Pub Date : 2023-09-27DOI: 10.35138/paspalum.v11i2.626
Zahra Nur Safa, Euis Dasipah, Dety Sukmawati
The trade distribution pattern describes the distribution chain of a commodity from the producer to the final consumer in an area where trading activities occur. The distribution of shallot commodities from final consumers involves one to seven trading business actors. The seven business actors can be broken down into six distribution patterns. Every business actor gets a transportation and trade margin (MPP) in his trading business, the longer the distribution chain, the potential for price increases for consumers. Farmers know the sources of price information from large farmers, collectors, and wholesalers. The distribution pattern in West Java Province consists of six patterns carried out by seven subjects, namely collectors, distributors, sub-distributors, agents, wholesalers, retailers, and supermarkets/supermarkets. This study took samples from shallot production centers in West Java, which is one sub-district which has the largest area and largest production. The number of farmers who became respondents was 10 percent, with the category of having been trying to cultivate shallots for at least three years which was analyzed descriptively. Based on the survey results, the MPP of shallots in West Java Province is 31.37 percent where the increase in the price of shallots from farmers to final consumers in West Java Province is 31.37 percent.
{"title":"Pola Distribusi Perdagangan dan MPP (Margin Pengangkutan dan Perdagangan) Bawang Merah di Jawa Barat","authors":"Zahra Nur Safa, Euis Dasipah, Dety Sukmawati","doi":"10.35138/paspalum.v11i2.626","DOIUrl":"https://doi.org/10.35138/paspalum.v11i2.626","url":null,"abstract":"The trade distribution pattern describes the distribution chain of a commodity from the producer to the final consumer in an area where trading activities occur. The distribution of shallot commodities from final consumers involves one to seven trading business actors. The seven business actors can be broken down into six distribution patterns. Every business actor gets a transportation and trade margin (MPP) in his trading business, the longer the distribution chain, the potential for price increases for consumers. Farmers know the sources of price information from large farmers, collectors, and wholesalers. The distribution pattern in West Java Province consists of six patterns carried out by seven subjects, namely collectors, distributors, sub-distributors, agents, wholesalers, retailers, and supermarkets/supermarkets. This study took samples from shallot production centers in West Java, which is one sub-district which has the largest area and largest production. The number of farmers who became respondents was 10 percent, with the category of having been trying to cultivate shallots for at least three years which was analyzed descriptively. Based on the survey results, the MPP of shallots in West Java Province is 31.37 percent where the increase in the price of shallots from farmers to final consumers in West Java Province is 31.37 percent.","PeriodicalId":500734,"journal":{"name":"Paspalum","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535462","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 : 2023-09-27DOI: 10.35138/paspalum.v11i2.540
Nalaratih Uswa Lutfiah, Sri Mardiyati, Muh Ikmal Saleh
The aim of this study was to determine the production and income of Arabica coffee farming, to analyze the factors that influence the production of Arabica coffee farming, to determine the effect of socio-economic factors on Arabica coffee farming income in Kendenan Village, Baraka District, Enrekang Regency. The population in this study were 120 people and 25% were taken. The sample was determined using simple random sampling technique. The samples obtained were 30 people. The data analysis used is income analysis and multiple linear regression. The results showed that the production of arabica coffee farming was 498.5 kg per hectare and the income of arabica coffee farming was IDR 9,122,887.50 per hectare. Factors that influence the production of Arabica coffee farming simultaneously are the area of land, the amount of fertilizer, labor, farming experience and the length of time they have attended formal education. Factors that significantly influence the production of Arabica coffee farming are land area and number of workers. Socio-economic factors that significantly influence the income of Arabica coffee farming are land area, labor wages and farming experience. 1. if the land area is increased by 1% (one percent), the income of Arabica coffee farming will increase by 1.6989 percent. Labor wages have a negative and significant effect on Arabica coffee farming income, meaning that if labor wages increase by 1 percent, Arabica coffee farming income will decrease by -0.87908. Farming experience has a positive and significant effect on Arabica coffee farming income, meaning that if farming experience increases by 1% (one percent), then Arabica coffee farming income will increase by 0.1974 percent.
{"title":"Pengaruh Faktor Sosial Ekonomi terhadap Pendapatan Usahatani Kopi Arabika di Desa Kendenan Kecamatan Baraka Kabupaten Enrekang","authors":"Nalaratih Uswa Lutfiah, Sri Mardiyati, Muh Ikmal Saleh","doi":"10.35138/paspalum.v11i2.540","DOIUrl":"https://doi.org/10.35138/paspalum.v11i2.540","url":null,"abstract":"The aim of this study was to determine the production and income of Arabica coffee farming, to analyze the factors that influence the production of Arabica coffee farming, to determine the effect of socio-economic factors on Arabica coffee farming income in Kendenan Village, Baraka District, Enrekang Regency. The population in this study were 120 people and 25% were taken. The sample was determined using simple random sampling technique. The samples obtained were 30 people. The data analysis used is income analysis and multiple linear regression. The results showed that the production of arabica coffee farming was 498.5 kg per hectare and the income of arabica coffee farming was IDR 9,122,887.50 per hectare. Factors that influence the production of Arabica coffee farming simultaneously are the area of land, the amount of fertilizer, labor, farming experience and the length of time they have attended formal education. Factors that significantly influence the production of Arabica coffee farming are land area and number of workers. Socio-economic factors that significantly influence the income of Arabica coffee farming are land area, labor wages and farming experience. 1. if the land area is increased by 1% (one percent), the income of Arabica coffee farming will increase by 1.6989 percent. Labor wages have a negative and significant effect on Arabica coffee farming income, meaning that if labor wages increase by 1 percent, Arabica coffee farming income will decrease by -0.87908. Farming experience has a positive and significant effect on Arabica coffee farming income, meaning that if farming experience increases by 1% (one percent), then Arabica coffee farming income will increase by 0.1974 percent.","PeriodicalId":500734,"journal":{"name":"Paspalum","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135536381","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 : 2023-09-27DOI: 10.35138/paspalum.v11i2.630
Juri Juswadi, Pandu Sumarna
This study aims to determine the labor productivity of the West Java agricultural sector and its correlation with the age of the workforce. The research method is descriptive quantitative. The secondary data used in this study comes from the book State of the Labor Force Situation in Indonesia, 2013 to 2022 the results of the National Labor Force Survey (Sakernas) published by the Central Bureau of Statistics (BPS), and the book Jawa Barat in Figures from 2008 to 2023 published by BPS West Java Province. The results showed: a) growth in labor productivity in the agricultural sector during the 2012-2022 period from IDR 22.29 million per worker per year in 2012 to IDR 31.56 million per worker per year in 2022; b) the largest number of workers starting sequentially is the age group of 45-54 years, age 35-44 years, age ≥ 60 years, and age 25-34 years, while the age group 15-24 years and age 55-59 years much lower; c) there was a decrease in the number of workers in the agricultural sector, except for the 55-59 year old group which an increase during the 2006-2017 period; d) the results of the Pearson correlation analysis show that there is a negative and significant correlation between labor productivity in the agricultural sector and the workforce in the 15-24 year old group (-0.821), 25-34 year old (-0.921), 35-44 year old (-0.948) ), and age 45-54 years (-0.848), while the workforce age group 55-59 years and age ≥ 60 is not related.
{"title":"Produktivitas Tenaga Kerja Sektor Pertanian dan Korelasinya dengan Usia Petani di Jawa Barat","authors":"Juri Juswadi, Pandu Sumarna","doi":"10.35138/paspalum.v11i2.630","DOIUrl":"https://doi.org/10.35138/paspalum.v11i2.630","url":null,"abstract":"This study aims to determine the labor productivity of the West Java agricultural sector and its correlation with the age of the workforce. The research method is descriptive quantitative. The secondary data used in this study comes from the book State of the Labor Force Situation in Indonesia, 2013 to 2022 the results of the National Labor Force Survey (Sakernas) published by the Central Bureau of Statistics (BPS), and the book Jawa Barat in Figures from 2008 to 2023 published by BPS West Java Province. The results showed: a) growth in labor productivity in the agricultural sector during the 2012-2022 period from IDR 22.29 million per worker per year in 2012 to IDR 31.56 million per worker per year in 2022; b) the largest number of workers starting sequentially is the age group of 45-54 years, age 35-44 years, age ≥ 60 years, and age 25-34 years, while the age group 15-24 years and age 55-59 years much lower; c) there was a decrease in the number of workers in the agricultural sector, except for the 55-59 year old group which an increase during the 2006-2017 period; d) the results of the Pearson correlation analysis show that there is a negative and significant correlation between labor productivity in the agricultural sector and the workforce in the 15-24 year old group (-0.821), 25-34 year old (-0.921), 35-44 year old (-0.948) ), and age 45-54 years (-0.848), while the workforce age group 55-59 years and age ≥ 60 is not related.","PeriodicalId":500734,"journal":{"name":"Paspalum","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535678","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 : 2023-09-27DOI: 10.35138/paspalum.v11i2.631
Agi Dahtiar, Anggito Abimanyu
The purpose of this research is to assess how satisfied farmers are with the performance of farmer groups in Binong village, Binong sub-district, and how well those groups' performance parameters match farmers' expectations. A questionnaire was employed for this research. A total of 75 participants were sampled using a proportional stratified random method. Attribute seven, "organizing and carrying out the division of tasks among members according to mutual agreement," had the highest level of conformity between importance and performance among the performance attributes of farmer groups, at 91.60%, according to the study's findings. Improving the sustainability of productivity while also protecting natural resources and the environment ranks lowest among the four most important areas for development identified by the Cartesian diagram. a decline in efficiency. According to data from the Customer Satisfaction Index (CSI) measuring various aspects of farmer organizations' performance, the vast majority of farmers are happy with their services.
{"title":"Analisis Kepuasan Petani terhadap Kinerja Kelompok Tani (Suatu Kasus Pada Petani Di Desa Binong Kecamatan Binong Kabupaten Subang)","authors":"Agi Dahtiar, Anggito Abimanyu","doi":"10.35138/paspalum.v11i2.631","DOIUrl":"https://doi.org/10.35138/paspalum.v11i2.631","url":null,"abstract":"The purpose of this research is to assess how satisfied farmers are with the performance of farmer groups in Binong village, Binong sub-district, and how well those groups' performance parameters match farmers' expectations. A questionnaire was employed for this research. A total of 75 participants were sampled using a proportional stratified random method. Attribute seven, \"organizing and carrying out the division of tasks among members according to mutual agreement,\" had the highest level of conformity between importance and performance among the performance attributes of farmer groups, at 91.60%, according to the study's findings. Improving the sustainability of productivity while also protecting natural resources and the environment ranks lowest among the four most important areas for development identified by the Cartesian diagram. a decline in efficiency. According to data from the Customer Satisfaction Index (CSI) measuring various aspects of farmer organizations' performance, the vast majority of farmers are happy with their services.","PeriodicalId":500734,"journal":{"name":"Paspalum","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535297","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 : 2023-09-27DOI: 10.35138/paspalum.v11i2.628
Abdul Halim Luthfi, Santi Rosniawaty, Intan Ratna Dewi Anjarsari, Mira Ariyanti
Liberoid Meranti coffee seeds can grow well if they are cared for properly. The plant nursery phase determines the successful growth of Liberoid Meranti coffee plants. One of the important maintenance actions carried out when cultivating coffee plants is choosing planting media and fertilization. The organic fertilizer that can be used as a planting media mixture in Liberoid meranti coffee nurseries is cow manure. Rabbit urine is a liquid organic material that contains nutrients, so it can be applied to soil or plants to add nutrients. Liquid organic materials contain macro- and micronutrients. Using the right composition of cow manure and rabbit urine concentrations really determines the growth of Liberoid Meranti coffee plant seeds. This experiment was carried out from February 2023 to June 2023 at the Ciparanje experimental garden, Padjadjaran University, Jatinangor District, Sumedang Regency. This experiment was carried out using a randomized group design (RAK) with nine treatments: soil + 2g urea; soil + 25% rabbit urine; soil + rabbit urine 50%; soil + cow manure (1:1) + rabbit urine 25%; soil + cow manure (1:1) + rabbit urine 50%; soil + cow manure (2:1) + rabbit urine 25%; soil + cow manure (2:1) + rabbit urine 50%; soil + cow manure (3:1) + rabbit urine 50%, and each treatment was repeated three times to obtain 27 experimental units. The experimental results showed that there was an influence of the composition of cow manure as a mixture of planting media and the concentration of rabbit urine on the growth of Liberoid Meranti coffee seedlings, except for the increase in the number of leaves. The composition of a mixture of planting media with cow manure (3:1) and a rabbit urine concentration of 25% provides the best growth for Liberoid Meranti coffee seedlings.
{"title":"Pengaruh Pupuk Kandang Sapi dan Konsentrasi Urine Kelinci terhadap Pertumbuhan Bibit Kopi Liberoid Meranti","authors":"Abdul Halim Luthfi, Santi Rosniawaty, Intan Ratna Dewi Anjarsari, Mira Ariyanti","doi":"10.35138/paspalum.v11i2.628","DOIUrl":"https://doi.org/10.35138/paspalum.v11i2.628","url":null,"abstract":"Liberoid Meranti coffee seeds can grow well if they are cared for properly. The plant nursery phase determines the successful growth of Liberoid Meranti coffee plants. One of the important maintenance actions carried out when cultivating coffee plants is choosing planting media and fertilization. The organic fertilizer that can be used as a planting media mixture in Liberoid meranti coffee nurseries is cow manure. Rabbit urine is a liquid organic material that contains nutrients, so it can be applied to soil or plants to add nutrients. Liquid organic materials contain macro- and micronutrients. Using the right composition of cow manure and rabbit urine concentrations really determines the growth of Liberoid Meranti coffee plant seeds. This experiment was carried out from February 2023 to June 2023 at the Ciparanje experimental garden, Padjadjaran University, Jatinangor District, Sumedang Regency. This experiment was carried out using a randomized group design (RAK) with nine treatments: soil + 2g urea; soil + 25% rabbit urine; soil + rabbit urine 50%; soil + cow manure (1:1) + rabbit urine 25%; soil + cow manure (1:1) + rabbit urine 50%; soil + cow manure (2:1) + rabbit urine 25%; soil + cow manure (2:1) + rabbit urine 50%; soil + cow manure (3:1) + rabbit urine 50%, and each treatment was repeated three times to obtain 27 experimental units. The experimental results showed that there was an influence of the composition of cow manure as a mixture of planting media and the concentration of rabbit urine on the growth of Liberoid Meranti coffee seedlings, except for the increase in the number of leaves. The composition of a mixture of planting media with cow manure (3:1) and a rabbit urine concentration of 25% provides the best growth for Liberoid Meranti coffee seedlings.","PeriodicalId":500734,"journal":{"name":"Paspalum","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535304","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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