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All Journal RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Computer Science Research
Solikhun
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT

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Algoritma Backpropagation Metode Levenberg Marquardt Dalam Memprediksi Penyakit Stroke Solikhun; Nanda Amalya
Bulletin of Computer Science Research Vol. 3 No. 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i2.229

Abstract

In Southeast Asia, stroke is the third leading cause of disability and the disease with the second highest risk of death. A stroke occurs when a blood vessel in the brain is blocked or bursts, preventing some cells or brain tissue from receiving the oxygen they need from the blood supply. This study focuses on predicting stroke using the Levenberg Marquardt algorithm. Stroke prediction data is taken from the Kaggle website which consists of 5110 records. The attributes used to predict stroke consist of 10 attributes, namely gender, age, patient hypertension, heart disease, marital status, type of work, type of residence, average glucose level, body weight, and smoking status. The results of this study are the prediction of stroke by training and testing MSE = 0.0550 at Epoch = 10000 with 10-10-1 architecture.
Metode Conjugate Gradient Beale Powell Restarts Untuk Memprediksi Angka Kecelakaan Berdasarkan Korban Yang Meninggal Di Sumatera Utara Solikhun; Hamdani
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 3 No. 4 (2023): RESOLUSI Maret 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v3i4.692

Abstract

The purpose of this study is to predict the number of traffic accident victims who died in North Sumatra using the Backpropogation Conjugate Gradient Beale Powell Restarts method, as well as calculating using a method based on the level of error and predicting the number of disaster victims and then routes in North Sumatra for the following year. This research was attempted in North Sumatra where the information used in this study was obtained from BPS (Central Bureau of Statistics) of North Sumatra. This information is in the form of information regarding the number of disasters and routes in North Sumatra in 2010–2022 using quantitative analysis using the Conjugate Gradient Beale Powell Restarts method. The results of the analysis of surveillance information on the number of victims of the disaster then using the Conjugate Gradient Beale Powell Restarts method obtained that the best form is the 11-4-1 architectural form with MSE 0.068199165 and an accuracy of 82.14%. Based on the level of confusion, it was found that the Conjugate Gradient Beale Powell Restarts procedure was better than the other architectures, including 11- 5- 1, 11- 6- 1, 11- 7- 1, 11- 3- 1. the number of accident victims for the next 1 year (Year 2023).
Co-Authors Hamdani Nanda Amalya