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All Journal International Journal Software Engineering and Computer Science (IJSECS) IKRAM: Jurnal Ilmu Komputer Al Muslim
Abu Khalid Rivai
Universitas Pamulang
Computer Science & IT Decision Sciences, Operations Research & Management

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Sistem Keamanan Ruang Server Rumah Sakit Swasta Berbasis Mikrokontroler Arduino dan Android Angelina Hadriani Hadriyanto; Agung Budi Susanto; Abu Khalid Rivai
IKRAM: Jurnal Ilmu Komputer Al Muslim Vol. 2 No. 1 (2023): IKRAM: Jurnal Ilmu Komputer Al Muslim
Publisher : LPPM STMIK AL MUSLIM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The security of the server room is very important, considering that a lot of important data is stored in it, the server room door locking system which still uses conventional keys is very vulnerable to break-ins into the server room because conventional keys are very easy to duplicate, besides that the use of conventional keys is very risky of human error because It's human nature to forget to put keys all over the place. Besides that, maintenance work that is usually done by IT staff to check the condition of the server room is also hampered by having to go back and forth to security to borrow and return keys before and after carrying out routine maintenance activities. By utilizing the development of Android and Arduino smartphone technology in this study, the authors aim to make SK applications and SMS alarms to replace the current server room security system which is still manual using conventional keys. With this new system, the unlocking process can be through an application embedded in an Android smartphone. by pressing the buttons provided in the application. The research method used is the Prototype method. The way this security system works is that the user or users must open the application on Android and then connect it to the Bluetooth module. After the application and the Bluetooth module are connected, the user only has to choose whether to open or lock the door according to the options in the image in the application, and for the workings of the security system. sms alarm if the PIR sensor detects the movement of people in the server room then the PIR sensor will forward the command to GSM module to send sms to smartphone user.
Optimization of Employee Burnout Prediction Using Explainable Boosting Machine, Long Short-Term Memory, and Extreme Gradient Boosting Methods in Human Resource Management at PT. XYZ Syahrul Kahfi; Sudarno Wiharjo; Abu Khalid Rivai
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5772

Abstract

- Employee burnout threatens organizational sustainability through reduced productivity, compromised mental health, and elevated turnover rates. Early detection remains critical for maintaining workforce stability. We address burnout prediction optimization at PT. XYZ through three advanced machine learning models: Explainable Boosting Machine (EBM), Long Short-Term Memory (LSTM), and Extreme Gradient Boosting (XGBoost). Our methodology incorporates structured data preprocessing, model construction, training protocols, and rigorous performance evaluation. We assessed models using MAE, RMSE, and R² for regression tasks, alongside Accuracy, Precision, Recall, F1-score, Confusion Matrix, Feature Importance, and ROC curves for classification. Cross-validation ensured robust evaluation, with burnout labels derived from established psychosocial factor assessments. Results reveal LSTM's superior performance at 0.99 accuracy, followed by EBM (0.96) and XGBoost (0.95). LSTM demonstrates exceptional capability in identifying subtle burnout patterns, while EBM delivers high interpretability regarding causal factors. These findings offer a data-driven framework for human resource management, enabling precise, proactive intervention through evidence-based decision-making.
Co-Authors Agung Budi Susanto Angelina Hadriani Hadriyanto Sudarno Wiharjo Syahrul Kahfi