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Penerapan Data Mining untuk Identifikasi Penyakit Diabetes Melitus dengan Menggunakan Metode Klasifikasi☆
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Abstract
Penyakit Diabetes Melitus (DM) dengan komplikasi merupakan penyebab tertinggi kematian ketiga di indonesia yang setiap tahun penderitanya semakin bertambah, penyakit ini dulunya di juluki penyakit orang kaya namun seiring bertambahnya waktu penyakit ini sudah diidap oleh masyarakat menengah dan miskin. Hal ini dikarenakan bukan lagi karena faktor genetic tapi pola hidup yang tidak teratur menjadi penyumbang pesatnya penyakit ini, berdasarkan data WHO 80% penderita DM dapat dicegah, Klasifikasi pada penelitian ini bertujuan untuk memudahkan perawat dan penderita mengenali tipe penyakit DM agar penanganan penyakit diabetes semakin mudah dilakukan. Untuk menghasilkan informasi baru maka digunakan perhitungan algoritma C.45 dan pengujian algoritma yang menggunakan aplikasi rapid miner akan semakin memperkuat keputusan. Pada pengujian penelitian ini menggunakan beberapa atribut klasifikasi yakni atribut Jenis Kelamin, berat badan,Usia, Perokok, kadar gula darah, dan Tipe penyakit diabetes. Semua atribut tersebut akan dijadikan acuan dalam penelusuran hasil sehingga perawat dan penderita dapat menjadikan acuan dalam perawatan diri pasien secara optimal.
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Program Studi Sistem Komputer Stimik Bina Bangsa Kendari
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Bibliographic Information
Cite this article as:
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Submitted
16 September 2019 -
Accepted
16 September 2019 -
Published
16 September 2019 -
Version of record
18 September 2019 -
Issue date
31 December 2019
Copyright
FaizAris, Dosen Program Studi Sistem Komputer Stimik Bina Bangsa Kendari, Indonesia.
Benyamin, Dosen Program Studi Sistem Komputer Stimik Bina Bangsa Kendari, Indonesia.
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Pemrosesan naskah dibawah tanggungjawab Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM), STIMIK Bina Bangsa Kendari. Edited by Darsilan, SE, M.Si (C). Full-text and the content of it is under responsibility of authors of the article.
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Pemrosesan naskah dibawah tanggungjawab Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM), STIMIK Bina Bangsa Kendari. Edited by Darsilan, SE, M.Si (C). Full-text and the content of it is under responsibility of authors of the article.
Copyright © 2019 Faiz Aris, Benyamin Benyamin. Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM), STIMIK Bina Bangsa Kendari. Production and hosting by Sangia (SRM™). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License.
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