Egar Pambudi, Atar Babgei, Mohamad Abdul Hady, Rudy Dikairono
{"title":"Nano Quadcopter for Autonomous Heat Source Detection","authors":"Egar Pambudi, Atar Babgei, Mohamad Abdul Hady, Rudy Dikairono","doi":"10.1109/ISITIA59021.2023.10221191","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221191","url":null,"abstract":"Nano quadcopters are increasingly being used for indoor inspections due to their small size and robustness. Recent advancements in thermal imaging technology have resulted in the development of small, cost-effective thermal sensor arrays that can be mounted on small robots, such as nano quadcopters. In this paper, we propose a nano quadcopter-based heat source detection system utilizing arrays of thermal sensors. Moreover, we present a cost-effective and portable system for detecting heat sources in indoor environments more efficiently. In this study, the AMG8833 sensor attached to the Crazyflie 2.1 platform is used to design the system. The sensor detects heat sources as input for an offboard heat detection system, which converts sensor input into quadcopter velocity. It directs the nano quadcopter’s flight towards the heat source and stops it within the decision limit. Series of experiments were conducted to validate the systems by detecting a single heat source at three distinct locations. Overall, the proposed system was able to successfully navigate and detect a single heat source at three locations, arriving at a predetermined distance of 35 cm with an RMSE of 15.29 cm.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133006293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of an Interactive Learning System Using a Wearable Sensor Glove to Help Special Needs Student","authors":"Athif Lanang Untoro, A. Arifin, E. A. Suprayitno","doi":"10.1109/ISITIA59021.2023.10221055","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221055","url":null,"abstract":"Children who are suffering from mental disabilities struggles to keep up with their studies, this then result in them being unable to learn the proper studies and left them in a disadvantageous position. Studies have shown that students with mental disabilities such as autism might still be able to follow basic studies more slowly. Some studies have indicated that children have far more greater responds to studies which include bright colors. The reason for this is because special needs children have low attention span. For this reason, an interactive learning system needs to be developed. This study will try to make an interactive learning system with a flex sensor. The interactive learning system will be made as a mobile application. This application will be made by using a software named MIT App Inventor. A multiple-choice question will be used in this study with interesting photos. To answer the multiple-choice question, a flex sensor which has been attached to glove, will be used to select the multiple-choice answer. The subject must bend their finger to pick the multiple-choice answer. Testing this assistive device with special needs children has yielded a satisfactory result, of the 12 questions displayed in the application, 7 multiple choice questions have been successfully answered correctly for the first subject and 8 multiple choice question have been successfully answered correctly for the second subject.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114217658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. S. Hanggara, Khairul Anam, D. Setiawan, Bambang Sujanarko
{"title":"Finger Movements Classification using Autonomous Transfer Learning","authors":"F. S. Hanggara, Khairul Anam, D. Setiawan, Bambang Sujanarko","doi":"10.1109/ISITIA59021.2023.10220438","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10220438","url":null,"abstract":"Misclassification resulting from data shifts is one of the difficulties in classification systems based on brain-computer interfaces. This may occur if the classification system does not consider distributional shifts between training and test sets of data. The performance of the qualification system in the EEG classification domain may significantly deteriorate because of inter-session trials. This article introduces autonomous transfer learning (ATL) in the pipeline for classifying finger movement based on EEG motor imagery. On same-session trials, the average accuracy of four subjects is 0.504, but on inter-session trials, it is slightly worse (0.475). Due to its simplicity, the suggested method also has the fastest processing speed and offers the opportunity to be used on edge devices where iterative training is not feasible.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134445568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information Systems for Remote Rehabilitation With Live Video Streaming Using A Pan Tilt Zoom Camera","authors":"Seno Aji Darmawan, A. Arifin, Norma Hermawan","doi":"10.1109/ISITIA59021.2023.10221109","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221109","url":null,"abstract":"Telemonitoring is a benefit to patients that who have trouble getting to a rehab center but requires regular check-up like elderly people, stroke patient, and others. This study suggests a way to track the progress of rehabilitation using live video streaming. We suggest using a camera that could move and zoom, which was a Pan Tilt Zoom (PTZ) camera. The purpose of using the PTZ camera is to give the doctor an advantage on monitoring their patient rehabilitation movement. By using the camera, doctors can analyze in more detail live or by seeing a record of the session and the patient can move more freely as the doctor can see the patient from a wider angle. The camera used was from Hikvision, and the computer we used had an installed software called webcomponentkit.exe. The outcome of this study was a website that helps in remote rehabilitation using a special camera that can be controlled and moved. Tests carried out on the information system include testing the system implementation environment, black box testing, QoS parameters, video recording memory, simulation of the use of FES and exoskeleton, and user experience testing. To improve current design, in future research the information system can be connected with other tele-rehabilitation features like FES rehabilitation equipment data, extra security protection for patient information and camera access, and compressed recorded video data.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"174 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133453920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimized Kinematic Control for a 3DOF Robot Manipulator","authors":"E. Susanto, S. Sumaryo, B. Rahmat","doi":"10.1109/ISITIA59021.2023.10221184","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221184","url":null,"abstract":"The robot manipulator can be built of several arms, with the joints between the arms (angle joints) attached to motor drives. In general, a robot manipulator has the task of adjusting the position of the end of the robot’s arm (often called the end effector) according to a certain trajectory, by rotating the motors at a certain calculated angle so that the end effector follows the intended trajectory. This paper aims to design the controller by optimizing the designed controller gains based on the kinematic model. The obtained controller gains proved to have a more optimal performance. To verify the proposed method, the performance is visually represented using Multibody and Simulink.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126148853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. T. Ciptaningtyas, K. Ghozali, Ridho Rahman Hariadi, R. W. Sholikah, M. Husni, I. Made, Dindra Setyadharma
{"title":"OpenStack Implementation using Multinode Deployment Method for Private Cloud Computing Infrastructure","authors":"H. T. Ciptaningtyas, K. Ghozali, Ridho Rahman Hariadi, R. W. Sholikah, M. Husni, I. Made, Dindra Setyadharma","doi":"10.1109/ISITIA59021.2023.10221042","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221042","url":null,"abstract":"The worldwide market for cloud computing alone is expected to reach $mathrm{US}{$}947.3$ billion by 2026. OpenStack technology creates opportunities to build private clouds. Department of Information Technology ITS creates its own private cloud using OpenStack and employs the multinode deployment mechanism developed by Kolla Ansible. The OpenStack implementation's results were evaluated by using the Phoronix Test Suite, Ethr, and Rally-Openstack tools to identify the correlation between instance computing performance and the number of running instances, as well as OpenStack service performance while generating instances and changing flavors. The results show that the CPU performance of each instance will decrease with an average decrease of 0.68 GFLOPS or 1.41% as the number of instances increases. The memory performance of each instance will decrease with an average reduction of 0.37 GBps or 4.46%. The duration of the instance creation is unaffected by the number of concurrent requests, with an increase of only 0.3 seconds. The number of simultaneous requests also affects the time of flavor changes. The duration of flavor changes can be up to 2 times (in 4 concurrent requests) from one concurrent request but experiences instability in 5 or more concurrent requests. The KYPO Cyber Range Platform successfully implemented a linear training demo by allocating one sandbox pool to run the training using Openstack resources of 10 vCPUs and 14.3 GB of memory.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130352044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation","authors":"D. Muriyatmoko, A. Djunaidy, A. Muklason","doi":"10.1109/ISITIA59021.2023.10221190","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221190","url":null,"abstract":"This research initially tried to investigate the integrated cross-domain combinatorial optimization problem (COP) based on a real-world problem using observation and interview methods. The integration problem arose from universities with different locations in the city regarding course timetabling and providing transportation services for faculty members. The study used design science research methodology and produced an artifact of an integration model of the University Course Timetabling Problem (UCTP) and Vehicle Routing Problem (VRP). The models were created based on objective functions, decision variables, and constraints. The use of this model can help improve productivity and reduce operational costs. Future research can implement this artifact in mathematical models and solve it using COP methods, such as linear programming, heuristics, and metaheuristics algorithm.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129095415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gusti Ngurah, Satriyadi Hernanda, D. Fahmi, D. Anton, Asfani, Arief Budi Ksatria, I. Made, Y. Negara, Bagus Septianto
{"title":"Voltage Output Characteristic of Solid-State Tesla Coil Based On Duty Cycle and Frequency Model","authors":"Gusti Ngurah, Satriyadi Hernanda, D. Fahmi, D. Anton, Asfani, Arief Budi Ksatria, I. Made, Y. Negara, Bagus Septianto","doi":"10.1109/ISITIA59021.2023.10221041","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221041","url":null,"abstract":"In In this study, a solid-state-based Tesla transformer circuit is modeled. The Tesla transformer is a resonance between RLCs. SSTC modeling can be a modern Tesla transformer model replacing the conventional Tesla transformer. The SSTC circuit uses PSIM simulation and then simulates the output waveform of a load without changing the output value of the SSTC. The results of the simulation will be analyzed using the FFT method. The FFT method will be used to see the frequency distribution of the SSTC results. The output wave spectrum can be seen from the variations that have been simulated. The FFT results show that interpretation of the duty cycle can produce a high dominance frequency. The frequency of the SSTC simulation will spread according to the modeling of the controller size that regulates the source voltage. SSTC can be represented using simulation. The role of SSTC can be used as a high-frequency high-voltage testing method. The design of the SSTC will be modeled using simulation.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"86 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128905041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Tuning for Power System Stabilizer using Arithmetic Optimizer Algorithm in Interconnected Two-Area Power System","authors":"Mohamad Almas Prakasa, I. Robandi","doi":"10.1109/ISITIA59021.2023.10221034","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221034","url":null,"abstract":"Metaheuristic algorithms have been executed to facilitate optimal tuning in modern power systems, including Power System Stabilizers (PSS). Recent-novel metaheuristic algorithms have unique and advanced exploration and exploitation processes, therefore it is expected to improve the optimal tuning approaches. This paper investigated the popular recent-novel metaheuristic algorithm, Arithmetic Optimizer Algorithm (AOA), in optimal tuning for the PSS2A-IEEE model in two-area interconnected power systems. AOA comes with simple and familiar operators and concepts alongside the trend of the recent-novel algorithm with the complex operator. AOA is compared with Harris Hawk Optimizer (HHO) and Equilibrium Optimizer (EO) to find the best optimal tuning for PSS. The algorithms are investigated in 30 runs within 100 iterations. Statistical assessments show that AOA can compete with HHO and EO in finding the minimum error based on overall performance indices. The convergence curve analysis shows that AOA has the best characteristics. The PSS2A-IEEE based on AOA can enhance the small-signal stability of two-area interconnected power systems with 37% to 38% overshoot reduction and 38% to 49% settling time reduction.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"107 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121032166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of MPPT Performance Between Firefly Algorithm and Particle Swarm Optimization for PV Systems in Partial Shading Conditions","authors":"Eva Jamiyanti, D. Setiawan, Bambang Sujanarko","doi":"10.1109/ISITIA59021.2023.10221133","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221133","url":null,"abstract":"In essence, the PV energy distributed directly to the demand is only sometimes in the optimal condition. If the irradiance or temperature received by the PV changes, this could result from a cloud obscuring the sun or other factors. Partial shading of PV can have a significant impact on its power output. Thus, the energy or power supplied to the burden varies, and even the produced energy may not be optimal. A particular control method is required for the most significant quantity of power. Maximum Power Point Tracking (MPPT) is a technique that can be utilized to optimize the PV energy output. Sadly, the practices employed to date are typically entangled in local peaks and extended periods of convergence. Particle Swarm Optimization (PSO) and Firefly Algorithm (FA) are two heuristic control methods that can address the shortcomings of earlier techniques. This paper describes the benefits and drawbacks of PSO and FA in monitoring optimum PV power under partial shading conditions. Simulation results indicate that the FA algorithm is more reliable than the PSO algorithm in monitoring, with a success rate of 98.9 and 99.7% and a failure rate of approximately 1.3%. In this instance, FA is 1.96 percent more effective than PSO. PSO is about 0.33% quicker at monitoring.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121134124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}