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Journal : journal of intelligent decision support system idss

Implementation of smoke detector system in household kitchen based on HTTP protocol with DHT22 and MQ135 sensor integrated with WhatsApp chatbot Aulia Desy Nur Utomo, Aulia Desy Nur Utomo; Feri Yasin; Muhammad Agung Nugroho
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 2 (2025): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i2.299

Abstract

This research develops an Internet of Things (IoT)-based smoke detection system using MQ135 and DHT22 sensors integrated with WhatsApp chatbot via HTTP protocol. The system is designed to provide real-time notifications related to air quality, including gas concentration, temperature, and humidity. The test results show accurate and stable sensor performance in detecting environmental parameters. Evaluation is done through Quality of Service (QoS) analysis based on delay, jitter, packet loss, and throughput parameters. The test shows a fairly high network stability with 0% packet loss and an average throughput of 2045.53 Kbps, which falls into the Excellent and Good categories. However, the average delay of 2173.65 ms and jitter of 254.11 ms were classified as Poor, indicating the need for improvement in the responsiveness aspect. This research is expected to contribute to the integration of air quality monitoring systems with practical and easily accessible instant messaging services. The system offers an innovative solution for real-time smoke detection and early warning. Limitations of this study include limited data size and room for improvement in the interpretability and scalability of the system for wider IoT implementation.
Flood early warning monitoring system and water depth limit in the Curug Dhuwur river tourist area, Bumisari Village Fajar Setiawan; Aulia Desy Nur Utomo; Anggi Zafia
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 2 (2026): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v9i2.350

Abstract

Waterfall tourist attractions are generally located in mountainous areas or at the foothills of mountains, far from residential settlements. Due to their geographical location, tourism managers face difficulties in monitoring environmental conditions and tourist activities. At Curug Dhuwur Waterfall, unpredictable weather changes can cause sudden fluctuations in water quality and water levels, posing safety risks to tourists due to unexpected changes in water flow. Previous studies have mainly focused on monitoring water levels and water quality without integrating tourist activity monitoring into a single system. Therefore, this study aims to design and implement an Internet of Things (IoT)-based early warning and tourist swimming activity monitoring system capable of monitoring water levels and tourist activities in real time to improve visitor safety and support disaster mitigation efforts. The system was developed using the prototyping method and consists of a NodeMCU ESP8266, an ultrasonic sensor, a turbidity sensor, and a laser receiver integrated with a website and Telegram platform. System functionality was evaluated using black-box testing, while user satisfaction was assessed using the System Usability Scale (SUS). The results indicate that the proposed IoT-based system can assist tourism managers in monitoring water conditions and visitor activities more effectively, with an ultrasonic sensor measurement accuracy of 98.33%. The SUS evaluation produced a score within Grade Scale D and the High Acceptability Range, indicating that the system is acceptable for use by tourism managers. In addition, the system successfully delivered monitoring information and warning notifications through both the website and Telegram platform according to the detected conditions. The implementation of the IoT-based monitoring system enables tourism managers to respond more quickly to potential flood hazards and unsafe swimming activities, thereby improving visitor safety and supporting disaster mitigation efforts.