di Indonesia. Jurnal Pertanian Agros, 25(1), 1023–1035.

Muthayya, S., Sugimoto, J. D., Montgomery, S., & Maberly, G. F. (2014). An overview of global rice production, supply, trade, and consumption. Annals of the New York Academy of Sciences, 1324(1), 7–14. https://doi.org/10.1111/nyas.12540

Namany, S., Govindan, R., Alfagih, L., McKay, G., & Al-Ansari, T. (2020). Sustainable food security decision-making: An agent-based modelling approach. Journal of Cleaner Production, 255, 120296. https://doi.org/10.1016/j.jclepro.2020.120296

Nikolopoulos, K., Punia, S., Schäfers, A., Tsinopoulos, C., & Vasilakis, C. (2021). Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions. European Journal of Operational Research, 290(1), 99–115. https://doi.org/10.1016/j.ejor.2020.08.001

Nurfadila, K. & Ilham Aksan. (2020). Aplikasi Metode Arima Box-Jenkins Untuk Meramalkan Penggunaan Harian Data Seluler. Journal of Mathematics: Theory and Applications, 5–10. https://doi.org/10.31605/jomta.v2i1.749

Purwandari, R. E., Adhitya, B., & Fatmawati, A. (2024). Analisis Faktor-Faktor Yang Mempengaruhi Impor Beras Di Indonesia. Journal of Economic, Bussines and Accounting (COSTING), 1(1), 72–89.

Rahmawati, S., & Rozaini, N. (2023). Analisis Faktor-Faktor Yang Mempengaruhi Impor Beras Di Sumatera Utara. Journal of Management and Social Sciences (JIMAS), 2.

Smith, V. H., & Glauber, J. W. (2020). Trade, policy, and food security. Agricultural Economics, 51(1), 159–171. https://doi.org/10.1111/agec.12547

Sutardi, Apriyana, Y., Rejekiningrum, P., Alifia, A. D., Ramadhani, F., Darwis, V., Setyowati, N., Setyono, D. E. D., Gunawan, Malik, A., Abdullah, S., Muslimin, Wibawa, W., Triastono, J., Yusuf, Arianti, F. D., & Fadwiwati, A. Y. (2022). The Transformation of Rice Crop Technology in Indonesia: Innovation and Sustainable Food Security. Agronomy, 13(1), 1. https://doi.org/10.3390/agronomy13010001

Troccoli, A., Harrison, M., Anderson, D. L. T., & Mason, S. J. (Eds.). (2008). Seasonal Climate: Forecasting and Managing Risk (Vol. 82). Springer Netherlands. https://doi.org/10.1007/978-1-4020-6992-5

Viona, M., Nabila, Katanging, D. G., & Candra, M. (2025). Ekonomi Politik Ketahanan Pangan di Indonesia: Peran Negara Dalam Menghadapi Krisis Pangan. https://doi.org/10.5281/ZENODO.15613605

Yoko, B. (2016). Analisis Permintaan Pembiayaan Pertanian Syariah Untuk Usahatani Padi Di Kabupaten Lampung Tengah. Jurnal Bisnis Tani, 2(1), 41–54.

Diterbitkan

2026-06-29