Deteksi Dini Penyakit Diabetes di Indonesia Menggunakan Artificial Neural Network

• Yasrizal
• 14220014

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ABSTRAK

Penyakit diabetes tergolong sangat lazim dan kerap ditemui, berpotensi mengurangi angka harapan hidup. Kondisi ini berdampak pada banyak individu dari beragam kelompok umur setiap tahunnya. Tingginya angka keterjadian penyakit ini meningkatkan pentingnya diagnosa di tahap awal. Diabetes juga dapat meningkatkan timbulnya risiko lain seperti gagal ginjal, stroke, penyakit kardiovaskular dan kerusakan pada organ-organ penting lainya. Deteksi dini potensi penyakit diabetes dapat mengurangi risiko untuk menjadi parah dan kronis. Dalam penelitian ini, berbagai pendekatan berbasis pembelajaran mesin (machine learning) disajikan untuk memprediksi keterjadian penyakit diabetes. Penelitian ini memanfaatkan data yang diperoleh dari RSUP Persahabatan. Tujuannya adalah untuk menghasilkan metode deteksi dini penyakit diabetes yang selaras dengan pola hidup dan ciri khas penduduk Indonesia, terutama masyarakat Jakarta. Berdasarkan hasil pengujian pada sampel pasien dengan metode statistik, menunjukan bahwa sistolik, usia, diastolik dan high density lipoprotein (HDL) sebagai faktor risiko paling signifikan yang berhubungan dengan diabetes. hasil eksperimen menunjukkan skor akurasi tertinggi sebesar 0,86 (86%) dicapai metode klasifikasi Artificial Neural Network.

Kata Kunci: deteksi dini, diabetes, ANN, machine learning

KATA KUNCI

machine learning,Deteksi Tipe Jaringan

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