ABSTRACT This research was conducted at Colol Village East Poco Ranaka Sub-District East Manggarai District on March 2019. This research aimed to know: (1) The income bigness of arabica coffee cultivation; (2) The properness of arabica coffee cultivation; (3) the management of arabica coffee cultivation. Data collection method which used in this research was survey method. The determination of research location was purposive sampling with the consideration that Colol Village as one of coffee production village. Kind of data which collected are primary and secondary data. Data were tabulated and analysis as qualitative and quantitative. Income analysis I=TR˗TC used to answer the first aim, and R/C ratio analysis used to answer the second aim. The result of research show that (1) the bigness income of arabica coffee cultivation at Colol Village East Poco Ranaka Sub-District East Manggarai District was high grouped. Total of income as big as Rp.1.503.193.326 with average of Rp.18.110.769 per respondent and average of income per Ha as big as Rp.17.493.593. (2) the bignes of relative profit of arabica coffee cultivation at Colol Village East Poco Ranaka Sub-District East Manggarai District namely 20,00. This case idicated that for every Rp.1 cost which purcased by farmer will obtain revenue as big as 20,00 as profit of arabica coffee cultivation. (3) the power of famer in arabica coffee cultivation was not proper with planing which had decided.
This research has been carried out in the Dualasi Raiulun Village, Lasiolat District, Belu Regency. This study aims to (1)determine the mung bean marketing channel, (2)marketing functions,(3) margins, costs, farmer's share, profit and marketing cost efficiency that affect the marketing of mung beans. Data collection uses interview techniques based on prepared questionnaires. Analysis of the data used is descriptive, economic analysis that is the calculation of Farmers' Share, Margins, profits and efficiency of marketing costs. The results of this study indicate that the (1) marketing channels in Raiulun Dualasi Village through three marketing channels namely Farmers → PPD (Village Collector Traders) → Retailers of the city of Atambua→Consumer, Second Channel Farmers → Wholesalers of the City of Atambua → Retailers of the City of Atambua→Consumer, Third Channel of Farmers → Dualasi District Retailer→Consumer.(2) Marketing functions in Railun Dualasi Village Lasiolat District include the first exchange function consisting of sales and purchase functions, second includes physical functions consisting of transportation and storage functions, and thirdly facility functions of functions financing and market information functions. (3)The lowest marketing margin is in channel one and two, which is 4,500 USD / kg, and the acquisition of the largest margin, namely in channels three, is 4,500 USD / kg and 4. The highest share of green peas in Dualasi Raiulun Village, Lasiolat District, Belu Regency is highest in channel one and two, which is 71.88%. The highest marketing profit of green beans in Raiulun Dualasi Village is in channel III which is 5.000 USD / Kg, followed by Channel I of 4,462 and channel II of 4.349 While the cost efficiency of marketing of mung beans in Raiulun Dualasi Village, Lasiolat District of Belu Regency is lowest or the smallest was channel III with I%, followed by channel Iwith 2 % and channel II with 5%.
The research has been conducted at Ndetundora 1 Village, Ende Sub- District, Ende Regency. The purpose of This research are to know: (1) Nuabosi cassava marketing strategy, (2) Nuabosi cassava marketing channel. (3) Cost, profit, margin, and farmer's share. This research was conducted in March 2019. The research method used was survey method with respondent interview techniques and questionnaires. Number of samples as many as 50 respondents. Determination of samples used in two stages namely first, what is done purposely (purposive sampling) and secondly which is simple random sampling. Data collected are primary data and secondary data. Primary data obtained from direct interview with farmers while secondary data obtained from institutions. Nuabosi's cassava marketing strategy, marketing channel, eco-disposal, cost, profit, margin, and farmer's share are quantitatively, qualitatively, and descriptive analysis. the research results show that (1) Marketing strategy using SWOT Analysis by finding strengthtens, weakness, opportunities, threats from products, promotions, places and prices. (2) Pattern of marketing channels namely farmers - traders of village retailers - consumers, farmers - village collector traders - city retailers - consumers, and at the last channel farmers - inter-island traders - consumers. The total cost to farmers for the first channel is Rp.400 / kg, the village retailer is Rp.1,587 / kg for margins. In this channel, the farmers are Rp. 5,000 / kg, the retailer is Rp.5.000. Farmers’s Share 71% and 100%. In the second channel, the total costs incurred by farmers are Rp. 12,500, village collectors are Rp. 15,000 / kg and city retailers are Rp. 20,000. Farmer marketing margin Rp 7,500, village collector traders rp 2,500 / kg, city retailer traders 5,000 / kg. And for the last channel the price of nuabosi cassava for farmers is Rp. 12,500 / kg and inter-island traders Rp. 25,000/kg. The total costs incurred are IDR 2,508 / kg, inter-island traders Rp 10,000. The margin on this channel is Rp. 12,500 / Kg and the collecting trader is Rp 12.500/kg. Farmer’s share for farmer is 50 %, while for inter-islan traders 100 %. Inter-islan traders 25.000 m
This study aims (1) to analyze the influence of the use of production factors on the amount of mustard production; (2) to analyze the technical efficiency of the use of production inputs in mustard farming in the research area; and (3) to analyze the feasibility of mustard farming in the research area. Determination of the sample of respondent farmers using the method of saturated samples because the members of the population is small (41 people). So the number of respondents was as many as 41 farmers. The results showed that the use of land area input (x1), seeds (x2), organic fertilizers (x3), inorganic fertilizers (x4), pesticides (x5), and labor (X6) simultaneously had a significant effect on mustard production (α=0.05), as evidenced by the value of F-stat of 441,015 greater than F table of 2.49. Partially the production factor that has a very significant effect (α=0.01) on the increase in mustard production is the land with a regression coefficient of 0.082 and a t-stat value of 8,396, seeds have a real effect (α0.05) on mustard production with a regression coefficient value of 0.082 and a t count value of 3,075 and inorganic fertilizers have a noticeable effect (α=0.10) on mustard production with a regression coefficient value of 0.065 and a t stat value of 2.125. While other production factors, namely organic fertilizers, pesticides and labor have no real effect on the production of mustard at the research site. The Coefficient of Determination (R2) obtained a value of 0.994 which means that 99,4% of the dependent variable was expamimed by the independent variables while the remaining 0.6% is explained by other variables that are not included in the model. The use of production factors such as land area, seeds, organic fertilizers, inorganic fertilizers and labor in mustard farming was technically efficient, because the value of b > 0. This can be seen from the coefficient of regression of each variable, namely land area (0.395), seeds (0.082), organic fertilizers (0.079), inorganic fertilizers (0.395) and labor (0.002). While the pesticide input production in mustard farming is technically inefficient, because the value of b < 0. This can be seen from the value of pesticide regression coefficient of -0.035. Mustard farming at the research site provides relative profit with the value of R /C Ratio > 1 (R/C= 3.65) so that mustard farming is feasible to be cultivated.
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