Productivity Optimization of Rainfed Rice Land in Nagari Pungasan Utara, Regency of Pesisir Selatan through Determinant Factor Analysis
DOI:
https://doi.org/10.1229/tecempresarialjournal.v18i1.171Abstract
This study aims to determine the productivity of land in rainfed lowland rice farming and analyze the factors that influence the productivity of the land in North Punggasan Nagari, Linggo Sari Baganti District, Pesisir Selatan Regency. This research was conducted in Nagari Punggasan Utara in June-July 2022. The method used is a survey method. The total population is 489 rainfed rice farmers with a total sample of 83 farmers. The data analysis method used is descriptive quantitative with multiple linear regression analysis. The results showed that the productivity of rainfed lowland rice was 3.09 tons/ha on average. Factors that affect land productivity (simultaneously) are land area, labour percentage in family (TKDK), labour percentage outside family (TKLK), use of NPK fertilizer, SP26 fertilizer, Urea fertilizer, pesticides, seeds, age, education, and experience. Partially the ones that have a significant effect are labour percentage outside family (TKLK), seeds, and pesticides. Meanwhile, land area, labour percentage in family (TKDK), NPK fertilizer, SP36 fertilizer, Urea fertilizer, age, education, and experience have no significant effect on the productivity of rainfed lowland rice. The coefficient of determination (R2) is 0.633. The need for machine and equipment assistance as well as the expansion of information on cultivation techniques to farmers in the form of training, counseling, and farming demonstrations so that farmers will be able to be more productive in carrying out their farming activities, so that land productivity increases and reduces the use of labor in the family.
References
Adhikary, D., Das, D., Ali, M. Y., Ullah, H., & Datta, A. (2023). Growth, Grain Yield, and Water Productivity of Traditional Rice Landraces from Coastal Bangladesh, as affected by salt stress. Journal of Crop Improvement, 37(1), 60-73.
Al-Adhaileh, M. H., & Aldhyani, T. H. (2022). Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia. PeerJ Computer Science, 8, e1104.
Dalimunthe, A. (2012). Analisis Komparasi Usahatani Padi Sawah Sistem Irigasi dengan Padi Sawah Sistem Tadah Hujan (Studi Kasus: Desa Bakaran Batu dan Kelurahan Paluh Kemiri Kecamatan Lubuk Pakam Kabupaten Deli Serdang) (Doctoral Dissertation, Universitas Sumatera Utara).
Dunđerski, D., Jaćimović, G., Crnobarac, J., Visković, J., & Latković, D. (2023). Using Digital Image Analysis to Estimate Corn Ear Traits in Agrotechnical Field Trials: The Case with Harvest Residues and Fertilization Regimes. Agriculture, 13(3), 732.
Dyikanova, M. E., Deniskina, N. F., Levshin, A. G., Gasparyan, S. V., Ivashova, O. N., & Gasparyan, I. N. (2022, December). The Influence of Agrotechnical Practices on the Early Production of Potatoes of the Red Scarlett Variety. In IOP Conference Series: Earth and Environmental Science (Vol. 1112, No. 1, p. 012097). IOP Publishing.
Hairuddin, R. (2020). The Growth and Production Improvement of Soybean Plant (Glycine max L.) by Applying the Local Microorganisms of Fruit Waste in Palopo. Agrotech Journal, 5(1), 22-26.
Hendri, J., & Purnamayani, R. (2021, February). Land Characteristics and Management for the Development of Geragai Agro Techno Park Jambi Province. In IOP Conference Series: Earth and Environmental Science (Vol. 648, No. 1, p. 012145). IOP Publishing.
Hidayah, U., Puspitorini, P., & Setya, A. (2016). Pengaruh Pemberian Pupuk Urea dan Pupuk Kandang Ayam terhadap Pertumbuhan dan Hasil Tanaman Jagung Manis (Zea mays Saccharata Sturt. L) Varietas Gendis. VIABEL: Jurnal Ilmiah Ilmu-Ilmu Pertanian, 10(1), 1-19.
Jamalludin, J. (2016). Analisis Faktor-Faktor yang Mempengaruhi Produksi Padi Varietas Unggul Nasional pada Sawah Tadah Hujan di Kecamatan Bangkinang Kabupaten Kampar. Dinamika Pertanian, 32(2), 107-114.
Kuleshova, T., Rao, A., Bhadra, S., Garlapati, V. K., Sharma, S., Kaushik, A., ... & Sevda, S. (2022). Plant Microbial Fuel Cells as an Innovative, Versatile Agro-Technology for Green Energy Generation Combined with Wastewater Treatment and Food Production. Biomass and Bioenergy, 167, 106629.
Lailiyah, N., Timisela, N. R., & Kaplale, R. (2018). Analisis Produksi Padi Sawah (Oryza sativa L) tadah hujan di Desa Lea Wai Kecamatan Seram Utara Timur Kobi. AGRILAN: Jurnal Agribisnis Kepulauan, 5(2), 151-165.
Lismawati, L., Noor, T. I., & Isyanto, A. Y. (2020). Faktor-Faktor yang Berpengaruh terhadap Produktivitas Usahatani Padi di Lahan Sawah Irigasi Pedesaan (Suatu Kasus di Desa Gunungsari Kecamatan Sadananya Kabupaten Ciamis). Jurnal Ilmiah Mahasiswa Agroinfo Galuh, 7(3), 676-683.
Mafor, K. I., Laoh, E. O., Dumais, J. N., & Lolowang, T. F. (2015, February). Analisis Faktor Produksi Padi Sawah di Desa Tompasobaru Dua Kecamatan Tompasobaru. In Cocos (Vol. 6, No. 2).
Mubyarto. (1989). Penyuluhan Pembangunan Pertanian. UNS Press. Surakata.
Musdalifah, A. P., Kandari, A. M., Hasid, R., Bahrun, A., Mamma, S., & Madiki, A. (2021). Effect of Cow Manure on Growth and Production of Peanut Plants in Sub Optimal Land. Asian Journal of Agricultural and Horticultural Research, 8(2), 38-47.
Olakunle, S. S., Omotayo, A. O., & Samuel, E. E. (2022). Analysis on Resource Use Efficiency of Smallholder's Rice Production Farmers in Federal Capital Territory of Nigeria: Probit Model Approach. AgroTech-Food Science, Technology and Environment, 1(1), 1-9.
Purwono & Purnawati. (2013). Budidaya dan Jenis Tanaman Pangan Unggul. Seri Agribisnis, Penebar Swadaya: Depok.
Putra, M, A, K., Widayaningsih N, & Binardjo, G. (2021). Analisis Faktor-Faktor yang Mempengaruhi Produktivitas Petani Padi Sawah di Kecamatan Karangreja Kabupaten Purbalingga. Jurnal Ekonomi, Bisnis dan Akuntasi (JEBA), Vol. 23 (2): 51.
Randika, R., Sidik, M., & Peroza, Y. (2021). Analisis Faktor-Faktor Yang Mempengaruhi Produksi Padi Sawah Di Desa Sepang Kecamatan Pampangan Kabupaten Oki. Jurnal Societa, Vol. 1 (2): 66 – 71.
Rensi, T. (2016). Analisis Faktor-Faktor yang Mempengaruhi Produksi Padi (Oriza Sativa L) Sawah Tadah Hujan di Desa Negeri Ratu Baru Kecamatan Bunga Mayang Kabupaten Oku Timur. Jurnal JASEP, Vol. 2 No. 2.
Sharma, L., Banerjee, M., Malik, G. C., Gopalakrishnan, V. A. K., Zodape, S. T., & Ghosh, A. (2017). Sustainable Agro-Technology for Enhancement of Rice Production in the Red and Lateritic Soils using Seaweed Based Biostimulants. Journal of Cleaner Production, 149, 968-975.
Sikora, J., Niemiec, M., Tabak, M., Gródek-Szostak, Z., Szeląg-Sikora, A., Kuboń, M., & Komorowska, M. (2020). Assessment of the Efficiency of Nitrogen Slow-Release Fertilizers in Integrated Production of Carrot Depending on Fertilization Strategy. Sustainability, 12(5), 1982.
Silvira, H., & Fauzia, L. (2013). Analisis Faktor-Faktor yang Mempengaruhi Produksi Padi Sawah (Studi Kasus: Desa Medang, Kecamatan Medang Deras, Kabupaten Batu Bara). Journal of Agriculture and Agribusiness, Vol. 2 (4).
Soekartawi, (2003). Agribisnis Teori dan Aplikasinya. Raja Grafindo Persada. Jakarta.
Suparmi. (1986). Ekonomi Pertanian. Karunika Jakarta Universitas Terbuka. Jakarta.
Utama, M. Z. (2015). Budidaya Padi pada Lahan Marjinal Kiat Meningkatkan Produksi Padi. CV. Andi Offset: Yogyakarta.
Wa Ode Nuraida, W. O. N., Pitra Pradipta R, P. P. R., Ni Wayan Sri Suliartini, N. W. S. S., Teguh Wijayanto, T. W., Muhidin, M., & Gusti Ray Sadimantara, G. R. S. (2020). Production and Quality of Upland Red Rice under the Shade Stress. International Journal of scientific & technology research, 9(3), 5016-5019.
Yuqi, P., Penghui, J., Manchun, L., & Dengshuai, C. (2022). Temporal Variation Analysis of Rice Yield in the Jiangsu Province, China: Application of Decision Support System for Agrotechnology Transfer Model. Global Journal of Agricultural Innovation, Research & Development, 9, 81-99.
Yurina, N. A., Yurin, D. A., Machneva, N. L., & Tsipinova, B. S. (2020, July). Protection and Rational Use of Land Resources When Using Local Natural Fertilizers of Sapropel. In International Conference on Policicies and Economics Measures for Agricultural Development (AgroDevEco 2020) (pp. 425-430). Atlantis Press.
Zhang, H., Tao, F., & Zhou, G. (2019). Potential Yields, Yield Gaps, and Optimal Agronomic Management Practices for Rice Production Systems in Different Regions of China. Agricultural Systems, 171, 100-112.
Zhumabekov, A. A., Bulanbayeva, P. U., Esalyeva, A., & Bolatov, A. (2019). The Effect of Different Irrigation Regimes on Rice Productivity in the Kyzylorda Region. Science Journal of Saken Seifullin Kazakh Agrotechnical University, (3), 4-16.
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