Muhammad Ahmad Baballe
Kano State Polytechnic

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Caring jacket: health monitoring jacket integrated with the internet of things for COVID-19 patients Hari Maghfiroh; Daru Kusumastuti; Rebbeka Siswandina Sari; Muhammad Hammam Al-Choiri; Maulana Afif; Ricky Aston Susetyo; Muhammad Ahmad Baballe
Computer Science and Information Technologies Vol 4, No 2: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v4i2.p127-134

Abstract

One of the policies that have been made by the World Health Organization (WHO) and the Indonesian government during this COVID-19 pandemic, is to use an oximeter for self-isolation patients. The oximeter is used to monitor the patient if happy hypoxia which is a silent killer, happens to the patient. To maintain body endurance, exercise is needed by COVID-19 patients, but doing too much exercise can also cause decreased immunity. That’s why fatigue level and exercise intensity need to be monitored. When exercising, social distancing protocol should be also reminded because can lower COVID-19 spreading up to 13.6%. To solve this issue, the Caring Jacket is proposed which is a health monitoring jacket integrated with an IoT system. This jacket is equipped with some sensors and the global positioning system (GPS) for tracking. The data from the test showed the temperature reading accuracy is up to 99.38%, the oxygen rate up to 97.31%, the beats per minute (BPM) sensor up to 97.82%, and the precision of all sensors is 97.00% compared with a calibrated device.
Performance Evaluation of Sliding Mode Control (SMC) for DC Motor Speed Control Dimas Dwika Saputra; Alfian Ma'arif; Hari Maghfiroh; Muhammad Ahmad Baballe; Angelo Marcelo Tusset; Abdel-Nasser Sharkawy; Rania Majdoubi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.26291

Abstract

DC motor is an industrial motor that is practical for many applications and implementations. However, the speed of a DC motor often decreases because of the given load, thus causing it to be unstable and inconstant. In addition, parameter uncertainty is another issue of DC motors. The performance of the system will be impacted by the uncertainty. Therefore, in this study, SMC is used as speed control of the DC motor since it can handle non-linear plants. The performance also compares with PID to know the effectiveness of the SMC method in DC motor speed control. This study proposes a hardware design and implementation of DC motor angular speed control on Arduino UNO as an embedded control system. The performance comparison analysis results proved that both controllers could perform well. However, both controllers need further fine-tuning. There are still overshoot and steady-state errors for PID and SMC, respectively. In future work, the optimization method can be used to find the optimal gain or by combining it with an adaptive algorithm.