Risk Analysis of Red Chili Farming with an Irrigation System

https://doi.org/10.22146/ae.111691

Francy Risvansuna Fivintari(1*), Adelia Nur Fathia(2), Zuhud Rozaki(3), Heri Akhmadi(4), Nalini Arumugam(5), Wiwi Susanti(6), Francy Iriani Ekawati(7), Yunanto Yunanto(8)

(1) Agribusiness Department, Faculty of Agriculture, Universitas Muhammadiyah Yogyakarta, Indonesia
(2) Agribusiness Department, Faculty of Agriculture, Universitas Muhammadiyah Yogyakarta, Indonesia
(3) Agribusiness Department, Faculty of Agriculture, Universitas Muhammadiyah Yogyakarta, Indonesia
(4) Department of Agricultural and Resource Economics, Kangwon National University, South Korea
(5) Agriculture Sciences and Biotechnology Department, Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Malaysia
(6) Master of Agricultural Economics, Department of Agricultural Socioeconomics, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia
(7) Management Study Program, Faculty of Economy and Social Sciences, Universitas Trilogi, Jakarta, Indonesia
(8) Master of Management Agribusiness, Department of Agricultural Socioeconomics, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia
(*) Corresponding Author

Abstract


Red chili cultivation on marginal land such as coastal sandy lands faces agroclimatic challenges, including low nutrient content, high temperatures, and limited soil water-holding capacity. These constraints require appropriate manure application to improve soil structure and the selection of efficient irrigation systems to ensure adequate water availability. This study aimed to identify the factors influencing production and production risk in red chili farming under shower and non-shower irrigation systems on rice-field and coastal sandy lands in Bantul Regency. A total of 116 farmers were selected using a combination of random sampling and census techniques. Data were analyzed using the Cobb–Douglas production function to estimate the elasticity and contribution of production inputs, and the Just and Pope risk production model to evaluate the determinants of yield variability and production risk across irrigation and land-use systems. The results showed that several input variables significantly affect red chili production, namely land area, ZA fertilizer, Red Phonska, KCl, TSP, labor, and irrigation system. Land area, ZA fertilizer, and labor have positive and significant effects on output, whereas Red Phonska, KCl, and TSP fertilizers significantly reduce production. Red chili production differs significantly between non-shower irrigation systems and shower irrigation systems.. Risk analysis further revealed that land area and manure significantly increase production risk, and that coastal sandy land exhibits differs production risk than paddy fields. These findings highlight that irrigation selection, balanced fertilization strategies, and appropriate land-use choices are critical to improving productivity while mitigating production risk. Strengthened agricultural extension support is necessary to promote efficient input use, improved irrigation scheduling, and adaptive farm management in diverse agroecosystems.


Keywords


Coastal sandy land, Irrigation System, Production, Red Chili, Risk

Full Text:

PDF


References

Ado, A. M., Leshan, J., Savadogo, P., Bo, L., & Shah, A. A. (2019). Farmers’ awareness and perception of climate change impacts: case study of Aguie district in Niger. Environment, Development and Sustainability, 21(6), 2963–2977. https://doi.org/10.1007/s10668-018-0173-4

Al-Amin, A. K. M. A., & Hossain, M. J. (2019). Impact of non-farm income on welfare in rural Bangladesh: Multilevel mixed-effects regression approach. World Development Perspectives, 13, 95–102. https://doi.org/10.1016/j.wdp.2019.02.014

Atta, C., & Micheels, E. T. (2020a). Identifying risk in production agriculture: an application of best-worst scaling. International Food and Agribusiness Management Review, 23(2), 283–300. https://doi.org/10.22434/IFAMR2019.0133

Atta, C., & Micheels, E. T. (2020b). Identifying risk in production agriculture: An application of best-worst scaling. International Food and Agribusiness Management Review, 23(2), 283–300. https://doi.org/10.22434/IFAMR2019.0133

Baimagambetova, Z., Ismailova, R., Kassimbekova, M., Misnik, O., & Mataibaeva, G. (2018). Strategic methods for managing risk insurance in crop production. Journal of Applied Economic Sciences, 8(62), 2484 – 2492.

Basyarahil, A., Irham, I., & Waluyati, L. R. (2016). How to mitigate the production risks on coastal red chilli farming in Kulon Progo regency. Ilmu Pertanian (Agricultural Science), 1(1), 037. https://doi.org/10.22146/ipas.9295

Burbano-Figueroa, O., Sierra-Monroy, A., David-Hinestroza, A., Whitney, C., Borgemeister, C., & Luedeling, E. (2022). Farm-planning under risk: An application of decision analysis and portfolio theory for the assessment of crop diversification strategies in horticultural systems. Agricultural Systems, 199, 103409. https://doi.org/10.1016/j.agsy.2022.103409

Cochran, W. G. (1991). Sampling Techniques, 3rd Edition. Wiley.

El-Naggar, A. H., Usman, A. R. A., Al-Omran, A., Ok, Y. S., Ahmad, M., & Al-Wabel, M. I. (2015). Carbon mineralization and nutrient availability in calcareous sandy soils amended with woody waste biochar. Chemosphere, 138, 67–73. https://doi.org/10.1016/j.chemosphere.2015.05.052

Fang, J., & Su, Y. (2019). Effects of Soils and Irrigation Volume on Maize Yield, Irrigation Water Productivity, and Nitrogen Uptake. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-41447-z

Faruq-Uz-Zaman, M. (2021). Contribution of Factors Affecting Crop Production in Bangladesh: An Empirical Analysis with Production Function Approach. Journal of Economics and Business, 4(2). https://doi.org/10.31014/aior.1992.04.02.345

Fauzi, T., Mujiburrahmad, Baihaqi, A., Romano, & Ramayana. (2021). Study on liability and farm handling of high value agricultural commodities in Aceh. IOP Conference Series: Earth and Environmental Science, 667(1). https://doi.org/10.1088/1755-1315/667/1/012098

Ginting, D. R. B., & Ramli. (2025). The Effect of Land Area, Selling Price and Farming Costs on the Income of Red Chili Farmers in Lingga Village, North Sumatra. Talenta Conference Series: Local Wisdom, Social, and Arts, 8(1). https://doi.org/https://doi.org/10.32734/lwsa.v8i1.2373

Gutiérrez-Gómez, C., Carrillo-Avila, E., Landeros-Sánchez, C., Coh-Méndez, D., Monsalvo-Espinosa, A., Arreola-Enríquez, J., & Pimentel-López, J. (2018). Soil moisture tension as an alternative for improving sustainable use of irrigation water for habanero chilies (Capsicum chinense Jacq.). Agricultural Water Management, 204, 28–37. https://doi.org/10.1016/j.agwat.2018.03.038

Hariyani, N., Koestiono, D., & Muhaimin, A. W. (2017). the Risk Level of Production and Price of Red Chili Farming in Kediri Regency, East Java Province, Indonesia. Agricultural Socio-Economics Journal, 17(2), 81–87. https://doi.org/10.21776/ub.agrise.2017.017.2.5

Hryvkivska, O. V., Karpinskyi, R. M., & Prystеmskyi, O. S. (2024). Innovative management of the production risks of agricultural enterprises. Journal of Global Innovations in Agricultural Sciences, 12(2), 1–17. https://doi.org/10.22194/JGIAS/24.1250

Hryvkivska, O. V., Karpinskyi, R. M., Prystеmskyi, O. S., Andrushchenko, M. V., & Namliieva, N. V. (2024). Innovative management of the production risks of agricultural enterprises. Journal of Global Innovations in Agricultural Sciences, 12(1), 1–17. https://doi.org/10.22194/JGIAS/24.1250

Just, R. E., & Pope, R. D. (1979). Production function estimation and related risk considerations. American Journal of Agricultural Economics, 61(2), 276–284. https://doi.org/10.2307/1239732

Karmini. (2018). Ekonomi Produksi Pertanian. Mulawarman University Press.

Khakhula, B., Kostyuk, O., Lanchenko, O., Antonyuk, H., & Homon, O. (2023). Innovative tools for risk management of the production activities of agricultural enterprises in an institutional environment. Scientific Horizons, 27(2), 136–153. https://doi.org/10.48077/scihor2.2024.136

Kianpour, K., Jusoh, A., Mardani, A., Streimikiene, D., Cavallaro, F., Nor, K. M., & Zavadskas, E. K. (2017). Factors influencing consumers’ intention to return the end of life electronic products through reverse supply chain management for reuse, repair and recycling. Sustainability (Switzerland), 9(9). https://doi.org/10.3390/su9091657

Maniriho, A., & Bizoza, A. R. (2018). The Determinants of Agricultural Production in Musanze District, Rwanda. Researcher, 8(10), 39–46. https://doi.org/10.7537/marsrsj081016.07

Mugagga, F., Nimusiima, A., & Elepu, J. (2020). An Appraisal of Adaptation Measures to Climate Variability by Smallholder Irish Potato Farmers in South Western Uganda. In American Journal of Climate Change (Vol. 09, Issue 03, pp. 228–242). scirp.org. https://doi.org/10.4236/ajcc.2020.93015

Munir, M. S., Bajwa, I. S., Naeem, M. A., & Ramzan, B. (2018). Design and implementation of an IoT system for smart energy consumption and smart irrigation in tunnel farming. Energies, 11(12). https://doi.org/10.3390/en11123427

Naziullah, A., Supriyo, A., Sari, R. M., & Suherman, S. (2021). Volatilitas Dan Risiko Harga Cabai Merah Keriting (Suatu Kasus Di Pasar Baru Kranggot Kota Cilegon). JURNAL AGRIBISNIS TERPADU, 14(1), 68. https://doi.org/10.33512/jat.v14i1.11459

Nuraini, C., & Widi, R. W. (2020). Efficiency Analysis of Curly Red Chili in Tasikmalaya Regency. Seminat Nasional Polbangtan Yogyakarta-Magelang, 50–59.

Pan, D., Kong, F., Zhang, N., & Ying, R. (2017). Knowledge training and the change of fertilizer use intensity: Evidence from wheat farmers in China. Journal of Environmental Management, 197, 130–139. https://doi.org/10.1016/j.jenvman.2017.03.069

Pitaloka, D. (2020). Hortikultura: Potensi, Pengembangan Dan Tantangan. Jurnal Teknologi Terapan: G-Tech, 1(1), 1–4. https://doi.org/10.33379/gtech.v1i1.260

Rahmadanti, I. S., Zakaria, W. A., & Marlina, L. (2021). Analisis Pendapatan Usahatani Dan Faktor-Faktor Yang Mempengaruhi Produksi Cabai Merah Di Desa Trimulyo Kecamatan Tegineneng Kabupaten Pesawaran. Jurnal Ilmu-Ilmu Agribisnis, 8(2), 183. https://doi.org/10.23960/jiia.v9i2.5074

Rahmawati, N., Yogatama, C., Winahyu, W., & Binti Kasim, A. (2023a). Production Risk Analysis for Organic Cabbage Farming in Semarang District, Central Java. E3S Web of Conferences, 444, 02053. https://doi.org/10.1051/e3sconf/202344402053

Rahmawati, N., Yogatama, C., Winahyu, W., & Binti Kasim, A. (2023b). Production Risk Analysis for Organic Cabbage Farming in Semarang District, Central Java. E3S Web of Conferences, 444. https://doi.org/10.1051/e3sconf/202344402053

Risvansuna, F. F., Salaf, I. H., & Barnabas, T. (2023). Feasibility and Risk Analysis of Red Chili Farming With Irrigation Systems on Coastal Sandy Land, Bantul. E3S Web of Conferences, 444, 02039. https://doi.org/10.1051/e3sconf/202344402039

Risvansuna Fivintari, F., & Darmayanti, A. (2022). Effect of Irrigation System on Production and Profit in Red Chili Farming on Rice Land, Kretek District, Bantul Regency. E3S Web of Conferences, 361, 10. https://doi.org/10.1051/e3sconf/202236102029

Sembiring, A., Basuki, R. S., Rosliani, R., & Rahayu, S. T. (2021). Farmers’ challenges on chili farming in the acid dry land: A case study from Pasir Madang-Bogor Regency, Indonesia. E3S Web of Conferences, 316. https://doi.org/10.1051/e3sconf/202131603010

Siswadi, B., Sari, D. K., & Maula, L. R. (2025). Production risk and its determinants in soybean farming: Evidence from three major production centers in East Java, Indonesia. BIO Web of Conferences, 201, 02010. https://doi.org/10.1051/bioconf/202520102010

Sudman, S. (1976). Applied sampling. Academic Press.

Susanawati, Akhmadi, H., Fauzan, M., & Rozaki, Z. (2021). Supply chain efficiency of red chili based on the performance measurement system in Yogyakarta, Indonesia. Open Agriculture, 6(1), 202–211. https://doi.org/10.1515/opag-2021-0224

Suswadi, Safitri, S. N., Prasetyowati, K., Prasetyo, A., & Kartikasari, R. D. (2021). Analysis of factors affecting income of organic curly red chili (Capsicum annum L.) in Gedangan Village, Cepogo District, Boyolali Regency. IOP Conference Series: Earth and Environmental Science, 905(1). https://doi.org/10.1088/1755-1315/905/1/012079

Uddameri, V., Ghaseminejad, A., & Hernandez, E. A. (2020). A tiered stochastic framework for assessing crop yield loss risks due to water scarcity under different uncertainty levels. Agricultural Water Management, 238, 106226. https://doi.org/10.1016/j.agwat.2020.106226

Xiang, Y., Zou, H., Zhang, F., Wu, Y., Yan, S., Zhang, X., Tian, J., Qiang, S., Wang, H., & Zhou, H. (2018). Optimization of Controlled Water and Nitrogen Fertigation on Greenhouse Culture of Capsicum annuum. Scientific World Journal, 2018. https://doi.org/10.1155/2018/9207181

Yi, B., Zhang, Q., Gu, C., Li, J., Abbas, T., & Di, H. (2018). Effects of different fertilization regimes on nitrogen and phosphorus losses by surface runoff and bacterial community in a vegetable soil. Journal of Soils and Sediments, 18(11), 3186–3196. https://doi.org/10.1007/s11368-018-1991-6

Yusmaini, Usman, M., Safrida, & Kasimin, S. (2021). Efficiency analysis of red chili farming in Pidie Jaya Aceh. IOP Conference Series: Earth and Environmental Science, 644(1), 012066. https://doi.org/10.1088/1755-1315/644/1/012066

Zhen, H., Qiao, Y., Meng, F., Li, H., Liu, Y., Jia, Y., Zanoli, R., Gambelli, D., & Solfanelli, F. (2020). Developing risk indicator system of non-compliance for organic crop farms based on China organic regulations. Ecological Indicators, 114. https://doi.org/10.1016/j.ecolind.2020.106317

Zheng, S.-F., Mou, X.-R., & Zhang, Z.-Z. (2018). Analysis on the production efficiency and restriction factors of Chinese rice based on DEA model. Journal of Discrete Mathematical Sciences and Cryptography, 21(6), 1215–1218. https://doi.org/10.1080/09720529.2018.1525130



DOI: https://doi.org/10.22146/ae.111691

Article Metrics

Abstract views : 148 | views : 122

Refbacks

  • There are currently no refbacks.




Copyright (c) 2025 Agro Ekonomi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

📘 Agro Ekonomi

Department of Agricultural Socio-economics
Faculty of Agriculture, Universitas Gadjah Mada
Jl Flora Bulaksumur, Yogyakarta, Indonesia

📩 Contact

Executive Editor: Agus Dwi Nugroho
Email: agroekonomi@ugm.ac.id
Phone: (+62) 8112643203

AGRO EKONOMI indexed by :

View My Stats