RANCANG BANGUN SISTEM MONITORING TINGKAT STRES BERBASIS IOT DAN ANDROID MENGGUNAKAN ALGORITMA FUZZY LOGIC

Maulana, Alfin Afriza (2026) RANCANG BANGUN SISTEM MONITORING TINGKAT STRES BERBASIS IOT DAN ANDROID MENGGUNAKAN ALGORITMA FUZZY LOGIC. Undergraduate thesis, Universitas Nusantara PGRI Kediri.

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Abstract

Penelitian ini dilatarbelakangi keterbatasan alat kesehatan portabel yang sekadar menampilkan angka mentah serta rentannya sensor IoT terhadap gangguan pergerakan fisik (motion artifact). Sebagai solusi, dikembangkan sistem pemantauan stres mandiri menggunakan mikrokontroler ESP32, sensor MAX30102 (detak jantung), DS18B20 (suhu perifer), dan modul GSR. Data ditransmisikan secara real-time via Firebase ke aplikasi Android. Sistem menerapkan algoritma Median Filter (jendela 10 detik) untuk meredam derau, dilanjutkan komputasi Fuzzy Logic Mamdani guna mengklasifikasikan status pengguna menjadi: Tenang, Cemas, dan Tegang. Hasil pengujian komparatif menunjukkan tingkat akurasi sensor detak jantung sebesar 96,81% dan suhu 98,40%. Sistem cerdas ini terbukti berhasil mengonversi data medis mentah menjadi diagnosis presisi, dilengkapi fitur ekspor riwayat CSV untuk mendukung deteksi dini kesehatan mental secara praktis.

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