PENERAPAN DATA MINING DENGAN METODE KALSIFIKASI MENGGUNAKAN DECISION TREE DAN REGRESI

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Published: Jan 26, 2015
DOI: https://doi.org/10.24853/jurtek.7.1.11-20
Keywords:
data mining decision tree regresi

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Popy Meilina
Universitas Muhammadiyah Jakarta

Abstract

Konversi Bahan Bakar Minyak (BBM) ke Bahan Bakar Gas (BBG) yang dilakukan pemerintah bermula atas melimpahnya gas di bumi Indonesia. kabupaten Cilacap melakukan survey terhadap masyarakat untuk menentukan masyarakat mana yang lebih diprioritaskan untuk mendapatkan bantuan pemberian kompor gas beserta tabungnya. Berdasarkan survey pada tahun 2010 di Kabupaten Cilacap Kecamatan Kroya terdapat 17 kelurahan dengan 28.131 data dengan 31 field atau kolom. Data diolah dengan beberapa tahapan yaitu : pengecekan data, integrasi data, target data, preprocessing, visualisasi, proses data mining, dan pengetahuan. Pada proses data mining dilakukan proses decision tree, regresi, dan k means untuk clustering yang ditampilkan dalam bentuk scatter plot. Berdasarkan decision tree maka diperoleh data kelurahan yang menjadi prioritas untuk diberi bantuan yaitu : Kelurahan Bajing Kulon, Kedawung, Pekuncen, dan Pesanggarahan. Atribut yang digunakan untuk proses regresi yaitu per kelurahan dengan variabel x yaitu pendidikan atau pekerjaan dan variabel y yaitu penghasilan.

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How to Cite
Meilina, P. (2015). PENERAPAN DATA MINING DENGAN METODE KALSIFIKASI MENGGUNAKAN DECISION TREE DAN REGRESI. Jurnal Teknologi, 7(1), 11–20. https://doi.org/10.24853/jurtek.7.1.11-20
Issue
Vol. 7 No. 1 (2015): Jurnal Teknologi
Section
Articles

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Author Biography

Popy Meilina, Universitas Muhammadiyah Jakarta

Jurusan Teknik Informatika

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