?url_ver=Z39.88-2004&rft_id=1917041069&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=DETEKSI+DAN+ANALISIS+SINYAL+ELEKTROMIOGRAFI+UNTUK+%0D%0AMENGUKUR+KONTRAKSI+DAN+KELELAHAN+OTOT+%0D%0ALENGAN+MANUSIA+MENGGUNAKAN+METODE+%0D%0AFAST+FOURIER+TRANSFORM&rft.creator=MELINDA+%2C+ARUM+PUSPITA+DEWI&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=530+Fisika&rft.description=Elektromiografi+(EMG)+merupakan+metode+untuk+mengamati+aktivitas+listrik+otot+selama+kontraksi%2C+yang+banyak+digunakan+dalam+olahraga+untuk+memantau+kekuatan+otot+dan+mencegah+cedera.+Penelitian+ini+bertujuan+mengembangkan+sistem+berbasis+Muscle+Sensor+V3+dan+Arduino+Uno+untuk+mendeteksi%2C+merekam%2C+dan+menganalisis+sinyal+EMG+menggunakan+Fast+Fourier+Transform+(FFT).+Sistem+ini+dilengkapi+Graphical+User+Interface+(GUI)+berbasis+Python+untuk+visualisasi+sinyal+secara+real-time.+Metode+penelitian+meliputi+perancangan+perangkat+keras+yaitu+Muscle+Sensor+V3%2C+elektroda%2C+baterai+9+V+dan+Arduino+Uno+serta+pengembangan+perangkat+lunak+untuk+analisis+sinyal.+Pengujian+dilakukan+pada+tiga+posisi+tangan+(lurus%2C+menekuk%2C+dan+menggenggam)+dengan+tegangan+masing-masing+sebesar+0%2C04+V%2C+0%2C06+V%2C+dan+0%2C08+V.+Selain+itu%2C+pengujian+pada+10+subjek+menunjukkan+peningkatan+tegangan+setelah+aktivitas+fisik+dari+rentang+0%2C19%E2%80%932%2C05+V+menjadi+0%2C23%E2%80%932%2C7+V.+Hasil+menunjukkan+bahwa+sistem+mampu+mendeteksi+aktivitas+otot+dan+mengidentifikasi+kelelahan+otot+berdasarkan+pola+frekuensi+sinyal+dengan+akurasi+yang+baik.+Sistem+ini+efektif+untuk+mendukung+program+latihan+dan+rehabilitasi+atlet%2C+meningkatkan+efisiensi+pemantauan+kondisi+otot%2C+serta+membantu+pengambilan+keputusan+untuk+mencegah+cedera.%0D%0A%0D%0AKata+kunci%3A+Arduino+Uno%2C+Elektromiografi+(EMG)%2C+Fast+Fourier+Transform+(FFT)%2C+Kelelahan+Otot+dan+Muscle+Sensor+V3.%0D%0A%0D%0A%0D%0A%0D%0A%0D%0A%0D%0Aabstract%0D%0A%0D%0AElectromyography+(EMG)+is+a+method+of+observing+the+electrical+activity+of+muscles+during+contraction%2C+which+is+widely+used+in+sports+to+monitor+muscle+strength+and+prevent+injury.+This+research+aims+to+develop+a+system+based+on+Muscle+Sensor+V3+and+Arduino+Uno+to+detect%2C+record%2C+and+analyze+EMG+signals+using+Fast+Fourier+Transform+(FFT).+The+system+is+equipped+with+a+Python-based+Graphical+User+Interface+(GUI)+for+real-time+signal+visualization.+The+research+method+includes+hardware+design+namely+Muscle+Sensor+V3%2C+electrodes%2C+9V+battery+and+Arduino+Uno+and+software+development+for+signal+analysis.+Tests+were+conducted+in+three+hand+positions+(straight%2C+bending%2C+and+grasping)+with+voltages+of+0%2C04+V%2C+0%2C06+V%2C+and+0%2C08+V%2C+respectively.+In+addition%2C+testing+on+10+subjects+showed+an+increase+in+voltage+after+physical+activity+from+a+range+of+0%2C19+-+2%2C05+V+to+0%2C23+-+2%2C7+V.+The+results+show+that+the+system+is+able+to+detect+muscle+activity+and+identify+muscle+fatigue+based+on+signal+frequency+patterns+with+good+accuracy.+The+system+is+effective+for+supporting+athletes'+training+and+rehabilitation+programs%2C+improving+the+efficiency+of+muscle+condition+monitoring%2C+and+assisting+decision-making+to+prevent+injuries.%0D%0A%0D%0AKeyword%3A+Arduino+Uno%2C+Electromyography+(EMG)%2C+Fast+Fourier+Transform+(FFT)%2C+Muscle+Fatigue+and+Muscle+Sensor+V3.+&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2025-01-07&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81727%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81727%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81727%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++MELINDA+%2C+ARUM+PUSPITA+DEWI++(2025)+DETEKSI+DAN+ANALISIS+SINYAL+ELEKTROMIOGRAFI+UNTUK+MENGUKUR+KONTRAKSI+DAN+KELELAHAN+OTOT+LENGAN+MANUSIA+MENGGUNAKAN+METODE+FAST+FOURIER+TRANSFORM.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F81727%2F