No abstract

Pada dunia pendidikan website memiliki peran penting dalam memberikan informasi terkait dengan instansi pemilik website dan juga media promosi. Salah satu website pada lingkungan pendidikan yaitu website kampus Akademi Komunitas Negeri Pacitan. Pengunjung atau pengguna juga memiliki pengaruh besar terhadap website. Beberapa tinjauan tersebut yang mendorong kami dalam penganalisaan usability website kampus Akademi Komunitas Negeri Pacitan, yang mana pengukuran dan analisa menggunakan System Usability Scale (SUS) yang dilakukan uji validitas yang menyatakan valid dengan hasil Rhitung Rtabel pada item kuesioner dan uji Reliabilitas dengan hasil 0.637 yang menyatakan reliabel. Hasil Skor pada website kampus Akademi Komunitas Negeri Pacitan yaitu 60,75, dimana mendapat predikat D, kategori OK, tingkat penerimaan (feel) pengunjung yaitu margin low dan sudut pandang Net Promoter Score (NPS) berdasarkan skor SUS dinyatakan bahwa berpotensi detractor. Hasil ini menjabarkan bahwa dianggap belum efektif, efisien dan memuaskan bagi pengguna/pengunjung serta belum usable.

Exercise makes the body fit, but most people do not know the intensity of the exercise they are doing right or otherwise can be dangerous, because not everyone knows the maximum heart rate (MHR), Heart Rate Resting (HRRest), heart rate reserve (HRR) and Target Heart Rate (THR) for each individual, it is proposed an ECG signal-based warning system to find out how much a person's maximum limit in exercise based on age, gender, body mass index, MHR, RHR, THRmin and THRmax. The data is taken by using ECG sensors from the subjects who are doing sport activities using a treadmill by noting the resulted feature when the subject reaches the maximum limit of the heart rate (THRmax) target. Range is calculated from 50% of the THR value, which increases periodically during treadmill activities up to 85% of THR. When already exceed THRmax, then the system will automatically warn and decrease the level of exercise to medium to low levels in the cooling down level. For the % hardware errors in a row from 1 minute, 3 minutes, 5 minutes, and 10 minutes obtained % error with 0.77±0.14. The RMSE of the hardware and software test showed high accuracy because of the small value of error. The system succeeds to alert any intensity level of sport based on the Proportional integral derivative according to the bpm value generated by the subject during the treadmill exercise.