scholarly journals LABOR EMPLOYMENT AND UBIKAYU HEALTH REVENUE (Manihot esculenta Crantz) ON HOUSEHOLD FARMS REVENUE

2018 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Himmatul Miftah ◽  
Dede Suryana ◽  
Yodfiatfinda Yodfiatfinda

Increased cassava demand was not followed by an increase in farmer income. To cover the expenditures of households, farmers work in non-agricultural activities. The objective of this research is to analyze the level of household income and contribution of cassava farming to the total income of farm household. The research was conducted in Purabaya Village, Purabaya sub-district, Sukabumi district, conducted from April until June 2013. The location was chosen purposively by Simple Random Sampling of 36 farmers sample. Conclusion The average household income of peani is Rp. 5,721,639 per year or Rp. 476,800 per month. Cassava business income contribution of 59 percent, from non-cassava farming by 9 percent and outside farming ie trade and services 32 percent of total household income Rp 40,553,344, -

Author(s):  
BELLO ARDA UTAMA ◽  
I KETUT BUDI SUSRUSA ◽  
I DEWA GEDE RAKA SARJANA

Contribution of Clove Farming to Farmers Household Income in Pengeragoan Village Pekutatan Pekutatan District Jembrana Regency Clove is one of agricultural commodities that is commonly found in Pengeragoan Village, Pekutatan District, Jembrana Regency. The Purpose of this research is to find out the farming analysis clove and the large determine contribution of clove farming to the income of farm household in Pengeragoan Village. The sampling technique used was proportional random sampling and samples taken randomly to select the sample by lottery method with 34 clove farmers. The data collection in this study was conducted from early September to the end of September 2017. Research used farming analysis to calculate net income of clove farmers during one year in 2016. Result of the analysis showed that sources of farmer income range from plantation of clove, coconut, cocoa, and banana whereas the non-farm income ranges from trader, servant, and private employees. Contribution of clove farm reaches 80,05% of total income of farmer household Rp 82.346.949,00/year with an average income of Rp 65.917.472,00/year.


2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Jhon Wardie ◽  
Tri Yuliana Eka Sintha

The research aims to analyse the level of sustainability and the level of household income in the farming of rice on the peatland. The research location was determined by purposive sampling in Terusan Karya Village, Bataguh District, Kapuas Regency. The simple random sampling method was taken on 50 farmer household served as respondent. The data were collected in the form of primary and secondary data. To achieve the first research objective, it was conducted by an analysis of sustainability indicators of farming using Likert Scale system. The index of farming sustainability includes biophysical and socio-economic aspects in the rice farming on peatland. Meanwhile, to achieve the purpose of the second research, it was operated by using a simple tabulation to measure the level of farmer household income. The result of the analysis showed that farming sustainability of rice in the peatland found index by 76.10%, which means that the level of farming sustainability is a good category or highly sustainable. The result of the analysis of farm household income was 16.9 million rupiahs, which means that the farm household income has been categorized as good.  Keywords: sustainability index, peatland, income, rice, farmer householdJEL Classification: D10, Q01, Q12


2014 ◽  
Vol 1 (1) ◽  
pp. 55
Author(s):  
Marlica Tri Asmi ◽  
Rommy Qurniati ◽  
Dwi Haryono

Agroforestry is a land use management system by combining agriculture and forestry and or husbandry to achieved yield optimalization (Indriyanto, 2006). Agroforestry systems with mixed garden pattern consist various types of plants that perform a different composition of plants so there are varied incomes from one place to another. This study aims to: (1) identifying the composition of agroforestry based on INP and its effect on income, (2) analyze the composition of the contribution of agroforestry products to total farm household income. Methods of data collection for species composition using purposive sampling while for the respondent farmers using stratified random sampling. Data analysis using quantitative descriptive analysis method. The results showed that the largest contributes of the composition of plant in three zones, namely the upper, middle, and bottom obtained on the composition of IX which is located in the lower zone of Rp 23,127,404, -/ha/yr with highest INP of cocoa is 94.86%. The magnitude of the average farmer's total income from each source of income from agroforestry to Rp 36.992.171/ha/yr and non-agroforestry amounting to Rp 9.312.500/yr. The magnitude of the contribution of agroforestry systems to farmers' incomes Pesawaran Indah Villages of 91.44%, meaning that agroforestry provides a major contribution to the household income of farmers.  Key words : agroforestry, composition of plants, contribution of agroforestry


2004 ◽  
Vol 16 (2) ◽  
Author(s):  
S Andi Cahyono ◽  
Nana Haryanti

Land authority and imbalance of income distribution are always be an interesting issue for an importance role of land in society. It is interesting and necessary to find out how contribution of agricultural sector to farmer income and what effect of land authority imbalance to income distribution. This research was conducted at Temon and Keduang sub watershed. Survey method was adapted to collect the field data. Afterward, the collected data was analyzed quantitatively. The result indicated that the contribution of agricultural sector to farmer income at Temon sub watershed (69.39%) was hhigher than at Keduang sub watershed (59.11%). This showed that narrow in land authority will be increasing the contribution of agricultural sector to total income. It related to diversify efforts of land using. Imbalance of land authority not always affected the income imbalance, caused by development of non agricultural sector. Land access only was unfeasible to be an indicator of farmers household income level without considering the biophysics condition and non agricultural sector growth development.


2019 ◽  
Vol 7 (2) ◽  
pp. 186
Author(s):  
Rini Sari Lubis ◽  
Hari Kaskoyo ◽  
Indra Gumay Febryano ◽  
Samsul Bakri

The contribution of women forest farmers in managing their forest land can help improve the family's economy. The purpose of this study was to analyze the total income of woman, total family income and identify the contribution of woman roles on family income. Data was collected through interviews using a structured questionnaire to 55 respondents that selected by simple random sampling. Qualitative data analysis used to identify economics forms of woman forests farmers, whereas quantitative data analysis used to analyze total income of women forests farmers, total family income, and contribution of women forests farmers roles. The results showed that the average income of woman forest farmers was Rp 475.000/month, family income was Rp 1.428.000/month, and 42 women or around 76% had relatively small contributions because ≤ 50% from total family income and 24% or 13 people were able give their contribution that is big enough because >50% from total family income. Key words: contribution, private forest, woman forest farmer income


2020 ◽  
Vol 8 (4) ◽  
pp. 600
Author(s):  
Muhammad Iqbram Aditya Nata ◽  
Teguh Endaryanto ◽  
Ani Suryani

The purposes of this research were to analyze the income of banana farmer households, the level of banana farmer household’s welfare, and the factors that influence the banana farmer household’s welfare. This research was conducted at Sumbermulyo and Tegalbinangun villages of Sumberejo subdistrict ofTanggamus regency. The samples were chosen by simple random sampling method. The number of respondents in this study was 62 banana farmers. The data were collected in March 2019. The method of data analysis used in this study was quantitative and qualitative descriptive analysis. The results showed that average household income of banana farmers in Sumberejo of Tanggamus Regency was IDR32,763,337.90 per year. It came from banana farming (on farm) amounting to IDR17,497,289.52 and from outside the banana farming (on farm, off farm and non farm) amounting to IDR15,266,048.38. Based on BPS (2014) criteria, banana farmers household at Sumberejo District were mostly categorized as prosperous farmers families. Based on the regression analysis using binary logit there were two factors influencing the prosperity grade of banana farmers, they are household income and the number of family members.Key words: banana farmers, farmer household’s welfare, income


After a major change of 1991 in the Indian economy, there is a significant structural change not only in India but also in Punjab. Productivity in agriculture has reached its peak in Punjab and now the whole agriculture sector is burdened with the crisis of stagnation, overcapitalization, indebtedness, etc. Now it would be interesting to know the pattern and levels of income. This paper is an attempt to analyze the pattern and levels of income among loan waiver beneficiary households in Punjab using primary data of 318 households. The average household income of loan waiver beneficiary households was `229072.38, while it was the highest in Mansa district, followed by Ludhiana district and Hoshiarpur district. The study found that nearly 81 percent of the total income of households comes from agricultural sources and remaining from non-agricultural sources. Further huge inequalities of income were observed among beneficiary households. Inter-district inequalities showed that the Hoshiarpur district had minimum inequalities of income.


2020 ◽  
Vol 8 (2) ◽  
pp. 256
Author(s):  
Werna Newell Simamora ◽  
Wan Abbas Zakaria ◽  
Eka Kasymir

The purpose of this study was to analyze the main farming income, annual household income, welfare, and factors that influence the level of household welfare. Data were collected in June - August 2018. The research location was determined intentionally because the Kedaung Village was one of the regions with high poverty levels in the Kemiling District of Bandar Lampung City. The number of respondents in this study was 40 respondents taken using simple random sampling technique. The analytical methods used were farm income analysis, household income analysis, and welfare level analysis. The results of the study explained that the average main farming income was differentiated based on two cropping patterns, namely: first cropping pattern (beans - beans) amounting to Rp2,537,872.35 /0,08 ha per year, while in the second cropping pattern (beans - long beans) amounting to Rp2,830,339.88 /0,07ha per year. The average household income every year based on cropping patterns was Rp23,317,784.40 per year of the first cropping pattern and Rp13,841,450.10 per year of the second cropping pattern. As many as 95 percent of agricultural households in Kedaung Sub-District, Kemiling District, Bandar Lampung City are in the category of unprosperous. This situation occurs because of low social, educational, and health scores.Keywords: agriculture household, income, welfare indicators


2020 ◽  
Vol 8 (2) ◽  
pp. 272
Author(s):  
Marina Ulva ◽  
Fembriarti Erry Prasmatiwi ◽  
Eka Kasymir

This research is to analyze income obtained by traditional fishermen from fish catching, their householdincome, the level of welfare, and factors influencing the welfare level of traditional fishermen households inTeluk Pandan District. This study was conducted in Sukajaya Lempasing Village, Teluk Pandan District,Pesawaran Regency with a survey method. Respondents were 48 traditional fishermen who used netfish andwere selected using simple random sampling method. Household income consists of on farm, off-farm, andnon-farm. Household welfare level is analyzed by Central Agency on Statistics 2014 and the Sajogyo 1997criteria. The factors influencing welfare are determined using binary logistic regression. The resultsshowed that the income obtained by fishermen from fish catches in the western season was Rp6,570,375, inthe eastem season was Rp25,452,214, and in the normal season was Rp15,229,771. The contribution of fishcatches income (on farm) was 91.01 percent, the contribution of bussines income in the agricultural sectoroutside the fish catches (off farm) was 5.55 percent, and the contribution of business outside the agriculturalsector (non-farm) was 3.60 percent. As many as 68.77percent of the traditional fishermen households areclassified as unprosperous yet and 31.25 percent are prosperous based on Central agency on Statistics 2014criteria. The factors influencing the welfare of traditional fishermen households were the level of educationand income.Key words: income, traditional fishermen, welfare.


Agro Ekonomi ◽  
2013 ◽  
Vol 24 (2) ◽  
pp. 213
Author(s):  
Uti Aliffiani ◽  
Jangkung Handoyo Mulyo ◽  
Ken Suratiyah

This research was conducted (1) to understand the labor supply on the paddy farming (2) to estimate the factors affecting labor supply of farm household on the paddy farming (3) to understand source of farm household income and the contribution of farm household income. The primary method for this research is descriptive analysis. The research located in Margokaton Village, Sayegan Subdistrict, Sleman District were determined simple random sampling, there were 30 farm household of paddy farmers. The data was analyzed by paired sample t-test and multiple linier regression analysis by Ordinary Least Sugar(OLS). The result showed that (1) labor supply on paddy farming was 103,44 HKO/year which consists of family labor was 85,81 HKO/year and non family labor was 17,63 HKO/year, (2) labor supply of farm household on the paddy farming was affected positively by field area and technical irrigation (3) sources of farm household income were from farm income and non farm income meanwhile the contribution of farm income and non farm income to farm household income were 45,64% and 54,36% of.  The contribution of paddy farming is 19,60% to farm household income.


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