Penerapan Algoritma Naive Bayes Dalam Memprediksi Penyakit Lambung

Authors

  • Jefi Jefi Universitas Bina Sarana Informatika
  • Hendri Hendri Universitas Nusa Mandiri
  • Nurul Afni Universitas Bina Sarana Informatika
  • Agus Salim Universitas Bina Sarana Informatika
  • Yana Iqbal Universitas Bina Sarana Informatika

DOI:

https://doi.org/10.24853/justit.12.2.%25p

Abstract

Lambung adalah sebuah organ pencernaan yang berfungsi sebagai tempat untuk menyimpan makanan, dan mencerna makanan menjadi ukuran yang lebih kecil yang kemudian akan diproses oleh tubuh agar menjadi energi. Penyakit pada lambung memiliki gejala yang berbeda dan ada pula yang memiliki gejala yang serupa, penyakit pada lambung adalah sebuah penyakit yang sering dialami oleh masyarakat. Penyakit ini biasanya disebabkan oleh pola makan yang kurang baik. Untuk mengetahui jenis penyakit lambung apa yang sedang di derita, pasien harus melakukan pemeriksaan diri ke rumah sakit atau ke klinik, namun karena keterbatasan waktu untuk melakukan pemeriksaan kerumah sakit atau ke klinik. Oleh karen itu diperlukan sebuah metode dan tools yang mampu memprediksi penyakit pada lambung dengan mempertimbangkan gejala yang diderita oleh pasien, sehingga akan mempermudah proses dalam memprediksi penyakit pada lambung. Algoritma Navie Bayes merupakan salah satu algoritma dari metode klasifikasi data mining yang dapat digunakan untuk memprediksi penyakit pada lambung, Naive Bayes memberikan tingkat akurasi kebenaran sebesar 75% dengan nilai area under the curve (AUC) sebesar 0,852. Dengan hal ini menunjukkan bahwa model tersebut melalui penerapan pada tools rapidminer dengan memperoleh hasil akurasi yang baik.Kata Kunci: Penyakit Lambung, Naive Bayes, Rapidminer.

References

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Published

2022-08-18

Issue

Volume 12 No 2 Tahun 2022

Section

Articles

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