Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Journal of Development Research Journal of Education and Teacher Training Innovation (JETTI)
Hamid, Abdulhalim Hamid Salih
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Education Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Employing Multi-Layer Perceptron Models for Heart Failure Disease Prediction Hamid, Abdulhalim Hamid Salih; Arif, Yunifa Miftachul; Hariyadi, M. Amin
Journal of Development Research Vol. 9 No. 1 (2025): Volume 9, Number 1, May 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v9i1.430

Abstract

This study aims to develop a predictive model for heart failure using a multilayer perceptron (MLP) as part of the application of deep learning techniques in medical data analysis. Given the increasing prevalence of heart failure and its significant impact on patients' quality of life and healthcare costs, early detection is of paramount importance. The dataset, obtained from Kaggle, consists of 918 medical records containing 12 key health variables, including age, blood pressure, cholesterol level, and fasting blood sugar. The model underwent extensive training and testing, and its performance was evaluated using statistical measures such as precision, recall, accuracy, and AUC-ROC curve. The results showed that the proposed model achieved a prediction accuracy of 91.1%, with a sensitivity of 90.3% and a specificity of 92%, indicating its effectiveness in predicting heart failure compared to traditional models. Further analysis identified ST-segment depression, resting blood pressure, and cholesterol level as the most influential factors in determining the risk of heart failure. Based on these results, the MLP model can be considered an effective tool to assist physicians in the early diagnosis of heart failure. Optimization techniques such as particle swarm optimization (PSO) can be used to improve prediction accuracy. Furthermore, combining the model with advanced analytical methods may enhance its predictive performance. This study highlights the importance of using artificial neural networks in the medical field, emphasizing their role in improving early diagnosis systems, reducing heart failure complications, and improving the overall quality of healthcare services.
Scientific and Social Methods of Interpretation of the Qur’an Alkarim Hamid, Abdulhalim Hamid Salih; Imamuddin, M.
Journal of Education and Teacher Training Innovation Vol. 2 No. 2 (2024): Journal of Education and Teacher Training Innovation (JETTI)
Publisher : PT. Pusmedia Group Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61227/jetti.v2i2.113

Abstract

The diversity of methods of interpreting the Qur'an so far shows the intellectual dynamics of Muslims in facing the changing times. The conventional approach that has been developed by classical scholars has begun to be felt to be unable to fully answer increasingly complex and global contemporary problems. The emergence of various new schools of thought, both scientific and social, has enriched and complicated efforts to interpret sacred texts. This raises an urgent need to develop an interpretation method that is able to integrate scientific and social approaches in understanding the meaning and message of the Qur'an. This study aims to explore the possibility of developing a more comprehensive method of interpreting the Qur'an, by combining scientific and social approaches. This study uses a literature study approach to examine the interpretation of the Qur'an. The research method includes collecting detailed library data from primary sources, contemporary interpretation texts, academic journals, and related books. Data analysis is carried out through the partial thematic analysis method, by systematically reviewing the texts to identify scientific topics and concepts that combine modern knowledge with authentic interpretation of the Qur'an. The results of this study show that the general description of the study of the Qur'an and Hadith, and explain the study of the interpretation of the Qur'an and the importance of interpretation in understanding and interpreting the meaning of the Qur'an, understanding objective interpretation and scientific interpretation, and the relationship between scientific interpretation and objective interpretation. This article discusses the advantages and disadvantages of both and also encourages strengthening cooperation between experts in various disciplines to understand the interpretation of the verses of the Qur'an comprehensively and deeply, and also emphasizes the importance of continuous renewal and scientific review in developing our understanding of the Qur'an.
Co-Authors M.Imamuddin, M.Imamuddin Mokhamad Amin Hariyadi Yunifa Miftachul Arif