Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Brahmana : Jurnal Penerapan Kecerdasan Buatan
Donni Nasution
Universitas Prima Indonesia, Medan, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Perbandingan Algoritma Adaline Berdasarkan Pola Input Data Dan Aktivasi Output Untuk Prediksi Data Donni Nasution; Darmeli Nasution; S Solikhun
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 1 (2022): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i1.139

Abstract

Adaline is a single-layer supervised learning algorithm where the input layer is directly related to the output layer. Adaline learning uses the delta rule, which adjusts the weights to reduce the difference between network inputs to the desired output and output units. The main problem of this study is to find an alternative to the Adaline algorithm for predicting stroke with seven symptom attributes. This study seeks the best Adaline algorithm performance by comparing four forms of input and output activation patterns. The test results show the results of the same accuracy that is equal to 100%; the same epoch, namely one epoch, and the average weight change is different. The Adaline algorithm can predict stroke well with 100% accuracy.
Co-Authors Darmeli Nasution S Solikhun