Prediksi Kemungkinan Diabetes pada Tahap Awal Menggunakan Algoritma Klasifikasi Random Forest

Prediksi Kemungkinan Diabetes pada Tahap Awal Menggunakan Algoritma Klasifikasi Random Forest

• By Apriliah, Widya; Kurniawan, Ilham; Baydhowi, Muhamad; Haryati, Tri;
• Jurnal Nasional Terakreditasi
• 325
• 163-171

Diabetes adalah salah satu penyakit kronis yang mengancam jiwa dengan pertumbuhan tercepat yang telah mempengaruhi 422 juta orang di seluruh dunia menurut laporan Organisasi Kesehatan Dunia (WHO), pada tahun 2018. Diabetes dianggap sebagai salah satu penyakit paling mematikan dan kronis yang menyebabkan peningkatan gula darah. Banyak komplikasi terjadi jika diabetes tetap tidak diobati dan tidak teridentifikasi. Namun, peningkatan pendekatan machine learning memecahkan masalah kritis ini. Tujuan dari penelitian ini adalah merancang model yang dapat memprakirakan kemungkinan terjadinya diabetes pada pasien dengan ketelitian yang maksimal. Klasifikasi adalah teknik data mining yang menetapkan kategori pada kumpulan data untuk membantu dalam memprediksi dan analisis yang lebih akurat. Oleh karena itu tiga algoritma klasifikasi machine
learning yaitu Suport Vector Machine, Naive Bayes dan Random Forest digunakan dalam percobaan ini untuk mendeteksi diabetes secara dini. Eksperimen dilakukan menggunakan dataset Diabetes Hospital in Sylhet, Bangladesh yang bersumber dari UCI repository. Performa ketiga algoritma dievaluasi pada berbagai ukuran seperti Precision, Accuracy, F-Measure, dan Recall. Akurasi diukur melalui instance yang diklasifikasikan dengan benar dan salah. Hasil yang diperoleh menunjukkan
Random Forest mengungguli dengan nilai akurasi tertinggi 97,88% dibandingkan algoritma lain. Hasil ini diverifikasi menggunakan kurva Receiver Operating Characteristic (ROC) secara tepat dan sistematis.

• Katakunci diabetes, naive bayes, random forest, akurasi, support vector machine, machine learning
• URL http://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/1129/355
• Penerbit Sistemasi: Jurnal Sistem Informasi, Tembilahan Riau

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