scholarly journals ANALISIS KARAKTERISTIK SOSIAL EKONOMI DAN PARTISIPASI PETANI SUKU DAYAK KENYAH PADA USAHATANI PADI LADANG (Studi Kasus di Desa Long Anai dan Sungai Bawang, Kabupaten Kutai Kartanegara)

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.

2019 ◽  
Vol 7 (2) ◽  
pp. 254
Author(s):  
Shandy Andika ◽  
Begem Viantimala ◽  
Indah Nurmayasari

The purposes of this study are to analyze level of Agricultural Extension Workers (AEWs)’s performance in Technical Implementation and factors related to the level of the performance in working area of Jati Agung Subdistrict of Lampung Selatan District,. This research was conducted in Jati Agung Subdistrict of Lampung Selatan District in September-October 2017. Respondents were 76 randomly selected rice farmers in the area. Data analysis uses descriptive analysis and Rank Spearman correlation test. The results  indicated that the level of performance of AEWs in Technical Implementation is included ina medium category. Reward system is significantly related to the level of AEWs’ performance, while motivation level, income level, education level, number of farmers, and distance of residency are not significantly related to the level of AEWs’ performance in Technical Implementation Unit Jati Agung Subdistrict.Key words: AEW, performance, Technical implementation unit


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.


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.


2021 ◽  
Vol 9 (4) ◽  
pp. 577
Author(s):  
Kresnalia Astasari ◽  
Wan Abbas Zakaria ◽  
Irwan Effendi

The objectives of the research were to analyze the participation of farmers in the Upsus Program, to analyze the factors that affect rice production, and to analyze the income level of lowland rice farming in Gadingrejo Sub District, Pringsewu District. The research was conducted in March-April 2019. The analysis of farmerparticipation in the Upsus Pajale program using scoring technique which were processed into interval data with Methode of Succesive Interval. Factors that affecting rice production were analyzed using the Cobb Doughlass production function, and analysis of farm income using a comparison between total revenues and total costs, called Revenue Cost Ratio (R/C). The results of this study were farmers' participation in the Upsus Pajale program was in the middle class, the factors that affect the rice production of lowland rice farming, namely land area, amount of phonska fertilizer, pesticide and farmer participation. Income from cash costs obtained by farmers amounted to Rp18,116,478.41 with R/C of 6,23/0,73 ha/planting season and income to total costs amounted to Rp16,184,879.44 with an R/C of 4,00/0,73 ha/planting season.Keywords: factors, income, production, rice paddy


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.


2019 ◽  
Vol 4 (1) ◽  
pp. 237-246
Author(s):  
Nneka Chidiebere-Mark ◽  
Donatus Ohajianya ◽  
Polycarp Obasi ◽  
Steve Onyeagocha

AbstractProfitability of rice production in different production systems in Ebonyi State, Nigeria was evaluated. Rice is critical for food security in Nigeria, hence, farmers need to make appropriate choices of rice production systems to optimize production and ensure an adequate domestic supply. This study used 2015 survey data from rice farming households. Rice farmers in swamp, lowland and upland rice production systems showed variability in profit. Swamp production systems had the highest return per hectare (29.37%) followed by lowland production systems (20.10%) and upland production systems (13.03%). Poor access to production credit and climate change were constraints to rice production in the area. Rice production using the swamp production system is profitable and would ensure increased production and higher returns to the farmers. It is recommended that farmers should form cooperative groups to enable them to pool resources together to boost their production.


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.


Author(s):  
Marsela Anggita Ratri ◽  
Yuliawati Yuliawati

The purpose of this research is to (1) analyze the differences in rice farming of Ciherang and Mekongga varieties, (2) to determine R/C ratio of rice farming in Ciherang and Mekongga varieties, (3) to determine the factors that influence the differences of income in rice farming between Ciherang and Mekongga varieties. This study carried out at Rogomulyo village, Kaliwungu, Semarang. Allegedly factors that affecting the differences income are seed costs, pesticide costs, fertilizer costs, labor costs, grain prices, land area and dummy varieties. The number of farmers who planted Ciherang varieties was 211 people and the number of farmers who planted Mekongga varieties was 158 people. Simple random sampling technique with a sample of 40 Ciherang varieties and 40 Mekongga rice farmers. Data collection is done through interview using questionnaires. Analysis of the data used inclued analysis of unpaired t-test (independent sample t-test), R/C ratio, and multiple linier regression. The results showed that the difference in income of rice farmers of Ciherang and Mekongga varieties was Rp 1.507,056/Ha/planting season but statistically different. The R/C ratio of Ciherang variety rice farming is 2,39 while the R/C ratio of Mekongga varieties is 1,79. Factors that influence income differences are fertilizer costs, labor costs, grain prices, grain prices, land area and production while aeed costs, pesticidae costs, dummy varities have no effect.  Keywords : Ciherang R/C ratio, Mekongga R/C ratio, Income difference, Rice farming.  


2018 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Suci Rodian Noer ◽  
Wan Abbas Zakaria ◽  
Ktut Murniati

The research aims to know the income level and production’s efficiency of upland rice farming in Sidomulyo Subdistrict of South Lampung Regency. The Location of this research was chosen purposively with consideration that the area is upland rice production centers in Lampung. This research used a survey method and the data were collected in Nov-Dec 2016. The samples consist of 54 upland rice farmers  selected using stratified random sampling method. The income level of upland rice farming is analyzed by using income analysis method. The production efficiency of upland rice farming is analyzed by using production stochastic frontier function analysis method. The results showed that the income level of upland rice farming in rainy season (November 2016 until March 2017) was provitable about Rp 1.381.414/ha, R/C value of total cost was about 1.22. The production efficiency level of upland rice farming was 89 percent (not efficienct yet).Key words : efficiency, income, production, upland rice


2021 ◽  
Vol 6 (1) ◽  
pp. 563-572
Author(s):  
Triyono ◽  
Nur Rahmawati ◽  
Zuhud Rozaki

Abstract An analytical and integrated approach to farming needs to be formulated to assist decision-making by policymakers. This is important for the sustainability of agriculture in Indonesia, especially in the Special Region of Yogyakarta, which has experienced a decrease in land area, production, and productivity in the last 5 years. This study aims to analyze the sustainability of rice farming using the sustainable-value approach, which is based on the economically efficient use of agricultural resources. Data were collected from rice farmers in 25 observation areas attached to eight river irrigation sources throughout the province. A criterion for economic efficiency has been used as a guideline for setting benchmarks for optimal input use. The study reveals that, in general, these rice farms had poor economic productivity values. The sustainable value distribution for rice farms exceeded the highest value but there was low sustained quality. This indicates the limited overall longevity but also the potential for sustainability. Therefore, in managing rice farms, economic, social, and environmental resources have to be used more effectively.


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