Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) 2020-11-26T05:14:54+00:00 Rudy Kurniawan, S.T., M.T. Open Journal Systems <hr> <div align="justify"><strong>Jurnal Ecotipe (Electronics, Control, Telecommunications, Information, and Power Engineering)</strong>&nbsp;p-ISSN <strong><a href=";1395118085&amp;1&amp;&amp;" target="_blank" rel="noopener">2355-5068</a></strong>, e-ISSN <strong><a href=";1532676717&amp;1&amp;&amp;" target="_blank" rel="noopener">2622-4582</a></strong> is a peer-reviewed, scientific journal published by the Department of Electrical Engineering, Faculty of Engineering, Bangka Belitung University (UBB). The aim of this journal is to publish quality articles dedicated to all aspects of the latest extraordinary developments in the field of electrical engineering. The Jurnal Ecotipe was first published in April 2014 and is published twice a year (2 issues / year) every <strong>April</strong> and <strong>October</strong>.&nbsp;</div> <div><span style="text-decoration: underline;"><strong><strong>Focus and Scope :</strong></strong></span></div> <div><strong>Electronics:</strong>&nbsp;<em>Electronic Materials, Microelectronic System;&nbsp;</em> <div><strong>Control System:</strong>&nbsp;<em>Control System Engineering, Instrumentation and Control Engineering, Robotics;&nbsp;</em> <div><strong>Telecommunication:</strong>&nbsp;<em>Modulation and Signal Processing, Antenna and Wave Propagation;&nbsp;</em> <div><strong>Information Technology:</strong>&nbsp;<em>Information Theory and Coding, Computer Engineering and Informatics;&nbsp;</em> <div><strong>Power Engineering:</strong>&nbsp;<em>Electrical, Transmission and Distribution,&nbsp;Renewable Energy</em></div> </div> </div> </div> </div> DVR Implementation on Pujon Feeder line with Voltage Dip Compensation 2020-11-26T05:14:54+00:00 Arief Trisno Eko Suryo Wijono Wijono Bambang Siswojo <p><strong><em>This paper discusses the DVR of on Pujon </em></strong><strong><em>line</em></strong><strong><em> with voltage</em></strong><strong><em>&nbsp;Sag/Dip</em></strong><strong><em>&nbsp;compensation. The voltage</em></strong><strong><em> Dip</em></strong><strong><em> is often the result of </em></strong><strong><em>Single line-to-ground fault</em></strong><strong><em>. The</em></strong> <strong><em>voltage</em></strong><strong><em> Dip</em></strong><strong><em>&nbsp;makes tripping and damage the load equipment a problem that must be addressed. DVR implementation is used to complement the voltage Dip. The ANN control method was proposed to regulate DVR performance in compensating the voltage Dip. Simulated results demonstrated with the implementation of a DVR in the Pujon replay </em></strong><strong><em>line</em></strong><strong><em> capable of compensating the voltage of the </em></strong><strong><em>Single line-to-ground fault</em></strong><strong><em> from a voltage drop that was originally 0536 PU and can be repaired by 0968 PU. </em></strong></p> 2020-08-28T00:00:00+00:00 ##submission.copyrightStatement## Monitoring Load Imbalance of Distribution Transformers Based on Internet of Things Technology 2020-11-26T05:14:53+00:00 Osea Zebua Endah Komalasari Syaiful Alam Aldiansyah Aldiansyah <p><strong><em>Un</em></strong><strong><em>balance</em></strong><strong><em>d load</em></strong><strong><em> is one of the causes of unpredictable distribution transformer failure, so it is necessary to monitor the </em></strong><strong><em>un</em></strong><strong><em>balance</em></strong><strong><em>d load</em></strong><strong><em> of the distribution transformer. Internet of things technology-based equipment supports remote monitoring needs. This paper presents </em></strong><strong><em>the monitoring of unbalanced load in </em></strong><strong><em>distribution transformer based on IoT technology. The voltage sensor and current sensor are used to measure the rms voltage and current in each phase, the Arduino microcontroller is used to process the measurement data and send it to the network server via an ethernet shield and a wifi router equipped with an internet modem. The results showed that the monitoring equipment based on IoT technology was able to work to monitor </em></strong><strong><em>unbalanced load</em></strong><strong><em> online so that it could be monitored remotely via equipment connected to the internet network</em></strong><strong><em>.</em></strong></p> 2020-10-29T00:00:00+00:00 ##submission.copyrightStatement## Design Optimization of Smart Solar Electrical Systems at Solar Power Plant (PLTS) Method Dual Axis Tracking Technology 2020-11-26T05:14:51+00:00 Rean Khotama Dian Budhi Santoso Arnisa Stefanie <p><strong><em>The Solar Power Plant &nbsp;is an environmentally friendly, and Indonesia is a tropical country that gets an average of 4.8 kWh of solar light per day. However, in general, the type of solar panel installation is carried out regularly (statistically) at a certain angle so that the solar radiation absorbed by the solar panels is not optimal when the sun turns its back on the solar panel. This study aims to design a site that can optimally absorb sunlight rays using the Tracking Dual Axis Technology method based on the ATmega 2560 microcontroller as a system controller and Light Dependent Resistor (LDR) as a sun tracking sensor. So that it can maximize the absorption of solar radiation by solar panels. The Dual Axis Technology Tracking testers get a maximum Photovoltac voltage of 20.99 volts and a minimum of 19.75 volts and a maximum current of 21.04 mA and a minimum of 14.12 mA.</em></strong></p> 2020-10-30T13:35:09+00:00 ##submission.copyrightStatement## Application of Multiple Kernels on PCA Based Program for Face Recognition with Illumination Variations 2020-11-26T05:14:52+00:00 Riko Saragih Tio Dewantho Sunoto Judea Janoto Jarden Dzakki Muhammad Hanif <p><em>The application of kernel functions can solve the problem of non-linear image data so that the data can be linearly separable with a hyperplane by mapping the input space to the feature space to increase its dimensions. This article will discuss the improvement in recognition accuracy obtained by implementing multiple kernels in a PCA based program using linear, polynomial, and gaussian kernels for facial recognition with illumination variations. The matching or recognition process is carried out using the SVM method. Improvements obtained from the application of multiple kernels will be compared with the implementation of a single kernel and see how much improvement of the accuracy. Based on the results of the implementation of multiple kernels, the average improvement in accuracy obtained from the face recognition results with illumination variations is 10.5% compared to a single kernel.</em></p> 2020-10-30T00:00:00+00:00 ##submission.copyrightStatement## Control of 3 Phase Induction Motor Speed using PLC Omron CP1E with Proposional Control 2020-11-26T05:14:50+00:00 Muhamad Yusuf Abdul Rohman <p><strong><em>The industrial automation sector experienced significant developments in the Industrial Revolution 4.0 era. This can be seen with a variety of automation products that have evolved from standalone mode to be integrated with each other. To support the migration from Industry 3.0 to Industry 4.0 communication devices or system updates are needed. The main equipment that must be connected in a control system is the inverter and PLC, because as a driver and control center. Several problems will arise if the PLCs are not connected to each other, such as asynchronous data managed by each PLC, offline data recording and monitoring the performance of each PLC need a relatively long time. This research discusses the method of connectivity between PLCs and inverters for three phase induction motor drives. The inverter used is the LS type SV008iC5 inverter from Industrial LS and PLC that is used is CP1E from Omron Based on research that has been done that the LS type SV008iC5 inverter can interact with PLC type CP1E well. This integration utilizes analog input terminals on the inverter and analog outputs on the PLC. The system has a steady state error below 5% with a maximum speed of 2958 rpm<br> <br> </em></strong></p> 2020-10-30T15:03:58+00:00 ##submission.copyrightStatement## Testing the Reliability of the Current Transformer System in Tackling the Illegal Use of Electrical Energy 2020-11-26T05:14:47+00:00 Moranain Mungkin Habib Satria Zulkifli Bahri Ahmad Ridwan <p><strong><em>The increasing demand for and tariffs on electricity has made people choose to take the risk of going against the law by illegally stealing currents on state-owned electricity networks. This is very detrimental if there is an electrical short circuit which can cause a fire. Therefore, a physical detection method is needed, namely by directly checking the seal meter and supported by a tool to prevent the occurrence of illegal use of current which is effective so that the measurement directly to the consumer can obtain valid data results. The tool used to overcome the problem of rampant illegal current theft is to install a current transformer (CT) on the kWh meter. Simulations are carried out at the electrical measurement laboratory of the Medan Area University electrical engineering study program by testing the reliability of the current transformer. The test results show that the data on the use of legal load currents and illegal load currents after the installation of current transformers, there is an increase in power where after using the CT the detected power consumption is 426 W, previously the power was fixed at 306 W, using both legal and illegal currents. The research found that simple installation using current transformers is very helpful for PLN in preventing the use of illegal electricity without having to routinely check consumers. Utilization of CT applications can also reduce the occurrence of leakage currents and short circuits in illegal use of electric current.</em></strong></p> 2020-10-31T01:32:40+00:00 ##submission.copyrightStatement## Design and Implementation of Bidirectional DC-DC Converter For Emergency Lighting 2020-11-26T05:14:46+00:00 Nancy Rahayu Irianto Irianto Eka Prasetyono <p><strong><em>The lighting </em></strong><strong><em>system is one of the biggest uses of electrical energy. Currently, lighting systems, especially emergency lighting, are urgently needed to deal with sudden blackouts at night. The emergency lighting gets a source of electrical energy from the battery and the battery gets a source of electrical energy from PLN. To regulate the source of electrical energy, a DC-DC converter with a bidirectional method is used. The bidirectional converter is a converter that has 2 functions, namely buck mode and boost mode which works when the main source of PLN goes out, automatically the lighting system will be supplied by the battery as a backup source. The buck mode in the charging process is used to store electrical energy into a battery with a battery capacity of 12V 30Ah. While the boost mode in the discharging process is used to distribute electrical energy from the battery to the load with a lamp load of 10W. The charging and discharging processes are controlled using proportional integral control analytic methods. The charging process in buck mode with a Kp value of 8.62 and Ki of 17240, the output voltage value is 13.99V. While the discharging process in boost mode with a Kp value of 2.44 and Ki of 344.63, the output voltage value is 23.99V.</em></strong></p> 2020-10-31T15:01:47+00:00 ##submission.copyrightStatement## Implementing the Styins Home Application on Smart Home Security Using Firebase Real-Time Database 2020-11-26T05:14:48+00:00 Agni Andhini Ibrahim Ibrahim Yuliarman Saragih <p>Telah dilakukan implementasi sistem aplikasi <em>Styins Home</em> (<em>Security System Interface Smart Home) </em>berbasis IoT. Penelitian ini bertujuan membangun sistem kontrol dan <em>monitoring </em>kondisi keamanan perangkat rumah jarak jauh secara <em>real-time</em> sehingga mencegah kerugian akibat kelalaian dalam penjagaan kondisi keamanan rumah. Fitur aplikasi meliputi <em>streaming</em> kamera<em>, smart light, smart fan</em> dan <em>detection gas</em> dilengkapi peringatan notifikasi<em>. </em>Aplikasi ini memanfaatkan <em>real-time database firebase</em> sebagai layanan pengelola <em>database</em> dan <em>software </em>android studio. Metode penelitian dalam perancangan sistem aplikasi menggunakan model <em>waterfall</em>. Data hasil pengujian nilai <em>delay </em>menurut standarisasi TIPHON termasuk kualitas <em>delay</em> kategori sangat bagus yaitu 7,1 ms pada <em>streaming </em>kamera 240 kbps dan kualitas <em>delay</em> kategori sedang yaitu 425,08 ms pada <em>smart light, smart fan</em> dan <em>detection gas </em>di <em>firebase</em> 32 kbps sedangkan data hasil pengujian nilai persentasi <em>throughput</em> tertinggi dengan kualitas jaringan sedang yaitu 40,80% pada <em>streaming </em>kamera 240 kbps sedangkan nilai persentasi <em>throughput </em>lainnya memiliki kualitas jaringan yang buruk.</p> 2020-10-31T00:00:00+00:00 ##submission.copyrightStatement## Design and Comparison of DC Motor Speed Control 2020-11-26T05:14:49+00:00 Safah Tasya Aprilyani Irianto Irianto Epyk Sunarno <p><em><strong>The use of control is very necessary for regulating DC motor speed. In DC motor speed regulation, one type of control used is Proportional Integral (PI) control. The 4 types of methods for PI control used are the Ziegler Nichole method, Chien Servo 1, Chien Regulator 1, and analytical calculations that have been obtained from existing data. However, the control with PI 4, the method used as a comparison, has a stable speed response time that tends to be slow both from the value of the settling time, rise time, and steady-state. Therefore, the 4 PI control methods were compared with the use of fuzzy control. In comparing the 4 PI control methods and fuzzy control, there are several parameters as a comparison, namely maximum overshoot, steady-state, rise time, and settling time. The result of this comparison is that fuzzy control can produce better performance when compared to the 4 methods of PI control. Fuzzy control has a rise time value of 0.015 seconds, settling time value of 0.025 seconds with a speed of 2900 rpm, and a steady-state error of 3.33% without overshoot and oscillation.</strong></em></p> 2020-10-31T00:00:00+00:00 ##submission.copyrightStatement##