PREVENTIVE RISK MANAGEMENT STRATEGY FOR HYDROPONIC LETTUCE PRODUCTION AT CV SPIRIT WIRA UTAMA TANGERANG SELATAN BANTEN

Lilis Imamah Ichdayati, Muhamad Mahardika Abhirama, Armaeni Dwi Humaera, Zulmanery Zulmanery, Ahmad Mahbubi

Abstract


Agribusiness companies face various risks during their production period, which can harm their operations. For instance, CV Spirit Wira Utama, a company engaged in lettuce production, experiences an average of 25% harvest loss due to unmarketable quality. Therefore, preventive measures are necessary to reduce the impact of risk losses. This study aims to identify and measure the risks associated with hydroponic lettuce crop production, map them, and develop preventive risk management strategies. The research design used primary data sources from CV Spirit Wira Utama in South Tangerang, Banten. Data collection involved observation, systematic interviews, and structured questionnaires. Risk measurement was carried out during the lettuce production process using hydroponic systems. The analysis tool used fishbone diagrams, house of risk (HOR), and Pareto diagrams. The results showed that there were 35 risk events and 41 risk agents in lettuce crop production. The preventive risk management strategy should be given to the highest risk measurement value, which is the water temperature in the nutrient toren exceeding 27 C. The risk mapping results obtained a total of 22 risk agents with an impact of 80%, making them a top priority for risk prevention strategies. There are 29 risk prevention strategies available to prevent future risk events. This study's results are vital as the combination of three analytical tools can detect in detail the risks that arise and their impact. This information can help mitigate these risks and serve as a basis for preparing production risk SOPs.


Keywords


Hydroponic, house of risk, risk agent, risk event, risk prevention strategies

Full Text:

PDF
rticle

References


Ali, J., & Kapoor, S. (2008). Farmers’ perception on risks in fruits and vegetables production: an empirical study of Uttar Pradesh. Agricultural Economics Research Review, 21, 317-326.

Anugrah, D., Arifin, B., & Suryani, A. (2021). Analisis pendapatan dan risiko usahatani cabai merah Di Kecamatan Way Sulan Kabupaten Lampung Selatan. Jurnal Ilmu-Ilmu Agribisnis (JIIA), 9(2), 317- 324.

Asci, S., VanSickleb, J. J., & Cantliffec, D. J. (2014). Risk in investment decision making and greenhouse tomato production expansion in Florida. International Food and Agribusiness Management Review, 17(4), 1-26.

Aziz, N. A., Hanafiah, M. H., Hasbollah, H. R., Aziz, Z. A., & Hussin, S. (2022). Understanding the survival ability of franchise industries during the COVID-19 crisis in Malaysia. Sustainability, 14(6), 3212. Retrieved from https://doi.org/10.3390/su14063212

Bairwa, S. L., Kushwaha, S., & Bairwa, S. (2013). Managing risk and uncertainty in agriculture – A review. In Agricultural Education, Research and Extension in India (pp. 212-214). Chittupur, Varanasi, India: Poddar Publication.

Belitski, M., Guenther, C., Kritikos, A. S., & Thurik, R. (2022). Economic effects of the COVID-19 pandemic on entrepreneurship and small businesses. Small Bus Economics, 58, 593–609. Retrieved from https://doi.org/10.1007/s11187-021-00544-y

Belov, F. D., & Zvolinskaya, O. V. (2021). Basic principles of farming for effective development in a market economy. RUDN Journal of Economics, 29(4), 763-772.

Chabla, R. G., Aviles, K. R., Calle, K., Moran, C., Gavilanez, F., Jacome, D. A., & Chavez, C. (2019). A monitoring system for lettuce cultivation in an NFT hydroponic system: A case study. ICT for Agriculture and Environment, 49-58.

Charpentier, A., & Flachaire, E. (2019). Recent econometric techniques for macroeconomics and financial data. In Pareto models for risk management. Dynamic modeling and econometrics in economics and finance. Retrieved from https://www.researchgate.net/publication/338228361

Crisnapati, P. N., Wardana, I. N., & Hermawan, A. (2017, August). Hommons: hydroponic management and monitoring system for an IOT-based NFT farm using web technology. Conference Paper. doi:10.1109/CITSM.2017.8089268

Damayanti, Y., Nurchaini, D. S., & Ulma, R. O. (2023). Analisis Optimasi dan risiko usaha pada usahatani cabai merah di Kecamatan Kumpeh Kabupaten Muaro Jambi. SEPA (Jurnal Sosial Ekonomi Pertanian dan Agribisnis), 20(1), 84 – 95. Retrieved from https://dx.doi.org/10.20961/sepa.v20i1.56415

Gardjito, M., Widuri, H., & Ryan, S. (2015). Penanganan segar hortikultura untuk penyimpanan dan pemasaran. Jakarta: Prenadamedia.

Herwibowo, K., & Budiana, N. S. (2014). Hidroponik Sayuran. Jakarta: Penebar Swadaya.

Iskandar, M. J., Prasetyowati, R. E., & Anwar, M. (2024). Risiko Produksi Usahatani Padi Model Corporate Farming Di Jawa Tengah. SEPA (Jurnal Sosial Ekonomi Pertanian dan Agribisnis), 21(1), 42 – 51. Retrieved from https://dx.doi.org/10.20961/sepa.v21i1.61481

Kalogiannidis, S. (2020). Covid impact on small business. International Journal of Social Science and Economics Invention, 06(12), 387 – 391. Retrieved from https://doi.org/10.23958/ijssei/vol06-i12/257

Krasteva, D. G., & Dimcheva, I. (2020). Analysis of defects and their impact on the production losses using pareto diagrams. E3S Web of Conferences, 207(03007). Retrieved from https://doi.org/10.1051/e3sconf/202020703007

Kurniasih, D., Syaukat, Y., Nurmalina, R., & Suharno. (2023). Persepsi petani terhadap tingkat kekritisan risiko usahatani bawang putih dan strategi manajemen risikonya (studi kasus di Kabupaten Temanggung). Jurnal Penyuluhan, 19(02), 95-112. Retrieved from https://doi.org/10.25015/19202346082

Kuswandi, & Mutiara, E. (2004). Delta Delapan Langkah dan Tujuh Alat Statistik untuk Peningkatan Mutu Berbasis Komputer. Jakarta: Elex Media Komputindo.

Lennard, W., & Ward, J. (2019). A comparison of plant growth rates between an NFT hydroponic system and an NFT aquaponic system. Horticulture, 5(2), 27. doi:10.3390/horticulturae5020027

Nguyen, N. T., McInturf, S. A., & Mendoza-Cózatl, D. G. (2016). Hydroponic : a versatile system to study nutrient allocation and plant responses to nutrient availability and exposure to toxic elements. Biology. doi:10.3791/54317

Powell, T., & Sammut-Bonnici, T. (2017). Pareto analysis. In P. C. Cooper (Ed.), Wiley Encyclopedia of Management. John Wiley & Sons, Ltd.

Pujawan, I. N., & Geraldin, L. H. (2009). House of risk: a model for proactive supply chain risk management. Jurnal Business Process Management (JBPM), 15(6), 935-967. doi:10.1108/14637150911003801

Qadeer, A., Zia-Ul-Haq, Butt, S. J., Haidree, S. R., Mehmood, T., Nawaz, M. K., & Asam, H. M. (2020). Prospects of lettuce production in hydroponic agriculture: A review. International Journal of Biosciences (IJB), 608-626. Retrieved from http://www.innspub.net

Ramadhina, S., & Trimo, L. (2022). Faktor internal dan eksternal pengembangan agribisnis hortikultura petani muda. SEPA (Jurnal Sosial Ekonomi Pertanian dan Agribisnis), 18(2), 185 – 194. Retrieved from https://doi.org/10.20961/sepa.v18i2.49644

Rozudin, M., & Mahbubah, N. A. (2021). Implementasi metode house of risk pada pengelolaan risiko rantai pasokan hijau produk Bogie (studi kasus: PT Barata Indonesia). Jisi: Jurnal Integrasi Sistem Industri, 8(1), 1-11. Retrieved from http://jurnal.umj.ac.id/index.php/jisi

Utami, N. M., Endaryanto, T., & Adawiyah, R. (2023). Analisis rantai pasok sayuran hidroponik di Kota Bandar Lampung. Jurnal Ilmu Ilmu Agribisnis: Journal Of Agribussiness Science, 11(3), 173-180.

Velazquez-Gonzalez, R. S., Garcia-Garcia, A. L., Ventura-Zapata, E., Barceinas-Sanchez, J. D., & Sosa-Savedra, J. C. (2022). A review on hydroponics and the technologies associated for medium- and small-scale operations. Agriculture, 12(5), 646. Retrieved from https://doi.org/10.3390/agriculture 12050646

Wahyudin, N. E., & Santoso, I. (2016). Modelling of Risk Management for Product Development of Yogurt Drink Using House of Risk (HOR) Method. The Asian Journal of Technology Management (AJTM), 9(2), 98-108. doi:10.12695/ajtm.2016.9.2.4

Wahyuni, D., Nazaruddin, Muharrami, T. A., & Budiman, I. (2021). Identification of halal risk in risoles production using house of risk method. E3S Web of Conferences 332, 04003. Retrieved from https://doi.org/10.1051/e3sconf/202133204003

Wastra, A. R., & Mahmubi, A. (2013). Risiko Agribisnis. Jakarta: Gaung Persada Press Group.




DOI: https://doi.org/10.20961/sepa.v22i1.86437

Refbacks

  • There are currently no refbacks.


 

Creative Commons License