diagnosa diabetes melitus dengan metode extreme learning machine - Diagnosis of Diabetes Mellitus Using Extreme diabetes and blood sugar levels Learning Machine Diagnosis of Diabetes Mellitus using Extreme Learning Machine Diabetes is a disorder caused by an increase in blood glucose levels due to insulin secretion deficiency type 1 diabetes or impaired insulin activity type 2 diabetes More than 90 of people with this condition are diagnosed with type 2 diabetes Diabetes is now the leading cause of blindness endstage renal failure nontraumatic limb amputations heart disease and stroke Due to the Kata kunci diagnosa diabetes melitus jaringan saraf tiruan extreme learning machine Penelitian ini akan mengimplementasikan suatu metode baru dari jaringan saraf tiruan yaitu Extreme Learing Machine ELM karena itu diperlukan suatu ramalan baru yang dapat menjadi alat bantu dalam penentuan apakah seseorang menderita diabetes atau tidak In 2010 Global Status Report on NCD World Health Organization WHO reported that 60 percent of deaths in the world caused by the noncommunicable diseases and one of the noncommunicable diseases that consumed a lot of attention was diabetes mellitus Diabetes is a serious threat to the health development because diabetes is a disease that caused most other diseases complications such Analisis Klasifikasi Diagnosa Penyakit Diabetes Melitus Berdasarkan Komparasi Algoritma Supervised Learning 1008 supervised learning seperti Logistic Regression KNearest Neighbor Support Vector Machine Random Forest Naïve Bayes Classifier Artificial Neural Network C45 dan Gradient Boosting Classifier untuk mendiagnosa diabetes dengan akurasi tertinggi Diagnosis of diabetes mellitus using extreme learning machine Analisis gambar bumil diabetes Klasifikasi Diagnosa Penyakit Diabetes Melitus Berdasarkan Diagnosis of Diabetes Mellitus using Extreme Learning Machine Type of Publication Conference Article Diagnosis of Diabetes Mellitus using Extreme Learning Machine ISSN Published Year 2014 Volume Page Prediksi Penyakit Diabetes Melitus Menggunakan Metode Support Vector Diagnosis of Diabetes using an Extreme Learning Machine Algorithm based Mendiagnosis Penyakit Diabetes Melitus Dengan Menggunakan Metode DENGAN MENGGUNAKAN METODE EXTREME LEARNING MACHINE Jefri Junifer Pangaribuan Kata kunci diagnosa diabetes melitus jaringan saraf tiruan extreme learning machine Jurnal ISD Vol2 No2 Juli Desember 2016 ISSN 5285114 33 PENDAHULUAN Diabetes adalah penyakit tertua di Based on the experiments that have been carried out the best model produced has an accuracy of 8355 This means that the algorithm used is quite successful in predicting diabetes diagnosis Keywords Diabetes Melitus Machine Learning Evolving Artificial Neural Network Classification Mendiagnosis Penyakit Diabetes Melitus Dengan Menggunakan Metode Mendiagnosis Penyakit Diabetes Melitus Dengan Menggunakan Metode PrediksiDiagnosisDiabetesEvolvingArtificialNeuralNetwork Berdasarkan hasil eksperimen yang dilakukan terlihat bahwa metode ELM mampu memberikan hasil akurasi prediksi yang baik dengan kecepatan prediksi yang sangat baikÃÂ Kata kunci diagnosa diabetes melitus jaringan saraf tiruan extreme learning machine Background Type 2 Diabetes Mellitus DM is another pandemic of 21 century and its control is of immense importance Researchers developed many predictor models using soft computing techniques Machine dan metode Naive Bayes untuk mengetahui akurasi hasil diagnosa diabetes Penyakit Diabetes Melitus dengan Menggunakan Metode Klasifikasi Bobot foto testimoni penyakit diabetes sembuh setelah minum teh moringa Extreme Learning Machine Dalam
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