scholarly journals ANALISIS PENGAMBILAN KEPUTUSAN PETANI: KASUS PERALIHAN USAHATANI PADI KE USAHATANI IKAN DI DESA BUNKATE KECAMATAN JONGGAT KABUPATEN LOMBOK TENGAH

Author(s):  
Yupi Ratnasari ◽  
Abdullah Usman ◽  
Muhammad Siddik

ABSTRAK Tujuan penelitian ini adalah: menganalisis faktor-faktor yang mempengaruhi keputusan petani dalam melakukan peralihan usahatani padi ke usahatani ikan. Penelitian ini menggunakan metode deskriptif dan teknik pengumpulan data yang digunakan adalah teknik survei dan wawancara. Unit analisis penelitian ini adalah petani padi dan petani ikan di desa Bunkate. Penelitian ini dilakukan di Desa Bunkate, berdasarkan data petani ikan terbesar di Kecamatan Jonggat. Jumlah responden ditetapkan secara “Quota Sampling” sebanyak 44 orang, 22 orang petani padi dan 22 orang petani ikan. Analisis data yang digunakan adalah: analisis regresi logistik dan analisis uji t. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi peralihan usahatani padi ke usahatani ikan adalah pendapatan. Hal ini disebabkan oleh pendapatan usahatani ikan yaitu Rp. 122.752.923/ha lebih besar dibandingkan dengan pendapatan usahatani padi Rp. 13.183.734/ha. Modal, luas lahan, jumlah tanggungan keluarga dan resiko usahatani tidak berpengaruh nyata terhadap pengambilan keputusan petani melakukan peralihan usahatani. Nilai R/C ratio pada usahatani padi lebih kecil dibandingkan dengan usahatani ikan. Hal ini desabkan oleh produksi dan harga produk pada usahatani ikan lebih besar dibandingkan dengan produksi dan harga produk pada usahatani padi.   ABSTRACT                The purpose of this research is to analyze the factors that influence the decision of farmers in making the transition of rice farming to fish farming. This research uses descriptive method and data collection technique used is survey and interview technique. The unit of analysis of this research is rice farmers and fish farmers in Bunkate village. This research was conducted in Bunkate Village, based on the data of the biggest fish farmer in Jonggat District. The number of respondents is determined by "Quota Sampling" as many as 44 people, 22 rice farmers and 22 fish farmers. Data analysis used were: analysis of factors influencing rice farming transition to fish farming, and income comparison analysis between rice farming and fish farming. The results showed that the factors affecting the shift of rice farming to fish farming were income. This is caused by the income of fish farming is Rp. 122.752.923 / ha greater than the income of rice farming Rp. 13,183,734 / ha. Capital, land area, number of family dependent and farming risk have no significant effect to farmer's decision making to make farming transition. The value of R / C ratio in rice farming is smaller than fish farming. This is explained by the production and price of products in fish farming is greater than the production and price of products in rice farming.  

2021 ◽  
Vol 9 (3) ◽  
pp. 462
Author(s):  
Roni Mustofa ◽  
Dyah Aring Hepiana Lestari ◽  
Muhammad Irfan Affandi

This study aims to analyze the economic benefits, income of rice farming, allocation of credit usage and analyze the factors affecting the chances of the smoothness rate of return at Seandanan Agricultural Cooperatives. The research is conducted at Seandanan Agricultural Cooperative in Pesawaran Regency, Lampung Province, which is determined intentionally.  The research data were taken in July 2019.  This study uses a case study method.  Respondents in this study are 70 rice farmers member of Seandanan Agricultural Cooperative. The data analysis method use descriptive qualitative and quantitative analyses. The results showed that the economic benefits received by members of cooperative in one year is IDR1,711,312.47 and in high category. The average income of rice farming received by members of the Seandanan Agricultural Cooperative in one year has been classified as high, in the amount over cash costs and over total costs, respectively, of IDR17,308,552.78 and IDR16,416,268.56.  Allocation of credit of cooperative membersconsistd of 58.85% for productive activities and the rest, 41.15% for consumptive activities.  Factors that affect the chances of the smoothness rate of credit return by rice farmers members of Seandanan Agricultural Cooperative are the education level of farmers and the allocation of productive credit usage.Key words: agricultural cooperatives, consumptive, credit, and productive


Author(s):  
Edy Hermawan ◽  
Muhammad Anwar

Rice commodity in Aikmel sub-district is one of the main commodities with an area of ​​9,392 Ha of lowland rice farming and geographically. Non-agricultural activities in rural areas began to develop in response to insufficient income from the agricultural sector. Many rural residents engage in non-agricultural activities when the agricultural sector is free. This is what causes a large number of residents to work from the non-agricultural sector, related to employment and income opportunities. Seeing this condition, it is felt that research needs to be done. This study aims to look at the income of paddy rice farming, non-farming and the relationship between lowland rice farming income and non-farming income on various land areas. The method in this study, namely descriptive, data collection by survey technique, determining the number of samples were 30 people was carried out by quota sampling and taking farmers in each village was carried out by proportional random sampling and determination of villages as samples was carried out by purposive sampling. The Results of the study explain: 1) the average total income of lowland rice farming farmers is Rp. 1.207.412/LLG or equivalent to Rp. 5.219.359/Ha. 2) In this study, farmers receive an average non-farming income of rice farmers of Rp. 8,000,000.- planting season 3). Relationship analysis relationship obtained correlation coefficient value of 0,3786 Because it has a positive result with a correlation coefficient value of 0,3786, the larger the land area, the greater the contribution of agricultural sector income to total non-agricultural income.


2019 ◽  
Vol 7 (1) ◽  
pp. 9
Author(s):  
Dimyati Dimyati ◽  
Neneng Kartika Rini

      The income referred to from this research is the results generated from the farming process. The study aimed to determine the effect of land area, seeds, fertilizers, pesticides, capital, labor, selling prices, production on the income of black rice farmers in the Districts of Waluran and Ciemas. The method used in this research is a quantitative descriptive method. Respondents related to this research were black rice farmers in Waluran and Ciemas sub-districts, as many as 81 respondents. Based on  multiple linear calculations simultaneously the -7 variables significantly affected the income of black rice farmers, while partially from the -7 variables only 4 influential variabl es include land area: fertilizer, seeds, production. While the capital, labor, and selling prices have no significant effect on the income of black rice farmers in Waluran and Ciemas sub-districts.


JURNAL AGRICA ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Faoeza Hafiz Saragih, M.Sc

Up to now, paddy farmers as farm managers have not received the expected results and income from both the farmers themselves and the government. This study aims to determine the factors that influence rice farming income in Tebing Tinggi Village, Deli Serdang Regency. The reason for choosing this location is because this village is the recipient of seed aid from SLPTT where there are 160 farmers using Ciherang seeds. The number of farmers sampled in this study were 40 farmers and the variables tested were labor costs, phonska fertilizer costs, SP fertilizer costs, KCl fertilizer costs, pesticide costs, land area, urea fertilizer costs, ZA fertilizer costs and seed prices. The results showed that feasibility of farm bussiness has R/C ratio was 3,28 its mean the farm business was feasible labor costs, KCl fertilizer costs and urea fertilizer costs had a significant effect on rice farming income, while other variables had no effect. Fertilizer subsidies and seed assistance are government policies that greatly relieve farmers in financing their farming business so that this policy must continue to be carried out and monitored in its implementation in an effort to increase the income of rice farmers.


2020 ◽  
Vol 3 (1) ◽  
pp. 19
Author(s):  
Umaruddin Usman ◽  
Mauliza Yanti

This study aims to analyze the factors affecting the income of female rice farmers in Samudera District, North Aceh Regency. The data used in this study are primary data, namely women farmers in Samudera District, amounting to 51 people. This research model uses multiple linear regression. The results of the research. Partially, capital, land area and experience affect the income of female farmers in Samudera District. Production costs have a negative effect on the income of female farmers in Samudera District. The amount of production does not affect the income of female farmers in Samudera District


2020 ◽  
Vol 21 (1) ◽  
pp. 20-28
Author(s):  
Cristina Ratnawati

Mechanization is one form of technology adoption to improve yields in rice farming. The aims of the research to determine the use of agricultural mechanization and its impact on rice farming in Sananwetan Sub-District, Blitar City expected to improve the standard of living and welfare of its group members. The number of samples taken was 50 rice farmers in Sananwetan Sub-District, Blitar City, chosen by using proportional random sampling. Data analysis using the Mann-Whitney Test and the Multiple Linear Regression Cobb Douglas Model. From the results of interviews in this study show that the use of the mechanization of rice farming in Sananwetan Sub-District, Blitar City is still not optimal. This was due to farmers' perceptions of the unsatisfactory results of agricultural machinery performance, a sense of humanity to 'farm laborers', narrow land area and insufficient availability of farm machinery. While from the results of Mann Whitney's test show that pesticide use and labor requirements were smaller and differed significantly in the use of full mechanization rather than partial mechanization. Other than that, the variable cost of the harvest is lower in the use of full mechanization and is significantly different compared to using the mechanism partially. Rice productivity in full mechanization was 782.15 kg / 1000m2 while partial mechanization was 682.87 kg / 1000m2. For farmers' income in full mechanization is IDR. 1,153,407, - per 1000 m2, in the partial mechanization of IDR. 1,590,574, - per 1000m2. From Cobb Douglas model multiple linear regression analysis found that land area (m2), seed costs and the use of mechanization had a significant effect on the income of rice farming in Sananwetan District, Blitar City.


2020 ◽  
Vol 8 (3) ◽  
pp. 504
Author(s):  
Dayu Iluh Setianing Tias ◽  
Irwan Efendi ◽  
Rio Tedi Prayitno

This study aims to analyze the effects of the application of the hazton planting system on productivity and income, find out the comparison of the income of rice farmers with hazton planting system and conventional planting systems, analyze factors affecting rice farming production of hazton and conventional cropping system, and analyze factors affecting income from hazton rice farmeing and conventional cropping systems. Location was selected purposively in Parerejo Village, Gadingrejo Subdistrict, Pringsewu District. Respondents in this study were 30 rice farmers with hazton planting system and 30 rice farmers with conventional planting system. Data collection was conducted in October - November 2018. Data analysis methods used were qualitative and quantitative analyses. The results of this study indicated that the income of the hazton planting system does not significantly influence the application of the hazton planting system. There is a difference in income from the farming of hazton planting system and conventional planting system with a confidence level of 99 percent difference in income of IDR435,670. Factors that influence rice farming production with hazton planting system and conventional cropping system in Parerejo Village Gadingrejo Subdistrict, Pringsewu District are age, length of farming experience, and rice seeds, whereas, education, and land size do not influence the productivity of rice farming. Based on the analysis, the factors that influence the income of rice farming with the hazton planting system and conventional planting systems in the Parerejo Village Gadingrejo Subdistrict, Pringsewu Regency are education level, selling price, and seeds.Key words: conventional planting system, hazton planting system, income.


Author(s):  
MIDIANSYAH EFFENDI ◽  
DINA LESMANA ◽  
EKO HARRI YULIANTO ◽  
FIRDA JUITA ◽  
SARIPAH NURFILAH

The success of upland rice farming in increasing farmers' income requires high participation in farming management in order to provide optimal results. The purposes of this study were to determine the socio-economic characteristics of farmers, to analyze farming, to determine farmer participation, and to analyze the factors that determine the participation of Dayak Kenyah farmers in upland rice farming. This research was conducted in Long Anai and Sungai Bawang Villages, Kutai Kartanegara District. The characteristics of upland rice farming of the Dayak Kenyah tribe in terms of gender, age, education level, number of family dependents, land area, and income. Upland rice farmers of Dayak Kenyah tribe still apply cultural customs in most stages of upland rice farming. The level of community participation was high and is at the partnership stage. The factors that determine the participation of Dayak Kenyah tribe farmers in upland rice farming are culture, ideas, labor, working time, and farming capital.


2020 ◽  
Vol 24 (2) ◽  
pp. 71-79
Author(s):  
Suneeporn Suwanmaneepong ◽  
Chanhathai Kerdsriserm ◽  
Krichanont Iyapunya ◽  
Unggoon Wongtragoon

This study analysed the factors affecting the adoption of organic rice production in Chachoengsao Province, Thailand. Primary data were collected through structured questionnaire completed by 108 farmers: (58 organic rice farmers and 50 non-organic rice farmers) in Chachoengsao Province, Thailand. A t-test was employed to investigate the differences in the demographics of organic and non-organic rice farmers, and percentage mean, and standard deviation was used to describe farmers’ attitudes. Logistic regression was employed to investigate factors influencing organic rice adoption, educational level, and farm size were significantly different between the organic and non-organic rice farmers. Education (positive), farming experience (positive), age of household head (negative) and farm size (negative) had highly significant (p ≤ 0.01) influences on organic farming adoption. The farmers’ attitude toward environmental concern was the most important reason for adopting organic rice farming. This research identified the factors affecting the adoption of organic rice farming; this information can be used to encourage farmers to practice organic rice farming in the targeted organic rice area in Thailand. In addition, the farmers’ attitudes toward organic farming systems could be used to help support farmers practicing organic rice farming. Keywords: organic rice adoption, organic rice production, organic farming adoption, farmer attitudes.


2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Muzdalifah, Masyhuri Ani Suryantini

This study aims to determine the income and revenue risk from rice farming inirrigated and non irrigated land are also factors that influence it. The hypothesisadvanced is that (1) factors that affect revenue and revenue risk rice farming inpaddy fields are irrigated and non irrigated land area, the price of seed, fertilizerprices, wage labor, the price of seeds, irrigation areas and varieties, (2 ) rice farmincome risk in irrigated land is lower than non-irrigated land. Data obtainedthrough interviews with 80 randomly simple rice farmers. The method used ismultiple linear regression analysis model with Ordinary Least Square (OLS) andthe analytical coefficient of variation (CV). The results showed that the area ofland, the price of urea, ponska price, the price of pesticides, and irrigation areadummy effect on income. While the risk is influenced by the land revenue, theprice of seed, the price of urea fertilizer, fertilizer prices ponska, pesticide pricingand superior varieties of variables. Income risk in the area of irrigated ricefarming was smaller than non-irrigated areas with kofisien variation of 0.83 and0.89.Key words: revenue, risk, rice, irrigated and non irrigated area.


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