scholarly journals Income analysis of integrated farming system of dairy cow breeding farm, earthworms (Lumbricus rubellus), and citrus sinensis Valencia farm. Case study in Dau District, Malang Regency, East Java, Indonesia

2022 ◽  
Vol 335 ◽  
pp. 00049
Author(s):  
Puji Akhiroh ◽  
Hermanto ◽  
Galih Purboningrum ◽  
Mentari Bertha Septina Sase ◽  
Rizki Prafitri

The integrated farming system between dairy cow breeding, earthworms (Lumbricus rubellus), and citrus (Citrus sinensis valencia) plantations provides regular income for farmers and sustainable farming. This research aims to analyze farmers’ income based on the integrated farming system that has been done on these three commodities. This study utilized quantitative and qualitative methods to analyze data. Data were collected through questionnaires to 15 farmers who are members of Gading Kulon Farmer Group in Dau District, Malang Regency, East Java, Indonesia followed by in-depth interviews with key respondents. The study showed that dairy cow breeding provided annual income which contributed up to 58% of household income. Meanwhile, earthworm farming provides weekly income and twice a year income for citrus farming. Depending on the land area, Earthworms farming contributed up to 10% of household income, and citrus plantation was 33%, depending on the land area owned by farmers. The average income of Dairy cow breeding was Rp. 163,308,000 per year; the Average Income of earthworms was Rp. 27,058,000 per year, and the average income of citrus plants was 92,480,000 per year. However, integrated farming of these commodities does not work well in the community due to farmers’ lack of land and capital. Moreover, most respondents indicated that they were interested only in citrus farming because it is easier compared to dairy cow breeding and earthworm farming. Good cooperation from various parties is needed to increase the importance of integrated farming with these three commodities for sustainable farming in Indonesia.

2020 ◽  
Vol 3 (1) ◽  
pp. 1-15
Author(s):  
Intan Feronika ◽  
Yusmini Yusmini ◽  
Jum’atri Yusri

Cow-oil palm integration system is an activity that combines two or more farms with the aim of increasing profits. The application of a system of integration between cattle and oil palm has a huge impact on farmers, especially improve the management of oil palm plantation and effective cattle management for increasing productivity. This researchy aims to analyze the income structure and income distribution of SISKA program household farmers. This research was conducted in Pangkalan Lesung district Pelalawan regency. The methods used in this research is a survey method and research respondents taken as many as 40 farmers in a census.The results showed that household income is sourced from the primary income SISKA and sideline income. The main income of the farmer SISKA sourced from farming the land for palm oil SISKA and non SISKA, SISKA farmers sideline income while sourced from cattle business, trade business, civil servant (PNS), and Councilor. Oil Palm ventures SISKA earn an average income of Rp 25.350.084,69/2 ha/year (55.48%), from oil palm farming on non which is Rp12.547.756,82/ average land area 1.03 ha/year (27.46%). For a side income from livestock farms obtain average income of Rp 3.768.200,52/year (8.25%). As for the revenue from non-agricultural get the Rp 3.905.312 .50/year (8.81%). The Gini Index of Ratio of farmers is at a low inequality of 0.03, meaning that oil palm farming activities and cattle activities are homogeneous.


2018 ◽  
Vol 7 (3.2) ◽  
pp. 792
Author(s):  
L Lindawati ◽  
Mhd. Buhari Sibuea ◽  
Desi Novita ◽  
Muhammad Ilham Riyadh ◽  
Abdurrozzaq Hasibuan

Integrated farming system is a system that emphasized linkages and synergism of farming units waste utilization. The objective of this study was to analyze  the economic farming activity of Rice Livestock Integrated Farming System (RLIFS) and non RLIFS farmers. The results showed the usage allocation of family and external labor to RLIFS farmers was relatively greater than non RLIFS farmers. The RLIFS farmers’ income of rice farming, other crops and non-agricultural was relatively larger than non RLIFS  farmers, while non RLIFS farmers had greater income from livestock (cow and non cow) business and farm labor. The production costs of rice farming and livestock business were still greater in RLIFS farmers although they used manure produced by their own and also provide straw of rice production as animal feed. This was due to several factors (1) The proportion of the cost of using manure was very small in the cost of rice farming if the use of manure only a supporting fertilizer and not the main fertilizer for plant. (2) Some farmers were still buying and using anorganic or chemical fertilizers because of their mindset who wanted fast and instantaneous ones. Some farmers also felt that manure contained less nutrients so they used it in small quantities. The household income total of RLIFS farmers was higher than non RLIFS farmers.  


2012 ◽  
Vol 10 (1) ◽  
pp. 51-63 ◽  
Author(s):  
Sadika Sharmin ◽  
M. Serajul Islam ◽  
Md. Kamrul Hasan

The present study attempted to determine the economic returns of alternative farming system of integrated farming aiming to address the livelihood security of small farm households. One hundred and sixty small and medium farmers practicing in four different FS such as Crop-Poultry (C-P), Crop-Poultry-Pond fisheries (C-P-F), Crop-Livestock-Poultry (C-L-P) and Crop-Livestock-Poultry-Pond fisheries (C-L-P-F) were selected from Mymensingh, Jamalpur and Sherpur district. The main information collected were socio-demographic characteristics of farm households, household income from farm and non-farm sources, size of land holding and farming system followed, livestock and poultry rearing and pond fish culture, and effect of integrated farming on household income and livelihood security of small farm households. Data were collected covering one production period during 2009-2010. For estimating farm income of small farm household, whole farm approach was considered. Increased number of farm enterprises caused higher farm income. However, considering the small farm practices and whole farm approach, the farm income as well as net return was higher for C-L-P-F farmers (Tk. 57002), followed by C-L-P (Tk. 52978), C-P-F (Tk. 20447) and C-P (Tk. 13734) farmers. Some of the most commonly used factors in the assessment of livelihood security included those related to household income and expenditure, expenditure spent on food, adequacy of food taken, household structure and facilities, owning household assets, and access to drinking water and sanitation, and other basic needs of farm household. All these socioeconomic factors were found to be related livelihood security of small farmers in Bangladesh. Women were more involved in income earning activities and household decision making with the introduction of integrated farming in small farm condition.DOI: http://dx.doi.org/10.3329/agric.v10i1.11065The Agriculturists 2012; 10(1): 51-63


2021 ◽  
Vol 226 ◽  
pp. 00034
Author(s):  
Novitri Kurniati ◽  
Ketut Sukiyono ◽  
Purmini Purmini ◽  
Mutyarsih Oryza Sativa

A way to restore the fertility of rice fields is through improving soil structure and microbes by using organic fertilizer derived from livestock waste. Therefore it is necessary to implement an Integrated Farming System (IFS) particularly rice and cattle. The study aimed to analyze the determinants of farmers’ decisions in adopting IFS of rice in Bengkulu Province, Indonesia. This research applied a survey method, which was conducted in Seluma and Rejang Lebong Regencies, Bengkulu Province, Indonesia. The data included primary and secondary and analyzed with the use of Multinomial Logistic Regression. The results indicated that simultaneously all the predictor variables had a significant effect on the response variable, while the income, land area, number of cattle and farmers’ perceptions had a very significant effect on the adoption of the integration system while the variable costs of production, farming experience and labor did not have a significant effect on the decision to adopt a rice and cattle integration system.


2020 ◽  
Vol 4 (2) ◽  
pp. 162-167
Author(s):  
Ihda Fitriyah ◽  
Yuli Hariyati

The problem for farmers in Suruh Village is having two types of farming which are cacao-goat integrated system farmer and cacao-goat non-integrated system farmer. Cacao-goat integrated system conducts cacao farming with goat livestock while for the cacao-goat non-integrated system does not conduct goat livestock. Farmer's interest is different in conducting cacao farming system. The aim of cacao-goat integration system is obtaining manure as organic fertilizer by the expectation to save fertilization cost so that farmer's income with the cacao-goat integrated farming system will be different with non-integrated one because seen from the maintenance cost because of manure. In this study, we dig pattern analysis information of the cacao-goat integrated farming system to find out cacao-goat integrated system and income difference of cacao-goat integrated and non-integrated systems so that it aims to find out the pattern difference of cacao-goat integration farming The research result shows that cacao-goat integrated system by the utilization of cacao waste (bark, leaf), intercropped plant (avocado, cassava, stink beans) as the animal feed of goat). Goat livestock produces feces that can be used as cacao compost fertilizer after 12 months of fermentation. The average income of the cocoa-goat non-integration farmer is USD 1,184.91/Ha/Year, while for the cocoa-goat non-integration farmer has the average income of USD 854,673/Ha/Year. There is a significant difference between cacao-goat integrated farming income and cacao-goat non-integrated farming income.


2021 ◽  
Vol 8 (2) ◽  
pp. 257
Author(s):  
Grace Lia Ronauli Siahaan ◽  
Teguh Endaryanto ◽  
Muhammad Ibnu

This reseach aims to analyze the condition of cassava agribusiness, household income, and level of household welfare of cassava farmers in South Lampung District.  This research is a survey research involving 50 cassava farmers who were selected randomly.  Data collection was carried out in May - June 2018.  The data analysis method used was a qualitative descriptive approach to determine the condition of the agribusiness system and describe the level of household welfare of cassava farmers and a quantitative descriptive approach to determine the amount of household income of cassava farmers.  The study shows that the conditions of the agribusiness system has not been well in several subsystems.  The average income of cassava farming is IDR29,458,390.00 per year on land area of 0.65 hectares.  Cassava farming contributes 62.34% of family income.  Using BPS 2014 and Sajogyo (1997) standards, cassava farmers are considered living well.Key words: cassava farming, household, income


2020 ◽  
Vol 21 (1) ◽  
pp. 25-33
Author(s):  
Deni K.L. Mudin ◽  
Paulus Un ◽  
Lika Bernadina

ABSTRACT Peanuts are one of the high economic value commodities in the dry land area. This commodity also contributes to the social life of the dry land area. This research has been conducted in Semau Sub-district, Kupang Regency, with the aim to determine the amount of income, break event point (BEP), R / C ratio, efficiency of capital use and factors that affect the income of peanuts farming, with the number of farmer respondents as many as 92 people , simple randomly selected. Data that has been collected by survey, library and interview methods; analyzed quantitatively-descriptive using regression methods. The results showed that the total average income of peanut farming in the study location was IDR 1,739,895 with a total average income of IDR 3,498,261 and a total average cost of IDR 1,758,366. While the break event point average of production is 147 Kg and the break event point price is IDR. 6.509, while for the total average the R / C ratio is 1.99. With factors that affect income are production (X1), seed costs (X2), and labor costs (X3). From the regression results with the Cobb-Douglass function the coefficient of determination (R2) is 0.822 with the meaning that variations in independent variables such as production, seed costs and labor costs explain the dependent variable namely income (Y) of 82.20% and the rest 17.80 % is explained by variables outside of the variables analyzed. From the results of the F test (diversity test) it was found that the factors X1, X2, and X3 had a significant effect on income at ⍺ 1%, then accept H1 at least one of: βi ≠ 0. Whereas the results of the t test (partial test) obtained that factors significant effect on income, namely production (X1) and labor costs (X2), while the cost of seeds (X3) does not significantly affect income.


Green Farming ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 696
Author(s):  
MEERA A.V. ◽  
JOHN J. ◽  
SUDHA B. ◽  
SAJEENA A. ◽  
JACOB D. ◽  
...  

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
SANJEEV KUMAR ◽  
SHIVANI . ◽  
S. K. SAMAL ◽  
S. K. DWIVEDI ◽  
MANIBHUSHAN .

Integration of different components viz. livestock, fishery, horticulture, mushroom etc. along with field crops not only enhanced productivity but by-products (waste) of one component act as input for another component through resource recycling within the system. Six integrated farming systems models with suitable combinations of Crop, vegetables, fruit trees, fish, livestock, mushroom etc. were made and evaluated at the experimental farm of ICAR Research Complex for Eastern Region, Patna during 2012-16 for harness maximum income, nutrient recycling and employment. Among six combinations, crop + fish + duck + goat resulted as most profitable combination in terms of productivity (RGEY- 22.2t), net income (Rs. 2,15,900/ha), additional employment (170 days/year) with income sustainability index (ISI) by 90.2. Upon nutrient recycling prepared from different wastes from the system Crop + fish + duck + goat combination added N (56.5 kg), P (39.6 kg) and K (42.7 kg) into the soil and reduced the cost of cultivation by 24 percent and was followed by crop + fish + goat combination. Crops grown under IFS mode with different types of manures produced 31 percent higher yield over conventional rice- wheat system. The contribution of crops towards the system productivity ranged from 36.4 to 56.2 %, while fish ranged from 22.0-33.5 %; for goat 25.4-32.9 %; for poultry 38.7 %; for duck 22.0-29.0 %; for cattle 32.2% and for mushroom 10.3 %.


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