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Elektrika
Published by Universitas Semarang
ISSN : 20850565     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Jurnal eLEKTRIKA diterbitkan oleh Jurusan Teknik Elektro, Fakultas Teknik, Universitas Semarang sejak tahun 2009, dan terakreditasi oleh Kementerian Ristekdikti pada tanggal 29 Januari 2009, dengan No. ISSN 2085-0565. Jurnal eLEKTRIKA adalah jurnal open akses dengan pelibatan mitra bebestari (peer-reviewed yang terbit dua kali dalam setahun, Maret dan Oktober.
Arjuna Subject : -
Articles 117 Documents
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Penentuan Kelayakan Tahanan Isolasi Pada Transformator 60 MVA Di Gardu Induk 150 kV Tegal Dengan Menggunakan Indeks Polarisasi, Tangen Delta, Dan Breakdown Voltage Muhamad Firdaus Robbani; Dedi Nugroho; Gunawan Gunawan
Elektrika Vol. 12 No. 2 (2020): Oktober 2020
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v12i2.2721

Abstract

A power transformer is electrical power equipment that works to transmit power or electrical power from high voltage to low voltage or on the contrary. In the operation of distributing electricity, the transformer can be said to be the heart of transmission and distribution. In this condition, a transformer is expected to operate optimally according to its function.. If the isolation state of the transformer deteriorates, it can have an impact on operating failure and the most fatal of which is that the transformer is damaged which can cause disturbances in the electrical system. To overcome this, it is necessary to analyze the isolation resistance.This study analyzes the isolation resistance on a transformer using the polarization index, tangent delta and oil breakdown voltage methods to determine the quality of the isolation on the transformer. This study took data at the 150 Kv substation Tegal. The data used include polarization index test data, tangent delta data, bottom oil breakdown voltage test data, and OLTC oil. After the data is obtained, then calculations and analyzes are carried out to obtain accurate results.The test results at the 150 Kv substation Tegal showed the polarization index value with the lowest IP of 1.26 in the primary-ground section and the highest IP of 1.97 in the primary-secondary section is still in good condition. The results of the tangent delta test are still in good condition, only in the CHT mode experienced a negative delta tan deterioration of 0.07%. The result of the average oil test is still suitable for use with 69.9 Kv of bottom oil and 53.3 Kv of OLTC oil.
Optimasi Kualitas Jaringan WLAN Berdasarkan Coverage Area dan Jumlah Pengguna di Fakultas Teknologi Industri UNISSULA Destra Kurniatama Jatmiko; Budi Pramono Jati; Jenny Putri Hapsari
Elektrika Vol. 13 No. 1 (2021): April 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i1.2989

Abstract

WLAN is a wireless telecommunications network in the process of distributing data or information. This network is easier and economical to build because without having to do the design of cable lines and no need for cables as devices. In the main building of the Faculty of Industrial Technology UNISSULA already has a WLAN network, but there are blankspots in several areas. The layout and number of Access Points (AP) greatly affect the quality of the WLAN signal, besides the number of users. Optimization is done by comparing the number of AP exiting with the number of APs based on the coverage area and number of users. The parameters used for network quality are signal strength more than -75 dBm and Signal to Noise Ratio (SNR) of more than 25 dB. Retrieval of existing network quality data with walktest method using the Ekahau Site Survey software. The quality of signal strength and SNR based on the coverage area is calculated using the COST 231 Multiwall method, while those based on the number of users are calculated using the ratio of Airtime per Device (APD) to Number of Device (NoD). The next step, simulating the AP layout using the Ekahau Site Survey software. The research concluded that each floor only requires 2 pieces AP. The percentage value of signal strength> -75 dBm after optimization is 86%, 89.8%, and 87.4% for floors 1, 2, and 3 respectively. While the SNR percentage values> 25 dB after optimization are 81.1%, 86.3%, and 84.5% for floors 1, 2, and 3 respectively.  
Pengenalan Pola Lintasan Berbasis Neural Network Pada Prototype Self-Driving Car Leonardo Rudolf Manangka; Herwin Suprijono; Dedi Nurcipto
Elektrika Vol. 12 No. 2 (2020): Oktober 2020
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v12i2.2732

Abstract

Self driving cars are an interesting topic to discuss due to the high level of traffic accidents that occur due to human error. Self driving cars are vehicles that can find out about the environment with minimal human intervention. Self driving itself has many development methods such as Light Detection and Ranging (LIDAR), cameras, radars, or a combination of these sensors. This study made a prototype self-driving car using a camera as a sensor and a neural network algorithm for pattern recognition. The pattern recognition in question is the image recognition of the path taken. The data that has been taken will later be converted into a matrix with dimensions of 320x120 according to the image resolution. Then the data will be trained to recognize the path pattern with the proportion of 7: 3 for training accuracy and validation accuracy. The resulting prediction has an accuracy of 76.86% for training accuracy and 75.24% for validation accuracy.
Rancang Bangun Acrylic Engraver and Cutting Machine Menggunakan CNC Milling 3 Axis Berbasis Mikrokontroler Iklil Vurqon Choirony; Mohammad Slamed Hariyanto; Miftachul Ulum; Achmad Ubaidillah; Haryanto Haryanto; Riza Alfita
Elektrika Vol. 13 No. 1 (2021): April 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i1.3071

Abstract

The purpose of this research is to design and implement an automatic acrylic carving and cutting tool using a microcontroller-based 3-axis CNC machine. Computer Numerical Control (CNC) is a machine technology that is operated automatically to support the demand for a product that has a complex shape and high accuracy. In general, the construction of a 3-axis CNC machine and its working system is synchronization between the computer and its mechanics. This tool has a work process by utilizing the G-Code method as a command on the machine to carry out engraving and cutting automatically. The G-code was obtained from a previously designed image and then converted using the Aspire 9.0 software. Engraving and cutting is done by sending the G-code file to the microcontroller via the Universal G-code Sender software, then the microcontroller sends a signal to drive the motor driver which then drives the stepper motor so that the actuator movement is generated according to the image in the G-code file. Simultaneously the spindle motor will be active to engrave or cut acrylic. In this study, a trial scenario was carried out to determine the precision and accuracy of the tool, namely by engraving and cutting flat shapes such as squares, circles, triangles and segments. The percentage of success generated from this tool is 97,08% to 100%. Furthermore, testing is carried out to make products in the form of engraving writing, logos and calligraphy. Apart from that, we also tested cutting letters and key chains. When the test is carried out, the accuracy level is 1mm.  
Deteksi Kualitas Kuning Telur Ayam Kampung Menggunakan Ekstraksi Ciri Secara Statistika Orde Satu Berbasis Logika Fuzzy Muhammad Sipan; Rony Kartika Pramuyanti
Elektrika Vol. 12 No. 2 (2020): Oktober 2020
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v12i2.2783

Abstract

Chicken eggs have become a basic necessity for Indonesians, both for personal consumption and for business purposes. Eggs that are good or quality can be seen based on the yolk. Both those who are only a day old a week or more than two weeks or those that are not suitable for consumption.Quality egg yolks appear brighter in yellow and there are no stripes or other colors and markings in the yolk. Eggs. From this, the author tries to do research on the detection of quality detection of native chicken egg yolk using Order One Statistical Extraction based on Fuzzy Logic. Feature extraction The first order egg yolk image in this study uses various features, namely variance, skewness, cartulation, entropy and mean. Texture measurements in the first order use statistical calculations based on the original image pixel value for the sole purpose of finding the histogram characteristics of the image.The results of this study are the value of the feature calculation in first order statistics to be used to make the decision whether the egg yolk is suitable for consumption or not. This research is expected to be able to provide insight in determining the quality or absence of native chicken eggs. The first step in this research is to look for data in the form of egg yolks from native chickens, after that we take a picture in the form of an image of egg yolk using the same camera and the same distance as well. So that the image results obtained have the same level of precision. From this image, we then look for the first order statistical value which will be used as a reference in determining the quality of eggs using fuzzy logic.
Analisis Citra Kuning Telur Berbasis Ekstraksi Ciri Statistika Orde Satu untuk Mengenali Jenis Telur Ayam Ras dan Ayam Kampung Muhammad Sipan; Rony Kartika Pramuyanti
Elektrika Vol. 13 No. 2 (2021): Oktober 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i2.4250

Abstract

Chicken eggs are one of the most familiar side dishes in Indonesia besides tempeh. High protein and low prices make eggs a favorite side dish for the people of Indonesia. Although almost every day we see egg yolks we often can't tell for sure what chicken egg yolks we see. Based on this, the author tries to study egg yolk imagery based on first-order feature extraction using various features such as variance, skewness, carding, entropy, and mean. Statistical calculations are used based on the pixel values of the original image in this first-order texture calculation with the sole purpose of finding the histogram properties of the image. The results of first-order statistical characteristic calculations were used to differentiate between native and purebred chicken eggs. This study facilitates decision making, especially in the selection of accurate and measurable egg yolks from several types of chicken eggs, thereby minimizing public mistakes in choosing eggs based on egg yolks. The first step that can be done is to determine the data consisting of various types of images of free-range chicken egg yolks. These are free-range chicken eggs and purebred chicken eggs. The image is then segmented by separating the yolk and white, then first-order statistical analysis which later the results of these statistical calculations can be used as a reference in determining the type of egg. The results of the trial resulted in first-order feature extraction statistical values, namely for native chickens, the mean value was 132.743, min 69.5255, max 252.5, standard deviation was 29.922 and variance was 905.882. The average value of statistics was order 1 for native chickens. of mean 137,176, min 48, max 240.2, standard deviation 31,454 and variance of 957.89.
Prototipe Pengaman Kebakaran Rumah Menggunakan Thermal Camera Filmada Ocky Saputra; Ardiawan Bagus Harisa; Zaenal Arifin
Elektrika Vol. 13 No. 2 (2021): Oktober 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i2.4034

Abstract

80% of cases of building or house fires in Indonesia are caused by electrical short circuits. Currently, there are only MCB and ELCB devices protecting for building electrical installations, but these devices cannot protect the conditions that cause fires. In a short circuit, there will be heating of the short cable or device. In this study, researchers used a thermal camera that can be placed on an electrical panel to be able monitor the temperature of electrical panel which includes cables, MCB, or can be placed on other devices. When the detected object temperature exceeds a predetermined limit, the device will provide a warning in the form of sound and text and can automatically cut off electricity in the building's electricity network. This research produces a prototype of a power grid safety device using a Raspberry Pi that can be applied to buildings and objects that have the potential to emit excess heat that can cause fires. Systems it will be able to monitor, provide warnings and can automatically cut off the electricity network when the temperature of the observed object exceeds the specified limit and has the potential to emit excess heat which can cause a fire.
Pengatur Kecepatan Prototipe Mesin Solenoid 4 Induktor Menggunakan Metode Kontrol Frekuensi Yusuf Nurul Hilal; Trias Andromeda; Susatyo Handoko
Elektrika Vol. 13 No. 2 (2021): Oktober 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i2.4258

Abstract

The development of electric vehicles is in rapid progress, especially in terms of the main engine drive. The use of solenoid can be applied as an alternative driving electric vehicles instead of a dc motor as the main driver. In this paper, the prototype solenoid machine is applied by using 4 inductors controlled by an Arduino microcontroller and the solenoid driver based on application of Mosfet L298N. The prototype runs successfully. Based on the experimental results, the greater the frequency value applies to the driver, the faster the solenoid moves. The acceleration occures due to the electromagnetic field which is getting stronger and the field is proportional to the frequency value, so the solenoid movement is faster.
Analisa Perbandingan Citra Hasil Segmentasi Menggunakan Metode K-Means dan Fuzzy C Means pada Citra Input Terkompresi I Wayan Angga Wijaya Kusuma; Afriliana Kusumadewi
Elektrika Vol. 13 No. 2 (2021): Oktober 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i2.3182

Abstract

In pattern recognition, image processing plays a role in automatically separating objects from the background. In addition, the object will be processed by the pattern classifier. In the medical world, image processing plays a very important role. CT Scan (Computed Tomography) or CAT Scan (Computed Axial Tomography) is an example of an image processing application that can be used to view fragments or cross sections of parts of the human body. Tomography is the process of producing two-dimensional images from three-dimensional film through several one-dimensional scans. Magnetic resonance imaging (MRI) is the image most often used in the field of radiology. MRI images can display the anatomical details of objects clearly in multiple sections (multiplanar) without changing the patient's position. In this study, two methods were compared, namely K-Means and Fuzzy C Means, in a segmentation process with the aim of separating between normal areas or areas with disturbances (lesions). The images used are brain and chest MRI images with a total of 10 MRI images. The image quality of the segmentation results is compared with the quality test using the Variation of Information (VOI) parameters, Global Consistency Error (GCE), MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and segmentation time.In pattern recognition, image processing plays a role in automatically separating objects from the background. In addition, the object will be processed by the pattern classifier. In the medical world, image processing plays a very important role. CT Scan (Computed Tomography) or CAT Scan (Computed Axial Tomography) is an example of an image processing application that can be used to view fragments or cross sections of parts of the human body. Tomography is the process of producing two-dimensional images from three-dimensional film through several one-dimensional scans. Magnetic resonance imaging (MRI) is the image most often used in the field of radiology. MRI images can display the anatomical details of objects clearly in multiple sections (multiplanar) without changing the patient's position. In this study, two methods were compared, namely K-Means and Fuzzy C Means, in a segmentation process with the aim of separating between normal areas or areas with disturbances (lesions). The images used are brain and chest MRI images with a total of 10 MRI images. The image quality of the segmentation results is compared with the quality test using the Variation of Information (VOI) parameters, Global Consistency Error (GCE), MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and segmentation time.
Analisis Data Berat Badan Dan Panjang Bayi Dengan Alat Ukur Panjang Dan Berat Badan Bayi Berbasi Arduino Bayu Wahyudi; Deny Julian Adella; Muhammad Ulin Nuha ABA
Elektrika Vol. 13 No. 2 (2021): Oktober 2021
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v13i2.3161

Abstract

Monitoring the nutritional status of infants at this time is mostly still using the manual method, by looking at anthropomeric standard books so that nutritional monitoring takes longer and is less practical. Babies need nutritional status based on age, weight, length of the baby (baby's height), and sex of the baby. To find out the nutritional condition of the baby, the author wants to develop a measurement tool for weight and length of the baby with the output data in Microsoft Excel. This study aims to design a baby's weight and length measurement tools with data output at Microsoft Excel and perform a function test. The process of detection in infants using ultrasonic sensors that serves to determine the height or length of the baby's body and load cell sensors to determine the baby's weight, then the LCD (Liquid Crystal Display) which displays the results of ultrasonic sensors and load cell sensors and Arduino Uno. The results of this study are an infant weight and height measurement tool with an arduino uno-based anthropometric index method with 2 ultrasonic sensors as height and length counters, and 1 load cell sensor as a weight calculator for infants that will later be displayed on the LCD screen.

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