The general objective of this research is to know how much agricultural land capacity in support of food self-sufficiency in South Minahasa regency. In particular, this study aims to know the area / region in South Minahasa regency which became the basis of the carrying capacity of food security, so that the area becomes a base bias related to population increases. Adadpun benefits of this research is expected to contribute ideas for the South Minahasa local governments and agencies involved in food security in order to address land use so as not to cause problems carrying capacity of land to food self-sufficiency. Contributing of this research is to the development of economic knowledge of the area and land resources. To achieve the objectives to be achieved in the research used a method that determines the level of the carrying capacity of crop lands with the concept of combination of theory Odum, Cristeiler, E Howard and Issard. This study found that the overall average of carrying capacity of crop lands in South Minahasa Regency is 0,414. It means that existing agricultural lands in South Minahasa Regency has not been able to perform self-sufficiency and has not been able to provide adequate food.
The purpose of this study was to analyze the income of farmers in Bengkol Village, Manado City. Quantitative data analysis methods to determine the income of coconut farmers in Bengkol Village. The number of respondents 20 0 the sampling was done deliberately (purposive sampling). The results showed that the average income category of farmers who own land and sell coconuts in the form of copra is Rp. 15.654.536 categories of farmers who own land and sell coconuts in the form of coconuts Rp. 773,400 and for the category of farmers who do not own land but have capital to sell coconuts in the form of copra and coconuts Rp. 7,330,500
This research is conducted in order to analyze the contribution of the agricultural sector toward the economy of North Bolaang Mongondow Regency in the period of 8 years, 2010 to 2017, and also in order to identify the agricultural sector and sub-sector is the base sector in North Bolaang Mongondow Regency. This research was conducted for three months started from December 2019 to January 2020 at the Central Statistics Agency of North Bolaang Mongondow Regency and the Central Statistics Agency of North Sulawesi Province. The data used are secondary data. Where secondary data were obtained from the Central Statistics Agency of North Bolaang Mongondow Regency and the Central Statistics Agency of North Sulawesi Province. The data analysis used is the contribution formula, Location Quotient analysis and Dynamic Location Quotient method. The results of this study indicates that the agricultural, forestry and fisheries sectors are the largest contributors or major contributors to the economy of North Bolaang Mongondow Regency from 2010 to 2017. Based on the result analysisof the Location Quotient it can be seen that the agricultural, forestry and fisheries sectors are the basic sectors in North Bolaang Mongondow Regency. It means, this sector is able to fulfill the necessity for their own region and it is also possible to do exporting to outside of region. Furthermore, the sub-sector which is the base sector in North Bolaang Mongondow Regency is the forestry sub-sector. The crop subsector and the annual horticultural subsector contained in the agriculture, livestock and agricultural services sub-sector are also the base sectors in North Bolaang Mongondow Regency.
This study aims to identify factors causing the conversion of wetland to non-rice field in Tompaso Baru Sub-district of South Minahasa Regency. This research was conducted for 3 months from December 2017 until January 2018. The data used in this research are primary data and secondary data. Primary data was optained from interview to respondent, while secondary data was optained from Tompaso Baru District office and BP4K. The result of the research shows the factors causing the conversion of rice field in Tompaso Baru sub-district of South Minahasa Regency are economic factors (low farm income, land selling price), policy, and availability of water.*ghmk*.
The objective of this research is to find out how the relationship between customer satisfaction and loyalty at Moffee Coffee Store Manado. This research was conducted from May 2022 to August 2022. The data used in this study are primary data and secondary data. Primary data obtained from direct interviews with consumers using a questionnaire. Secondary data was obtained from Moffee Coffee Store documents. With the number of respondents as many as 81 people. The sampling technique used was accidental sampling. Data analysis used in this research is descriptive analysis and spearman rank correlation analysis. Based on the research results, the level of customer satisfaction at the Moffee Coffee Store is classified as very satisfied with a total score of 1430. Meanwhile, the relationship between customer satisfaction and loyalty at the Moffee Coffee Store has a positive and significant relationship between the variable customer satisfaction (X) and the variable Loyalty (Y). this is evident from the Spearman rank correlation value of 0.666, so it has a strong relationship level, and with a significant level of 0.000 below 0.05%, this means that the increasing customer satisfaction, will increase loyalty at the Moffee Coffee Store.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.