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All Journal International Journal of Electrical and Computer Engineering Sinergi PEDAGOGIA Indonesian Journal of Artificial Intelligence and Data Mining Indonesian Journal of Electrical Engineering and Computer Science Gunung Djati Conference Series
Fahrizal, Diki
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Journal : Gunung Djati Conference Series

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Data Quality in an IoT Sensor System for Water Quality: Demonstrated on Time-Dependent Water Temperature Fluctuations Jaja, Jaja; Surya, Irgi; Fahrizal, Diki
Gunung Djati Conference Series Vol. 61 No. 1 (2025): International Conference of the 17th OISAA’s International Symposium Türkiye
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/gdcs.v61i1.3272

Abstract

The increasing demand for reliable and efficient Internet of Things (IoT) applications underscores the importance of ensuring high-quality sensor data for accurate monitoring and decision-making. This study focuses on data quality in an IoT sensor system for water quality monitoring, specifically demonstrated on time-dependent water temperature fluctuations. The system integrates fuzzy logic–based analysis and IoT connectivity using the Adafruit MQTT platform to enable real-time data acquisition, monitoring, and anomaly detection through smartphones, tablets, or computers. To ensure systematic development, the research employs the ADDIE methodology (Analysis, Design, Development, Implementation, Evaluation), enabling iterative refinement of both hardware and software components. Experimental results show that the system effectively captures temperature variations over time while identifying anomalies that may indicate sensor drift, environmental irregularities, or potential system faults. By addressing both measurement reliability and anomaly detection, this research contributes to improving data quality in IoT-based water monitoring systems, providing a scalable solution for sustainable water resource management and industrial applications/
Modelling An Occupancy-Based Hvac System Controller for Building Energy Efficiency Kustija, Jaja; Muhammad, Raihan Zhifhanur; Fahrizal, Diki; Surya, Irgi
Gunung Djati Conference Series Vol. 61 No. 1 (2025): International Conference of the 17th OISAA’s International Symposium Türkiye
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/gdcs.v61i1.3273

Abstract

Heating, Ventilation, and Air Conditioning (HVAC) systems are major energy consumers in commercial buildings, often accounting for nearly half of total energy usage. A primary source of inefficiency is conventional operation that ignores occupancy patterns, leading to unnecessary conditioning of unoccupied spaces. This paper presents a simulation study of an occupancy-based HVAC control system using a simplified first-order thermal model of a building space. Three control strategies are compared: a baseline system without active control, a reactive On-Off controller, and a Proportional-Integral-Derivative (PID) controller tuned using the Ziegler-Nichols method. Both the On-Off and PID controllers are integrated with an occupancy model to enable adaptive operation. Simulation results show that the occupancy-based PID controller achieves the best performance in balancing energy efficiency and thermal comfort compared to the other strategies. In addition, this work highlights a planned extension toward intelligent control methods, such as Deep Reinforcement Learning (DQN), to provide more adaptive and robust HVAC operation in dynamic environments.
Co-Authors Akbar, Muhammad Aqil Haibatul Andi Adriansyah Babang Robandi Dadang Lukman Hakim Deny Setiawan Hidayahtulloh, Rizky Heryanto Jaja Kustija, Jaja JAJA, JAJA Muhamad Nasir, Muhamad Muhammad, Raihan Zhifhanur Muttaqin, Muhammad Husni Sumadisastro, Witzir Surya, Irgi Tasma Sucita