This study aims to determine the characteristics of smallholder farmers in Tolok Village, Tompaso District. The study was conducted in August to September 2019. The selection of samples in this study was carried out purposevley with 33 respondent farmers, namely those who have small size of land of less than 0.5 hectares. The data used in this study are primary data and secondary data. Primary data collected through interviews and observations. Secondary data were obtained from the Tolok Village office, library and the Internet. Data analysis uses description analysis, which describes the characteristics of smallholder farmers and is presented in tabular form. The results showed that farmers who have small size of land with low income and are unable to rely solely on the agricultural sector as a source of income. The non-agricultural sector is also used as a source of additional income to meet their needs.*eprm*
This study aims to calculate the business profit of "Pia Melati" in Mariyai Village, Sorong Regency, West Papua. This research was conducted for 3 months from September to November 2017. Data collection method used in this study is survey method. Data used is primary data by interviewingtechniques to business owners using a questionnaire. Secondary data was obtained from the Food and Industrial Processing Service of Sorong Regency. The results of this study indicate that this business costsfor a month is Rp.57,162,654, revenue is Rp.77,625,000 and profit is Rp.20,012,346. R/C ratio of 1.35, is indicated that this business is profitable.*llr+eprm*
The purpose of this study is to analyze the income of lowland rice farming in Tonom Village, Dumoga Timur District, Bolaang Mongondow Regency. This research was conducted for 3 months, from November 2021 to January 2022. The data used in this study were primary data and secondary data. The sample was selected using a proportional stratified random sampling method (Proportionate Stratified Random Sampling). The population was divided into three strata based on the area of land planted with lowland rice, namely strata I (land area 1 Ha), Strata II (land area 1-2 Ha) and strata III (land area 2 Ha). The number of samples is 30 people from 116 farmer population. The results of this study indicate that the income of lowland rice farming per hectare at strata I, II, and III respectively is Rp. 6,029,865, Rp. 6,241,915, and Rp. 6,257,939. This shows a tendency that the larger the cultivated land, the higher the income per hectare from lowland rice farming.
This study aims to analyze factors that influence the use of Cyber Extension by agricultural extension workers in Manado City. The type of data in this study is primary data obtained directly from interviews and through questionnaires distributed to respondents, namely agricultural extension workers in Manado City. The number of samples in this study amounted to 30 people with data collection techniques using purposive sampling technique. The results of this study indicate that the factors that influence the use of Cyber Extension by agricultural extension workers in Manado City are age, education, training, and media ownership.
The objective of this research is to assess the economic development disparities among districts and cities in North Maluku in 2010 - 2015 period. This research is motivated by the diversity of natural resources and demographic conditions, differences in income per capita and economic growth contained in each regency and town in North Maluku. As a result of these differences, the ability to increase economic development is different from one region to the other region. The data collected for two months from February to March 2017. The data used are PDRB per capita data, population data and economic growth data obtained from Central Bureau of Statistics of North Maluku Province. Analysis of data in the form of descriptive analysis presented in tabular form using Williamson Index analysis tool. The results showed that the economic development district and cities in the province of North Maluku during the period 2010 - 2015 continues to inequality, where the data is used proved that there are significant differences among the districts and cities in North Maluku. Results proficiency level could be seen clearly when analyzed by Williamson Index which indicates that the rate of economic development was still classified inequality on inequality of economic development. This was due to the diversity of potential and natural resources among districts and cities that led to per capita income and economic growth becomes different resulting imbalance of economic development.
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