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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknik Informatika UNIKA Santo Thomas Etika Demokrasi Kurawal - Jurnal Teknologi, Informasi dan Industri JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal E-Komtek Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Journal of Telecommunication, Electronics and Control Engineering (JTECE) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) IJCOSIN : Indonesian Journal of Community Service and Innovation eProceedings of Engineering Teknikom: Teknologi Informasi, Ilmu Komputer dan Manajemen
Aulia Desy Nur Utomo
Institut Teknologi Telkom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Journal of Intelligent Decision Support System (IDSS)

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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.
Co-Authors Abimanyu Abimanyu Aditya Wijayanto Ahmad Ashari Ahmad Ashari Andi Prademon Yunus Anggi Zafia Aulia Sholichah Iman Nurchotimah Bita Parga Zen Cahyo Prihantoro Dany Candra Febrianto Dimas Dwi Priyono Dimas Dwi Priyono Dimas Fanny Hebrasianto Permadi Fajaruloh, Wahyu Farhan Ilham, Afif Felix Barus, Fransiskus Fera Agurini Feri Yasin Henri Tantyoko Ipam Fuaddina Adam Iqsyahiro Kresna A Khasanah, Dian Ratu Ayu Uswatun Moh Thoriq Afif Muhammad Agung nugroho Muhammad Rivai, Bramansyah Novantoro, Setiawan Dwi Putri Ginting, Betania Setyoko, Yoso Adi Siagian, Claudia Angelita T Heru Nurgiansah Wibowo, Fahrudin Mukti Yasin, Feri Yesy Diah Rosita Yoso Adi Setyoko Zulfian, Lutfi