Jurnal Rekayasa Elektrika
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Performa Konfigurasi Modul Surya Seri dan Seri Paralel pada Kondisi Mismatch Karakteristik Arus-Tegangan (I-V) terhadap Daya Output
Full text linkThe installation of a Solar Power System (PLTS) within the ideal conditions still uses the type of solarmodule with the same current and voltage characteristics. However, these ideal conditions can be different if thecommonly used modules are no longer available on the market. Once there is damage or interference in the operatingsystem, such as cracks in the module plate, it will take a significantly long time to replace. This particular conditioncan obstruct electrical power distribution to its intended loads in the other end. Therefore, creating a robust solar panel system that operates at its maximum capacity requires an alternative or approach to find such a similarmodule replacement. It is expected that the replacement module will have the I-V characteristics, which relativelyresemble that of the earlier module and can help to maintain the energy availability of the solar panel system. Thisstudy aims to analyze which factors affect the characteristic irregularity of currents and voltages in a solar panelinstallation towards the output of a solar panel under certain conditions. The solar panel system is designed using 20 solar modules with each capacity is 250 WP power that is simulated with Simulink. The method creates the mismatchcondition of the current and voltage on the solar module in a specific panel configuration. These mismatch conditionsare created by combining solar modules with different currents and voltages in the Series (S) and Series-Parallel (SP)configurations. The simulation is carried out by replacing the main solar module with a 5% to 100% replacement solar module. The selection of the replacement module is based on Isc, which is close to the same because the currentflowing in the series circuit is the same. The simulation results showed that the solar panel system still functionedproperly and produced maximum power under mismatch conditions. Of all three configurations with mismatchconditions, it is found that the best performing configuration works with the Series-Parallel (SP) configuration of the STC conditions. The maximum power which can be sustained with Series-Parallel (SP) configuration reaches up to40% of the original modules
Sistem Keseimbangan Robot ERISA Pada Bidang Miring Menggunakan Kontrol PD dan Sensor Fusion
Full text linkThe world of robotics is currently developing; many robots are created to help humans work in carrying out daily activities. Various types of robots have been created, one of which is a type of robot that resembles a human body (humanoid). Humanoid robots are developing in many countries, including Indonesia. In its development, the walking technique is a major factor in making humanoid robots. Humanoid robots have the ability to walk like humans by balancing their body positions while walking, so they dont fall. In maintaining this balance, a tilt detection system for the robots position and a balancing system is needed when the robot is about to fall. So, to overcome this problem, implementation is carried out using the sensor fusion method at the output of the sensors that are used to minimize noise or interference with the sensor output value. The accuracy of the sensor output value on the position angle tilt detector can help the robot provide a balancing act. By implementing a PD control system and sensor fusion consisting of a Kalman filter and a complementary filter, the robot was successfully carried up and down the plane to a maximum slope of 12 .Dunia robotika saat ini tengah berkembang, banyak robot diciptakan untuk membantu pekerjaan manusia dalam melakukan kegiatan keseharian. Berbagai jenis robot telah diciptakan, salah satunya jenis robot menyerupai tubuh manusia (humanoid). Robot humanoid berkembang di banyak negara termasuk di Indonesia. Dalam pengembanganya, teknik berjalan merupakan faktor utama dalam pembuatan robot humanoid. Robot humanoid memiliki kemampuan berjalan layaknya manusia dengan menyeimbangkan posisi tubuh saat berjalan agar tidak terjatuh. Dalam menjaga keseimbangan tersebut, diperlukan sistem pendeteksi kemiringan posisi robot dan sistem penyeimbang saat robot akan jatuh. Maka untuk mengatasi permasalahan tersebut, dilakukan implementasi dengan menggunakan metode sensor fusion pada keluaran sensor-sensor yang digunakan dalam meminimalisir noise atau gangguan nilai keluaran sensor. Sehingga keakurasian nilai keluaran sensor pada pendeteksi kemiringan sudut posisi dapat membantu robot dalam memberikan aksi penyeimbangan. Dengan mengimplementasikan sistem kontrol PD dan sensor fusion yang terdiri dari Kalman filter dan complementary filter, robot berhasil dijalankan menaiki dan menuruni bidang hingga kemiringan maksimal 12
Sistem Navigasi Automated Guided Vehicle Berbasis Computer Vision dan Implementasi pada Raspberry Pi
Full text linkIn the current technological development era, many companies compete to produce robots that can help humans work significantly to streamline time and energy in creating an item. One of the robots being developed in this industrial area is Automated Guided Vehicle (AGV). AGV is a robot for transporting goods whose path and direction automatically. This journal will discuss the navigation system and mobility on the AGV. They are using four-wheel type Omni wheels and a DC motor as a drive. The wheel is used to adjust the direction of motion both forward, backward, right, and left. For movement settings automatically, controlled via computer vision. Using the navigation system by following a pattern in the form of instructions using the camera as a sensor to determine the current AGV. Due to the nature of the navigation method employed, the yield of vehicle trails can be very suboptimal, especially in messy warehousing environments
Desain Camouflage Tower di Kawasan Kota Baru Parahyangan Padalarang-Bandung
Full text linkKota Baru Parahyangan residential area, located in Padalarang sub-district of Bandung, has the quality and coverage of 3G and 4G cellular services that are not optimal, thus it has become a complaint of customers to the cellular providers. Therefore in this article a camouflage tower or Outdoor Distributed Antenna System (ODAS) is designed, which is a unique concept that helps in prividing connectivity in location where conventional tower construction is not permitted due to various regulations. This camouflage tower design aims to increase the number of cellular antennas but with minimal costs, land and human resources. In addition, this camouflage tower design has a high aesthetic value to be implemented in these elite residential areas. From the design and implementation results for 4G, the Reference Signal Received Power (RSRP) value is 70% at a value -90 dBm and Signal-to-Interference Noise Ratio (SINR) 70% at a value 5 dB according to the Key Performance Indicator (KPI) provider standard, while for 3G the Received Signal Code Power (RSCP) value is 70% at a value -78 dBm and Ec / No -12 dB. This shows that the quality and coverage both of 3G and 4G cellular services in this region have reached the target cellular providers
Sistem Kendali dan Monitoring Cairan Infus pada Proses Tatalaksana Dehidrasi Berbasis IoT
Full text linkDiarrhea is an endemic disease with Potential Extraordinary Events (PEE), often accompanied by death in Indonesia. Globally, at least diarrheal disease has caused 525,000 deaths in children each year, with the most severe threat being dehydration. It takes a system that can determine the degree of dehydration and manage dehydration quickly and appropriately to reduce the mortality rate. This study created a system to assess the degree of dehydration and perform the dehydration management process automatically. The method of determining the degree of dehydration using heart rate parameters and the process of justification is measured physical condition. In the process of dehydration management, intravenous fluid administration is carried out automatically using servo motors. To improve safety in infusion users, infusion volume, flow obstruction, air bubble, and rising blood detection are also carried out. All results will be processed on the microcontroller and will be sent to the ESP32 via serial communication. The data processing results will be connected using the Internet of Things so medical personnel can monitor via the website. The results showed that the average error of heart rate measurement using the moving average method of 0.41%, and the accuracy value in the infusion control system reached 90%.Diarrhea is an endemic disease with Potential Extraordinary Events (PEE), which often accompanied by death in Indonesia. Globally, at least diarrheal disease has caused 525,000 deaths in children each year, with the most severe threat being dehydration. It takes a system that can determine the degree of dehydration and perform management of dehydration quickly and appropriately to reduce the mortality rate. This study created system to determine degree of dehydration and perform dehydration management process automatically. The process of determining the degree of dehydration using parameters of heart rate and the process of justification is carried out measurement of physical condition. The process of dehydration management, intravenous fluid administration is carried out automatically using servo motors. To improve safety in infusion users, infusion volume, flow obstruction, air bubble, and rising blood detection are also carried out. All results will be processed on the microcontroller and will be sent to the ESP32 via serial communication. The results of data processing will be connected using the Internet of Things so medical personnel can monitor via website. The results showed that average error of heart rate measurement using moving average method of 0.41% and the accuracy value in infusion control system reached 90%
Abnormal ECG Classification using Empirical Mode Decomposition and Entropy
Full text linkHeart disease is one of the leading causes of death in the world. Early detection followed by therapy is one of the efforts to reduce the mortality rate of this disease. One of the leading medical instruments for diagnosing heart disorders is the electrocardiogram (ECG). The shape of the ECG signal represents normal or abnormal heart conditions. Some of the most common heart defects are atrial fibrillation and left bundle branch block. Detection or classification can be difficult if performed visually. Therefore in this study, we propose a method for the automatic classification of ECG signals. This method generally consists of feature extraction and classification. The feature extraction used is based on information theory, namely Fuzzy entropy and Shannon entropy, which is calculated on the decomposed signal. The simulated ECG signals are of three types: normal sinus rhythm, atrial fibrillation, and left bundle branch block. Support vector machine and k-Nearest Neighbor algorithms were employed for the validation performance of the proposed method. From the test results obtained, the highest accuracy is 81.1%. With specificity and sensitivity of 79.4% and 89.8%, respectively. It is hoped that this proposed method can be further developed to assist clinical diagnosis
Comparison of Neural Network Methods for Classification of Banana Varieties (Musa paradiasaca)
Full text linkEvery region in Indonesia has a very large diversity of banana species, but no system records information about the characteristics of banana varieties. The purpose of this research is to make an encyclopedia of banana types that can be used for learning by classifying banana varieties using banana images. This banana variety classification system uses image processing techniques and artificial neural network methods as classification methods.The varieties of bananas used are pisang merah, pisang pisang mas kirana, pisang klutuk, pisang raja and pisang cavendis. The parameters used are color features (Red, Green, and Blue) and shape features (area, perimeter, diameter, and length of fruit). The intelligent system used is the Backpropagation method and the Radial Basis Function Neural Network. The results showed that both methods were able to classify banana varieties with an accuracy rate of 98% for Backpropagation and 100% for the Radial Basis Function Neural Network
Pengenalan Pola Berbasis OCR untuk Pengambilan Data Bursa Saham
Full text linkThe investor must be able to use instinct to evaluate when to sell and buy stocks. This is, of fact, a weakness for inexperienced investors, in addition to the decision's inaccuracy and the time it takes to evaluate a slew of ineffective results. So that, a support system is needed to help the investors make decisions in buying and selling shares. This support system creates an online analysis curve display through text data in the BEI stock price application. The data processing based on pattern recognition will be carried out so that a buying and selling decision can be made to calculate the profit and loss by investors. As the first step of the whole system, this research has built an image-to-text conversion system based on OCR (Optical Character Recognition) that can convert the non-editable text (.jpg) to be editable (.text) online. After obtaining this .text data, the will used the system in further research to analyze stock buying and selling decisions. According to research on eight companies, the OCR-based image to text conversion has a 96.8% accuracy rate. Meanwhile, using Droid serif, Takao PGhotic, and Waree fonts at 12pt font sizes, it has 100 percent accuracy in Libre Office.Investors in buying and selling shares must analyze when to sell and buy stocks based on instinct. For novice investors, this is a weakness in addition to the inaccuracy of the decision and the time it takes to analyze some ineffective data. This study proposes a solution utilizing OCR (Optical Character Recognition) technology that can convert non-editable text to editable text and allow it to be done online. The application of OCR in this research is to take the text on the IDX stock price data chart so that data processing can be carried out with the principle of recognition patterns so that a buying and selling decision can be calculated by investors predicting stock price fluctuations. The eight companies' testing results for the OCR-based image-to-text conversion obtained 96.8% accuracy. Meanwhile, for testing at the libre office, it has 100% accuracy using the Droid serif, Takao PGhotic, and Waree fonts
Analisis Performa Bluetooth pada Sistem Alarm Pengingat Barang yang Tertinggal dengan Smartphone Android
Full text linkSomeone sometimes forgets to put their belongings so that they leave them somewhere, it will pose a risk of losing their belongings. To solve this problem, a reminder is needed so that it is expected to minimize the risk of loss. This device implements point-to-point communication from the Bluetooth Low Energy AT-09 transmitter module with Arduino Nano and the receiver module with an Android smartphone. This reminder device will activate an alarm on the Android smartphone application when the two modules are more than 5 meters away. The measured distance is converted from the Received Signal Strength Indicator (RSSI) value received by the smartphone which is affected by obstructions, packet loss, and delay. Based on the test results, at a distance of 5 meters, the system can be connected and work properly, in unobstructed conditions (Line of Sight) or obstructed conditions (Non-Line of Sight). In the blocked condition, it has a packet loss of 1.1% to 4.4%, the received signal strength (RSSI) has decreased the value to a difference of -8 dBm, and the delay time is 2 seconds.Seseorang terkadang lupa meletakkan barang bawaannya sehingga tertinggal suatu tempat, hal itu akan menimbulkan resiko kehilangan barang. Untuk mengatasi permasalahan tersebut, maka dibutuhkan sebuah perangkat reminder (pengingat) sehingga diharapkan dapat meminimalisir resiko kehilangan. Perangkat ini menerapkan komunikasi point to point dari modul pemancar Bluetooth Low Energy AT-09 dengan arduino nano dan modul penerima dengan smartphone Android. Perangkat reminder ini akan mengaktifkan alarm pada aplikasi smartphone Android saat kedua modul berjarak lebih dari 5 meter. Jarak yang terukur dikonversi dari nilai Received Signal Strength Indicator (RSSI) yang diterima oleh smartphone yang dipengaruhi oleh penghalang, packet loss, dan delay. Berdasarkan hasil pengujian, pada jarak 5 meter sistem dapat terhubung dan bekerja dengan baik, dalam kondisi tidak terhalang (Line of Sight) maupun kondisi terhalang ( Non Line ofSight). Pada kondisi terhalang memiliki packet loss sebesar 1,1% sampai dengan 4,4%, kuat sinyal yang diterima (RSSI) mengalami penurunan nilai mencapai selisih -8, dan waktu delay 2 detik
Perbandingan Antara Domain Waktu dan Frekuensi untuk Pengenalan Sinyal EMG
Full text linkOne way to recognize hand gestures is to use signal electromyography (EMG). The processed signal can use the time domain, frequency domain, or a mixture of the two domains. Meanwhile, the classification method that is widely used recently is the classification of Artificial Neural Networks (ANN). This paper presents a comparison study between time domains with frequency domain for EMG signals using ANN classification. This comparison aims to find out a better method for controlling the hand robot. The time domain features are root mean square (RMS) of the signal, while the signals octave band becomes a feature of the frequency domain. The EMG signals were obtained from the subject with eight fingers gestures. The results of this classification are used to control the robots hand. The success of each method in recognizing hand movements was counted. In addition, the response speed of the robot in changing positions is measured. The results showed that features using the frequency domain had a higher percentage of success than another domain. But the speed and memory used then the system using signals in the time domain is better