PENGEMBANGAN SISTEM DETEKSI TANTRUM REAL-TIME BERBASIS IOT UNTUK MENDUKUNG PENDIDIKAN INKLUSIF DI SEKOLAH LUAR BIASA
Kata Kunci:
Gangguan Spektrum Autisme, IoT, Pemantauan Emosi, Sensor Detak Jantung untuk Autisme, Deteksi Emosi Menggunakan Sensor SuaraAbstrak
Dalam lingkungan Sekolah Luar Biasa (SLB), deteksi dan penanganan emosi negatif seperti tantrum pada siswa autis menjadi tantangan utama yang berdampak langsung pada keamanan dan kualitas pembelajaran. Penelitian ini bertujuan merancang sistem deteksi tantrum secara real-time berbasis Internet of Things (IoT) yang mengintegrasikan sensor detak jantung dan sensor suara, diproses melalui mikrokontroler ESP32, dan terhubung ke platform monitoring berbasis web sebagai media notifikasi bagi guru. Dengan pendekatan rekayasa perangkat lunak dan studi literatur terhadap lebih dari 40 publikasi ilmiah bereputasi, sistem ini dikembangkan sebagai solusi awal yang inovatif dan aplikatif dalam konteks pendidikan inklusif. Kajian teoritik menunjukkan bahwa indikator fisiologis dan perilaku vokal merupakan sinyal utama dalam mendeteksi stres atau ledakan emosi pada siswa dengan Autism Spectrum Disorder (ASD). Rancangan sistem diharapkan dapat memberikan kontribusi dalam upaya menciptakan lingkungan belajar yang adaptif aman dan respontif di SLB.
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