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

Author(s):  
Osmar Shalih

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.

2021 ◽  
Author(s):  
B. Berkinov

The article analyzes the trends in the macro and micro economic development of agriculture in the country and its individual regions. The factors of growth and efficiency of production of food crops and raw materials in farms of a separate region and district in conditions of limited land-water and labor resources have been revealed. Proposals have been developed to improve the structure of production in farms, to develop strategic sectors of agriculture aimed at increasing the export of food products. Recommendations are given on the development of information systems of digital services for servicing farms in districts and regions.


2021 ◽  
Vol 21 (1) ◽  
pp. 55-68
Author(s):  
Choiroel Woestho ◽  
Milda Handayani ◽  
Adi Wibowo Noor Fikri

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


2021 ◽  
Vol 2 (1) ◽  
pp. 24-33
Author(s):  
Bima Mulia ◽  
Mohamad Arief Setiawan ◽  
Kalfin Kalfin

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.


2016 ◽  
Vol 25 (2) ◽  
pp. 221 ◽  
Author(s):  
Joko Mulyono ◽  
Khursatul Munibah

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


2020 ◽  
Vol 2 (1) ◽  
pp. 54-69
Author(s):  
Sunoto Sunoto ◽  
Bertha Iin Esti Indraswanti ◽  
Edy Rahmantyo Tarsilohadi

The purpose of this research was to analyze economic growth and shifting of economic structure of the origin district in Bengkulu Province. Base on BPS secondary time series data (2001-2017), descriftive analysis was used to analyze economic growth and shifting economic structure, specialty after the region otonomous era (OTDA).  The DLQ and SSA method was used to determine the potential and leading sectors to increase economic performance. The result of this research was conclude that expansion of the the region in Bengkulu Provinsi has positif impact on economic development for the origin district. The economis structure was shifting from premier sector to secondary and tertier sector. The potential and leading sector after OTDA become more than before (from 4 or 5 sector to 7 untul 9 sector).  Keywords :  Dynamic Location Quotient 1, Shift Share Analysis 2, Economic Growth 3, Economic Structure 4, Potential and Leading Sector 5


2020 ◽  
Vol 6 (1) ◽  
pp. 53-58
Author(s):  
Prima Jiwa Osly ◽  
Fulki Araswati ◽  
Rhonny Einsten Ririhena ◽  
Ardini Putri

Economic growth is an indicator of a process of economic development conducted both at the national and regional level. to increase economic growth that implemented through the effectiveness and efficiency of economic development, implementation of economic development needs to directed to the sectors that can give large multiplier effect on different sectors and the economy. Indonesia's economic development is closely related to agricultural development since Indonesia itself is an agrarian country that has most of its people as farmers. This research aims to find potential in the province of West Papua with selections of excellent commodities suitable to be developed and analyze sub-sector agriculture to the district economy Manokwari period 2013-2017 contributes. The method of analysis used is "Location Quotient" and Shift Share Analysis technique. The results showed that most of Manokwari district in West Papua Province has a base sector that is agriculture sector, services sector and building sector.


2018 ◽  
Vol 11 (3) ◽  
pp. 22
Author(s):  
Siti Mutmaidah

This study aims to determine the regional leading sector of Kepahiang Regency as the information and considerations in planning economic development. Secondary data such as time series of the Gross Regional Domestic Product (GRDP) of Kepahiang and Bengkulu in the period 2011-2014 are applied. Klassen Typology and Location Quotient (LQ) are tools of analysis. The results of the analysis based on two analysis tools indicate that the leading sector with the criterias developed, base, and competitive is agricultural sector. The results showed that the agricultural sector can be used as a leading sector in Kepahiang Regency with criteria of the advanced sector and grow rapidly and is the base sector. Seberang Musi Sub-district has the most potential for cultivation of food crops and plantations with 13 commodities that become the base sector. For the specialization of food crop base sector is Kaba wetan Subdistrict with 5 commodities with base criteria and for plantation crops Merigi and Seberang Musi subdistricts with 9 commodities crops.


2017 ◽  
Author(s):  
Vitradesie Noekent

The main objective of this study is planning for development the agricultural sector, especially food plants in order to improve the local economy. The steps taken is to examine the performance of the agricultural sector in the district, identify potential food plants to be developed in each sub district, construct a hierarchy of centers of social services and economic development, planning the development of agriculture food plants in the district, then describe it in a planning map. The research was conducted in the district Wonosobo. Analysis of the research carried out by using Shift Share analysis, Location Quotient (LQ), and skalogram analysis. The results showed that the highest productivity in agriculture in the district is Wonosobo vegetable plants. Types of plants that can be developed are food plants that have competitive and comparative advantage. Keywords: agricultural development, food plants, performance of the agricultural sector, local economy


2021 ◽  
Vol 6 (1) ◽  
pp. 154
Author(s):  
Silvia Rahayu

Regional development discusses very strategically in the completion of the implementation of national development. The economic development of each region through economic growth, which is at the same time an indicator, provides an overview of where regional economic development in a given period has resulted in an increase in income for the community which increases per capita income. Agribusiness still has a bigger role in Kerinci Regency, because most of the population of Kerinci Regency supports their lives from the agribusiness sector. The strategic role of agribusiness in the economy of Kerinci Regency includes: food providers for the population of Indonesia, foreign exchange earners through exports, providers of industrial raw materials, increased employment and business opportunities, increased regional income, poverty alleviation and drivers of other economic sectors. In fact, a large number of agribusinesses have considerable production value in Kerinci Regency. This study aimed was to: (1) Analyze the types of superior agricultural commodities, and (2). Review the growth structure of agricultural commodities in Kerinci Regency. The design of this study used descriptive research methods that were descriptions of goals. The aim was that the author wanted to analyze the types of superior agribusiness commodities with the Location Quotient (Location Question) method and examine the structure of the growth of commodity agribusiness in Kerinci Regency. Based on the results of the study, it was found that: the leading agribusiness was the superior agricultural commodity of Kerinci Regency in the period of 2012-2016 based on the calculation of Location Quotient (LQ) Analysis are food crops, horticulture plants and seasonal plantations. Based on Klassen Analysis The typology of the structure of the growth of agricultural commodities is divided into four parts. Advanced and fast developing commodities, in Kerinci Regency are annual and other food crops and horticulture plants. Advanced but depressed commodities consist of annual horticultural crops sub-sector commodities and seasonal plantations. Rapidly developing commodities consist of commodity livestock, forestry and logging sub-sectors. Relatively lagging commodities consist of agricultural services sub-sector and hunting


Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo

<em>The agricultural sector</em><em> is a strategic sector in Manokwari regency. The agricultural sector provides a major contribution in the regional economy, an economic base of rural people, dominate the life of most residents in this region and provider of food and raw materials for other sectors. The purpose of this study was to determine how big the contribution of different sub-sectors that exist in the agricultural sector, which analyzes sectors influential in changing the economic structure of agriculture in the area and know the potential commodities that can be developed in an effort to enhance the role of the agricultural sector. The research method used through literature study and analysis of secondary data sourced from the relevant authorities. To find out how big the factors that influence changes in economic structures of domination of the agricultural sector into non-agricultural sector estimates used Ordinary Least Square (OLS). For the determination of the potential commodities that can be seeded used method approach Location Quotient (LQ). The results showed the greatest contribution of the different sub-sectors within the agricultural sector contained in the food crops sub-sector. Based on the rate of growth per year, plantation crops sub-sector occupied the highest positions. The sectors that provide real impact on the agricultural sector's contribution to the regional gross domestic product �of the building sector and services sector. Potential commodities that can be developed in different areas in Manokwari regency include food crops and pulses, vegetables and fruits and livestock including cows, goats, pigs and chicken.</em>


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