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ANALISIS SEKTOR EKONOMI UNGGULAN KABUPATEN CILACAP TAHUN 2015-2019

Mayli 'Izzatul Islamiati

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Abstract

One of the factors that can affect the economic growth of a region is the ability to develop potential economic sectors within the region. The optimization of the base sector can be done by determining which economic sector is the leading sector. The purpose of this study is to determine the basic and non-basic sectors in the economic sector of Cilacap Regency in 2015-2019. The type of data used in this study is secondary data sourced from BPS reports for Cilacap Regency and Central Java Province. The method used in this research is Location Quotient (LQ) analysis and Dynamic Location Quotient (DLQ) analysis. LQ is used to categorize basic and non-sectoral sectors, while DLQ is used to determine future role changes. The results of the calculation of LQ> 1, there are two sectors which are the basis, namely the manufacturing sector and the mining and quarrying sector and fifteen other sectors are included in the non-base sector. While the results of the calculation of DLQ> 1, there are two sectors that have changed to non-basis and fifteen sectors have changed their roles to become basic sectors.

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One of the factors that can affect the economic growth of a region is the ability to develop potential economic sectors within the region. The optimization of the base sector can be done by determining which economic sector is the leading sector. The purpose of this study is to determine the basic and non-basic sectors in the economic sector of Cilacap Regency in 2015-2019. The type of data used in this study is secondary data sourced from BPS reports for Cilacap Regency and Central Java Province. The method used in this research is Location Quotient (LQ) analysis and Dynamic Location Quotient (DLQ) analysis. LQ is used to categorize basic and non-sectoral sectors, while DLQ is used to determine future role changes. The results of the calculation of LQ> 1, there are two sectors which are the basis, namely the manufacturing sector and the mining and quarrying sector and fifteen other sectors are included in the non-base sector. While the results of the calculation of DLQ> 1, there are two sectors that have changed to non-basis and fifteen sectors have changed their roles to become basic sectors.

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Available abstract

One of the factors that can affect the economic growth of a region is the ability to develop potential economic sectors within the region. The optimization of the base sector can be done by determining which economic sector is the leading sector. The purpose of this study is to determine the basic and non-basic sectors in the economic sector of Cilacap Regency in 2015-2019. The type of data used in this study is secondary data sourced from BPS reports for Cilacap Regency and Central Java Province. The method used in this research is Location Quotient (LQ) analysis and Dynamic Location Quotient (DLQ) analysis. LQ is used to categorize basic and non-sectoral sectors, while DLQ is used to determine future role changes. The results of the calculation of LQ> 1, there are two sectors which are the basis, namely the manufacturing sector and the mining and quarrying sector and fifteen other sectors are included in the non-base sector. While the results of the calculation of DLQ> 1, there are two sectors that have changed to non-basis and fifteen sectors have changed their roles to become basic sectors.

Key concepts: Economic base analysis, Economic sector, Plucking, Business, Secondary sector of the economy, Operations management, Agricultural economics, Geography

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