Tujuan penelitian ini adalah untuk mengetahui komoditas pertanian sub-sektor tanaman pangan yang termasuk komoditas unggulan di Kabupaten Gresik dan untuk mengetahui Kecamatan mana yang mempunyai komoditas unggulan pertanian sub-sektor tanaman pangan yang mampu menggerakkan pertumbuhan perekonomian di Kabupaten Gresik. Metode penelitian ini menggunakan pendekatan kuantitatif dengan alat analisis Location Quotient, Shift Share dan Overlay yang digunakan untuk mengetahui komoditas unggulan pertanian sub-sektor tanaman pangan, dan Kecamatan yang mempunyai komoditas unggulan pertanian. Metode-metode ini mengklasifikasikan komoditas menjadi empat yaitu komoditas unggulan, komoditas berkembang, komoditas potensial, dan komoditas tertinggal, berdasarkan besarnya kontribusi dan laju pertumbuhannya dengan mengambil wilayah studi Kecamatan Se-Kabupaten Gresik dan wilayah referensi Kabupaten Gresik, maka dengan metode-metode tersebut dapat diketahui komoditas mana yang menjadi komoditas unggulan Kabupaten Gresik. Berdasarkan hasil yang diperoleh dari analisa beberapa metode tersebut. Didapat hasil yang sama tentang komoditas yang menjadi komoditas unggulan di Kecamatan Se-Kabupaten Gresik, komoditas unggulan padi sawah terdapat didelapan Kecamatan, komoditas unggulan padi ladang terdapat didua Kecamatan, komoditas unggulan jagung terdapat dienam Kecamatan, komoditas unggulan ubi kayu terdapat diempat Kecamatan, komoditas unggulan kacang tanah terdapat dilima Kecamatan, komoditas unggulan kacang kedelai terdapat diempat Kecamatan, komoditas kacang hijau terdapat didua Kecamatan. . Kata Kunci : Komoditas Unggulan, LQ (Location Quotient), SS (Shift Share), Overlay

This research aimed to study the agricultural commodities of food sub-sector which included superior commodities in Gresik Regency and to find out which sub-districts had the superior commodities of the fuel sub-sector which were able to drive economic growth in Gresik Regency. This research used a quantitative method by analyzing the location of Quotient, Shift Share and Overlay which used to find out the agricultural commodities of the sub-sector, and the Subdistrict that has superior agricultural commodities. These methods classify commodities into four namely superior commodities, developing commodities, potential commodities, and lagging commodities, based on the magnitude of their contribution and growth rate by taking the study area in the district of Gresik and the district of Gresik, so that these methods can it is known which commodities are the main commodities of Gresik Regency. Based on the results obtained from the analysis of several methods. The same results were obtained about commodities which werw the lwading commodities in district of Gresik, the main commodities of paddy rice were in eight subdistricts, the main commodities of field rice where in two subdistricts, the main commodities were in six subdistricts, cassava superior commodities were in the four subdistricts, superior commodities peanuts are in five subdistricts, superior soybeans commodities are in four subdistricts, and green bean commodities are in two subdistricts. Keywords: Superior Commodities, LQ (Location Quotient), SS (Shift Share), Overlay

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