Optimalisasi Alokasi Lahan Pertanian Sawah Di Kabupaten Mojokerto

Kabupaten Mojokerto merupakan salah satu Kabupaten di kawasan andalan Gerbangkertosusila dikembangkan untuk mendukung sektor unggulan pertanian, perikanan, industri dan pariwisata. Untuk saat ini tiga sektor penyumbang PDRB tertinggi adalah sektor industri, perdagangan serta pertanian. Akan tetapi pembangunan yang ada justru mengurangi keberadaan lahan pertanian. Hal ini dapat dilihat dari menurunnya luas lahan pertanian yang ada. Padahal Kabupaten Mojokerto termasuk sentral produksi padi Jawa Timur yang harus dijaga produktivitasnya.Untuk itu diperlukan penentuan alokasi lahan pertanian sawah yang optimal di Kabupaten Mojokerto. Penelitian ini dilakukan melalui tiga tahapan. Pertama, mengidentifikasi kesesuaian lahan pertanian dengan menggunakan teknik analisis weighted overlay dari beberapa kriteria. Selanjutnya hasil overlay diintersect dengan land use eksisting. Kedua perumusan model optimalisasi untuk alokasi lahan pertanian dengan menggunakan linear programming. Ketiga penentuan alokasi lahan pertanian yang optimal dengan menggunakan input sasaran I dan II. Berdasarkan analisis kesesuaian lahan, lahan pertanian yang sangat sesuai dan cukup sesuai seluas 59.079,74 Ha. Selanjutnya hasil analisis kesesuaian lahan diintersect dengan lahan pertanian eksisting didapatkan luas 38.950,35 Ha. Hasil linear programming, diperoleh empat alternatif penyelesaian. Dari keempat alternatif yang terbentuk, alternatif pertama merupakan alternatif yang paling optimal dengan kombinasi lahan pertanian seluas 32.705,39 Ha, perdagangan jasa 4.418,49 Ha dan Industri 14.337,92 Ha. Karena hasil intersect surplus dari lahan pertanian hasil optimalisasi, maka alokasi ditentukan berdasarkan faktor yang ada di UU RI No. 41 Th 2009 tentang LP2B. Sehingga pembagian luas alokasi lahan pertanian dapat ditetapkan di masing-masing kecamatan dengan luasan total 32.705,39 Ha ===================================================================================================== Mojokerto is one of regencies in the leading area of Gerbangkertosusila which is developed to support the leading sectors of agriculture, fisheries, industry and tourism. For the moment, three sectors contributing the highest GRDP are the sectors of industry, trade and agriculture. However, the existing development have been actually reduced the presence of agricultural land. It can be seen from the decline of the existing agricultural land area. Whereas, Mojokerto regency belongs to the central rice production of East Java, which should be maintained for its productivity. Therefore, it is necessary to determine the allocation of agricultural land field in Mojokerto regency. This research was conducted in three steps. First, identifying the suitability of agricultural land using weighted overlay analysis techniques based on several criteria. Next, the overlay results will be intersected with the existing land use. Second, the formulation optimization models for the allocation of agricultural land using linear programming. Third, the determination of the optimal allocation of agricultural land using the input of step I and step II. Based on the analysis of land suitability, the agricultural land area that is highly suitable and moderately suitable is 59.079.74 Ha. Furthermore, the results of land suitability analysis being intersected with the existing agricultural land area is 38.950.35 Ha. Based on the results of linear programming, there are four alternative settlements. From these four alternatives formed, the first alternative is the most optimal alternative combinations of agricultural land with an area of 32.705.39 Ha, trade and services with an area of 4.418,49 Ha, and industry with an area of 14.337,92 Ha. Since the results of the surplus intersection of agricultural land is the optimization results, the allocation is determined by the factors that exist in UU No. 41 th 2009 on LP2B. Thus, the distribution of the allocation of agricultural land viii area can be determined in each district with the total area of 32.705.39 Ha