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All Journal Kurawal - Jurnal Teknologi, Informasi dan Industri Journal of Intelligent Decision Support System (IDSS)
Feri Yasin
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Other

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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.
PENGARUH IMPLEMENTASI ALGORITMA DECISION TREE TERHADAP AKURASI SISTEM PENAKARAN AIR MENGGUNAKAN SENSOR WATER FLOW YF-S401 Feri Yasin; Aulia Desy Nur Utomo; Bita Parga Zen
Kurawal - Jurnal Teknologi, Informasi dan Industri Vol 8 No 2 (2025): Jurnal Kurawal Volume 8, Nomor 2, Oktober 2025
Publisher : Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/kurawal.v8i2.1231

Abstract

This study discusses the development of a microcontroller-based water dispensing system by comparing two approaches: the conventional method and the decision tree algorithm. The system was tested on various volume variations and analyzed in terms of error and accuracy. The results show that the conventional method produced an average error of 20.5%, particularly high at smaller volumes. In contrast, the decision tree algorithm achieved an average error of only 2.0% and consistently maintained accuracy above 98%. Therefore, the decision tree algorithm proves to be superior in improving the accuracy and reliability of the automatic water dispensing system.
Co-Authors Aulia Desy Nur Utomo Bita Parga Zen Nugroho, Muhammad Agung