Pub Date : 2018-02-05DOI: 10.21776/UB.AGRISE.2018.018.1.4
Ika Purnamasari, A. N. Hanani, S. Suhartini
These research goals are to analyze the factors that affect the production of sugar cane, to analyze the level of technical efficiency of farming sugar cane, and to analyze the factors that technical inefficiency affecting sugar cane farming in the dry land and irrigated land. Methods of data analysis that is used to find out the factors that affect the production of sugar cane and the level of technical efficiency of sugar cane farming is a stochastic production frontier. In order to find the factors that affect technical inefficiency of sugar cane efficiency, Tobit analysis is applied. The results show that the influential factors towards the production of sugar cane in the dry land i.e. number of seedlings and the number of labor, while sugar cane production in the irrigated land are the amount of labor, Urea fertilizer, Ponska fertilizer and herbicides. The average technical efficiency of sugar cane farming achieved in the dry land is 0.887 and the average technical efficiency of irrigated land is 0.928. Factors that influence technical inefficiency of sugar cane farming in the dry land are rejuvenation of sugar cane (keprasan), frequency of counseling, and seeds. While the factors for irrigated land are rejuvenation of sugar cane (keprasan) and frequency of counseling.
{"title":"TECHNICAL EFFICIENCY ANALYSIS OF SUGAR CANE FARMING IN EAST JAVA, INDONESIA (Statistical Approach of Frontier Production Functions)","authors":"Ika Purnamasari, A. N. Hanani, S. Suhartini","doi":"10.21776/UB.AGRISE.2018.018.1.4","DOIUrl":"https://doi.org/10.21776/UB.AGRISE.2018.018.1.4","url":null,"abstract":"These research goals are to analyze the factors that affect the production of sugar cane, to analyze the level of technical efficiency of farming sugar cane, and to analyze the factors that technical inefficiency affecting sugar cane farming in the dry land and irrigated land. Methods of data analysis that is used to find out the factors that affect the production of sugar cane and the level of technical efficiency of sugar cane farming is a stochastic production frontier. In order to find the factors that affect technical inefficiency of sugar cane efficiency, Tobit analysis is applied. The results show that the influential factors towards the production of sugar cane in the dry land i.e. number of seedlings and the number of labor, while sugar cane production in the irrigated land are the amount of labor, Urea fertilizer, Ponska fertilizer and herbicides. The average technical efficiency of sugar cane farming achieved in the dry land is 0.887 and the average technical efficiency of irrigated land is 0.928. Factors that influence technical inefficiency of sugar cane farming in the dry land are rejuvenation of sugar cane (keprasan), frequency of counseling, and seeds. While the factors for irrigated land are rejuvenation of sugar cane (keprasan) and frequency of counseling.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121296764","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}
Pub Date : 2017-08-31DOI: 10.21776/UB.AGRISE.2017.017.3.1
S. Sujarwo
Farmers face high risk and uncertainty in their production. There are farmers that are able to manage the risk; however, most of them fail to adapt the risk and uncertainty. If catastropihic losses happen then the farmers will suffer and come to the poverty. Therefore, government of Indonesia attempts to conduct agricultural insurance policy to prevent that case happening specially for small-scale farming. This study contributes in understanding what factors will endorse the acceptance of agricultural insurance for small-scale farming. The data analysis employed is binomial logistic regression in finding factors that negatively or positively affect the agricultural insurance program. The data was obtained through survey conducted in January to Mei 2017. The location of this study is Malang Regency, East-Java Province, Indonesia. The results found that there was 50 percent of the farmers accepting the agricultural insurance program and the other half of farmers unwilling to support the program. Regarding factors which affect negatively to the willingness to accept agricultural insurance are age, profit, and the number sources of income. Then, the factors which affects positively to the agricultural insurance are farming size, the experience of buying insurance, and also the intencity of farmers in attending farmers’ group meeting.
{"title":"FACTORS AFFECTING FARMERS’ ACCEPTABILITY TOWARD AGRICULTURAL INSURANCE PROGRAM IN MALANG, EAST JAVA, INDONESIA","authors":"S. Sujarwo","doi":"10.21776/UB.AGRISE.2017.017.3.1","DOIUrl":"https://doi.org/10.21776/UB.AGRISE.2017.017.3.1","url":null,"abstract":"Farmers face high risk and uncertainty in their production. There are farmers that are able to manage the risk; however, most of them fail to adapt the risk and uncertainty. If catastropihic losses happen then the farmers will suffer and come to the poverty. Therefore, government of Indonesia attempts to conduct agricultural insurance policy to prevent that case happening specially for small-scale farming. This study contributes in understanding what factors will endorse the acceptance of agricultural insurance for small-scale farming. The data analysis employed is binomial logistic regression in finding factors that negatively or positively affect the agricultural insurance program. The data was obtained through survey conducted in January to Mei 2017. The location of this study is Malang Regency, East-Java Province, Indonesia. The results found that there was 50 percent of the farmers accepting the agricultural insurance program and the other half of farmers unwilling to support the program. Regarding factors which affect negatively to the willingness to accept agricultural insurance are age, profit, and the number sources of income. Then, the factors which affects positively to the agricultural insurance are farming size, the experience of buying insurance, and also the intencity of farmers in attending farmers’ group meeting.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128951726","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}
Pub Date : 2017-08-31DOI: 10.21776/UB.AGRISE.2017.017.3.5
Nico Adi Putra Hutabarat
As an exporter of dried cassava, Indonesia ranks third worldwide; following Thailand and Vietnam. Indonesia was among the top four of dried cassava producers in the world; however, between year 2000 and 2015, by average only 0.63% of the total production was exported. Indonesia needs to improve the competitiveness performance. This study investigates the growth in exports of Indonesian Cassava in the World Market. The Constant Market Share (CMS) was used to measure the growth in exports of Indonesian Cassava. Based on result of Constant Market Share (CMS), Indonesia, Thailand, and Vietnam maintained their share in the world market during the Global Economic Crisis, because the growth rates of dried cassava import relative quickly during the crisis. The crisis make the import of other commodities are decreased during the crisis. But, it did not happen for dried cassava. The dried cassava export to the world survived during this crisis.
{"title":"The Export Performance of Indonesian Dried Cassava in the World Market","authors":"Nico Adi Putra Hutabarat","doi":"10.21776/UB.AGRISE.2017.017.3.5","DOIUrl":"https://doi.org/10.21776/UB.AGRISE.2017.017.3.5","url":null,"abstract":"As an exporter of dried cassava, Indonesia ranks third worldwide; following Thailand and Vietnam. Indonesia was among the top four of dried cassava producers in the world; however, between year 2000 and 2015, by average only 0.63% of the total production was exported. Indonesia needs to improve the competitiveness performance. This study investigates the growth in exports of Indonesian Cassava in the World Market. The Constant Market Share (CMS) was used to measure the growth in exports of Indonesian Cassava. Based on result of Constant Market Share (CMS), Indonesia, Thailand, and Vietnam maintained their share in the world market during the Global Economic Crisis, because the growth rates of dried cassava import relative quickly during the crisis. The crisis make the import of other commodities are decreased during the crisis. But, it did not happen for dried cassava. The dried cassava export to the world survived during this crisis.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131796260","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}
Pub Date : 2017-08-31DOI: 10.21776/UB.AGRISE.2017.017.3.6
A. Arifin
Small islands have food development constraints due to their location characteristics which are dispersed and isolated. These small islands have limited capacity of land resource along with low efficiency of food distribution so that it influences sufficiency level of affordable food availability. Therefore, the aims of this research are: (1) to analyze regional food balance to fulfil food and nutrition needs; (2) to analyze the direction of food production development with small island basis; and (3) to analyze the interaction pattern of food distribution among small islands to ensure sufficiency food availability. This research was conducted in March-December 2016 in South Halmahera Regency. This research design is explorative using primary and secondary data. Primary data was collected by observation results, interview, and Focused Group Discussion (FGD). The result research shows that land optimization for the development of Wetland Food Crops (TPLB), Dry land Food Crops (TPLK), and Annual Food crops (TPT) are able to fulfil South Halmahera people’s food needs and its land availability surplus is 5.159,2; 34.834,9 and 21.971,0 ha. Interaction pattern among small island is needed for food availability from TPLK and TPLB in Bacan and Makian Small Island. Interaction pattern among small islands is needed for rice availability in all sub district of South Halmahera by optimize land resource potential, system recovery of land transportation and port warehouse in every small islands, empowerment of citizen ship in rice distribution from small island centre to every sub districts as well as TPLK and TPT distribution from nearby sub district in the same small island.
{"title":"PRODUCTION OPTIMIZATION AND FOOD NEEDS PROVISION DISTRIBUTION IN SOUTH HALMAHERA REGENCY, NORTH MALUKU","authors":"A. Arifin","doi":"10.21776/UB.AGRISE.2017.017.3.6","DOIUrl":"https://doi.org/10.21776/UB.AGRISE.2017.017.3.6","url":null,"abstract":"Small islands have food development constraints due to their location characteristics which are dispersed and isolated. These small islands have limited capacity of land resource along with low efficiency of food distribution so that it influences sufficiency level of affordable food availability. Therefore, the aims of this research are: (1) to analyze regional food balance to fulfil food and nutrition needs; (2) to analyze the direction of food production development with small island basis; and (3) to analyze the interaction pattern of food distribution among small islands to ensure sufficiency food availability. This research was conducted in March-December 2016 in South Halmahera Regency. This research design is explorative using primary and secondary data. Primary data was collected by observation results, interview, and Focused Group Discussion (FGD). The result research shows that land optimization for the development of Wetland Food Crops (TPLB), Dry land Food Crops (TPLK), and Annual Food crops (TPT) are able to fulfil South Halmahera people’s food needs and its land availability surplus is 5.159,2; 34.834,9 and 21.971,0 ha. Interaction pattern among small island is needed for food availability from TPLK and TPLB in Bacan and Makian Small Island. Interaction pattern among small islands is needed for rice availability in all sub district of South Halmahera by optimize land resource potential, system recovery of land transportation and port warehouse in every small islands, empowerment of citizen ship in rice distribution from small island centre to every sub districts as well as TPLK and TPT distribution from nearby sub district in the same small island.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116288897","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}
Pub Date : 2017-08-31DOI: 10.21776/UB.AGRISE.2017.017.3.4
Rina Suprihati
: Paddy fields commonly possesses intrinsic natural processes and external benefits that support land productivity. Soil fertility which shown by nutrient contents (Nitrogen, phosporous, potassium and organic matters) gives evidence of the existence of natural processes that occur within the soil that will be lost when land conversion happens. Similarly the external benefit of paddy fields as container of domestic waste compost will be lost too due to the land conversion. These functions and benefits are very important but are not appreciated by society. Giving economic values to paddy fields based on these two faculties will inform the society how valuable paddy fields are as natural resources. The economic valuation method used in this reserch is the Replacement Cost Method (RCM) with mathematical formula as follows NELSsFPUH = (U N x P n + U P x P p + U K x P k + U BO x P BO ) x A for economic value of paddy field as provider of nutrients contents (N, P, K) and organic matters; and NELSPK = (WK/KK) x PK x A for economic value of paddy field as compost container. The research was taken place in 6 sub-subdistricts in Lowokwaru Subdistrict with 205 hectares of paddy fields. The economic value of paddy field is about Rp 133,31 billions for economic value of paddy field as provider of nutrients contents (N, P, K) and organic matters; and Rp 7,76 billions for economic value of paddy field as compost container. For both faculties the average economic value Rp 688,18 million per hectare. Paddy fields in Lowokwaru Subdistricts are very feasible to be protected from conversion due to its satisfactory soil fertility and its potential to be increased, thus it is able to maintain land productivity. Therefore, it is very reasonable to call pady fields as productive open green space in which economic and social activities can be developed
水田通常具有支持土地生产力的内在自然过程和外部效益。由养分含量(氮、磷、钾和有机质)显示的土壤肥力证明了土壤中发生的自然过程的存在，这些过程在土地转换发生时将会消失。同样，水田作为家庭废物堆肥容器的外部效益也将因土地改造而丧失。这些功能和好处非常重要，但却没有得到社会的重视。在这两种能力的基础上赋予水田经济价值，将告诉社会水田作为自然资源的价值。本研究采用的经济评价方法为重置成本法(RCM)，数学公式为:NELSsFPUH = (U N × P N + U P × P P + U K × P K + U BO × P BO) × A水田作为养分含量(N、P、K)和有机质提供者的经济价值;稻田作为堆肥容器的经济价值为NELSPK = (WK/KK) × PK × A。该研究在Lowokwaru街道的6个街道进行，共有205公顷稻田。稻田的经济价值约为133,310亿卢比，稻田作为养分含量(N, P, K)和有机质的提供者的经济价值;水田作为堆肥容器的经济价值为7,760亿卢比。这两个学院的平均经济价值为每公顷6.8818亿卢比。由于Lowokwaru街道的水田具有令人满意的土壤肥力和增加的潜力，因此能够保持土地生产力，因此保护水田不被改造是非常可行的。因此，将稻田称为可开展经济社会活动的生产性开放绿地是十分合理的
{"title":"THE ECONOMIC VALUE OF PADDY FIELD BASED ON ITS FACULTIES TO SUPPORT LAND PRODUCTIVITY IN LOWOKWARU SUBDISTRICT, MALANG, EAST JAVA","authors":"Rina Suprihati","doi":"10.21776/UB.AGRISE.2017.017.3.4","DOIUrl":"https://doi.org/10.21776/UB.AGRISE.2017.017.3.4","url":null,"abstract":": Paddy fields commonly possesses intrinsic natural processes and external benefits that support land productivity. Soil fertility which shown by nutrient contents (Nitrogen, phosporous, potassium and organic matters) gives evidence of the existence of natural processes that occur within the soil that will be lost when land conversion happens. Similarly the external benefit of paddy fields as container of domestic waste compost will be lost too due to the land conversion. These functions and benefits are very important but are not appreciated by society. Giving economic values to paddy fields based on these two faculties will inform the society how valuable paddy fields are as natural resources. The economic valuation method used in this reserch is the Replacement Cost Method (RCM) with mathematical formula as follows NELSsFPUH = (U N x P n + U P x P p + U K x P k + U BO x P BO ) x A for economic value of paddy field as provider of nutrients contents (N, P, K) and organic matters; and NELSPK = (WK/KK) x PK x A for economic value of paddy field as compost container. The research was taken place in 6 sub-subdistricts in Lowokwaru Subdistrict with 205 hectares of paddy fields. The economic value of paddy field is about Rp 133,31 billions for economic value of paddy field as provider of nutrients contents (N, P, K) and organic matters; and Rp 7,76 billions for economic value of paddy field as compost container. For both faculties the average economic value Rp 688,18 million per hectare. Paddy fields in Lowokwaru Subdistricts are very feasible to be protected from conversion due to its satisfactory soil fertility and its potential to be increased, thus it is able to maintain land productivity. Therefore, it is very reasonable to call pady fields as productive open green space in which economic and social activities can be developed","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128638394","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}
Pub Date : 2017-08-31DOI: 10.21776/UB.AGRISE.2017.017.3.3
A. Haq
Location is an important part of social and economic activities of the concerned area by the proximity of one activity to another activity and the impact on these activities. In industrial activities, selecting the right location can have an impact on expenses both production costs and marketing costs. Development of the agricultural industry based on sugarcane and sugar as the main product is a strategic commodity. There are many sugarcane production in some areas still not been used by the sugar factorys. Capacity of sugar factorys that are still on a small scale led to these production of sugarcane being not fully used. One effort to utilize the production of sugar cane is to built a new sugar factory. This study aimed to analyze the deciding factorsof the sugar factory industry site selection and determine potential locations in Blitar. The analytical method used are factor analysis and factor rating. The results showed that the factors that affect the site selection of the sugar factory industry are spatial concentration factor, the factor of raw materials and infrastructure factors. Other potential sites for the construction of the sugar factory industry in Blitar including the District Nglegok, Ponggok, Binangun, Kanigoro and Wonotirto.
{"title":"ANALYSIS OF DETERMINING LOCATION INDUSTRY SUGAR FACTORY IN THE DISTRICT BLITAR","authors":"A. Haq","doi":"10.21776/UB.AGRISE.2017.017.3.3","DOIUrl":"https://doi.org/10.21776/UB.AGRISE.2017.017.3.3","url":null,"abstract":"Location is an important part of social and economic activities of the concerned area by the proximity of one activity to another activity and the impact on these activities. In industrial activities, selecting the right location can have an impact on expenses both production costs and marketing costs. Development of the agricultural industry based on sugarcane and sugar as the main product is a strategic commodity. There are many sugarcane production in some areas still not been used by the sugar factorys. Capacity of sugar factorys that are still on a small scale led to these production of sugarcane being not fully used. One effort to utilize the production of sugar cane is to built a new sugar factory. This study aimed to analyze the deciding factorsof the sugar factory industry site selection and determine potential locations in Blitar. The analytical method used are factor analysis and factor rating. The results showed that the factors that affect the site selection of the sugar factory industry are spatial concentration factor, the factor of raw materials and infrastructure factors. Other potential sites for the construction of the sugar factory industry in Blitar including the District Nglegok, Ponggok, Binangun, Kanigoro and Wonotirto.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125787892","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}
Pub Date : 2017-08-31DOI: 10.21776/ub.agrise.2017.017.3.2
D. Renita, R. Anindita
The purposes of this research is to describe local knowledge of farmer’s perception toward climate change and to analyze farmer’s intention toward climate change adaptation based on the theory of planned behavior. The sampling method used is simple random sampling with the population is the farmers in the research location. Data was analyzed using descriptive statistics analysis and also structural equation modeling – partial least square (SEM-PLS) for generating information regarding farners behavior toward climate change. The results showed that 57.5 percent of respondents said that the intensity of rainy season and the temperature were changing significantly and 40 percent respodents also agree that the temperature was getting higher. There was 65% of respondents said that the climate change was driven by deforestration or logging. However, there was 17.5% of respondents said that factories have caused the climate change. Impact of climate change cause increasing pests and diseases attacking paddy crops and decreasing significantly of land productivity. For the structural equation modeling, subjective norm and perceived behavior control infuence positively the intention of farmers’ adaptation toward climate change.
{"title":"FARMER’S INTENTION ON CLIMATE CHANGE ADAPTATION","authors":"D. Renita, R. Anindita","doi":"10.21776/ub.agrise.2017.017.3.2","DOIUrl":"https://doi.org/10.21776/ub.agrise.2017.017.3.2","url":null,"abstract":"The purposes of this research is to describe local knowledge of farmer’s perception toward climate change and to analyze farmer’s intention toward climate change adaptation based on the theory of planned behavior. The sampling method used is simple random sampling with the population is the farmers in the research location. Data was analyzed using descriptive statistics analysis and also structural equation modeling – partial least square (SEM-PLS) for generating information regarding farners behavior toward climate change. The results showed that 57.5 percent of respondents said that the intensity of rainy season and the temperature were changing significantly and 40 percent respodents also agree that the temperature was getting higher. There was 65% of respondents said that the climate change was driven by deforestration or logging. However, there was 17.5% of respondents said that factories have caused the climate change. Impact of climate change cause increasing pests and diseases attacking paddy crops and decreasing significantly of land productivity. For the structural equation modeling, subjective norm and perceived behavior control infuence positively the intention of farmers’ adaptation toward climate change.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129297738","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}
Pub Date : 2017-06-03DOI: 10.21776/UB.AGRISE.2017.017.2.2
Dwi Retnonigsih
Horticulture is one of important subsectors for agricultural development in East Java. Increasing demand of high quality seed of horticulture results an increasing demand of land for seed breeding. The objectives of this research were to analyze potential of various potential horticultural crops, to calculate economic feasibility, to analyze business marketing chain and to identify potential horticultural seeds breeding for agribusiness development. Data analysis method that used in this research was Location Quotient (LQ), Supply Chain, Business Feasibility (Feasibility Study), and AHP (Analytical Hierarchy Process). The research was conducted in 5 (five) Regencies. The research conducted by interview to the breeder, user farmers, and seeds seller. The research results showed that potential horticultural seeds in five Regencies based on LQ and local government program are rose apple ( Syzygium aqueum ), longan fruit, durian, ginger, bird’s eye chili or thai chili, orange, potato, and mango. All potential commodities above were feasible to be developed based on R/C ratio, B/C ratio, NPV, and IRR calculation. Marketing chain for those potential commodities vary started from breeder farmer, middleman, farmer group, Regional Owned Enterprises to the user farmer or individual farmer. The prospect of those potential horticultural seeds breeding based on AHP analysis results some attributes to be considered, they are seeds quality and growth capability.
{"title":"FEASIBILITY STUDY OF THE HIGH-YIELDING HORTICULTURE SEEDS BREEDING AGRIBUSINESS DEVELOPMENT IN EAST JAVA","authors":"Dwi Retnonigsih","doi":"10.21776/UB.AGRISE.2017.017.2.2","DOIUrl":"https://doi.org/10.21776/UB.AGRISE.2017.017.2.2","url":null,"abstract":"Horticulture is one of important subsectors for agricultural development in East Java. Increasing demand of high quality seed of horticulture results an increasing demand of land for seed breeding. The objectives of this research were to analyze potential of various potential horticultural crops, to calculate economic feasibility, to analyze business marketing chain and to identify potential horticultural seeds breeding for agribusiness development. Data analysis method that used in this research was Location Quotient (LQ), Supply Chain, Business Feasibility (Feasibility Study), and AHP (Analytical Hierarchy Process). The research was conducted in 5 (five) Regencies. The research conducted by interview to the breeder, user farmers, and seeds seller. The research results showed that potential horticultural seeds in five Regencies based on LQ and local government program are rose apple ( Syzygium aqueum ), longan fruit, durian, ginger, bird’s eye chili or thai chili, orange, potato, and mango. All potential commodities above were feasible to be developed based on R/C ratio, B/C ratio, NPV, and IRR calculation. Marketing chain for those potential commodities vary started from breeder farmer, middleman, farmer group, Regional Owned Enterprises to the user farmer or individual farmer. The prospect of those potential horticultural seeds breeding based on AHP analysis results some attributes to be considered, they are seeds quality and growth capability.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125146496","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}
Pub Date : 2017-06-03DOI: 10.21776/UB.AGRISE.2017.017.2.6
M. D. Putri
This study aimed to analyze the determinant competitiveness factors of agro-industry Pineapple in Pangkalpinang and to analyze the relationship between components in these factors in favor of agro-industry cluster growth pineapple. This study was conducted in September 2016 up to March 2017 in Pangkalpinang. The data are obtained from a survey. The sample size used in this study are 47 respondents. The analytical method used is descriptive analysis, Delphi techniques, and the porter's diamond model analysis. The results of this study found that the determinant factors in the competitiveness of pineapple agro-industry in Pangkalpinang Municipality are the role of government factor and the opportunity factor. While the factors that have average influence are strategy, structure and competition factor, demand factors, and factors related and supported industries. The relationship among the factors is clear that labor and raw material are closely related to internal strength and the major components for growing the pineapple agroindustry cluster are demand factor, strategy, structure in the industry and the rivalry.
{"title":"DETERMINANT FACTORS TOWARDS THE COMPETITIVENESS OF PINEAPPLE AGROINDUSTRY IN PANGKALPINANG","authors":"M. D. Putri","doi":"10.21776/UB.AGRISE.2017.017.2.6","DOIUrl":"https://doi.org/10.21776/UB.AGRISE.2017.017.2.6","url":null,"abstract":"This study aimed to analyze the determinant competitiveness factors of agro-industry Pineapple in Pangkalpinang and to analyze the relationship between components in these factors in favor of agro-industry cluster growth pineapple. This study was conducted in September 2016 up to March 2017 in Pangkalpinang. The data are obtained from a survey. The sample size used in this study are 47 respondents. The analytical method used is descriptive analysis, Delphi techniques, and the porter's diamond model analysis. The results of this study found that the determinant factors in the competitiveness of pineapple agro-industry in Pangkalpinang Municipality are the role of government factor and the opportunity factor. While the factors that have average influence are strategy, structure and competition factor, demand factors, and factors related and supported industries. The relationship among the factors is clear that labor and raw material are closely related to internal strength and the major components for growing the pineapple agroindustry cluster are demand factor, strategy, structure in the industry and the rivalry.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132250940","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}
Pub Date : 2017-06-03DOI: 10.21776/ub.agrise.2017.017.2.5
Nining Hariyani
The purposes of this research are to analyze production and price risk level of red chili farming especially on dry land in off - season . Data are collected through interview to 47 farmers who grow red chili on dry land during the rainy season. The research results show that price ri s k level is higher than production risk level . Coefficient of variation (CV) of Chili price is 0.32 and the CV of chili production is 0.05. The risk of price is higher than production risk level due to the fact that price is more volatile and more difficult to control by farmers . Additionally, production risk is still manageable and can be controlled by farmers through the implementation of off-season cultivation technology combining by the experience of farmers in the production. However, the total production are still lower than the potential productivity due to the weather constraint . In order to reduce the level of production and price risk, farmers can make diversivication crops to secure income. In addition, farmers must actively observe price and make decision of production accordingly.
{"title":"THE RISK LEVEL OF PRODUCTION AND PRICE OF RED CHILI FARMING IN KEDIRI REGENCY, EAST JAVA PROVINCE, INDONESIA","authors":"Nining Hariyani","doi":"10.21776/ub.agrise.2017.017.2.5","DOIUrl":"https://doi.org/10.21776/ub.agrise.2017.017.2.5","url":null,"abstract":"The purposes of this research are to analyze production and price risk level of red chili farming especially on dry land in off - season . Data are collected through interview to 47 farmers who grow red chili on dry land during the rainy season. The research results show that price ri s k level is higher than production risk level . Coefficient of variation (CV) of Chili price is 0.32 and the CV of chili production is 0.05. The risk of price is higher than production risk level due to the fact that price is more volatile and more difficult to control by farmers . Additionally, production risk is still manageable and can be controlled by farmers through the implementation of off-season cultivation technology combining by the experience of farmers in the production. However, the total production are still lower than the potential productivity due to the weather constraint . In order to reduce the level of production and price risk, farmers can make diversivication crops to secure income. In addition, farmers must actively observe price and make decision of production accordingly.","PeriodicalId":130060,"journal":{"name":"Agricultural Socio-Economics Journal","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130135778","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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