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Regional development faces dynamic challenges amid rapid economic growth driven by natural resource extraction. This study aims to identify leading economic sectors, analyze structural economic transformation, and evaluate the role of these sectors in regional development. The research employs a quantitative method with a descriptive approach. Secondary data consist of Gross Regional Domestic Product (GRDP) at constant prices over the past five years. The analytical techniques applied include Location Quotient analysis to identify base sectors, Shift-Share analysis to assess structural changes as well as comparative and competitive advantages, and Klassen Typology to classify sectoral growth patterns. The results reveal a structural shift from primary sectors, such as agriculture and fisheries, toward secondary sectors, including mining and manufacturing. Despite challenges related to development equity, these leading sectors serve as key drivers of regional economic growth. To maximize the contribution of leading sectors to broader regional development, this study recommends that government policies prioritize the strengthening of intersectoral linkages.

This study analyzes the level of economic development disparity among regions in East Java Province during the period 2009–2023 using the Klassen Typology approach. The study aims to map the classification of regions based on economic growth rates and per capita GRDP to identify spatial disparities among the 38 districts/cities in the province. The analysis results indicate significant inequality, with regions such as Surabaya, Sidoarjo, and Gresik consistently categorized as advanced and rapidly growing areas (Quadrant I), while regions such as Sampang, Pamekasan, and Bondowoso fall into the underdeveloped category (Quadrant IV). This phenomenon shows that the economic spillover effect from growth centers to surrounding regions remains suboptimal and suggests the need for spatially-based policy interventions. This study provides important implications for formulating more inclusive regional development policies and recommends further quantitative analysis to identify the determinants of inequality in greater depth.

This study aims to analyze the structure and shifts in the economy of the livestock subsector in South Lampung Regency to identify base and prospective commodities, concentrated and distinctive commodities, fast-growing and highly competitive commodities, and those with the highest economic shifts, collectively referred to as leading commodities. The data used are secondary data from the Central Bureau of Statistics and the Department of Livestock and Animal Health of South Lampung Regency. The commodities analyzed include 12 types of livestock distributed across 17 sub-districts, with a total of 204 observation units. The analytical methods used include Location Quotient (LQ) and Dynamic Location Quotient (DLQ) to identify base and prospective commodities; Localization Index (LI) and Specialization Index (SI) to assess commodity concentration and distinctiveness; and Shift Share Analysis (SSA) to measure growth, competitiveness, and net shifts. Quadrant classification at each stage was performed using the Klassen Typology. The results indicate that 61 observation units of commodity-subdistricts are classified as base and prospective commodities, and 10 of these also meet the criteria for concentration, distinctiveness, rapid growth, and high competitiveness. The commodity with the highest net shift value is broiler chickens in Tanjung Sari Sub-district, making it a leading commodity in South Lampung’s livestock subsector.

Rebana Metropolitan Area is designed as an economic growth center in the northeastern part of West Java by emphasizing integrated and sustainable investment. Cirebon Regency acts as a buffer zone as well as an Industrial Designation Area (KPI) which has great potential in supporting regional economic growth. This study aims to identify the leading sectors of Cirebon Regency that can be optimized in regional economic development. The method used is quantitative descriptive analysis with the Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology approaches to identify base sectors and prospective sectors. The results of the analysis show that Cirebon Regency has nine basic sectors and eleven prospective sectors that have the potential for further development. Some of the main sectors, such as manufacturing industry, trade, and agriculture, still face challenges of competitiveness and integration with other regions in the Rebana Region. Therefore, a development strategy is needed that focuses on strengthening developing sectors to become leading sectors and encouraging underdeveloped sectors to transform to become more competitive. In conclusion, optimizing the leading sectors in Cirebon Regency can support more sustainable economic growth in the Rebana Metropolitan Area through targeted economic planning.

In regional scale of Bali Province infected symptom disparity marked income​ with Still concentrated development of the South Bali region compared to other parts of Bali. The goal study This For identify disparity income districts / cities in Bali Province 2018-2023 and analyze influence growth economy, power work, level education, allocation funds, and capital expenditures on disparity income district / city Bali Province is good in a way simultaneous and also partial. Research This use method quantitative and using secondary data obtained​ from the Central Bureau of Statistics. Data analysis techniques using Williamson index and Klassen typology as analysis disparity and continued with multiple linear regression For analyze influence growth economy, power work, level education, allocation funds, and capital expenditures on disparity income. Research results show growth economy, power work, level education, allocation funds, and capital expenditures simultaneous influential and significant to disparity income. Furthermore, growth economy, level education, allocation funds, and capital expenditures partial influential negative and significant to disparity income. Meanwhile, energy Work in a way partial influential positive and significant to disparity income. Research suggestions among other things to do equalization development for poor and depressed areas decrease, increase transportation common connecting​ all areas, development infrastructure and creation field work, availability help education and also scholarship to college tall and also postgraduate, government center still provide allocation funds especially to poor and depressed areas , and maximize potential area so that investors can invest.

Regional economic development is significant in improving the community's standard of living. The success of this development depends on formulating and implementing policies that prioritize sectors with substantial competitive advantages. This research aims to analyze the base and non-base sectors that comprise the economy and the typology of leading sectors to be developed further in Kebumen Regency. The method used in this research is quantitative descriptive to describe the characteristics of Kebumen Regency's economic sectors systematically. The data used is secondary data obtained from the Central Bureau of Statistics (BPS) in the form of Gross Regional Domestic Product (GRDP) data for Kebumen Regency and Central Java Province in 2023. Three analytical tools are used to analyze the leading sectors: Location Quotient (LQ), Dynamic Location Quotient, and Sectoral Klassen Typology. The research results show that five leading sectors in Kebumen Regency are classified as base and prospective sectors, namely (1) Agriculture, Forestry, and Fisheries, (2) Wholesale and Retail Trade, (3) Transportation and Warehousing, (4) Government Administration, Defense, and Mandatory Social Security, and (5) Health Services and Social Activities.

Empat Lawang Regency, once classified as a disadvantaged region, has made significant progress in improving the welfare of its population. This is reflected in the declining poverty rate and increasing Human Development Index (HDI). However, the region's economic growth, as measured by GRDP and GRDP per capita, lags behind other regions in Sumatera Selatan. This research seeks to pinpoint the key economic sectors driving Empat Lawang Regency's development by employing a combined analysis of LQ, Shift Share, and Tipology Klassen. The analysis results indicate that no sector can be unequivocally classified as a leading sector in Empat Lawang Regency. Nonetheless, several sectors such as agriculture, forestry, fisheries, wholesale and retail trade, also the other sectors exhibit potential for further growth. These findings underscore the importance of targeted policies and investments to stimulate economic growth and enhance the livelihoods of the local population.

The aim of this research is to analyze commodities in the food crop subsector and horticultural crop subsector which have the potential to be developed in order to support the economy in East Kalimantan Province. Analyzing food crop subsector commodities and horticultural crop subsectors that have competitiveness to be developed in order to support the economy in East Kalimantan Province. Analyzing the shift and role of commodities in the food crop subsector and horticultural crop subsector in the economy in East Kalimantan Province. Analyzing economic development planning strategies that can be carried out in order to develop potential and competitive commodities in the food crop subsector and horticultural crop subsector to support the economy in East Kalimantan Province.In this research, an analysis was carried out to determine potential economic sectors using the Klassen typology analysis tool, then an analysis was carried out to explain competitive sectors and shifts in economic structure using the Shift Share analysis tool, then a SWOT analysis was carried out.The results of this research are food crop subsector commodities and horticultural crop subsectors that have the potential to be developed in order to support the economy in East Kalimantan Province are lowland rice, shallots and large chilies. Commodities in the food crop subsector and horticultural crop subsector that have competitiveness to be developed in order to support the economy in East Kalimantan Province are lowland rice, corn, bananas, shallots and large chilies. The economic development planning strategy that can be carried out in order to develop potential and competitive sectors in the food crop sub-sector and horticultural crop sub-sector in order to support the economy in East Kalimantan Province is to implement short-term, medium-term and long-term plans.

This study aims to analyze the center of economic growth at the district / city level in NTT Province. The method used is statistical description with a qualitative approach. The focus of this research is to observe and find out the mainstay economic sector of each Regency / City in East Nusa Tenggara Province which can also determine the economic position of each Regency / City, using data collection techniques obtained from various sources in the form of books, journals, websites as well as the results of publications of institutions or government agencies such as the Statistical Agency (BPS) by taking data related to the problem studied, Analyzed using LQ analysis methods and klassen typology analysis. The results of the study using LQ (Location Quention) Analysis analysis show that each base sector in each Regency/ City in East Nusa Tenggara Province has 15 economic sector bases, and Based on the results of klassen typology analysis in 20 Regencies and 1 City in East Nusa Tenggara Province in 2019-2023 it was found that there are 18 districts/cities in East Nusa Tenggara Province in quadrant I (Fast forward and fast growing regions), 2 districts/cities in quadrant II (Developed But Depressed Regions), and 1 district/city in quadrant III (Fast Developing Regions).

The formulation of the problem in this research is how does the mapping of local tax potential in Sikka Regency based on leading sources, potential sources, developing sources, and underdeveloped sources? This research aimed to determine the mapping of local tax potential in Sikka Regency based on leading, potential, developing, and underdeveloped sources. Research methods used in data collection were interviews and documentation. The data analysis technique was quantitative descriptive analysis using Klassen Typology analysis. The results of the research concluded that of the ten sources of local tax revenue in Sikka Regency included in quadrant I (leading sources) there were no sources of local tax revenue included in the leading sources because the ten sources of local tax revenue lack of potential revenue and the ability to manage high potential. Quadrant II (developing sources) were entertainment tax and billboard tax, where the government has high revenue potential but had the ability to manage low potential. Quadrant III ( potential sources) were road lighting tax, rual-urban land and building tax, and acquisition duty on land building where the government had low potential but had a high capacity to manage. Those included in quadrant IV (underdeveloped sources) were hotel tax, restaurant tax, parking tax, groundwater tax, and non-meltallic mineral and rock tax. That five sources were lack potential revenue and the ability to manage high potential.  

The progress of science and technology of a nation is certainly inseparable from the success of the learning process in higher education institutions and institutions in that country. The stages of change are expected to be able to bring the nation towards the progress of a higher civilization and permeate as a whole as the identity of the nation. The level of mastery of science and technology is clear evidence of the success of development. Improving mastery of science and technology is not only carried out in formal education, but can also be carried out through non-formal education. Information technology has developed very rapidly and covers various fields. The field of education is one of the fields that is influenced by information technology, both in the formal learning process at school and non-formal in the form of training outside of school