91
DAFTAR PUSTAKA
Adriansyah, A. & Hidyatama, O., 2013. Rancang Bangun Prototipe Elevator menggunakan Microcontroller Arduino ATMEGA 328P. Jurnal Teknologi Elektro Universitas Mercu Buana, pp. 1-10.
Arkan Fardhan, Z., 2014. Aplikasi Teknologi Zigbee pada Sistem Detektor Kebakaran pada Rumah Susun”,. Jurnal Teknik Elektro ITPVol 3, No.1, pp.
1-8.
Aryadi, D., 2018. Hubungan Antara Kekuatan Otot Lengan Bahu Dan Daya Ledak Otot Lengan Bahu Dengan Hasil Jumpingservice Pada Siswa Putera Kelas VII SMP Negeri 2 Leuwidamar Kabupaten Lebak Provinsi Banten.
Jurnal Ilmiah PENJAS Edisi Khusus, pp. 60-65.
Bagus, A. R., Bagus, F. & N, I., 2020. Analisis Sinyal Electromyography (Emg) Pada Otot Biceps Brachii Untuk Mendeteksi Kelelahan Otot Dengan Metode Median Frekuensi. Jurnal Teknik ELektro, pp. 3-5.
Bansal, K. K. & Yadav, R. K., 2012. Analysis of Sliding Window Protocol for Connected Node. International Journal of Soft Computing and Engineering (IJSCE), pp. 1-3.
Budiwanto, S., 2012. Metodologi Latihan Olahraga. Malang: Universitas Negeri.
Chen, H. et al., 2017. Exploring the Relation Between EMG Sampling Frequency and Hand Motion Recognition Accuracy. Proceeding of IEEE international conference, pp. 1-6.
dr Nadhira, A. M., 2019. Nyeri Otot Setelah Olahraga dan Cara
Meringankannya. [Online]
Available at: https://www.alodokter.com/nyeri-otot-setelah-olahraga-dan- cara-
meringankannya#:~:text=Penyebab%20Munculnya%20Nyeri%20Otot%20S etelah%20Olahraga&text=Penumpukan%20asam%20laktat%20sebagai%20 hasil,Peradangan%20pada%20otot
[Accessed 9 Januari 2021].
92
Florentinus, F. & Setiawan, B., 2018. Pengukuran Kekuatan Kontraksi Otot Pada Bagian Torso Tubuh Menggunakan Sensor Elektromiografi. Unika Repository, pp. 1-8.
Hanke, J. E. & Wichern, D., 2014. Business Forecasting. 9th ed. Edinbrugh Gate:
Pearson Education Limited.
Kent-Braun, J. A., Fitts, R. H. & Christie, A., 2012. Skeletal Muscle Fatigue.
Comprehensive Physiology.
Kho, D., 2018. Teknik Elektronika. [Online]
Available at: https://teknikelektronika.com/pengertian-low-pass-filter-lpf- atau-tapis-lolos-bawah/
[Accessed 2 6 2021].
Kilby, J. & Prasad, K., 2013. Analysis of Surface Electromyography Signals Using Discrete Fourier Transform Sliding Window Technique. nternational Journal of Computer Theory and Engineering, , V(2).
Liou, J.-C., Shih, T.-T., Lin, W.-C. & Huang, Y.-C., 2015. Noninvasive ECG and EMG electrode system for health monitoring and science technology application.. International Conference on Consumer Electronics-Taiwan (IEEE), pp. 1-2.
Merletti, R. & Farina, D., 2016. Surface Electromygraphy: Physiology, Egineering and Applications. New Jersey: IEEE Press, John Wiley.
Mustiadi, I., 2013. Klasifikasi Sinyal Emg Berbasis Wavelet Dan Jaringan Syaraf Tiruan. Elektromiografi, pp. 1-4.
Piyare, R. & Seong-ro, L., 2016. Performance Analysis of XBee ZB Module Based Wireless Sensor Networks. International Journal of Scientific and Engineering Research, pp. 2-7.
Pratiwi, I., Purnomo, R. D. & Setyowati, L., 2013. Letak Elektroda Elektromiografi pada Upper Extremity Muscle. Journal of Chemical Information and Modeling, 53(9).
Purba, T. S. P., Moeliono, M. A. & Sastradimadja, S. B., 2017. Effect of Quadriceps Muscle Strengthening Exercise on Quadriceps and Hamstring Muscle Strength Ratio in Patients with Osteoarthritis Grade 2 and 3.
International Journal of Integrated Health Sciences, II(5), pp. 64-9.
93 Shair, E. F., 2017. EMG Processing Based Measures of Fatigue Assessment
during Manual Lifting. BioMed Research Internationa, pp. 3-14.
Shing-Hong, L. et al., 2019. An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise. Sensors 2019, pp. 1-15.
Zhang, Z., Tang, Y., Zhao, S. & Zhang, X., 2019. Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on Support Vector Machine.
Robotics and Biomimetics Journal, pp. 1-5.