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SISTEM MONITORING SINYAL ELEKTROKARDIOGRAM (EKG) MENGGUNAKAN THINGSPEAK CLOUD COMPUTING Amin Ajaib Maggang; Beby H. A. Manafe; Sarlince O. Manu; Johanis F. M. Bowakh
Jurnal Media Elektro Vol 10 No 1 (2021): April 2021
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.3838

Abstract

Developments in electronics and software have led to many cloud server applications that can be integrated with Arduino Uno to create an inexpensive cardiovascular health monitoring system. Therefore, this study aims to build a heart health monitoring system based on the internet of things by utilizing the free ThingSpeak server account and the AD8232 ECG sensor. The results show that the developed system can send ECG data and display it on the ThingSpeak server, although only the QRS and RR segments of the ECG signal can be displayed properly and meet its normal standards. Apart from this, the system is also able to automatically calculate and display the heart rate on the output of the ThingSpeak server every 15 seconds, so that heart health can be monitored in real-time.
PERBANDINGAN PENGKODEAN TEKS MENGGUNAKAN ALGORITMA HUFFMAN DAN ALGORITMA HUFFMAN WEAVEN HANKAMER PADA APLIKASI MATLAB Muhammad Abizar Rofi'udin; Beby H. A. Manafe; Amin A. Maggang
Jurnal Media Elektro Vol 11 No 2 (2022): Oktober 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.8105

Abstract

Huffman Algorithm and Huffman Weaven-Hankamer Algorithm are the two-source coding algorithms applied generally for text coding. Both algorithms consist of many stages to complete the coding processes. The more character to processes, the longer the time they consume. Therefore, this research aimed to create a user interface using MATLAB that can simulate the process of both algorithms and provide highly accurate results faster. There were two scenarios for the experiments. Both approaches were conducted eight times using the same number of characters, 15 to 22 thousand. ELSE characters were also contained in the information sources, but they are different in number compared to ordinary characters. The first experiment used more ELSE characters, whereas the second applied lesser ELSE characters than the ordinary ones. The results showed that the Huffman algorithm was more efficient in the first scenario than Huffman Weaven-Hankamer, which was a 2.24 percent average difference. Although the Huffman algorithm still performed better in the second experiment, the difference in average efficiency was smaller, 1.48 percent, compared to the first approach. In addition, the results also showed that the Huffman weaves Hankamer Tree was simpler than the Huffman tree.