International Journal of Mechatronics and Technology
The International Journal of Mechatronics and Technology (IJMT) is a premier publication that serves as a platform for the dissemination of cutting-edge research in the field of mechatronics and related technologies. With a focus on original research articles, reviews, and technical notes, IJMT welcomes submissions from researchers, engineers, and practitioners worldwide. IJMT covers a wide range of topics, including robotics, automation, control systems, artificial intelligence, and more. The journal aims to be a comprehensive resource for academics, industry professionals, and students interested in the latest developments and advancements in mechatronics and related disciplines. Our editorial team is composed of experts in the field who ensure that all submissions undergo a rigorous peer review process to maintain the highest standards of quality and integrity. We strive to provide authors with timely and constructive feedback to help them improve their work and contribute to the advancement of the field. IJMT is committed to open access publishing, making all published content freely available to readers around the globe. We believe that open access is essential for the dissemination of knowledge and the advancement of science. Overall, IJMT is dedicated to promoting excellence in mechatronics research and serving as a valuable resource for the global mechatronics community. Announcements International Journal Of Mechatronics and Technology Just Launched The International Journal of Mechatronics and Technology (IJMT) is thrilled to announce the launch of its latest issue, featuring cutting-edge research articles, reviews, and technical notes in the field of mechatronics and related technologies. This edition showcases contributions from researchers, engineers, and practitioners worldwide, covering diverse topics such as robotics, automation, control systems, and artificial intelligence. We invite you to explore the latest advancements and discoveries in mechatronics through the pages of our new issue. Sent: 2024-05-01 See More Announcements ...
The effect of aerobic exercise on blood pressure among older people with hypertension in Indonesia
Exercising has been shown to not only lower office blood pressure (BP) in hypertensive people, but also to improve their overall health. This study would assess the acute effects of aerobic exercise on post-exercise blood pressure in older persons who participate in physical activity and have grade I high blood pressure. A randomized control trial with a longitudinal follow-up was used in this study. Daily exercises are moderate, requiring 50-70 percent of the participant's maximum VO2 HR (220 years old), and at least three sessions per week for a total of 30 minutes per section. Respondents had a higher SBP at baseline, with an average score of 132.35 (SD=22.77). While respondents had a higher DBP at baseline, with an average score of 91.42 (SD=19.55). At T3, the SBP and DBP scores continue to show decreased outcomes when compared to the control. Aerobic exercise has a significant impact on the average systolic and diastolic blood pressure of the elderly with hypertension. It is recommended that more research be conducted on the effect of exercise on blood pressure, specifically hypertension exercise
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Anti-Diabetic Effect of Snake Fruit Skin Extract in Alloxan-Induced Wistar Rat
Basic Health Research Report shows that an average prevalence of diabetes mellitus (DM) in urban areas is 5.7% in the population aged over 15 years. Many studies have been conducted to explore the pharmacological effects of snake fruit skin as different preparations against DM. In this study, the effect of snake fruit skin extract (SFSE) on body weight and blood glucose levels induced by alloxan was tested on 25 male Wistar rats. All rats were initially induced with 5% alloxan (150 mg/kg BW) then after 48 hours were grouped into: control (Na-CMC 0.5%), standard (Metformin), SFSE-I (60 mg/200 gBW), SFSE -II (120 mg/200 gBW), and SFSE-III (240 mg/200 gBW). The treatment was given for 14 days. The results showed that the tendency for the highest blood glucose levels of about 333 mg/dl (after 28 days of treatment) was found in the control group, followed by SFSE-I (222 mg/dl), -II (205 mg/dl), -III (138 mg/dl), and the lowest in the standard group was about 129 mg/dl. Hence, it can be concluded that SFSE which has the best antihyperglycemic effect was obtained with the highest dose of 240 mg/200 gBW
Model SWOT-AHP-TOPSIS For University Development Strategy
Universities face challenges to always improve themselves in order to make themselves the best universities. Therefore, every university needs to do an analysis of Strengths, Weaknesses, Opportunities, and Threats (SWOT) so that they can formulate strategies that are in accordance with the situation of the university. The results of the SWOT analysis which are then included in the TOWS Analysis Matrix will be an alternative strategy that can be considered for developing the university. However, due to limitations in implementing the alternatives referred to, it is necessary to apply a priority scale. This study aims to propose a SWOT-AHP-TOPSIS model so that it can help universities in determining which alternative strategic priorities will be chosen to be implemented in stages. The working method of this model is to first apply the Analytical Hierarchy Process (AHP) to obtain priority weights for each alternative for SO, WO, ST, and WT. Then the decision regarding which strategy to choose will be based on the TOPSIS method which is based on the choice on the closest distance to the Positive Ideal Solution and the farthest distance to the Negative Ideal Solution. This model will be applied at Universitas IBBI to determine the most suitable university development strategy. The novelty of this research is that there is no research that directly discusses SWOT analysis in university development and also strategies based on the TOWS Analysis Matrix and each of these strategies will be determined which one is the priority. The results of the study show that the most important thing to develop higher education based on the application of the model is to strengthen the network of cooperation with industry as graduates of users and also high schools as providers of prospective students.
Model of Determination of Cooperative Learning Techniques using AHP Method
Cooperative learning can accelerate knowledge transfer and social interaction between students. There are various cooperative learning techniques that can be used in the learning process. The determination of cooperative learning techniques needs to pay attention to the objectives to be achieved from the application of cooperative learning. In general, there are 5 goals to be achieved in cooperative learning, namely: Reward Interdependence, Task Interdependence, Individual Accountability, Teacher Imposed Structure, and Group Competition. Each cooperative learning technique will provide different results for each objective. Therefore, it is necessary to determine the weight of each goal properly so that later it can be considered which cooperative learning techniques can be used. One method that is very good in the process of determining the weight using a pairwise comparison matrix is the Analytical Hierarchy Process (AHP). The reason for using the AHP method is that the expert sometimes finds it difficult to directly assess which goals of cooperative learning should be prioritized and it will be more comfortable to provide an assessment in the form of comparisons between existing goals. The purpose of this study is to propose a model for determining cooperative learning techniques using the AHP method. The novelty of this research is to produce a model that can assist universities in determining the cooperative learning model that best suits their conditions. The results showed that the existence of this model can help the process of determining the type of cooperative learning based on priority cooperative learning goals. The results showed that the Jigsaw II method is the best cooperative learning technique.
P300 EEG SIGNAL CLASSIFICATION USING RNN FOR COGNITIVE RESPONSE DETECTION
P300-based EEG signals are a promising method for detecting brain responses to target and non-target stimuli. This study implements the Recurrent Neural Network (RNN) method to analyze and classify EEG signals recorded using a 19-channel EEG device based on the international 10–20 system standard. The preprocessing stage includes filtering to remove environmental noise and biological artifacts, followed by Independent Component Analysis (ICA) to ensure signal quality relevant for analysis. The results indicate that target stimuli produce higher P300 amplitudes and shorter latencies compared to non-target stimuli, with the Pz channel serving as the primary detection point. The RNN model achieved an average accuracy of 87.5%, precision of 88%, recall of 87.4%, and an F1-score of 87.7%. These findings confirm the reliability of RNN in capturing the temporal patterns of EEG signals and highlight its potential applications in neurotechnology, such as early detection of cognitive disorders and the development of neurofeedback systems.
Control of 2 Wheel Drive Mobile Robot Using Speech Recognition
In this paper, a design of 2 wheel drive (2WD) mobile robot that is controlled by using speech recognition is proposed. The mobile robot operates with a speech recognition module that can interpret a set of commands spoken by human. Based on the command received, the mobile robot makes a certain movement in its environment, as it is guided from a starting point to a destination point. Besides, the mobile robot is equipped with one ultrasonic sensor and two infrared sensors, so that it can avoid collision with objects in the surroundings. The constructed mobile robot fulfils the design objective successfully. The mobile robot is able to be triggered and to comprehend a set of commands. Thereafter, the commands are translated into rotation of the two in-wheel motors, so that the mobile robot can move forward, turn left, turn right, move backward, and stop. The mobile robot will stop moving forward if the sensors detect any obstacles, and it is to be directed to get around the obstacles. The mobile robot is effectual to carry objects with weight of 400 grams. The mobile robot is reckoned to be a model for next generation robots that assist human to transport objects in domestic and industrial activities.