Jurnal Rekayasa Elektrika
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Design of IoT-based System for Smart Temporary Waste Shelter
Full text linkInternet of Things (IoT) is a concept where all products can interact with each other to help human activities by utilizing the internet. The IoT system can help solve problems such as the schedule-based retrieval system at a temporary shelter in Indonesia. This paper creates a web-based geographic information system along with the IoT-based waste temporary shelter prototype. The prototype also integrated with an Arduino Microcontroller so that it can sort the waste automatically into three types of waste, then record data in the form of height and weight, and send the results of the data to the database so that the geographic information system can display the results of the data. Node-RED serves as an Application Programming Interface (API) that sends data from the server to the database belonging to a web-based geographic information system. The results of the performance analysis are that the prototype has sorted waste well, and the system also produced good QoS by ETSI standards when looking at the network traffic from the MQTT server to the database, and from the end-user to the web. As for the QoE results for tools and systems have produced good results according to the ITU-T standard
Pemanfaatan Citra Satelit Google Earth untuk Penilaian Progres Pemulihan Lahan Pasca 15 Tahun Tsunami Aceh di Kecamatan Lhoong, Aceh Besar
Full text linkThe 2004 Indian Ocean Tsunami has changed the land cover of the affected areas. Sixteenth years after the tsunami, studies pertinent to land restoration progress are becoming crucial as one of the needs in assessing the progress of the long-term disaster recovery process. Spatio-temporal land change assessment in a disaster-affected area can be conducted using time-series satellite imagery. One of them is The Google Earth satellite image which has an adequate prior data record. Although it has a single band, the Google Earth satellite imagery has many other advantages: easy access, free of charge, and decent resolution for detailed mapping. This research aims to assess the progress of land restoration by utilizing Google Earth satellite imagery. The applied method is visual observation and on-screen digitization process by Google Earth Pro and QGIS. This study provides outcomes of the trend of land transformation after the tsunami, which shows that the rice fields and ponds have not recovered to the condition before the tsunami. Meanwhile, the length of the road and building area have exceeded the pre-tsunami time. The entire land uses show an increasing trend with varying percentages from 2010 to 2020. This research is essential to carry out as an initial assessment of the long-term recovery process, especially related to the livelihood conditions of survivors after the 15 years of the tsunami, which is monitored through land cover
Perancangan Aplikasi Web untuk Pemantauan dan Pengendalian Sistem Panel Surya Berbasis Long Range Wide Area Network (LoRaWAN)
Full text linkLight or sunlight can be converted into electricity using solar panel technology. The measurement process is needed on current and voltage parameters to determine whether a solar panel is working correctly or not. The application of the Internet of Things (IoT) is a suitable method for monitoring efficiency measurements on solar panel performance in real-time by combining several computational components, protocols, and sensors to interact more quickly and help all activities become more efficient. One IoT technology that can work efficiently is the Long Range Wide Area Network (LoRaWAN). LoRa communicates using radio frequencies with a wide coverage range and has a low power consumption level. In this study, the implementation of LoRaWAN technology as a communication protocol between three series of nodes and one gateway in building a solar panel system is then visualized on a web that can monitor currents and voltages in the form of graphs and numbers. Displays notifications when there is a change in the condition of the large voltage from the solar panel can control the state of turning on or off the lights and turning off the whole node, and displaying a history of current and voltage readings. The functionality of the system will later be tested using black-box testing. There was also a distribution of questionnaires to 35 respondents to measure the level of agreement that the system designed was running well
Sistem Navigasi Kursi Roda Elektrik untuk Pasien Penyandang Cacat Fisik Menggunakan Metode Convolutional Neural Network
Full text linkPatients with physical disabilities, such as losing a leg or experiencing paralysis, will have difficulty moving from one place to another. As a result, they need someone or a device that can help them to move. One that is often used by patients is a wheelchair. This study proposes an electric wheelchair navigation system that can be controlled by voice commands using the Convolutional Neural Network (CNN) method. CNN is used as the main method for identifying commands embedded on the Raspberry Pi microcontroller. The recorded voice data is then converted to spectrogram images before being fed to CNN. This method is proven to be better in voice command recognition with an accuracy of above 90%. There are five different voice commands: forward, backward, left, right, and stop. Preliminary experimental results indicate that the electric wheelchair is able to move according to the commands given
Parallel Balancing Battery using Adaptive Power Sharing and ANN SOC Estimator
Full text linkThe battery balancing method is commonly used in cell circuits and battery circuits to maintain the power continuity on the DC Bus. The power continuity on the DC Bus is guaranteed if the load continues to get a power source, even if either the battery or power supply malfunctions. Besides, the battery balancing method is also used to protect the battery from excessive charging current pliers flowing into the battery. Therefore, the State-of-Charge (SoC) should be concern in balancing the maintained battery condition on both systems and avoiding overcharging. Artificial Neural Network (ANN) is used in this paper to determine the value of battery SoC. Based on simulations using MATLAB 2018, SoC values with ANN showed accurate results with error values below 0.1%. Based on the simulation results, the two batteries, which are arranged to have a difference of SoC value of 0.3%, will achieve a balanced SoC value for 28.45 seconds from the simulation
Dynamic Bandwidth Allocation for Internet of Things System Using Elastic Wireless Local Area Network
Full text linkRapid technological development, triggering various applications development that are increasingly innovative. One of them is the Internet of Things (IoT) system that makes human works easier and more effective. Along with sensor technology development in monitoring and controlling through IoT systems, a mechanism is needed to manage bandwidth so that IoT system can function optimally, especially in buildings designated as public areas. Smart building supported by various integrated sensors to maintain safety and comfort in the area. This study proposes the application of Elastic WLAN as a model for dynamic bandwidth management in IoT systems. In this model, IoT bandwidth changes automatically according to the number of traffic measurements for each IoT connected to the network As an effort to determine the performance of the elastic WLAN mechanism, this study succeeded in developing a prototype IoT device that implements Elastic WLAN on an Access-Point Raspberry Pi by using two temperature sensors placed in separate locations. The system successfully allocates bandwidth to each IoT according to the amount of data input from each temperature sensor installed. The higher the amount of data captured by the sensor, the system will automatically allocate the higher bandwidth to the sensor system, and vice versa
Improved Performance of Trash Detection and Human Target Detection Systems using Robot Operating System (ROS)
Full text linkIn a visual-based real detection system using computer vision, the most important thing that must be considered is the computation time. In general, a detection system has a heavy algorithm that puts a strain on the performance of a computer system, especially if the computer has to handle two or more different detection processes. This paper presents an effort to improve the performance of the trash detection system and the target partner detection system of a trash bin robot with social interaction capabilities. The trash detection system uses a combination of the Haar Cascade algorithm, Histogram of Oriented Gradient (HOG) and Gray-Level Coocurrence Matrix (GLCM). Meanwhile, the target partner detection system uses a combination of Depth and Histogram of Oriented Gradient (HOG) algorithms. Robotic Operating System (ROS) is used to make each system in separate modules which aim to utilize all available computer system resources while reducing computation time. As a result, the performance obtained by using the ROS platform is a trash detection system capable of running at a speed of 7.003 fps. Meanwhile, the human target detection system is capable of running at a speed of 8,515 fps. In line with the increase in fps, the accuracy also increases to 77%, precision increases to 87,80%, recall increases to 82,75%, and F1-score increases to 85,20% in trash detection, and the human target detection system has also improved accuracy to 81%, %, precision increases to 91,46%, recall increases to 86,20%, and F1-score increases to 88,42%
Rancang Bangun Sistem Navigasi Robot Beroda Pemandu Disabilitas Netra Menggunakan Metode Waypoint
Full text linkRobotics has become a popular field of research for developing medical and human aids, including visually impaired people. This paper presents problem-solving of creating a robot that can guide visually impaired people outdoor using a Global Positioning System (GPS)-based navigation system with a waypoint method. This study uses Linkit ONE, which is equipped with a GPS as a determinant of the earths ordinate position, added with a compass module to determine the robots direction and a rotary encoder sensor to minimize the error of the robots position. There are two tests with four waypoints. Firstly, it is a test with no obstacles and holes. Secondly, it is the test with obstacles and holes. The first test results obtained an average error of waypoint-1 0.54 m(meters), waypoint-2 1.2 m, waypoint-3 1,9 m, and waypoint-4 1.7 m. Meanwhile, the second test results yielded an average error of waypoint-1 1.26 m, waypoint-2 2.18 m, waypoint-3 2.52 m, and waypoint-4 2,44 m. Therefore, the visual disability guidance robot with this waypoint method has good accuracy because the average error value of the robot is under a radius of 2 m when there are no obstacles and holes and under a radius of 3 m when there are obstacles and holes
Karakterisasi dari Properti Larutan Garam dengan Range Finder Ultrasonik Menggunakan Metode Transformasi Fourier
Full text linkIn this paper we characterize the saline solution using Range Finder Ultrasonic (RFU). RFU is one kind of ultrasonic transducer that requires air as a transmission medium and commonly are used to determine distances. The advantages of this transducer are cheap and common in local market. Since it uses air as medium, the signal which is produced by transducer are easy to shape shift and has a very long noise tail wave. This phenomenon was seen in previous studies, when the transducer position was slightly shifted, the shape of the echo signal became very different. In this paper, we modified the input signal from the technique in the previous paper to improve the echo signal. Some modification of trigger signal from transmitter models were done, then calculate the echo signal to ensure the signal have smallest Signal to Noise Ratio (SNR) and noise tail wave. Furthermore, we did filtering process from echo signal and calculating using Fourier Transform which are performed to obtain accurate echo signal information of 40 KHz frequency. The results of this experiment is an improvement in the average error of calibration curve 0.1224221 (Vrms) and 0.14383881 (Vpeak). While the average error of the results of the normalization of the magnitude Fourier Transform of 40 KHz frequency is equal to 0.096973114
