PENGARUH ANTARA LUAS PANEN DAN PRODUKTIVITAS TERHADAP PRODUKSI JAGUNG DI WILAYAH INDONESIA PADA TAHUN 2023

Fatika Syafitri; Deviyanti Faradilah; Arifudin Arifudin

doi:10.22437/jiseb.v27i02.33128

Authors

Fatika Syafitri IAIN Syekh Nurjati
Deviyanti Faradilah IAIN SYEKH NURJATI CIREBON
Arifudin Arifudin IAIN Syekh Nurjati

DOI:

https://doi.org/10.22437/jiseb.v27i02.33128

Keywords:

Corn Production, Food Security, Harvested Area, Panel Regression, Productivity

Abstract

Corn is a strategic commodity that can be used as a substitute for rice, therefore, corn production requires serious attention in efforts to support national food security. Harvested area and productivity are two key factors influencing corn production levels. Therefore, accurate analysis is needed to determine the extent to which these two factors impact corn production in an effort to strengthen food security. This study aims to analyze the influence of harvested area and productivity on corn production in various provinces in Indonesia in 2023. The method used is panel regression analysis, which allows testing the influence of independent variables (harvested area and productivity) on the dependent variable (corn production) by considering both time and regional dimensions. The results show that harvested area and productivity have a significant effect on corn production at the provincial level. Provinces with high harvested area and productivity tend to have greater corn production. However, there is variation between provinces due to differences in climate conditions and other factors. These findings have important implications for the planning and development of the corn agricultural sector, where targeted increases in harvested area and productivity can support increased national corn production. However, such improvement strategies need to be tailored to the characteristics of each region.

Downloads

Download data is not yet available.

References

Adebayo, E.F., & Onu, J.I. (2022). Economic analysis of maize production in sub-Saharan Africa: A review. African Journal of Agricultural Research, 17(3), 56–64.https://doi.org/10.5897/AJAR2021.16020

Central Bureau of Statistics. (2023). Indonesian Statistics 2023. BPS-Statistics Indonesia.

Dossou-Yovo, E.R., Kouame, L., & N'Guessan, B. (2022). Assessing technical efficiency in maize production in Côte d'Ivoire: Application of the stochastic frontier model. Heliyon, 8(12), e12201.https://doi.org/10.1016/j.heliyon.2022.e12201

F.A.O. (2021). The state of food and agriculture 2021: Making agrifood systems more resilient to shocks and stresses. Food and Agriculture Organization of the United Nations.https://doi.org/10.4060/cb4476en

F.A.O. (2022). FAOSTAT Statistical Database. Food and Agriculture Organization of the United Nations.https://www.fao.org/faostat/en/

Habib, A. (2015). Analysis of factors influencing corn production. AGRIUM: Journal of Agricultural Sciences, 18(1).

Hidayat, T. (2023). Growth and yield of sweet corn (Zea mays saccharata Sturt.) on several types of organic mulch and different planting distances. Jurnal Floratek, 18(1), 1–7.

Huynh, V. H., & Yabe, M. (2021). Economic and environmental efficiency of maize production in Southeast Asia: A meta-frontier DEA approach. Sustainability, 13(5), 2593.https://doi.org/10.3390/su13052593

Indaka, IN (2023). Analysis of factors influencing corn productivity in East Nusa Tenggara Province. Journal of Agricultural Socioeconomics, 12(1), 43–51.

Indaka, MBA (2023). Analysis of production factors influencing corn production in DIY in 2017–2021 using the Cobb–Douglass method. GROWTH: Scientific Journal of Development Economics, 2(1), 69–76.

Kafle, B., Amare, M., & Wani, S.P. (2021). Explaining productivity variations in maize production in sub-Saharan Africa. Agricultural Systems, 187, 102979.https://doi.org/10.1016/j.agsy.2020.102979

Nainggolan, JK, Kapantow, GHM, & Dumais, JNK (2023). Factors influencing corn production in Tendeki Village, Matuari District, Bitung City. Agri-Socioeconomics, 19(2).

Nainggolan, R., Lubis, MA, & Siregar, FA (2023). Corn distribution development strategy through strengthening farmer institutions. Indonesian Agribusiness Journal, 11(2), 122–131.

Nuraini, S., Wahyudi, A., & Nugraha, H. (2020). Utilization of corn as a raw material for the food and non-food industries. Journal of Food Technology and Industry, 31(1), 25–34.

Nuryanti, S., & Swastika, DKS (2018). Corn agribusiness development strategy: A study of efficiency and institutional challenges. Agro-Economic Research Forum, 36(1), 25–40.https://doi.org/10.21082/fae.v36n1.2018.25-40

Rarun, A.P., Wambrauw, K., & Kareth, G. (2023). Analysis of productivity and harvested area on corn production in West Papua. Journal of Applied Agribusiness, 7(2), 67–75.

Rarun, GB, Kathiandagho, TM, & Laoh, OE (2023). The effect of subsidized fertilizer use and land area on the total corn production in Watudambo Dua Village, Kauditan District. Journal of Agribusiness and Rural Development, 5(1), 22–32.

Reavindo, Q., & Bangun, RHB (2016). The effect of harvested area and production price on corn production in Karo Regency. Jurnal Agrica, 9(1), 74–79.

Sakinah, AA, Nikolaus, S., & Darlen, MF (2023). The impact of corn seed assistance from the TJPS program on corn production in Baumata Village, Taebenu District, Kupang Regency. IMPAS Scientific Bulletin, 24(2), 93–103.

Sakinah, N., Wahyuni, TS, & Prasetyo, E. (2023). Analysis of hybrid corn farming income in Bone Regency. Journal of Agribusiness and Agricultural Socioeconomics, 12(1), 33–40.

Saputra, DA, & Rachman, B. (2022). The role of fertilizer and agricultural machinery subsidies on corn farmers' income. Journal of Agricultural Economics and Agribusiness, 6(3), 212–223.

Setiawan, A., & Widodo, W. (2022). Application of precision agriculture in increasing corn yields: A case study in Central Java. Journal of Agricultural Technology, 23(1), 55–66.

Setyowati, H., Ramadhan, H., & Prasetyo, B. (2023). Determinants of corn productivity in Indonesia: A panel regression approach. Journal of Agricultural and Development Economics, 21(1), 1–11.

Siregar, H., & Anindita, R. (2018). Strategy for developing corn agribusiness as an industrial raw material. Journal of Agribusiness Science, 6(2), 133–140.

Smutka, L., Maitah, M., & Toth, D. (2022). Global maize trade and its importance in food security. Foods, 11(4), 530.https://doi.org/10.3390/foods11040530

Soekartawi. (2016). Agribusiness: Theory and its applications. Jakarta: RajaGrafindo Persada.

Suryana, A., & Saptana. (2015). Dynamics of agricultural and rural development: Implications for food development policy. Agro-Economic Research Forum, 33(2), 91–108.https://doi.org/10.21082/fae.v33n2.2015.91-108

Tedi, A. (2023a). Predicting corn production in Indonesia using the exponential smoothing method. Journal of Statistics and Computation, 9(1), 45–52.

Tedi, T. (2023b). Analysis of corn production forecasting using the exponential smoothing method in West Sumatra Province [Doctoral dissertation, Andalas University].

Todaro, M. P., & Smith, S. C. (2015). Economic development (12th ed.). Pearson.

Wangi, AD, & Adriansyah, D. (2023). Analysis of factors influencing corn kernel productivity in Kelubir Village, North Tanjung Palas District. Kaltara Agricultural Science Journal (JIPEK), 1(1), 6–13.

Wangi, M., & Adriansyah, D. (2023). Factors affecting corn crop damage during the main planting season. Journal of Tropical Agricultural Sciences, 8(1), 19–27.

Xu, X., Li, Y., & Zhang, W. (2020). Efficiency and sustainability of maize production in China: An analysis based on farm-level data. Journal of Cleaner Production, 244, 118837.https://doi.org/10.1016/j.jclepro.2019.118837