?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adissertation&rft.aulast=Aripin&rft.au=Aripin%2C+Moch.&rft.aufirst=Moch.&rft.tpages=25&rft.inst=Universitas+Pakuan&rft.date=31+July+2023&rft.degree=Skripsi&rft.title=J-INTECH+(Journal+of+Information+and+Technology)+Terakreditasi+Kemendikbud+SK+No.+204%2FE%2FKPT%2F2022+E-ISSN%3A+2580-720X+%7C%7C+P-ISSN%3A+2303-1425+Deteksi+Gangguan+Tidur+Menggunakan+Metode+Jaringan+Saraf+Tiruan+Berbasis+Internet+Of+Things+(IOT)+Moch+Aripin1*+%2C+Soewarto+Hardhienata2%2C+Teguh+Puja+Negara3+1%2C2%2C3Universitas+Pakuan%2C+Fakultas+Matematika+dan+Ilmu+Pengetahuan+Alam%2C+Program+Studi+Ilmu+Komputer%2C+Bogor%2C+Indonesia+Informasi+Artikel+Abstrak+Diterima%3A+26-05-2024+Direvisi%3A+27-05-2024+Diterbitkan%3A+28-06-2024+Gangguan+tidur+seperti+Central+Sleep+Apnea+(CSA)+dan+Obstructive+Sleep+Apnea+(OSA)+dapat+berdampak+buruk+bagi+kesehatan+jika+tidak+ditangani+dengan+baik.+Penelitian+ini+bertujuan+merancang+alat+pendeteksi+gangguan+tidur+menggunakan+metode+jaringan+saraf+tiruan+berbasis+Internet+of+Things+(IoT).+Sistem+ini+menggunakan+sensor+AD8232+untuk+mengakuisisi+sinyal+elektrokardiogram+(EKG)+yang+kemudian+diekstraksi+fitur+High+Frequency+dan+Low+Frequency.+Ekstraksi+fitur+dilakukan+dengan+metode+Fast+Fourier+Transform.+Klasifikasi+kondisi+normal%2C+CSA%2C+atau+OSA+dilakukan+dengan+metode+jaringan+saraf+tiruan+Multilayer+Perceptron+yang+ditraining+menggunakan+data+dari+Physionet.+Mikrokontroler+ESP32+digunakan+untuk+memproses+ekstraksi+fitur+dan+klasifikasi.+Hasil+klasifikasi+kemudian+dikirimkan+ke+database+melalui+modul+WiFi+ESP32+dan+ditampilkan+pada+antarmuka+website.+Dari+pengujian+kinerja+sensor+AD8232+diperoleh+akurasi+96%2C85%25%2C+akurasi+klasifikasi+menggunakan+Jaringan+Syaraf+Tiruan+sebesar+80%25%2C+dan+waktu+komputasi+rata-rata+7%2C6+ms.+Sistem+ini+berpotensi+membantu+deteksi+dini+gangguan+tidur+sehingga+dapat+ditangani+lebih+awal+oleh+tenaga+medis.+Kata+Kunci+Gangguan+tidur%3B+Central+Sleep+Apnea%3B+obstructive+Sleep+Apnea%3B+Jaringan+Saraf+Tiruan%3B+Internet+of+Things+*Email+Korespondensi%3A+mocharipin214%40gmail.com+Abstract+Sleep+disorders+such+as+Central+Sleep+Apnea+(CSA)+and+Obstructive+Sleep+Apnea+(OSA)+can+have+adverse+health+effects+if+not+treated+properly.+This+research+aims+to+design+a+sleep+disorder+detection+device+using+the+Internet+of+Things+(IoT)-+based+artificial+neural+network+method.+This+system+uses+AD8232+sensor+to+acquire+electrocardiogram+(ECG)+signal+which+is+then+extracted+High+Frequency+and+Low+Frequency+features.+Feature+extraction+is+performed+using+the+Fast+Fourier+Transform+method.+Classification+of+normal%2C+CSA%2C+or+OSA+conditions+is+performed+using+the+Multilayer+Perceptron+artificial+neural+network+method+which+is+trained+using+data+from+Physionet.+The+ESP32+microcontroller+is+used+to+process+the+feature+extraction+and+classification.+The+classification+results+are+then+sent+to+the+database+via+the+ESP32+WiFi+module+and+displayed+on+the+website+interface.+From+testing+the+performance+of+the+AD8232+sensor%2C+an+accuracy+of+96.85%25+was+obtained%2C+the+classification+accuracy+using+the+Artificial+Neural+Network+was+80%25%2C+and+the+average+computation+time+was+7.6+ms.+This+system+has+the+potential+to+help+early+detection+of+sleep+disorders+so+that+they+can+be+treated+early+by+medical+personnel