SISTEM MANAJEMEN PENDETEKSI KEBAKARAN BERBASIS IOT DI GEDUNG SAINTEK UIN RADEN INTAN LAMPUNG

FARIHA, KHOIRUNNISA (2026) SISTEM MANAJEMEN PENDETEKSI KEBAKARAN BERBASIS IOT DI GEDUNG SAINTEK UIN RADEN INTAN LAMPUNG. Diploma thesis, UIN RADEN INTAN LAMPUNG.

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Abstract

ABSTRAK Kebakaran merupakan salah satu bencana yang berpotensi menimbulkan kerugian besar, baik dari segi keselamatan jiwa maupun kerugian material, terutama pada bangunan publik seperti gedung perkuliahan. Gedung Saintek UIN Raden Intan Lampung memiliki risiko kebakaran yang dapat disebabkan oleh korsleting listrik, kelalaian manusia, maupun faktor teknis lainnya. Sistem pendeteksi kebakaran yang masih bersifat konvensional dinilai belum mampu memberikan peringatan dini secara cepat, akurat, dan terintegrasi. Oleh karena itu, diperlukan suatu sistem manajemen pendeteksi kebakaran yang mampu melakukan monitoring secara real-time serta memberikan informasi peringatan dini kepada pihak terkait guna meminimalkan risiko dan dampak kebakaran. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan ADDIE yang meliputi tahap Analyze, Design, Development, Implementation, dan Evaluate. Pengumpulan data dilakukan melalui observasi langsung di Gedung Saintek, wawancara dengan petugas kebersihan gedung dan petugas keamanan kampus, serta studi dokumentasi. Sistem dikembangkan berbasis Internet of Things (IoT) dengan memanfaatkan ESP32 sebagai mikrokontroler, sensor asap MQ-2, sensor api, buzzer, dan LED sebagai indikator. Sistem terintegrasi dengan aplikasi Telegram untuk notifikasi peringatan dini serta platform ThingSpeak sebagai media pemantauan data secara real-time. Hasil penelitian menunjukkan bahwa sistem manajemen pendeteksi kebakaran berbasis IoT yang dikembangkan mampu mendeteksi adanya asap dan api secara cepat dan akurat sesuai dengan skenario pengujian. Sistem berhasil mengirimkan notifikasi peringatan melalui Telegram kepada petugas kebersihan Gedung Saintek dan petugas keamanan kampus, serta menampilkan data monitoring pada dashboard ThingSpeak. Berdasarkan hasil pengujian fungsional dan evaluasi pengguna, sistem dinyatakan berjalan dengan baik dan layak digunakan sebagai sistem pendeteksi kebakaran dini. Dengan demikian, sistem ini diharapkan dapat meningkatkan kesiapsiagaan dan keselamatan lingkungan Gedung Saintek UIN Raden Intan Lampung terhadap potensi terjadinya kebakaran. Kata Kunci: Internet of Things (IoT), Sistem Manajemen, Pendeteksi Kebakaran, ESP32, Gedung Saintek. ABSTRACT Fire is one of the disasters that can cause significant losses, both in terms of human safety and material damage, especially in public buildings such as academic facilities. The Saintek Building of UIN Raden Intan Lampung has potential fire risks caused by electrical short circuits, human negligence, and technical factors. Conventional fire detection systems are considered insufficient in providing fast, accurate, and integrated early warnings. Therefore, an IoT-based fire detection management system is needed to enable real time monitoring and deliver early warning information to relevant stakeholders in order to minimize fire risks and impacts. This study employed a Research and Development (R&D) method using the ADDIE development model, which consists of the Analyze, Design, Development, Implementation, and Evaluate stages. Data collection was conducted through direct observation at the Saintek Building, interviews with cleaning service staff and campus security officers, and documentation studies. The system was developed using Internet of Things (IoT) technology by utilizing an ESP32 microcontroller, MQ-2 smoke sensor, flame sensor, buzzer, and LED indicators. The system was integrated with the Telegram application for early warning notifications and the ThingSpeak platform for real-time data monitoring. The results of this study indicate that the developed IoT-based fire detection management system is capable of detecting smoke and fire quickly and accurately according to the testing scenarios. The system successfully sends warning notifications via Telegram to cleaning service staff and campus security officers, while monitoring data are displayed in real time on the ThingSpeak dashboard. Based on functional testing and user evaluation results, the system operates properly and is feasible for use as an early fire detection system. Therefore, this system is expected to enhance preparedness and safety in the Saintek Building of UIN Raden Intan Lampung against potential fire incidents. Keywords: Internet of Things (IoT), Management System, Fire Detection, ESP32, Saintek Building.

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