Jurnal Nasional Teknik Elektro
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Real-Time Accident Detection Using KNN Algorithm to Support IoT-based Smart City
Get PDFSurabaya is a city with an area of 326.81 km2 and is the center of land transportation in the eastern part of Java Island. The construction of digital infrastructure in the Surabaya area will make it easier for the City Government to make efficient services. Traffic accidents that occurred in Surabaya until 2017 recorded 1,365 incidents. EVAN (Emergency Vehicle Automatic Notification) is a research topic that focuses on the field of transportation, especially in real-time traffic accidents which can be integrated with city information centers and hospitals for primary assistance in accidents. The purpose of this research is to make it easier for the Surabaya city government to provide first aid in the event of an accident. The design of the device on the user side is made using the Arduino, the accelerometer sensor and the gyroscope in the form of the MPU6050 sensor and the u-blox gps module. Crash detection on the system using the k-Nearest neighbors algorithm (KNN). On the operator side, the design is done on a web basis by utilizing the ReactJs framework which is integrated with the Google Maps APIs. The results of the accuracy of the accident detection system reached 97% and the detection of accident locations and the nearest hospital from the location reached 100%. Thus, real-time accident detection can be implemented in Surabaya city to support the smart city
Design and Simulation of a Multistages Common-Emitter, Common-Collector, AC Voltage Amplifier
Get PDFThe main function of the ampifier is to increase the signal strength, in terms of its voltage or current. In this research, a multistages ac voltage common-emitter amplifer and common-collector amplifier with a single supply of +15 V was designed. The objective is to design an amplifier for amplifying a small ac signal from a transducer. The transducer has an output impedance of 10 k. The amplifier will have a small-signal gain in order of about 1500 and a small-signal bandwith ranging from 100 Hz to 20 kHz. It will drive a load of 300 Ω. The entire circuit consists of a first stage common-emitter configuration gain amplifier, another second stage common-emitter configuration gain amplifier, and a third stage buffer unity gain common collector amplifier. The three-stages was capacitor coupled. The overall gain of the entire amplifier is the product of the first-stage gain, the second-stage gain, and the third-stage gain. A method called short-circuit time constants was used to determine the apropriate coupling and bypass capacitors. The overall circuit was then simulated by using NI Multisim. The magnitude of the overall gain of the circuit was obtained by performing an interactive analysis and simulation. The frequency response of the amplifier was obtained by performing an AC sweep analyses and simulation. It can be showed that the amplifier’s overall gain obtained from simulation is in agreement with the calculated results. The simulated result for the frequency responses were also in agreement with the requiremen
An Automatic Wind Turbine Braking System on PLTH Bayu Baru through a Fuzzy Logic Controller
Get PDFPLTH Bayu Baru is one of the hybrid power plants (HPP) located in Baru beach, Pandansimo, Bantul, Yogyakarta, Indonesia. It generates electrical energy from two sources, wind and solar energy. However, a problem is encountered regarding wind turbine mechanics due to using a manual switch for braking during periods of excessive wind speed. This study proposes an automatic wind turbine braking system through a utilized fuzzy logic controller (FLC) for the PLTH Bayu Baru application. The Mamdani type FLC without complex mathematical models is applied to the Arduino Uno development board to realize the proposed systems. The error (Error_V) and delta error (dError_V) values from the generator voltage sensor become the input of the proposed systems, while the pulse width modulation (PWM) becomes the output for controlling the on/off period of the MOSFET as switching devices. The proposed systems have been tested on a micro-scale wind turbine with PMSG 12V/400W type. From the testing results, the proposed system successfully braked automatically at the point wherein the generator voltage exceeds the setpoint value. Also, the proposed system keeps the generator voltage less than 13.8V, so the problem caused by excessive speed can be resolved
The Navigasi dan Formasi Kawanan Robot Menggunakan Sistem Pemosisian Lokal dengan Sumberdaya Rendah: Sistem Pemosisian didalam ruangan
No full textThis paper discussed the method of navigation and robot formation in a swarm using the Local Positioning System (LPS) which was applied to the mobile robot's differential steering platform. Navigation and formation of robots in swarm robotics could run well because of the presence of robot position coordinates. In the outdoor application of coordinates, the position of the robot could be obtained easily using the Global Positioning System (GPS), but GPS had drawbacks in indoor applications. In indoor use, signals from satellites were difficult to obtain and inaccurate for use with relatively short distances. In coordinate research, positioning used LPS which was built using Bluetooth Low Energy (BLE). LPS with BLE was successfully built with simple resources and at a low price but had optimal performance. The LPS accuracy built with BLE and the regression algorithm had an error of 4.33% on the X-axis, and 2.67% on the Y-axis. The robot formation utilized a combination of proximity sensors and position coordinates obtained from LPS. The proximity sensor served to detect obstacles that hold the robot towards a predetermined target. The combination of navigation algorithms and swarm formation robotics was proven to be faster at finding targets compared to a single robot.Makalah ini membahas tentang metode navigasi dan pembentukan formasi robot secara berkelompok dengan menggunakan Local Positioning System (LPS) yang diterapkan pada platform mobile robot kemudi diferensial. Navigasi dan formasi robot dalam swarm robotics dapat berjalan dengan baik karena adanya koordinat posisi robot. Pada aplikasi koordinat outdoor, posisi robot dapat diperoleh dengan mudah menggunakan Global Positioning System (GPS), namun GPS memiliki kekurangan pada aplikasi indoor. Dalam penggunaan di dalam ruangan, sinyal dari satelit sulit diperoleh dan tidak akurat untuk digunakan dengan jarak yang relatif pendek. Dalam penelitian koordinat, penentuan posisi menggunakan LPS yang dibangun menggunakan Bluetooth Low Energy (BLE). LPS dengan BLE berhasil dibangun dengan sumber daya yang sederhana dan dengan harga yang murah namun memiliki kinerja yang optimal. Akurasi LPS yang dibangun dengan BLE dan algoritma regresi memiliki error sebesar 4,33% pada sumbu X, dan 2,67% pada sumbu Y. Formasi robot memanfaatkan kombinasi sensor jarak dan koordinat posisi yang diperoleh dari LPS. Sensor proximity berfungsi untuk mendeteksi halangan yang menahan robot menuju target yang telah ditentukan. Kombinasi algoritma navigasi dan formasi kawanan robot terbukti lebih cepat dalam menemukan target dibandingkan dengan robot tunggal
Unmanned Aerial Vehicle Robot untuk Pemadam Api dengan Rancangan Alat Pemadam yang Efisien
Get PDFWhen firefighters extinguish a fire there are certain points that are difficult to pass, while the speed of extinguishing the fire is important. Therefore, the existence of a UAV (Unmanned Aerial Vehicle) that can easily reach the area is very important to help the firefighters. Then the extinguisher used to extinguish must also be specially designed because the ability to carry the robot's UAV (Unmanned Aerial Vehicle) is limited. The flying robot UAV (Unmanned Aerial Vehicle) design used is a multicopter robot. Multicopter which is designed to have 6 propellers. Specially designed extinguisher is also designed to be able to extinguish the fire efficiently with the designed multicopter. The extinguisher is designed in the form of an inverted umbrella with the fabric of the umbrella using a fire extinguisher or a fire-resistant cloth. With this system design, the robot UAV is very efficient to use to extinguish fire in the form of a multicopter. The extinguisher designed has succeeded 100% in extinguishing the fire with an average time of 5 seconds, while when using water the fire is extinguished in an average time of 37.5 seconds. Keywords : UAV, Robot, Fire fighting,Mmulticopter, Extinguisher.AbstrakPada saat petugas pemadam api melakukan pemadaman api terdapat beberapa titik tertentu yang sulit dilalui, sedangkan kecepatan dalam pemadaman adalah yang penting. Oleh sebab itu adanya UAV (Unmanned Aerial Vehicle) yang dapat dengan mudah menjangkau daerah tersebut sangatlah penting untuk membantu para pemadam. Kemudian alat pemadam yang digunakan untuk memadamkan juga harus dirancang khusus karena kemampuan angkut UAV (Unmanned Aerial Vehicle) robot terbatas. Desain UAV (Unmanned Aerial Vehicle) robot terbang yang digunakan adalah berbentuk multicopter robot. Multicopter yang didesain memiliki 6 baling-baling. Kemudan alat pemadam yang dirancang juga dirancang khusus agar dapat memadamkan api dengan efisien dengan multicopter yang telah didesain. Alat pemadam yang dirancang berupa payung terbalik yang bagian kaiin payung menggunakan kain pemadam atau kain tahan api yang biasa digunakan untuk memadamkan api. Dengan desain sistem tersebut maka UAV robot sangat efisien digunakan untuk memadamkan api dalam bentuk multicopter. Alat pemadam yang dirancang telah berhasil 100% memadamkan api dengan rata-rata waktu 5 detik, sedangkan bila menggunakan air maka api padam dalam waktu rata-rata 37.5 detik.Kata Kunci : UAV, Robot, Pemadam kebakaran, Multicopter, Alat pemadam
Parallel Parking System Design with Fuzzy Logic Control
Get PDFThe difficulty with parallel parking, especially when going backwards is when adjusting the steering wheel so that the car can park in the right direction. Based on these problems, this study aims to design an automatic parking system. To improve parking success, a trajectory tracking system with fuzzy logic control will be implemented on a 1/7.5 scale test car. The coordinates obtained from the bicycle kinematic model are compared with the design trajectory. The difference between the facing direction read by the gyroscope sensor and the trajectory design is processed using a fuzzy logic controller to direct the servo motor as the steering wheel. The test results obtained that the error value for the position and direction facing in the automatic parking test using fuzzy logic control is 1.25cm and 1.59°.Keywords: Trajectory tracking, gyroscope, fuzzy logic control, parallel parkin
A Robust Scheme for Coherency Detection in Power Systems
Get PDFThis paper presents an approach for online generator coherency identification based on windowed dynamic time warping (DTW). Generator rotor speed deviations measured by phasor measurement units (PMUs) are used as input data to compute a DTW dissimilarity matrix. Using the dissimilarity matrix together with Agglomerative Hierarchical Clustering (AHC) and Hubert-Levin index (C-index), generators are optimally grouped into coherent clusters. In addition to the clustering of generators, an index for characterizing the transmission delay of a Wide Area Measurement System (WAMS) is presented. A data delay factor that can indicate whether there is an inconsistent PMU data transmission delay is also proposed. The coherency identification technique and indices were tested using simulations carried out on the IEEE 39-bus system. The test results indicate that the proposed scheme accurately clusters generators into coherent groups. The suggested indices were also found to be valid. Keywords : coherence identification, dynamic time warping, speed deviation, phasor measurement unit, dissimilarity matri
Identify and Locating the Faults in the Photovoltaic Array Using Neural Network
Get PDFIn making the PV array system work optimally without a hitch, it is important to recognize and know where the fault occurs. The current and voltage represent the conditions of a PV array, so that, in this paper, the proposed method is based on the current and voltage values for each string, four identified conditions, namely free fault conditions, partial shading, short circuit and open circuit. Neural network is used as a tool for predicting the type and location of faults, fault samples are obtained from simulations through PSIM and the learning process is carried out through MATLAB/Simulink, the algorithms used in the learning process are also compared to see which are the best. As a result, neural network was able to identify the type and location of faults on the PV array. This proves that the condition of a PV array can be explained through its voltage and current values.Keyword: PV array, partial shading, short circuit, open circuit, neural networ
Electrocardiogram Abnormal Classification Based on Abnormality Signal Feature
Get PDFHeart rate abnormalities can lead to many cardiovascular diseases such as heart arrythmia, heart failure, heart valve disease and many more. Some cardiovascular disease can cause death. Abnormalities signal feature can be seen using electrocardiogram. Electrocardiogram is an electric signal record from heart activity. Normal heart and abnormal heart have a different electrocardiogram signal pattern. This research is aim to detect abnormality from heart rate using electrocardiogram abnormality signal feature. Abnormality signal pattern can be used to classify normal and abnormal heart rate. Abnormality feature consists of P signal condition, R signal condition, P – R interval rate, and double R interval. Electrocardiogram data that used in this study is obtain from MIT-BIH Arrythmia database. 20 electrocardiogram data have been used to see detection and classification performance while classifying normal and abnormal heart rate. Research result shows that feature based has 90.00% in accuracy, 90.00%in precision, and 90.00% in sensitivity while classify normal and abnormal heart rate. Research result can conclude that abnormality feature can be used to classify normal and abnormal heart rate. This method can be used for embedded system device that has limitation in memory and size
The Reconfiguration of Network at 20 kV Distribution System Nagan Raya Substation with the Addition of the Krueng Isep Hydroelectric Power Plant
Get PDFSwitching substations are usually supplied from one express feeder which can cause a low level of reliability due to disruption or outage on the express feeder. Also, the lack of power supply at the ends of the network causes voltage drops. One way to solve this problem is to reconfigure the network. In this study, testing was carried out on a distribution system in the Nagan Raya Regency, namely the distribution system of PT. PLN (Persero) ULP Jeuram originally had a radial system. Furthermore, the distribution system was reconfigured with the Krueng Isep hydroelectric power plant which was included in the PLN ULP Jeuram grid so that the system that was originally radial became a loop configuration. The method used in analyzing the network reconfiguration process is to use the ETAP 12.6 application. As a result, after reconfiguring the network the voltage increased from 19.2 kV to 20.7 kV, the highest increase was at the Beutong Substation which reached 1.5 kV and decreased power losses in the network with a total of 188.2 kW and 263.1 kVAR. Furthermore, before the network reconfiguration, ULP Jeuram SAIFI value was 22.25 times/customers and SAIDI values 1337.74 minutes/ customers. However, after reconfiguring the network, ULP Jeuram SAIFI value fell to 15.39 times/customers and SAIDI to 945.6 minutes/customers, resulting in an increase in system reliability by 70.69%.Keyword: Reconfiguration of network, distribution system, hydroelectric power plant, SAIDI, SAIFI