Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika)
Romadhona, Salsabil Wahyu
Unknown Affiliation
Computer Science & IT Education

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

Found 1 Documents
Search

 1 
IMPLEMENTATION OF THE BACKPROPAGATION METHOD FOR RECOMMENDING ANNUAL AWARD RECIPIENTS AMONG OUTSTANDING STUDENTS Romadhona, Salsabil Wahyu; Sarwani, Mohammad Zoqi; Widodo, Anang Aris
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.7978

Abstract

This research aims to develop a recommendation system for annual awards for outstanding students using the Backpropagation method in an Artificial Neural Network (ANN). Student assessment is based on four main variables: academic grades, attitude scores, extracurricular activity scores, and attendance records. The data were obtained from an elementary school in Pasuruan City through a survey method, then processed using preprocessing and normalization techniques before being trained using the Backpropagation algorithm. The model was developed using a Sequential architecture with two hidden layers, and its performance was evaluated using a confusion matrix and a classifi-cation report. The testing results showed that the model was able to classify outstanding students with a highest accuracy rate of 97%, demonstrating strong performance in terms of precision, recall, and F1 score. These results indicate that the Backpropagation method is effec-tive in enhancing the objectivity and efficiency of the outstanding stu-dent selection process based on historical data.
Co-Authors Anang Aris Widodo Mohammad Zoqi Sarwani, Mohammad Zoqi