Pola Usaha Pertanian Menurut Wilayah Di Kabupaten Kapuas Hulu Menggunakan Frequent Pattern Analysis - Agricultural Activities Pattern According To the Regional in Kapuas Hulu District Using Frequent Pattern Analysis

Mardiana, Andini (2016) Pola Usaha Pertanian Menurut Wilayah Di Kabupaten Kapuas Hulu Menggunakan Frequent Pattern Analysis - Agricultural Activities Pattern According To the Regional in Kapuas Hulu District Using Frequent Pattern Analysis. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Berdasarkan distribusi data PDB dari tahun 2011 – 2014, sektor pertanian adalah sektor kedua terbesar yang berkontribusi terhadap perekonomian Indonesia. Sebagai Negara yang memiliki sumber daya alam yang melimpah, pengembangan sektor pertanian sebagai mesin utama penggerak perekonomian Indonesia perlu mendapatkan perhatian lebih dari pemerintah. Beberapa indikator kegagalan program pemerintah dalam mengembangkan sektor pertanian diantaranya adalah meningkatnya impor beras dan daging sapi dari tahun ke tahun. Untuk mengembangkan sektor pertanian, yang terdiri dari enam subsektor (tanaman pangan, hortikultura, perkebunan, peternakan, perikanan, dan kehutanan), pemerintah daerah perlu mengetahui dengan pasti subsektor pertanian apa saja yang dikembangkan oleh masyarakat di wilayah tersebut. Pada penelitian ini digunakan frequent pattern analysis untuk mengolah data Sensus Pertanian di Kabupaten Kapuas Hulu. Dari dua belas jenis usaha pertanian yang ada, dengan menggunakan algoritma FP-growth dan penghitungan korelasi antar item menggunakan cosine didapatkan bahwa kegiatan Tanaman Padi dan Perkebunan sering dilakukan secara bersama dan mempunyai korelasi yang tinggi antar itemnya di Kapuas Hulu dengan nilai support 51 persen, confidence 92 persen, korelasi antar item 0,73. ======================================================================================================================== Based on the GDP in 2011-2014, agricultural sector is the second largest sector that contributing to the economy of Indonesia. As a country which has abundant natural resources, the development of the agricultural sector as a major engine for economic growth in Indonesia needs to get more attention from the government. Some indicators of the failure of government programs to develop the agricultural sector include an increase in imports of rice and beef from year to year. To develop agricultural potential which is composed of six sub-sectors (food crops, horticulture, plantation, farming, fishing, and forestry), the government needs to know what the agriculture sector developed by the community in the region. We propose frequent pattern analysis to determine data Agricultural at Kapuas Hulu. Out of twelve types of agriculture, there are two kinds which are often done simultaneously and have a high correlation amongst their items, the two categories as mentioned above are Food Crops and Plantation, with a value of 51 percent support, 92 percent confidence and inter-item correlation showed 0.73.

Item Type: Thesis (Masters)
Additional Information: RTE 006.312 Mar p
Uncontrolled Keywords: Association Rules, Cosine, Data Mining, Frequent Pattern Analysis, FP-Growth, Association Rules, Cosine, Data Mining, Frequent Pattern Analysis, FP-Growth
Subjects: Q Science > QA Mathematics > QA76.9.D343 Data mining
Divisions: Faculty of Industrial Technology > Electrical Engineering
Depositing User: ansi aflacha
Date Deposited: 17 Dec 2019 04:08
Last Modified: 17 Dec 2019 04:08
URI: http://repository.its.ac.id/id/eprint/72393

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