This research entitled “Feasibility of Chrysanthemum Farming in Tomohon City”. Chrysanthemum is one of floriculture commodities that people are interested and popular due to its many species and its beautiful shape and colour. Tomohon is a town in North Sulawesi Province that having potential to develop cut flower chrysanthemum. This research was intended to identify cost and income of chrysanthemum farming in Tomohon and its farming feasibility. Cost and income approach was used to identify costs and income of chrysanthemum farming in Tomohon, while feasibility of chrysanthemum farming was analyzed using R/C ratio, π/C ratio and break even point analysis. Sample was taken using simple random sampling in 4 Villages on North Tomohon Sub-district that is centre of chrysanthemum farming in Tomohon. Results of the research indicated that cost for the chrysanthemum farming is Rp 128,330,475.42 per farming per year, while its income reaches Rp 169,750,054.50 per farming per year. Result of feasibility study indicated that chrysanthemum farming in Tomohon has R/C ratio of 2.63 (R/C >1), p/C ratio of 113.58% (p/C>9%), and feasible BEP, where BEP of revenue of Rp 27,472,521.11 (farming revenue Rp 274,086,000 per year), BEP of production of 9,156 stems (production 91,362 stems per year) and BEP of price of Rp 1,142.01 per stem (price Rp 3,000 per stem). Therefore, chrysanthemum farming in Tomohon is profitable and feasibly to develop.
{"title":"Feasibility of Chrysanthemum Farming in Tomohon City","authors":"C. Laganá, D. Darwanto, M. Masyhuri","doi":"10.22146/AE.31225","DOIUrl":"https://doi.org/10.22146/AE.31225","url":null,"abstract":"This research entitled “Feasibility of Chrysanthemum Farming in Tomohon City”. Chrysanthemum is one of floriculture commodities that people are interested and popular due to its many species and its beautiful shape and colour. Tomohon is a town in North Sulawesi Province that having potential to develop cut flower chrysanthemum. This research was intended to identify cost and income of chrysanthemum farming in Tomohon and its farming feasibility. Cost and income approach was used to identify costs and income of chrysanthemum farming in Tomohon, while feasibility of chrysanthemum farming was analyzed using R/C ratio, π/C ratio and break even point analysis. Sample was taken using simple random sampling in 4 Villages on North Tomohon Sub-district that is centre of chrysanthemum farming in Tomohon. Results of the research indicated that cost for the chrysanthemum farming is Rp 128,330,475.42 per farming per year, while its income reaches Rp 169,750,054.50 per farming per year. Result of feasibility study indicated that chrysanthemum farming in Tomohon has R/C ratio of 2.63 (R/C >1), p/C ratio of 113.58% (p/C>9%), and feasible BEP, where BEP of revenue of Rp 27,472,521.11 (farming revenue Rp 274,086,000 per year), BEP of production of 9,156 stems (production 91,362 stems per year) and BEP of price of Rp 1,142.01 per stem (price Rp 3,000 per stem). Therefore, chrysanthemum farming in Tomohon is profitable and feasibly to develop.","PeriodicalId":33120,"journal":{"name":"Agro Ekonomi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43325638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pandeglang district is the largest soybean producer region in Banten province. Since the last four years, Pandeglang Regency has decreased land area and production. However, the amount of soybean productivity has increased. The ability of farmers to manage and allocate various inputs used in soybean farming affects the production and productivity of soybean and can give an idea of the level of efficiency achieved by farmers. So it is necessary to research whether the application or use of inputs in the process of soybean production has been at technically efficient level or not. Based on these conditions, in this study aims to: know the level of technical efficiency in soybean farming in Pandeglang regency. The basic method used in this research is descriptive method and the location of research is determined intentionally or purposive sampling. Sample selection for soybean farmer respondents was done by simple random sampling method of 77 soybean farmers. The result of the research shows that production factors that significantly affecting soybean production in Pandeglang are wide, fertilizer and insecticide. The average value of farmers' technical efficiency is 0.864. This figure indicates that the average farmers of respondents have reached technical efficiency in soybean production in the research area. the technical efficiency value of the stochastic function with the lowest value 0.6314 and the highest value 0.9599. Factors affecting technical inefficiency are age and training. However, these factors have a positive effect, meaning that both increase the level of technical inefficiency of soybean farming.
{"title":"Technical Efficency Of Soybean In Pandeglang Regency","authors":"Nivo Ardiansyah, S. Hartono, A. Suryantini","doi":"10.22146/AE.29839","DOIUrl":"https://doi.org/10.22146/AE.29839","url":null,"abstract":"Pandeglang district is the largest soybean producer region in Banten province. Since the last four years, Pandeglang Regency has decreased land area and production. However, the amount of soybean productivity has increased. The ability of farmers to manage and allocate various inputs used in soybean farming affects the production and productivity of soybean and can give an idea of the level of efficiency achieved by farmers. So it is necessary to research whether the application or use of inputs in the process of soybean production has been at technically efficient level or not. Based on these conditions, in this study aims to: know the level of technical efficiency in soybean farming in Pandeglang regency. The basic method used in this research is descriptive method and the location of research is determined intentionally or purposive sampling. Sample selection for soybean farmer respondents was done by simple random sampling method of 77 soybean farmers. The result of the research shows that production factors that significantly affecting soybean production in Pandeglang are wide, fertilizer and insecticide. The average value of farmers' technical efficiency is 0.864. This figure indicates that the average farmers of respondents have reached technical efficiency in soybean production in the research area. the technical efficiency value of the stochastic function with the lowest value 0.6314 and the highest value 0.9599. Factors affecting technical inefficiency are age and training. However, these factors have a positive effect, meaning that both increase the level of technical inefficiency of soybean farming.","PeriodicalId":33120,"journal":{"name":"Agro Ekonomi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44396786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
People who are living in banana production centers such as Sebatik Island have the opportunity to develop the products. Therefore, the purpose of this research are: (1) to know the added value from banana processing business in the border area of Sebatik Island and (2) to know the relative efficiency level of each banana processing business in the border area of Sebatik Island. The method used in this research was the added value of Hayami method which is to know the added value and the Data Envelopment Analysis (DEA) method of CCR with input orientation which is to know the relative efficiency level of banana processing business. The study of the added value of various proceed banana in the border area of Sebatik Island showed that the banana processing commodities provided an average added value of IDR 16,375.28 /kg. The relative efficiency analysis of 15 DMU of banana processing agroindustry showed that most of the banana processing agroindustry in the border area of Sebatik Island is not efficient yet. 40% of banana processing agroindustry is efficient and other 60% is inefficient. The average relative efficiency value of banana processing agroindustry is 0.737.
{"title":"Additional Value and Business Efficiency of Various Processing Bananas Product in The Border Area of Sebatik Island","authors":"Fairuz Indana, I. Irham, J. Mulyo","doi":"10.22146/AE.31000","DOIUrl":"https://doi.org/10.22146/AE.31000","url":null,"abstract":"People who are living in banana production centers such as Sebatik Island have the opportunity to develop the products. Therefore, the purpose of this research are: (1) to know the added value from banana processing business in the border area of Sebatik Island and (2) to know the relative efficiency level of each banana processing business in the border area of Sebatik Island. The method used in this research was the added value of Hayami method which is to know the added value and the Data Envelopment Analysis (DEA) method of CCR with input orientation which is to know the relative efficiency level of banana processing business. The study of the added value of various proceed banana in the border area of Sebatik Island showed that the banana processing commodities provided an average added value of IDR 16,375.28 /kg. The relative efficiency analysis of 15 DMU of banana processing agroindustry showed that most of the banana processing agroindustry in the border area of Sebatik Island is not efficient yet. 40% of banana processing agroindustry is efficient and other 60% is inefficient. The average relative efficiency value of banana processing agroindustry is 0.737.","PeriodicalId":33120,"journal":{"name":"Agro Ekonomi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47923248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aims of this study are to identify both internal and external factors of agribusiness in PT Lentera Panen Mandiri (PT LPM), map the company’s position, and determine its development strategy. Main data used in this study is primary data obtained from stakeholders of PT LPM by direct interview. Strength, Weakness, Opportunity and Threat (SWOT) of soybean agribusiness in PT LPM were identified in this study and followed by determining the company’s position using SWOT diagram. Alternative srategies were derived from the SWOT matrix and prioritized using Quantitative Strategies Planning Matrix (QSPM) analysis. The results of this study identified 5 strengths, 7 weaknesses, 9 opportunities, and 6 threaths with the highest factors consisted as "company's commitment to supervise and foster farmers and suppliers", "is time-consuming sorting process and potency of mixed between rice and soybean", "opportunity to increase the productivity of soybean at farmer level ", and "uncommit suppliers to supply only from areas that have been approved by the company" respectively. Based on the SWOT diagram, soybean agribussiness in PT LPM positioned in Quadrant I, which mean that the company should apply Agressive Strategy or Strength – Opportunity (S-O) strategy. Based on the SWOT Matrix, 5 alternative of S-O strategies were derived. Based on the QSPM analysis, strategy for guarding and coaching farmers through patnership scheme is the first priority with Total Attarctive Score (TAS) is 12.9.
{"title":"The Development Strategy of Soybean Agribusiness in PT Lentera Panen Mandiri","authors":"Dewi Nurpitasari, L. R. Waluyati, J. Mulyo","doi":"10.22146/AE.30506","DOIUrl":"https://doi.org/10.22146/AE.30506","url":null,"abstract":"The aims of this study are to identify both internal and external factors of agribusiness in PT Lentera Panen Mandiri (PT LPM), map the company’s position, and determine its development strategy. Main data used in this study is primary data obtained from stakeholders of PT LPM by direct interview. Strength, Weakness, Opportunity and Threat (SWOT) of soybean agribusiness in PT LPM were identified in this study and followed by determining the company’s position using SWOT diagram. Alternative srategies were derived from the SWOT matrix and prioritized using Quantitative Strategies Planning Matrix (QSPM) analysis. The results of this study identified 5 strengths, 7 weaknesses, 9 opportunities, and 6 threaths with the highest factors consisted as \"company's commitment to supervise and foster farmers and suppliers\", \"is time-consuming sorting process and potency of mixed between rice and soybean\", \"opportunity to increase the productivity of soybean at farmer level \", and \"uncommit suppliers to supply only from areas that have been approved by the company\" respectively. Based on the SWOT diagram, soybean agribussiness in PT LPM positioned in Quadrant I, which mean that the company should apply Agressive Strategy or Strength – Opportunity (S-O) strategy. Based on the SWOT Matrix, 5 alternative of S-O strategies were derived. Based on the QSPM analysis, strategy for guarding and coaching farmers through patnership scheme is the first priority with Total Attarctive Score (TAS) is 12.9.","PeriodicalId":33120,"journal":{"name":"Agro Ekonomi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41728136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Palm oil is one of the world's most consumed vegetable oils other than soybean oil, canola oil and sunflower seed oil. Indonesia is one of the largest CPO producers in the world, while India is the biggest consumer in Indonesia as well as in the world. This study was conducted to analyze the rate of Indonesia’s CPO export growth to India by using the annual data from 2003 to 2015 and the factors affecting Indonesia's CPO exports to India by using the annual data from 1990 to 2015. The method used is market share analysis by standard growth calculation to measure the growth rate and Error Correction Model (ECM) method to know the factors that give short-term and long-term effects. Factors tested in this study include international CPO prices, soybean oil prices, Malaysian CPO export duty and Indonesian CPO export duty. The analysis shows that the growth rate of Indonesian CPO exports to India is fluctuate and the export volume of Indonesian CPO to India is influenced by export duty of CPO Indonesia negatively and significantly in the long-term and short-term.
{"title":"The Export Supply Of Indonesian Crude Palm Oil (CPO) To India","authors":"Marizha Nurcahyani, M. Masyhuri, S. Hartono","doi":"10.22146/AE.29931","DOIUrl":"https://doi.org/10.22146/AE.29931","url":null,"abstract":"Palm oil is one of the world's most consumed vegetable oils other than soybean oil, canola oil and sunflower seed oil. Indonesia is one of the largest CPO producers in the world, while India is the biggest consumer in Indonesia as well as in the world. This study was conducted to analyze the rate of Indonesia’s CPO export growth to India by using the annual data from 2003 to 2015 and the factors affecting Indonesia's CPO exports to India by using the annual data from 1990 to 2015. The method used is market share analysis by standard growth calculation to measure the growth rate and Error Correction Model (ECM) method to know the factors that give short-term and long-term effects. Factors tested in this study include international CPO prices, soybean oil prices, Malaysian CPO export duty and Indonesian CPO export duty. The analysis shows that the growth rate of Indonesian CPO exports to India is fluctuate and the export volume of Indonesian CPO to India is influenced by export duty of CPO Indonesia negatively and significantly in the long-term and short-term.","PeriodicalId":33120,"journal":{"name":"Agro Ekonomi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48365873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Agricultural machinery rental services (UPJA) program has an important role on the application of agricultural mechanization and increasing farming income. This study aims: (1) to compare the farm costs between the farmers who apply mechanization under UPJA program and those who do not (Non-UPJA), and (2) to know the effect of implementing agricultural mechanization and the other factors toward farm income in Prambanan Sub-District, Sleman District. The data collected consists of 25 farmers who apply agricultural mechanization under UPJA program, choosen by sensus and 25 farmers who do not apply (Non-UPJA), choosen by using proporsional random sampling. To determine the differences of farm costs, farming analysis and mean difference test using independent sample t-test was applied. To determine the effect of mechanization toward farm income, multiple liniear regression analysis was used. The result of mean difference test showed that there is no significant differences of farm costs between UPJA and Non-UPJA farmers. The result of multiple liniear regression analysis showed that mechanization has significant effect to the farm income. Farm income of the farmers who apply mechanization under UPJA program is significantly higher than the farmers who do not. Other factors that have significant effect to farm income are land area, price of organic fertilizer and price of ZA fertilizer.
{"title":"The Impact of Mechanization Under UPJA Program on Rice Farming Income in Prambanan Sub-District Sleman District","authors":"Kurnia Arif Oktovianto, I. Irham, S. Hardyastuti","doi":"10.22146/AE.34835","DOIUrl":"https://doi.org/10.22146/AE.34835","url":null,"abstract":"The Agricultural machinery rental services (UPJA) program has an important role on the application of agricultural mechanization and increasing farming income. This study aims: (1) to compare the farm costs between the farmers who apply mechanization under UPJA program and those who do not (Non-UPJA), and (2) to know the effect of implementing agricultural mechanization and the other factors toward farm income in Prambanan Sub-District, Sleman District. The data collected consists of 25 farmers who apply agricultural mechanization under UPJA program, choosen by sensus and 25 farmers who do not apply (Non-UPJA), choosen by using proporsional random sampling. To determine the differences of farm costs, farming analysis and mean difference test using independent sample t-test was applied. To determine the effect of mechanization toward farm income, multiple liniear regression analysis was used. The result of mean difference test showed that there is no significant differences of farm costs between UPJA and Non-UPJA farmers. The result of multiple liniear regression analysis showed that mechanization has significant effect to the farm income. Farm income of the farmers who apply mechanization under UPJA program is significantly higher than the farmers who do not. Other factors that have significant effect to farm income are land area, price of organic fertilizer and price of ZA fertilizer.","PeriodicalId":33120,"journal":{"name":"Agro Ekonomi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43403364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims (1) to determine the income and feasibility of cultivation business using minapadi system (2) to know the level of cost risk, income and profit of farming minapadi, (3) to know the development strategy of cultivation using minapadi system in Sleman District of Yogyakarta. To analyse and interpret the data, it used descriptive analysis method. The location of the research was determined purposively it was in Seyegan Sub District. The number of respondents in this research was 43 farmers which consist of 23 minapadi farmers and 20 non minapadi farmers. The analysis used in this research was income, feasibility, risk and SWOT analysis. The result of the analysis showed that the income and profit of minapadi farmers are more than the non-minapadi farmers. The feasibility analysis of farming system in conducting the cultivation using minapadi system and non minapadi system respectively at 1.43 and 1.27, so that these two businesses are worthy to run since the value of R/C ratio was more than 1. The risk analysis shows that in the farm integrating minapadi has lower risk of costs, revenues, and profits. The appropriate strategy for the development of minapadi farming is the S-T strategy which is by utilizing the strengths to minimize the threats.
{"title":"The Analysis Of Business, Risk, And Development Strategy Of Minapadi (Paddy-Fish Integration Farming System) In Sleman District","authors":"M. Prasetyo, S. Hartono, M. Masyhuri","doi":"10.22146/AE.30820","DOIUrl":"https://doi.org/10.22146/AE.30820","url":null,"abstract":"This study aims (1) to determine the income and feasibility of cultivation business using minapadi system (2) to know the level of cost risk, income and profit of farming minapadi, (3) to know the development strategy of cultivation using minapadi system in Sleman District of Yogyakarta. To analyse and interpret the data, it used descriptive analysis method. The location of the research was determined purposively it was in Seyegan Sub District. The number of respondents in this research was 43 farmers which consist of 23 minapadi farmers and 20 non minapadi farmers. The analysis used in this research was income, feasibility, risk and SWOT analysis. The result of the analysis showed that the income and profit of minapadi farmers are more than the non-minapadi farmers. The feasibility analysis of farming system in conducting the cultivation using minapadi system and non minapadi system respectively at 1.43 and 1.27, so that these two businesses are worthy to run since the value of R/C ratio was more than 1. The risk analysis shows that in the farm integrating minapadi has lower risk of costs, revenues, and profits. The appropriate strategy for the development of minapadi farming is the S-T strategy which is by utilizing the strengths to minimize the threats.","PeriodicalId":33120,"journal":{"name":"Agro Ekonomi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48704735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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