ROFIQ, MOHAMAD (2025) PROTOTYPE MULTISENSOR PENDETEKSI KEBAKARAN BERBASIS INTERNET OF THINGS (IOT). S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.
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Abstract
Fire is one of the unpredictable disasters and often has a significant impact on people's lives, both materially and non-materially. Based on data from the Indonesian Police, from 2018 to 2023, there have been 5,336 cases of fire, with the largest number of cases occurring in residential areas. Fires are often only detected when the fire gets bigger, so losses are unavoidable. Therefore, an early detection system is needed that can provide real-time information to minimize the impact of fires. This study aims to design a prototype of a multisensor fire detector based on the Internet of Things (IoT). This system integrates a flame sensor, MQ-2 gas sensor and DHT22 temperature sensor, with the Blynk application to provide real-time notifications to users. In addition, the system is equipped with an LCD as a warning information display and a buzzer as a warning alarm. The system is designed to detect early symptoms of fire, such as increased temperature, the presence of fire or gas leaks, so that preventive measures can be taken immediately. The results of the study showed that the system can detect fire at a maximum distance of 100 cm, hazardous gas concentrations starting from 600 ppm and temperatures starting from 35°C as the fire detection threshold. The integration of hardware and software went well, allowing the system to provide warnings through three types of output, namely visual display on the LCD, sound through the buzzer, and real-time notification through the Blynk application. With this success, this multisensor prototype can help users detect potential fires early and minimize the risk of losses due to fire.
| Item Type: | Thesis (S1) | |||||||||
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| Additional Information: | Kebakaran merupakan salah satu bencana yang tidak dapat diprediksi dan seringkali membawa dampak signifikan terhadap kehidupan masyarakat, baik secara materiil maupun nonmateriil. Berdasarkan data Kepolisian RI, sejak 2018 hingga 2023, telah terjadi 5.336 kasus kebakaran, dengan jumlah kasus terbesar terjadi di kawasan pemukiman. Kebakaran sering kali baru terdeteksi saat api membesar, sehingga kerugian menjadi tidak terhindarkan. Oleh karena itu, diperlukan sistem pendeteksian dini yang mampu memberikan informasi secara real-time untuk meminimalkan dampak dari kebakaran. Penelitian ini bertujuan untuk merancang prototype multisensor pendeteksi kebakaran berbasis Internet of Things (IoT). Sistem ini mengintegrasikan sensor api (flame sensor), sensor gas MQ-2 dan sensor suhu DHT22, dengan aplikasi Blynk untuk memberikan notifikasi real-time kepada pengguna. Selain itu, sistem dilengkapi dengan LCD sebagai tampilan informasi peringatan dan buzzer sebagai alarm peringatan. Sistem dirancang untuk mendeteksi gejala awal kebakaran, seperti peningkatan suhu, keberadaan api atau kebocoran gas, sehingga tindakan pencegahan dapat segera dilakukan. Hasil penelitian menunjukkan bahwa sistem dapat mendeteksi api pada jarak maksimal 100 cm, konsentrasi gas berbahaya mulai dari 600 ppm dan suhu mulai dari 35°C sebagai ambang batas deteksi kebakaran. Integrasi hardware dan software berjalan dengan baik, memungkinkan sistem untuk memberikan peringatan melalui tiga jenis output yaitu tampilan visual pada LCD, suara melalui buzzer, dan notifikasi real-time melalui aplikasi Blynk. Dengan keberhasilan ini, prototype multisensor ini dapat membantu pengguna dalam mendeteksi potensi kebakaran secara dini dan meminimalkan risiko kerugian akibat kebakaran. | |||||||||
| Uncontrolled Keywords: | Prototype, Multisensor, Internet of Things, Fire Detector, Blynk, NodeMCU ESP32 Prototype, Multisensor, Internet of Things, Pendeteksi Kebakaran, Blynk, NodeMCU ESP32. | |||||||||
| Subjects: | L Education > L Education (General) T Technology > T Technology (General) |
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| Divisions: | 02-Fakultas Keguruan dan Ilmu Pendidikan > 83201-Jurusan Pendidikan Vokasional Teknik Elektro 02-Fakultas Keguruan dan Ilmu Pendidikan |
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| Depositing User: | Mohamad Rofiq | |||||||||
| Date Deposited: | 20 Aug 2025 04:45 | |||||||||
| Last Modified: | 20 Aug 2025 04:45 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/52163 |
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