scholarly journals Penentuan Sektor Unggulan di Kabupaten Kepulauan Anambas

2020 ◽  
Vol 11 (1) ◽  
pp. 95-110
Author(s):  
Ruth Yuliani Hutabarat

This paper aims to analyze the leading sectors of the economy in Kepulauan Anambas Regency. The data analysis method used is the Location Quotient (LQ), Shift-Share, and Klassen Typology, with the analysis area of Kepulauan Anambas Regency and the reference area of Kepulauan Riau Province. Based on LQ analysis, it is known that the leading sector of Kepulauan Anambas Regency is Agriculture, Forestry, and Fisheries sector, as well as Mining and Quarrying sector. Based on Shift-Share analysis, it is known that the Construction sector and Health Services and Social Activities sector are sectors with rapid growth, while the Agriculture, Forestry, and Fisheries sectors are stunted but growing sectors. Based on the Klassen Typology analysis, it is found that the Agriculture, Forestry and Fisheries Sector is the leading sector and has rapid growth. While the Mining and Quarrying sector is the leading sector but the growth is stunted. The Construction sector, Real Estate sector, and Health Services and Social Activities sector which are potential sectors and can still be developed.  

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Nurlina Nurlina ◽  
Puti Andiny ◽  
Maulia Sari

This study aims to analyze the leading sectors in the economy in Eastern Aceh. The data analysis method used is Location Quotient (LQ) analysis and Shift Share analysis. Based on the calculation of LQ, it is known that the leading sector of East Aceh Regency is the mining sector and the LQ excavation from 2010-2016 with an average of 1,68 (LQ>1). This is because the availability of mineral content in East Aceh Regency increases the regional economy. The leading sector of Langsa City is health services and social activities with an average LQ since 2010-2016 of 2,10 (LQ>1). The leading sector of Aceh Tamiang Regency is the mining sector and excavation with an average LQ from 2010-2016 of 1,77 (LQ>1). Based on the shift share analysis, it is explained that the highest sector providing an increase in Aceh's GDRP was in the agriculture, forestry and fisheries sectors, and it was in the East Aceh District and Aceh Tamiang District, while Langsa City was not included. The sector that contributes to the increase in Aceh's GDRP, in Langsa City the sector that provides the highest increase in Aceh's GDRP is the sector of large and retail trade, car and motorcycle repair.


2020 ◽  
Vol 16 (2) ◽  
pp. 148-165
Author(s):  
Ismail Rasulong ◽  
Muhammad Zaimuddin

This study aims to determine the shifting economic structure and find out the leading sektors in Soppeng Regency in 2013-2017. The type of research used is quantitative research. The data processed is the data of the Gross Regional Domestic Product (GRDP) of Soppeng Regency and South Sulawesi Province on the basis of constant prices in 2010 in 2013-2017 in all sectors. The data analysis technique used to determine the shift in economic structure and leading sektors in Soppeng District is Location Quotient (LQ) Analysis, Shift Share (SS) Analysis and Klassen Typology analysis. The results of the Location Quotient (LQ) analysis show the agriculture, forestry and fisheries sectors; electricity and gas procurement sectors; construction; trade and repair of cars and motorbikes; providing accommodation and drinking meals; real estate; government administration, defense and social security; education services; and health services and social activities are the leading sectors in Soppeng Regency. The result of Shift Share analysis shows that the sector experiencing a shift is the processing industri sector; trade and repair of cars and motorbikes; providing accommodation and drinking meals; information and communication; financial services; health services and social activities; and other services with PB 0. While the Klassen Typology analysis shows that the advanced and fast-growing sektors are agriculture, forestry and fisheries; and real estate.


2020 ◽  
Vol 5 (1) ◽  
pp. 21
Author(s):  
Ahmad Rizani

This study aims to identify and determine the leading sectors in Malang City to illustrate leading economic activities that can be developed to boost economic potential in Malang City. The analysis tools used include Shift-Share, Location Quotient (LQ), and Growth Ratio Model (GRM) analysis. The results show that: (1) shift-share analysis showed that the economy of Malang City during the period 2010-2016 increased by Rp. 12,926,565.5 million. The increase in economic performance in Malang City can be seen from 16 (sixteen) sectors of economic activity that are positive; (2) Location Quotient (LQ) analysis showed the leading sectors in Malang City consisting of 7 (seven) sectors, i.e. water procurement, garbage, waste and recycling management, construction, retail and wholesale trade, car and motorcycle repair, financial and insurance services, education services, health services, and social activities and other services sector; (3) Growth Ratio Model (GRM) estimation showed that the dominant sectors of growth and large contributions consist of the retail and wholesale trade car and motorcycle repair, transportation and warehousing, accommodation and food provision, information and communication, financial and insurance services, real estate, education services and health services and social activities sectors; (4) weighting results based on Shift-Share, Location Quotient (LQ) analysis, and Growth Ratio Model (GRM) showed that five sectors based on the highest potential weighting results are the health services and social activities, education services, construction, retail and wholesale trade car and motorcycle repair, and financial and insurance services sector. Keywords: Economic Potential, Shift-Share, Location Quotient (LQ), Growth Ratio Model (GRM)JEL Classification: R58;R11;O41


Inovasi ◽  
2020 ◽  
Vol 17 (1) ◽  
pp. 1-10
Author(s):  
Irham Iskandar

The main objective of this research is to identify what education is in line with the advantages of regional potential, namely through specific typologies, approaches to the pattern of economic growth relations and the human development index and location quotient. This type of research method is development research, namely research aimed at developing research findings or previous theories, both for the purposes of pure science and applied sciences and so on. The data used in this study is secondary data in the form of data in the form of annual reports on Aceh economic statistics in 2012-2016 in the form of GRDP data, economic growth, per capita income, human development index obtained from the Central Statistics Agency. The results of the study show that the identification of education is appropriate to the potential in disadvantaged areas, namely Aceh Singkil District such as electricity and gas procurement, financial and information services, government administration, land and compulsory social security, as well as health services and social activities; South Aceh Regency such as construction, information and communication, as well as government administration, land and compulsory social security; North Aceh Regency such as agriculture, forestry and fisheries; mining and excavation; and processing industry; Southwest Aceh District such as construction; health services and social activities; and other services; Aceh Tamiang Regency such as fisheries, forestry and fisheries; mining and excavation; and other services; Nagan Raya Regency such as agriculture, forestry and fisheries; and mining and quarrying; and Aceh Jaya Regency such as construction, transportation and warehousing, as well as government administration, defense and compulsory social security.   Keywords: standard typology, economic growth, human development index, and location quotient


2018 ◽  
Vol 20 (4) ◽  
pp. 472
Author(s):  
Rifyan Ruman ◽  
Setia Hadi ◽  
Baba Barus

The purpose of this study was to determine the class-leading commodity and land capability and potential of land that can be used for agricultural development in Buru. Data analysis method used was overlying maps, Location Quotient (LQ) and Shift Share Analysis (SSA) to determine the main commodity. The result is elaborated as follow inequality in Buru can be seen from inadequate infrastructure especially the condition of road, education and health facilities. Based on analysis of LQ and SSA in the Buru Regency, Commodities priorities in this region are sweet potatoes, peanuts, green beans, peppers, onion, tomato, spinach, kale, squash, eggplant, beans, avocado, mango, jackfruit, durian, orange, papaya, banana, cashew, and clove. The potential cultivate land for each sub-districts as Namlea (22390.73 ha), District Waeapo (68615.62 ha), District of Waplau (22173.26 ha), District Batabual (7920.27 ha) and District Air Buaya (10985.77 ha) that can be utilized for the development of agriculture-based according to the vision of Buru and in accordance with the commodity that exist in each district.


Author(s):  
Nanang Nur Rozaq ◽  
Mochamad Sugiharto

The study on spatial dimension of buffalo development in Brebes is intended to (1) analyze the regional shifting patterns of buffalo development within a period of 5 years (2012-2016) and (2) to identify the relationship between the number of farmland areas and the population of buffalo in Brebes Regency. This research employs a secondary data analysis method by utilizing the available data analyzed using a spatial analysis. Location Quotient (LQ) analysis is conducted to analyze the regional shifting patterns of buffalo followed with a product moment correlation analysis to identify the relationship between the number of farmland areas and the population of buffalo livestock. The results show that the buffalo population is related to the number of ​​rice plant areas (P <0.05) as well as that of the peanut plant areas (P <0.01). For the last 5 years (2012-2016), there is no regional shifting pattern in the center for buffalo development in Brebes Regency. The centralization of buffalo develoment in Brebes Regency is located in Salem, Bumiayu, Sirampog, Tonjong, Larangan and Songgom sub-district


2021 ◽  
Vol 16 (3) ◽  
pp. 589-600
Author(s):  
Riza Fetra ◽  
Erfit Erfit ◽  
Zamzami Zamzami

The data used is secondary data in the 2015-2019 period. The data analysis method uses Location Quotient (LQ) analysis, Dynamic Location Question (DLQ), and SWOT analysis. The purpose of this study is to determine whether the commodity understudy is included in the base sector or non-base sector by using Location Quotient (LQ) analysis, Dynamic Location Question (DLQ), and its development strategy in Kerinci Regency using SWOT analysis. It was found that the commodities of shallots, chilies, potatoes, cabbage, Chinese cabbage, sweet potatoes, and tomatoes were included in the base commodities using the LQ method. In contrast, with the DLQ method, all the commodities studied would be the basis in the future.  


2021 ◽  
Vol 5 (2) ◽  
pp. 165
Author(s):  
Anita Swantari ◽  
Heny Ratnaningtyas ◽  
Filma Festivalia

Cibuntu Village is a sub-district area that is one of the villages that has the potential for the development of the agricultural, plantation, and livestock sectors. In addition to these sectors, the tourism sector with the concept of agrotourism is expected to be developed and will make a significant contribution to the economy in Cibuntu Village. The purpose of this study is to determine the location of tourist attractions in Cibuntu Village and determine the types of tourism that can be developed in that location. The data analysis method used is divided into two parts, namely policy analysis and basic sector analysis using LQ (Location Quotient) calculation analysis. With applicable policy restrictions, tourism activities in Cibuntu Village are agrotourism and ecotourism. From the results of the LQ calculation, there are superior commodities, namely sweet potatoes, these commodities are worthy of investment to be developed in the future. Several alternative locations for tourism objects and activities that can be developed are agro-tourism activities in agricultural areas located in Cibuntu village which are designated as ecotourism areas. Keywords: Cibuntu Village Kuningan, Agrotourism, Location Quotient    


Author(s):  
Priyastiwi Priyastiwi

This study aimed to examine the effect of demographic factors and organizational climate on the intention of internal whistleblowing. The sample was an accountant who had worked as an auditor. Data collection methods using questionnaires with financial statement fraud case scenarios. This research use ANOVA data analysis method to examine demographic factors include age, gender, and experience, as well as organizational climate on the intention of internal whistleblowing. The results showed only the experience of demographic factors that influence internal whistleblowing. Besides internal whistlelowing also influenced by organizational climate in the company.Keyword: Demographics, Organizational Climate, Whistleblowing


Author(s):  
Resdianto Permata Raharjo ◽  
Maranita Anjarsari

This study aims to describe 1) the form of cohesion contained in the news Watching Sakinah Movies, UIN Yogyakarta Give Praise Students and 2) describing the forms of coherence contained in the news Watching Sakinah Film, Students of UIN Yogyakarta Give Praise. The subjects used in this study were news of watching Sakinah film, UIN Yogyakarta students giving praise, and the objects used were sentences containing grammatical cohesion, a form of lexical cohesion. The approach used in this study is a qualitative descriptive approach. The data in this study are sentences in the news of Watching Sakinah Movies, This student is a method of literature study. While the method of data analysis in this study is descriptive method analysis method, the method used to analyze and describe cohesion markers and analyze markers of coherence. Test The results of the study show that in the news of watching Sakinah films, UIN Yogyakarta Beri Pujian students have varied markers of cohesion and coherence in the Tebuireng Online news discourse. Cohesion markers were found to reference (3), substitution (1), ellipsis (2), conjunction (3), collocation (1), and markers of coherence found cause-effect relationships (2), relationship coherence suggestions — goals (1), coherence temporal relations (1), and coherence of causal relationships (1).


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