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2nd International Conference on Electronics, Biomedical Engineering, and Health Informatics, ICEBEHI 2021 ; 898:479-490, 2022.
Article in English | Scopus | ID: covidwho-1958939

ABSTRACT

The physical therapy generally requires direct assistance from therapists continuously, however, the time is very limited. Moreover, the social distancing policy in the COVID-19 pandemic period made the patient could not come to rehabilitation center for physical therapy. Remote physical therapy is suggested to reduce dependency of therapist for conducting the physical therapy. However, there is few information about the necessary parameters in lower limb monitoring of post-stroke patient. Therefore, in this paper, a review for designing a low-cost online homecare physical therapy monitoring system is proposed. Article finding had been done using online search engine Google Scholars to conclude the design of the online monitoring system. Several keywords had been used, such as “online stroke rehabilitation monitoring,” “stroke rehabilitation parameters,” “stroke monitoring Internet of Things,” and “lower limb stroke monitoring.” The results show that the necessary monitor parameters are lower limb kinematics and dynamics, which can be complimented by bio-signal data, such as EMG. The lower limb monitoring system can use IMU, muscle sensor, and footswitches to measure the necessary parameters. IMU measures the lower limb kinematics because it provides wide range of measurement. Muscle sensor, which compatible to microcontroller, measures the EMG. Lastly, the footswitches detect the gait phases, which classify the measured data for more in-depth analysis. The mentioned sensors are cheap and available in the online market of Indonesia, which is suitable to realize a low-cost lower limb monitoring system. The research finding also suggests quick and accurate feedback mechanism for improving the training quality, which the feedback is combination of therapist opinion and artificial intelligence prediction. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2.
International Journal of Intelligent Engineering and Systems ; 15(1):361-369, 2022.
Article in English | Scopus | ID: covidwho-1675497

ABSTRACT

One critical problem in Indonesia's national joint courses program, initiated by the ministry of education and culture of Indonesia, is the lecturer-course assignment problem. Although the lecturer-course assignmentproblem has been studied widely as part of the education timetabling problem, no existing lecturer-courseassignment model suits this circumstance. The new cases in this program are as follows. First, this program isconducted online. Second, the participants are students and lecturers from different universities. Based on thisproblem, this work proposes a novel lecturer-course assignment model that suits this program. The lecturers'preferred courses and timeslots become hard constraints. The model has three objectives: (1) maximizing theeducational quality, (2) maximizing the lecturers' time preference, and (3) minimizing the number of unservedclasses. This model is developed by using integer linear programming and optimized by using cloud theory-basedsimulated annealing. This proposed model is then compared with the four previous lecturers-course assignmentmodels. The first model concerns about minimizing the number of unserved classes, while the second model focuseson maximizing the education quality. The maximum number of classes per course for every lecturer is considered inthe third model while balancing the lecturer’s load (teach, research, community service) is the feature of the fourthmodel. The research concludes that the proposed model is appropriate for lecture-course assignment in Indonesia’snational joint courses program compared to the previous models. Based on the simulation result, the proposed modelperforms moderately in education quality and several unserved classes. Meanwhile, the proposed model is the best inthe timeslot preference aspect by creating a 25% to 28% higher total timeslot score than other previous models © 2022, International Journal of Intelligent Engineering and Systems. All Rights Reserved.

3.
10th National Physics Seminar, SNF 2021 ; 2019, 2021.
Article in English | Scopus | ID: covidwho-1528111

ABSTRACT

The impact of the Covid-19 pandemic has made it difficult for elementary education institutions to implement online learning. In the application of audio-visual stop motion learning media based on CTL in elementary schools, it will become a reference material for teachers in implementing online learning, especially in science learning which adheres to scientific concepts through observation and experiments on a contextual basis. Thus, this study aims to apply audiovisual stop motion learning media based on CTL in elementary schools and to measure children's understanding of the concept of science. The specific goal is to make online learning more meaningful by using CTL-based audio-visual stop motion video learning media in science learning in elementary schools. The benefit of teachers and students is that there are learning media that become references for online learning designs. © 2021 Institute of Physics Publishing. All rights reserved.

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