Pendekatan Location Quotient Dan Shift Share Analysis Dalam Penentuan Komoditas Unggulan Tanaman Pangan Di Kabupaten Bantul

Abstract

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

Komoditas Unggulan dan Potensial Sektor Pertanian Kabupaten Simalungun, Provinsi Sumatera Utara

“…Metode LQ biasanya dikombinasikan dengan analisis tipologi Klassen, analisis Shift-share, indeks spesialisasi wilayah, dan metode lain yang relevan. Kajian-kajian empiris dimaksud antara lain mengenai potensi ekonomi Sektor Pertanian dan Pariwisata di Provinsi Bali (Yuendini et al, 2019), arahan pengembangan tanaman pangan di Provinsi Papua (Keratorop et al, 2016), sektor ekonomi unggulan di Kabupaten Kerinci Provinsi Jambi (Kurniawan, 2016), sektor perekonomian basis di Kabupaten Bogor (Setiyawan, 2019), menentukan sektor unggulan di Kabupaten Cilacap (Rusdarti & Fafurida, 2016), dan komoditas unggulan tanaman pangan di Kabupaten Bantul (Mulyono & Munibah, 2016).…”

Pengembangan Komoditas Pertanian Unggulan di Wilayah Perbatasan Bengkayang Mendukung Pengembangan Lumbung Pangan

“…Makna nilai LQ > 1 dan nilai SSA positif adalah bahwa produksi komoditas pada wilayah atau kecamatan tersebut mampu memenuhi kebutuhaan di wilayahnya dan di luar wilayahnya, serta produksi komoditas tersebut selalu mengalami pertumbuhan. (Mulyono & Munibah, 2016a), menggunakan analisis LQ, SSA dan peta pewilayahan komoditas pertanian berdasarkan zona agroekologi untuk menentukan komoditas unggulan sub sektor tanaman pangan. Sedangkan (Sukmawani, Haeruman, Sulistyowati, & Perdana, 2014) menggunakan analisis LQ, analisis berdasarkan kriteria unggul dan analisis daya saing dalam melakukan penelitian model pengembangan komoditas pepaya sebagai komoditas unggulan lokal yang berdaya saing.…”

Vocational Education: A Missing Link for the Competitive Graduates?

“…Through this way, the development of vocational education expertise is more appropriate, so that it has a competitive advantage. There is almost no research that applies this analysis model to measure competitive advantage in education, except for the industrial sector in China (Li et al, 2015), food crop farming in Bantul Indonesia (Mulyono & Munibah, 2016), economy in Jambi Indonesia (Hardiani & Lubis, 2017).…”