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All Journal Jurnal Komputer dan Teknologi (JUKOMTEK) JITCoS : Journal of Information Technology and Computer System
T. Tanzil Azhari Risky
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Control & Systems Engineering Library & Information Science

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Modeling and Simulation of Indoor Temperature Dynamics Using Random Forest and Multi-Layer Perceptron Methods T. Tanzil Azhari Risky; Nayla Faiza; Mhd Fikry Hasrul Hasibuan; Mhd Syahru Ramadhan Nasution
Journal of Information Technology and Computer System Vol. 1 No. 2 (2025): December
Publisher : CV. Multimedia Teknologi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65230/jitcos.v1i2.39

Abstract

Modeling and simulating indoor temperature changes is crucial for improving the energy efficiency of HVAC systems in smart buildings. This study created and compared two models, Random Forest and Multi-Layer Perceptron (MLP), to study indoor temperature changes and make 24-hour temperature predictions. The dataset used contained 97,606 readings from IoT sensors on Kaggle, which were then processed into 38,334 observations with a 5-minute interval. The feature engineering process included creating lag features, moving statistics, and temperature differences in order to capture the time patterns and thermal properties of the building. The Random Forest model showed better results with MAE of 0.146°C, RMSE of 0.285°C, and R² of 0.986, far better than the MLP which had MAE of 0.470°C, RMSE of 0.731°C, and R² of 0.907. A 24-hour simulation proved the Random Forest's ability to make step-by-step predictions, achieving an MAE of 0.057°C and an R² of 0.993 without any cumulative errors. Random Forest was able to capture dynamic temperature changes (29.5-35°C), while MLP provided more stable results (32.5-35°C). The results of the study show that Random Forest is more efficient in modeling temperature changes, with the potential for HVAC energy savings of 15-25% through more precise settings based on predictions.
PENERAPAN METODE RAD UNTUK PENGEMBANGAN SISTEM PENGELOLAAN DATA KEPEGAWAIAN T. Tanzil Azhari Risky; Armansyah
Jurnal Komputer dan Teknologi Vol 5 No 1 (2026): JUKOMTEK JANUARI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i1.548

Abstract

Employee data management at the Medan Religious Training Center includes personal data, employment documents, educational history, work history, performance, and family data, requiring an integrated system for fast and accurate recording, updating, and reporting. This study developed a web-based Personnel Management Information System using the Rapid Application Development (RAD) method through needs analysis, prototyping, user evaluation, and implementation. Research data was obtained through observation, interviews, SOP document studies, and user questionnaires. The results showed that the system was able to integrate all personnel data, provide verification features, and generate PDF and Excel reports. Black Box testing of 10 main functions showed a 100% success rate with an average score of 5.0 (category “Very Good”). The system is considered feasible and effective in improving the efficiency and accuracy of personnel data management at the Medan Religious Training Center.
Co-Authors Armansyah Armansyah Mhd Fikry Hasrul Hasibuan Mhd Syahru Ramadhan Nasution Nayla Faiza