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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Information Systems and Informatics
Hasbiallah, Muhammad Jidan
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Materials Science & Nanotechnology Physics

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Evaluation of Information Systems on the SIMDAPRO using the Unfield Theory of Acceptance and Use of Technology (UTAUT) Method Hasbiallah, Muhammad Jidan; Ibrahim, Ali; Indah, Dwi Rosa; Seprina, Iin; Firnando, Ricy
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.763

Abstract

The Management Information System for Housing Profile Data and Settlement Areas (SIMDAPRO) is a web-based system managed by Department Housing settlement Areas South Sumatra Province (DISPERKIM).. This system is integrated and unified, thus accelerating and improving the process of proposing assistance from the South Sumatra Provincial Government. Additionally, it facilitates related parties in verifying proposals. To analyse the factors influencing to understand how people accept and use the information technology, This study employs the UTAUT model, comprising four primary constructs: the first one is performance expectancy, and the next is the second effort expectancy, and the next one is the third social influence, and the next one is the fourth facilitating conditions. It aims to examine how these constructs influence the behavioral intention of (SIMDAPRO) application users in South Sumatra Province. The research approach is quantitative accompanied by a survey method. The research sample consists of 34 respondents who were chosen through using purposive sampling. Data collection techniques include validation, questionnaires, and observation. with instrument tests conducted for validity and reliability. The findings reveal that all four constructs the first one is performance expectancy, and the next is the second effort expectancy, and the next one is the third social influence, and the next one is the fourth facilitating conditions. significantly and positively impact the behavioral intention of SIMDAPRO application users in South Sumatra Province.
Development of an Efficient 1D-CNN Model for Myocardial Infarction Classification Using 12-Lead ECG Signals Mirza, Ahmad Haidar; Halim, R.M. Nasrul; Hasbiallah, Muhammad Jidan
Jurnal Penelitian Pendidikan IPA Vol 11 No 3 (2025): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i3.10238

Abstract

Myocardial Infarction (MI) is a leading cause of global mortality, necessitating efficient diagnostic methods. This study develops a simplified one-dimensional Convolutional Neural Network (1D-CNN) model for classifying MI using 12-lead ECG signals from the PTB-XL dataset. The research focuses on reducing computational complexity by limiting convolutional layers while maintaining high accuracy. The proposed model processes ECG signals of varying lengths (600–1000 samples), identifying 700 samples as optimal, achieving an average accuracy of 96.18%, sensitivity of 82.84%, specificity of 97.63%, precision of 84.13%, and an F1-score of 82.68%. Leads V5 and V6 demonstrate superior performance in detecting MI, while other leads, such as I and AVL, require further optimization. By combining precise signal segmentation and an efficient CNN architecture, this model minimizes computational load without compromising performance, making it a strong candidate for real-time clinical applications. The findings highlight the importance of signal length optimization and simplified architecture in enhancing early MI detection.
Co-Authors Ahmad Haidar Mirza Ali Ibrahim Dwi Rosa Indah Halim, R.M. Nasrul Ricy Firnando Seprina, Iin