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.
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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. Querying (Computer science) |
| 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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