Location Quotient Analysis (LQ) in Determining the Excellent Commodity

Maulana, Yogi Sugiarto; Munawar, Andri Helmi; Hadiani, Dian; Ratningsih,; Wibisono, Taufik

doi:10.2991/ahsr.k.200723.015

Cited by 5 publications

(9 citation statements)

References 4 publications

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“…Location Quotient Analysis (LQ) is obtained by comparing the role of the sector/industry in a district/city to the part of the sector/industry in the province [24,25] or showing the results for the location of a factor in an area different from the high level of the whole region [26]. Determination of the type of livestock that is the basis/prominent based on livestock population by comparing livestock populations in Merauke Regency and Papua province [27], using the following equation [28]:…”

Section: Location Quotient For Analysis Of Leading Livestock Typesmentioning

confidence: 99%

Analysis of Regional Potential in Merauke Regency Based on Superior Livestock Population Using a Hybrid Algorithm

Sumaryanti,

Nurcholis,

Muchlis

2024

MMEP

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Merauke Regency is the largest area in Papua Province and includes potential in the livestock sector. Regional potential analysis based on leading livestock population aims to provide regional information based on livestock sector potential, which can be used as information in policy making in government programs. A hybrid algorithm combining LQ and complete linkage can map potential livestock areas based on leading populations. The results of the LQ analysis show that there are six leading types of livestock: cows, buffaloes, horses, kampong chickens, laying chickens, and ducks. The leading livestock types can be used as a source of information regarding regional potential in the livestock business and classified into four clusters. The clustering of regional potential using a complete linkage hierarchical algorithm with a livestock population dataset by conducting four trials and yielding information that Semangga and Tanah Miring sub-districts have potential in the livestock sector. The proposed method used a hybrid approach to analyze the potential of livestock areas in Merauke and determine the leading types of livestock in the area to classify areas in each cluster and map the potential of livestock areas using GIS techniques.

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Section: Location Quotient For Analysis Of Leading Livestock Typesmentioning

confidence: 99%

Analysis of Regional Potential in Merauke Regency Based on Superior Livestock Population Using a Hybrid Algorithm

Sumaryanti,

Nurcholis,

Muchlis

2024

MMEP

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“…Analisis ini dilakukan untuk mengetahui jenis sektor basis dan non basis. Perhitungan ini diperoleh nilai klasifikasi untuk menentukan sektor yang menjadi unggulan [29], [14]. Deskripsi nilai LG terdiri atas: a. Jika nilai LQ besar dari 1 maka sektor tersebut dapat dikatakan sebagai sektor potensial (basis).…”

Section: Metode Penelitianunclassified

Ketimpangan dan Prospek Perekonomian di Pulau Sumatera

Mardhian

Yulianita

Mukhlis

2023

INFEB

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Sumatra Island is the third largest island in Indonesia which has extraordinary natural resource potential. Sumatra Island has 10 provinces which are the islands with the most provinces in Indonesia. Each province has different resources and geographical conditions so that inequality occurs with an uneven economy. This study aims to identify leading sectors and prospective sectors in each province in Sumatra. The analysis was carried out on economic inequality between provinces in Sumatra. This study uses the Location Quotient (LQ), Dynamic Location Quotient (DLQ) and Williamson Index (WI) approaches. The results showed that 10 provinces in the Sumatra region had 1 province experiencing high category inequality, 4 provinces experiencing medium category inequality, and 5 provinces experiencing low category inequality. In the LQ analysis it is known that the leading sector for the province in the Sumatra region is the agricultural sector; Forestry and Fisheries; Water Procurement; Waste disposal; Waste Management; Waste and Remediation; and Mining and Quarrying Sector. In the DLQ analysis it is known that each economic sector has prospects for development in the future. The sectors to be developed are Electricity and Gas Procurement; Wholesale and Retail Trade; and Car and Motorcycle Workshop. So that this research can be used as material for consideration and reference for local governments in making policies and synergizing in development in Sumatra

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“…Location Quotient (LQ) analysis is a method used to determine regional potential by comparing the role of a sector in a local area to a higher level [20]. The selection of superior food crop commodities can be called a basis if the LQ value is > 1 by analyzing food crop production data in Merauke Regency and Papua Province.…”

Section: A Location Quotient Analysismentioning

confidence: 99%

Classification of Agriculture Area based on Superior Commodities in Geographic Information System

Sumaryanti¹,

Widjastuti²,

Tempola³

et al. 2022

IJACSA

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Research carries a classification model that combines LQ analysis and hierarchical classification using a single linkage. The classification results are a basis for mapping the potential of agriculture areas based on superior food commodities in Merauke Regency, Indonesia. LQ analysis is used to select food commodities. In contrast, the application of single linkage uses the production of three features, rice, corn, and peanuts, which have an LQ value>1, to group sub-districts based on agricultural potential. Intelligent mapping is represented by mapping the subdistricts agricultural areas according to the cluster. The classification results show that the first cluster has sixteen subdistrict members, the second consists of three sub-districts, and the third cluster consists of one sub-district. Each cluster member has similarities based on the distance measurement with the smallest value using the Euclidean distance. The proposed classification model is a creative idea to map agricultural areas, which can present information on regional potential based on superior food crop commodities.

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Location Quotient Analysis (LQ) in Determining the Excellent Commodity

Cited by 5 publications

References 4 publications

Analysis of Regional Potential in Merauke Regency Based on Superior Livestock Population Using a Hybrid Algorithm

Analysis of Regional Potential in Merauke Regency Based on Superior Livestock Population Using a Hybrid Algorithm

Ketimpangan dan Prospek Perekonomian di Pulau Sumatera

Classification of Agriculture Area based on Superior Commodities in Geographic Information System

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