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Volume 1, Issue 1, December 2019, Pages 1-6

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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.

Keywords

Data mining
Diabetes mellitus
Metode klasifikasi C.45

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Funding Information

Program Studi Sistem Komputer Stimik Bina Bangsa Kendari

Competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Ethical approval acknowledgements

No ethical approval required for this article. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5)

Supplementary files

Data sharing not applicable to this article as no datasets were generated or analysed during the current study, and/or contains supplementary material, which is available to authorized users.

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Bibliographic Information

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Cite this article as:

Aris, F., & Benyamin, 2019. Penerapan Data Mining untuk Identifikasi Penyakit Diabetes Melitus dengan Menggunakan Metode Klasifikasi. Router Research 1(1): 1-6. https://doi.org/10.29239/j.router.2019.313
  • Submitted
    16 September 2019
  • Accepted
    16 September 2019
  • Published
    16 September 2019
  • Version of record
    18 September 2019
  • Issue date
    31 December 2019

Keywords

Copyright

Copyright © 2019 Faiz Aris, Benyamin Benyamin

FaizAris, Dosen Program Studi Sistem Komputer Stimik Bina Bangsa Kendari, Indonesia.

faizaries8@gmail.com

Benyamin, Dosen Program Studi Sistem Komputer Stimik Bina Bangsa Kendari, Indonesia.

benyamin@student.handayani.ac.id
☆

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.

☆

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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