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International Journal Of Horticulture, Agriculture And Food Science(IJHAF)

Model Increasing Productivity and Sustainability of Lowland Rice Farming in Tanjung Jabung Barat District -Indonesia (With a SEM Partial Least Square Approach)

Yanuar Fitri , Saidin Nainggolan


International Journal of Horticulture, Agriculture and Food science(IJHAF), Vol-6,Issue-3, May - June 2022, Pages 14-21, 10.22161/ijhaf.6.3.3

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Article Info: Received: 20 Apr 2022; Received in revised form: 21 May 2022; Accepted: 26 May 2022; Available online:31 May 2022

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This study aims to analyze the structural model of the increase productivity and sustainability of rice farming in West Tanjung Jabung District. The data used are primary data obtained directly from farmers. The sample size used was 90 farmers. Sampling using simple random sampling method. The data analysis used the SEM Partial Least Square structural model. The results of the analysis show that the description of internal factors, external factors of farmers and the adoption of farming technology are in the medium category. The productivity and farming sustainability factors are in a low category. The determinant factor that greatly influences the productivity and sustainability of rice farming is farm income. Farm productivity and sustainability are significantly influenced by farmers 'access to credit, farmers' access to technology, and access to input procurement. The main determinant of productivity is the use of production inputs. The sustainability of farming is mainly determined by economic aspects, especially income. Models for increasing productivity and agricultural sustainability must pay attention to efforts to improve farmers' access to credit, access to technology and access to input procurement. Efforts are needed to handle the input output price for rice so that it can increase farmers' income.

Farming, Lowland, Model, Productivity, Sustainability.

[1] Ardiansyah, W. Susilawati, IS Asnawati. 2018. The Influence of Socio-Economic Factors on Corn Production in VII Koto District, Tebo Regency. Journal of Agri Sains 2 (1): 17-23.
[2] Central Bureau of Statistics. 2019. Tanjung Jabung Barat Regency in Numbers. Central Bureau of Statistics of West Tanjung Jabung Regency. West Tanjung Jabung.
[3] Bananiek S and Z Abidin. 2013. Factor- factors of social economic factor affected to technology adaption of integrated crop management paddy field in Southeast Sulawesi. Journal of assessment and development technology agriculture 16 (2): 111-121. Agricultural Technology Research Center. Southeast Sulawesi.
[4] Bashir MIA and D Koestiono. 2018. Analysis of Social Economic Factor affected to farmer's decision in delay grain selling program in Dusun Krajan, Selodokan Village, Sub-district Tanggul, Distric Jember. Journal of Agriculture Economic and Agribusiness (JEPA) 2 (3): 204 - 210. Faculty of Agriculture UB, Malang.
[5] Gunarto M. 2018. Statistical Analysis with Structural Equation Model (SEM): Theoretical & Practical. Bandung.Alfabeta.
[6] Hasibuan, Arfan. 2015. Food Self-Sufficiency or Farmers Welfare ?. Downloaded fromhttp://www.kompasiana.com/bang_buan/swasembada-pangan-atau-kese welfare-petani_5516d6e9813311ab64bc5fa7. (Accessed August 7, 2019).
[7] Hasrani NT and D Tangkesalu. 2013. Analysis Of Efficiency Used of Production Input Paddy Field Farming In Poleganyara Village Sub-District Pamona Timur Distric Poso. J. Agroland 19 (30): 200-206. Faculty of Agriculture Tadaluko University..Palu.
[8] Hoar E and Yosefina MF. 2017. The Effect of Farmers' Socio-Economic Factors on Corn Farming Production in Badari Village, Wewiku District, Malacca Regency Unimor Journal Portal (PJU). 2 (3): 36-38.
[9] Jaya I Gede NM, and IM Sumertajaya. 2008. Structural Equation Modeling with Partial Least Square. Teaching Staff of the Unpad Department of Statistics and the Department of Statistics of IPB.
[10] Latan H. 2012. Structural Equation Modeling Concepts and Applications Using the Lisrel 8.80 Program. Bandung. Alfabeta
[11] Nainggolan, S, Yanuar Fitri, Rirqi. 2019. Internal and External Factors, and Their Effects on the Productivity of Rice Paddy Farming in West Tanjung Jabung Regency. Faperta Unja. Jambi. Agribusiness Study Program
[12] Nainggolan, F, Viona and Lubis, J. 2019. Analysis of Factors Affecting the Sustainability of Pinang Farming, Master Program of Extension and Development Communication Study Program. IPB, Bogor.
[13] Nuryana. M. 2017. External Factors Affecting the Sustainability of Paddy Paddy Farming in Moras Regency. UMM, Malang.
[14] Rozandy RA, I Santoso and SA Putri. 2013. Analysis of variables affecting the level of technology adoption with the Partial Least Square method (a case study at the center of the tofu industry in Sendang Village, Banyakan Subdistrict, Kediri). Journal of Industry 1 (3): 147-158.
[15] Sukayat H and Rumna. 2017. Analysis of income and factors of Economic Social Affecteed The Result of Scientific Faculty of Economic Management (JIMFE). 3 (2): 37-48. Faculty of Economic UNB. Bogor
[16] Suratiyah, Ken. 2011. Agricultural Science. Penebar Swadaya , Jakarta.
[17] Tuwo, M. Akib. 2011. Farming Science Theory and Application Towards Success. Unhalu Press, Kendari.
[18] Wongkar DKR, WM Wangke, AE Loho, MLG Tarore. 2016. The relationship between farmers' socio-economic factors and the level of adoption of rice cultivation innovation in Kembang Mertha Village, East Dumoga District, Bolang Mongondow Regency. Agri-socioeconomics 12 (2): 15-32.
[19] Zuriani. 2013. Analysis of lowland rice production and productivity in North Aceh District. Journal of Economics and Development 4 (1): 59-64. Faperta UNIMA. Aceh