scholarly journals PENDEKATAN LOCATION QUOTIENT DAN SHIFT SHARE ANALYSIS DALAM PENENTUAN KOMODITAS UNGGULAN TANAMAN PANGAN DI KABUPATEN BANTUL

2016 ◽  
Vol 25 (2) ◽  
pp. 221 ◽  
Author(s):  
Joko Mulyono ◽  
Khursatul Munibah
Keyword(s):  
Agricultural Land ◽  
Time Series Data ◽  
Series Data ◽  
Food Crops ◽  
Land Conversion ◽  
Competitive Advantages ◽  
Agricultural Commodities ◽  
Ecological Zone ◽  
Location Quotient ◽  
Comparative Advantages

Land conversion causes competition in land use, and thus it is necessary to select leading commodities based on agro ecological zoning (AEZ). This study aimed to determine the leading commodities of food crops in Bantul Regency agro ecological zone. This study was conducted on March 2015. The data used was time series data of food crops harvested between 2008-2012 and agricultural commodities zone maps year 2013 based on AEZ with scale 1:50.000 obtained from the Statistics of Indonesia, Agriculture and Forestry Office, and AIAT. Commodities with comparative advantages were analysed by Location Quotient (LQ) while commodities with competitive advantages were analysed by Shift Share Analysis (SSA). Leading food crops commodities were determined through an overlay process using the ArcGIS software covering analysis results of LQ, SSA and agricultural commodities zone maps based on AEZ with scale 1:50.000. The result showed that the wetland paddy is a leading commodity in the study area. Based on comparative and competitive advantages, and compatibility with agricultural commodities zone based on AEZ, wetland paddy is the most leading commodity compared to corn, soybeans and peanuts. It is because of the distribution of this commodity in 10 districts (Sanden, Kretek, Pundong, Bambanglipuro, Pandak, Bantul, Jetis, Banguntapan, Kasihan, and Sedayu) with total area of 11,667 ha or 39.4% of agricultural land in Bantul Regency

scholarly journals Kluster Tanaman Pangan Unggulan di Provinsi Jawa Tengah

2021 ◽  
Vol 21 (1) ◽  
pp. 55-68
Author(s):  
Choiroel Woestho ◽  
Milda Handayani ◽  
Adi Wibowo Noor Fikri
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Food Plants ◽  
Series Data ◽  
Food Crops ◽  
Food Crop ◽  
Land Area ◽  
Location Quotient ◽  
Central Java ◽  
Central Java Province

The food crop sector has an important role for regions in Indonesia. Food plants can be a determinant for an area in meeting the needs of the people in that area. In addition, the food crop sector, if developed, can become revenue for the region. This study aims to analyze the leading food plants in 35 districts / cities in Central Java Province. By using the location quotient (LQ) method and the Regional Specialization Index. The data used is time series data from 2014 to 2019 in 35 districts / cities in Central Java Province for food crops based on land area and production. The results obtained for the average LQ value of food crops based on land area, there are only 12 districts / cities which are the basis for superior food crops with Wonogiri Regency at the top. Meanwhile, based on the average LQ value based on production, only 11 districts / cities are the basis for superior food crops with Semarang Regency being the top. For the specialization index based on both land area and production, there is no Regency / City that specializes in Central Java Province.   Keywords: Foodcrop Sector, Location Quotient, Specialization Index, Central Java   Abstrak   Sektor tanaman pangan mempunyai peranan penting bagi daerah di Indonesia. Tanaman pangan dapat menjadi penentu bagi suatu daerah dalam memenuhi kebutuhan masyarakat yang ada di daerah tersebut. Selain itu, sektor tanaman pangan jika dikembangkan dapat menjadi pendapatan bagi daerah. Penelitian ini bertujuan untuk menganalisis tanaman pangan unggulan yang ada di 35 Kabupaten/Kota pada Provinsi Jawa Tengah. Dengan menggunakan metode location quotient (LQ) dan Indeks Spesialisasi Regional. Data yang digunakan adalah data time series selama tahun 2014 hingga tahun 2019 pada 35 Kabupaten/Kota di Provinsi Jawa Tengah untuk tanaman pangan berdasarkan luas lahan dan produksi. Hasil yang diperoleh untuk nilai rata – rata LQ tanaman pangan berdasarkan luas lahan, hanya terdapat 12 Kabupaten/Kota yang menjadi basis bagi tanaman pangan unggulan dengan Kabupaten Wonogiri berada di urutan teratas. Sementara berdasarkan nilai rata – rata LQ berdasarkan produksi, hanya 11 Kabupaten/Kota yang menjadi basis tanaman pangan unggulan dengan Kabupaten Semarang menjadi urutan teratas. Untuk indeks spesialisasi baik berdasarkan luas lahan dan produksi, tidak ada Kabupaten/Kota yang mempunyai spesialisasi terhadap Provinsi Jawa Tengah.   Kata kunci: Tanaman Pangan, Indeks Lokalisasi, Indeks Spesialisasi, Jawa Tengah

scholarly journals KOMODITAS UNGGULAN SUBSEKTOR TANAMAN PANGAN BERBASIS POTENSI WILAYAH KERUANGAN DI PROVINSI BALI

2019 ◽  
Vol 7 (1) ◽  
pp. 76
Author(s):  
Evendi - Akhmad ◽  
Made - Antara
Keyword(s):  
Agricultural Sector ◽  
Agricultural Land ◽  
Regional Growth ◽  
Food Crops ◽  
Food Crop ◽  
Location Quotient ◽  
Agricultural Business ◽  
Food Commodities ◽  
Seed Crops ◽  
The City

ABSTRACT Food crop commodities in Bali are quite potential, so making these commodities quite crucial in various discussions. When viewed from the results of the 2013 Agriculture Census in Bali there were 408,233 agricultural business households and 53 percent of them were food crop business households. Bali's GRDP according to business fields, food crops subsector contributed 14.57 percent of the 2016 GDP contribution to the agricultural sector. The development of tourism and population growth are thought to be the cause of the conversion of agricultural land to non-agriculture. Therefore, a scientific study is needed to map the potential of the food crop subsector in Bali. The objectives of this study are: (1) to identify what are the main competitive seed crops, (2) to analyze the growth of food crops according to districts / cities, (3) to analyze the potential of the main commodity areas of Bali's food crops. This research was conducted in Bali Province. The selection of research locations using the purposive sampling method is based on the consideration that food crops are the most sought-after commodities by Balinese farmers. The data used in this study is the data on commodity production of the Bali Province food crops sub-sector according to districts / cities in the 5-year time series (2011-2015). The analytical tool used is Location Quotient (LQ), Shift Share, Superimpose and analysis of potential spatial areas. The results of the study show that all regencies / municipalities have comparative superior food crops except the city of Denpasar. Increased regional growth of food crops occurred in three districts / cities, namely Jembrana, Gianyar and Denpasar City. All districts / cities have food crops that experience proportional rapid growth, high competitiveness commodities and commodities that are progressing in net growth. All regencies have superior crops of food commodities, both those which are superior (comparative or competitive superior) and highly superior (comparative and competitive) commodities. Meanwhile, Denpasar City only has superior food crops (competitively superior).

scholarly journals APLIKASI METODE LOCATION QUOTIENT ( LQ ) DALAM PENENTUAN KOMODITAS PALAWIJA UNGGULAN PADA PROVINSI SULAWESI BARAT

2019 ◽  
Author(s):  
Osmar Shalih
Keyword(s):  
Economic Development ◽  
Data Processing ◽  
Agricultural Development ◽  
Series Data ◽  
Food Crops ◽  
Location Quotient ◽  
Source Data ◽  
Processing Program ◽  
Data Source ◽  
Microsoft Office

West Sulawesi is youngest province in Indonesia until now.As always within new province’s economic development, it is need data source to support West Sulawesi economic development for sustainable development. Determine of “secondary food crops” superior commodities of West Sulawesi is one of the step to go in the direction of efficient agricultural development of West Sulawesi.In this Journal, “secondary food crops” are maize, greenpeal, peanut, soybean, java sweet potato (ubi jalar), and kaspe cassava (ubi kayu). There are more methods of superior commodities identification; one is Location Quotient (LQ) approach. LQ method still have excess and deficiency. In LQ’s excess are it simple application, easy and don’t need data processing program which difficult.and deficiency of LQ is must use accurate data.because very difficult to find accurate data. This journal aims to elaborate and examine the implementation of LQ approach uses wide of production of “secondary food crops” series data for three years period ( 2005-2007) from Indonesian Statistics Board (Badan Pusat Statistik) and West Sulawesi Statistics Board ( BPS Sulawesi Barat) as main source. Data processing conducted within spreadsheet from Excel on Microsoft Office 2007. The results conclude that LQ method still obtained as one of relevant method for superior commodities of “secondary food crops” identification. It is suggestion for using LQ with supporting accuracy long series data present.

scholarly journals ANALISIS POTENSI SEKTOR BASIS DAN NON BASIS KOTA SABANG TAHUN 2013-2019

2020 ◽  
Vol 6 (1) ◽  
pp. 89-104
Author(s):  
Ferry Setiawan
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Quadrant Analysis ◽  
Location Quotient ◽  
Strong Growth ◽  
Aceh Province ◽  
Dynamic Location ◽  
Index Value ◽  
Regional Product

The success of a region in improving its economy can be measured by the growth of  Gross Domestic Regional Product (GDRP) from various existing sectors. This Gross Domestic Regional Product (GDRP) growth occurs if the region has a leading sector or a basic sector whose growth rate is relatively fast and has strong competitiveness and a non-basic sector that has the opportunity to become a basic sector if the local government is able to condition the opportunities that exist into an optimal result. This study uses secondary data obtained from the Central Statistics Agency (BPS) of Aceh Province in the form of time series data for 7 years, namely the 2013-2019 period. This research was conducted to identify the basic and non-basic sectors in the economic structure of the City of Sabang for the period 2013 - 2019 using the LQ (location quotient) analysis method, the Dynamic Location Quotient (DLQ) method, Shift Share Analysis, and quadrant analysis. 10 basic sectors with the highest average index value SLQ ≥ 1 and 7 sectors which are non-basic sectors with index numbers <1. In the quadrant analysis from the results of the existing Shift-Share calculations, there are 3 sectors in Quadrant I with fast and strong growth,3 sectors in Quadrant II with slow and strong growth, and 11 sectors in Quadrant III with fast growth but have weak competitiveness

scholarly journals Land Use Land Cover Change and its Pathways in Sidin VDC, Panchthar District, Nepal

2018 ◽  
Vol 11 ◽  
pp. 77-94 ◽  
Author(s):  
Prem Sagar Chapagain ◽  
Mohan Kumar Rai ◽  
Basanta Paudel
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Agricultural Land ◽  
Time Series Data ◽  
Household Survey ◽  
Human Interaction ◽  
Series Data ◽  
Land Use Land Cover ◽  
Important Indicator

Land use/land cover situation is an important indicator of human interaction with environment. It reflects both environmental situation and the livelihood strategies of the people in space over time. This paper has attempted to study the land use/ land cover change of Sidin VDC, in the Koshi River basin in Nepal, based on maps and Remote sensing imageries (RS) data and household survey using structured questionnaires, focus group discussion and key informant interview. The study has focused on analysis the trend and pathways of land use change by dividing the study area into three elevation zones – upper, middle and lower. The time series data analysis from 1994-2004-2014 show major changes in forest and agricultural land. The dominant pathways of change is from forest to agriculture and forest to shrub during 1994-2004 and agriculture to forest during 2004-2014. The development of community forest, labor migration and labor shortage are found the major causes of land use change.The Geographical Journal of NepalVol. 11: 77-94, 2018

Analysis of Revenue Inequality and Development of Leading Economic Sectors of District and City in Banten Province, Indonesia

2021 ◽  
Vol 2 (1) ◽  
pp. 24-33
Author(s):  
Bima Mulia ◽  
Mohamad Arief Setiawan ◽  
Kalfin Kalfin
Keyword(s):  
Economic Development ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Time Data ◽  
Economic Sectors ◽  
Location Quotient ◽  
Interregional Inequality ◽  
Dynamic Location ◽  
Underdeveloped Region

The imbalance of inter-regional economic development is a common phenomenon that occurs in the process of economic development of a region. This interregional inequality was originally caused by differences in natural resource content and differences in demographic conditions in each region. As a result of these differences, the ability of an area to increase economic growth and encourage the development process also becomes different. Therefore, it is not surprising that in every region there is usually a relatively developed region and a relatively underdeveloped region. This study aims to analyze how big the level of income inequality that occurs between regencies/cities in Banten Province. Identifying the base sector in each district/city in Banten Province, and predicting the base sector in the future in each Regency/City of Banten Province. Data used in this study is secondary data in the form of time series data to see Developments and changes that occur over a period of time. Data analysis used in this research is Location Quotient (LQ), Dynamic Location Quotient (DLQ), Williamson and Thiel Index. The results of this study are inequality that occurred in Banten is measured by using Williamson Index included in the category of Medium Inequality. On the measurement of Thiel Entropy Index, inequality in Lebak Regency is the lowest and Kota Cilegon has the highest imbalance in Banten Province.

scholarly journals ANALYSIS OF SUPERIOR CROPS LOCATION IN EAST JAVA, INDONESIA

2021 ◽  
Vol 21 (1) ◽  
pp. 51-58
Author(s):  
Hanifatus Sahro ◽  
S Chen ◽  
S Sujarwo
Keyword(s):  
Economic Growth ◽  
National Economy ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Growth Patterns ◽  
Regional Economic Growth ◽  
Series Data ◽  
Green Beans ◽  
Location Quotient ◽  
Regional Economic

Regional development is an important aspect in improving the regional economy, and its relationship with the national economy. East Java Province is one of the regions with the most potential agricultural sector and is the highest national granary area in Indonesia. Maximizing the potential of the resources owned by East Java will accelerate the development process and increase the regional and national economy. For the economic growth,this study aims to examine the crops performance to estimate the pattern of regional economic growth in East Java. The time series data of East Java Central Bureau of Statistics from2008 to 2017 are adopted. The location quotient analysis and shift-share analysis with three indicators, namely regional economic growth, proportional shift growth, and differential shift, are used.The results showed that crops such as corn, green beans, peanuts, soybeans, rice, sweet potatoes, and cassava in 29 districts and 9 cities of East Java have crucial performance and economic growth patterns. As the results, to consider and identify priority policy plans to accelerate regional economic development and growth are suggested.

scholarly journals KAJIAN BASIS DAN PRIORITAS DALAM SEKTOR PERTANIAN BAGI PEMBANGUNAN WILAYAH PESISIR BENGKULU

2014 ◽  
Vol 13 (1) ◽  
pp. 44-50
Author(s):  
Melli Suryanty ◽  
. Sriyoto
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Development Planning ◽  
Series Data ◽  
Location Quotient ◽  
Agriculture Sector ◽  
Year 2000 ◽  
Agriculture Development ◽  
Share Value

The objectives of this research were to identify agriculture subsectors that can be the sector basis for the region development, and give information about priority scale of agriculture subsectors development in Bengkulu region development planning. This research used the secondary data gained from time series data from year 2000-2011. Analysis methods used in this research were sector contribution, location quotient, and shift share analysis. The results of the research showed that fishery subsector gave significant contribution for Bengkulu City PDRB. Fishery subsector became the basis and main priority of the agriculture development in year 2000-2011. This was shown from the biggest contribution value, location quotient value was greater than 1, and positive shift share value. The main priority of agriculture sector development is fishery, livestock, food plant, and estate subsector.    Keywords: Basic sector, agricultural sector, regional development.

scholarly journals ANALISIS SEKTOR UNGGULAN DAN PENGEMBANGAN WILAYAH DI KABUPATEN BOLAANG MONGONDOW TIMUR

2017 ◽  
Vol 13 (3A) ◽  
pp. 75
Author(s):  
Elein ., Mamahit ◽  
Paulus A. Pangemanan ◽  
Charles R. Ngangi
Keyword(s):  
Regional Development ◽  
Development Strategy ◽  
Swot Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Tool ◽  
Location Quotient ◽  
North Sulawesi ◽  
Sector Analysis ◽  
Analytical Tools

This study aims to (1) identify the leading sectors in the economic structure of East Bolaang Mongondow Regency as information and consideration in (2) formulating regional development strategies. This study uses time series data from Gross Regional Domestic Product (PDRB) of East Bolaang Mongondow Regency and North Sulawesi Province in 2010 - 2016. The analysis tool used in this research is Klassen Tipology, Location Quotient (LQ), and Shift Share analysis to determine the leading sectors and SWOT analysis. The result of per sector analysis based on these three analytical tools shows that which is the leading sector in East Bolaang Mongondow Regency with criteria of advanced and fast growing sector, basic and competitive sector, there are 2 sectors: (a) agriculture, forestry and fishery sector, (b) mining and quarrying sectors. To formulate regional development strategy used SWOT analysis tool. Based on the SWOT analysis, the strategy of regional development at East Bolaang Mongondow Regency with the superior sector is in quadrant III so that the appropriate strategy is turn around strategy. The Weakness Opportunity Strategy in Quadrant III, means minimizing weaknesses by taking advantage of opportunities.

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