Articles
10 Documents
Search results for
, issue
"Vol 12, No 2 (2020): Jurnal Teknik Elektro"
:
10 Documents
clear
<![CDATA[Pengiriman Daya dari Inverter Lima Tingkat ke Grid Satu Fasa Menggunakan Arduino Due ]]>
<![CDATA[Kristiawan, Iwan]]>;
<![CDATA[Pratomo, Leonardus Heru]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.27325
<![CDATA[Inverter has been used for a wide variety of applications in renewable energy system. The use of inverter in a solar power plant system can off-grid and on-grid. H-Bridge inverter is one of the commonly used inverter. One of its disadvantages is the requirement of high frequency in order to get a low defect level on the output current. The use of a five-level inverter with considering the amount of a power semiconductor switch in can be as an alternative. This study aims to use a five-level inverter with five power semiconductor switches to deliver power to the grid.The working principle uses two sinusoidal signals that are shifted by 1800 compared to two carrier signals to produce a sinusoidal pulse width modulation signal. A sinusoidal pulse width modulation signal is used as a controller on each power semiconductor switch. The transmitted power is in the form of a current that is injected into the single-phase grid. The transmission of a power using five-level inverter to a single-phase grid was validated by a Power Simulator software. The final stage was a hardware implementation in the laboratory. The result shows that the inverter could transmit a power as current with 4.01% THDi, transmitted power as 36.4 Watts, and transmitted current as 0.52 Amps.]]>
<![CDATA[Pengendalian Tegangan Keluaran DC-DC Boost Converter Tipe Voltage Doubler Menggunakan Mikrokontroler STM32F1038CT ]]>
<![CDATA[Candra, Kevin]]>;
<![CDATA[Pratomo, Leonardus Heru]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.25662
<![CDATA[Five-level inverter is widely used in many industrial applications, for example as a three-phase electric motor drive, PLTS, etc. This inverter works using two separated DC voltage sources in order to form different voltage level. Five-level inverter using one DC voltage source will be more efficient. A DC-DC boost converter on Voltage Doubler type is used in order to solve the problem. The focus of this research is on controlling the DC-DC boost converter on Voltage Doubler type. The switch control method uses a shifted pulse width modulation of 1800. To get a suitable output voltage, an output voltage control system is applied. A proportional and integral type control is implemented using STM32F1038CT microcontroller. The output voltage controlled DC-DC boost converter is validated through computational simulation with Power Simulator software and as the final step will be implemented on hardware in the laboratory. Based on the simulation and implementation, Voltage-Doubler type of DC-DC boost converter is able to produce the required output voltage, which is two times greater than the conventional DC-DC boost converter output voltage.]]>
<![CDATA[Rancang Bangun Sistem Pakar Pemantau Kualitas Air Berbasis IoT Menggunakan Fuzzy Classifier ]]>
<![CDATA[Ramadhan, Muhammad Hisyamudin]]>;
<![CDATA[Dewantoro, Gunawan]]>;
<![CDATA[Setiaji, Fransiscus Dalu]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.25351
<![CDATA[The classification of water quality is vital to ensure that the water has been properly utilized. As of today, the water treatment plant employs a conventional method by taking water sample, measuring all of water quality parameters, and analyzing each sample. Besides, the conclusion-drawing processes have not been incorporated which might lead to water quality misclassification and prolonged efforts. In this study, an expert system was developed to monitor the water quality in real time fashion, therefore it could be accessed anytime and anywhere. The water quality analysis process was conducted by means of fuzzy classifier, and implemented on Arduino Mega 2560 board. The fuzzy inputs included pH value, total dissolved solid (TDS), and turbidity. A fuzzy inference system was employed to classify the water quality into three classes, namely good (meet the hygiene standards), fair, and poor (polluted). The expert system successfully yielded the inference results with a success rate of 100%. The water quality monitoring and classification could be accessed online through Internet of Things (IoT) platform Thingspeak.]]>
<![CDATA[Optimisasi Multi-objektif pada Rekonfigurasi Jaringan Distribusi Tenaga Listrik dengan Integrasi Pembangkit Terdistribusi Menggunakan Metode Sistem Kekebalan Buatan ]]>
<![CDATA[Syahputra, Ramadoni]]>;
<![CDATA[Soesanti, Indah]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.26353
<![CDATA[This study proposes a multi-objective optimization for power distribution network reconfiguration by integrating distributed generators using an artificial immune system (AIS) method. The most effective and inexpensive technique in reducing power losses in distribution networks is optimizing the network reconfiguration. On the other hand, small to medium scale renewable energy power plant applications are growing rapidly. These power plants are operated on-grid to a distribution network, known as distributed generation (DG). The presence of DG in this distribution network poses new challenges in distribution network operations. In this study, the distribution network optimization was carried out using the AIS method. In optimization, the goal to be achieved is not only one objective but should be multiple objectives. Multi-objective optimization aims to reduce power losses, improve the voltage profile, and maintain a maintained network load balance. The AIS method has the advantage of fast convergence and avoids local minima. To test the superiority of the AIS method, the distribution network optimization with and without DG integration was carried out for the 33-bus and 71-bus models of the IEEE standard distribution networks. The results show that the AIS method can produce better system operating conditions than before the optimization. The parameters for the success of the optimization are minimal active power losses, suitable voltage profiles, and maintained load balance. This optimization has successfully increased the efficiency of the distribution network by an average of 0.61%.]]>
<![CDATA[Aplikasi Machine Vision pada Hexacopter untuk Deteksi Survival Kits di Bidang Mitigasi Bencana ]]>
<![CDATA[Ikhsan, Ismawan Noor]]>;
<![CDATA[Akbar, Son Ali]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.26676
<![CDATA[Hexacopter belongs to one of flying robots that is used to carry out a special mission such as retrieving and delivering survival kits object. Thus, it should be built by smart system to determine the object accurately. However, there was an interference from other object that made it difficult to recognize the survival kits object. Therefore, the development of machine vision with the integration of the hexacopter control system is expected to improve the object recognition process. This study intends to develop a survival kit detection using the image processing method, which involved 1) segmentation on the Hue, Saturation, Value (HSV) color space, 2) contour detection, and 3) Region of Interest (ROI) selected detection. The evaluation of the segmentation method performances was done through the three-part experiments (i.e., the similar shape, variety of a color object, and an object shape). The result of survival kits object detection evaluation obtained an accuracy of 90.33%, precision of 99.63%, and recall of 91.24%. According to the performances obtained in this study, the development of machine vision systems on Unmanned Aerial Vehicle (UAV) has a high accuracy for the object survival kits detection even with another object interference.]]>
<![CDATA[Aplikasi Machine Vision pada Hexacopter untuk Deteksi Survival Kits di Bidang Mitigasi Bencana ]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.26676
<![CDATA[Hexacopter belongs to one of flying robots that is used to carry out a special mission such as retrieving and delivering survival kits object. Thus, it should be built by smart system to determine the object accurately. However, there was an interference from other object that made it difficult to recognize the survival kits object. Therefore, the development of machine vision with the integration of the hexacopter control system is expected to improve the object recognition process. This study intends to develop a survival kit detection using the image processing method, which involved 1) segmentation on the Hue, Saturation, Value (HSV) color space, 2) contour detection, and 3) Region of Interest (ROI) selected detection. The evaluation of the segmentation method performances was done through the three-part experiments (i.e., the similar shape, variety of a color object, and an object shape). The result of survival kits object detection evaluation obtained an accuracy of 90.33%, precision of 99.63%, and recall of 91.24%. According to the performances obtained in this study, the development of machine vision systems on Unmanned Aerial Vehicle (UAV) has a high accuracy for the object survival kits detection even with another object interference.]]>
<![CDATA[Pengiriman Daya dari Inverter Lima Tingkat ke Grid Satu Fasa Menggunakan Arduino Due ]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.27325
<![CDATA[Inverter has been used for a wide variety of applications in renewable energy system. The use of inverter in a solar power plant system can off-grid and on-grid. H-Bridge inverter is one of the commonly used inverter. One of its disadvantages is the requirement of high frequency in order to get a low defect level on the output current. The use of a five-level inverter with considering the amount of a power semiconductor switch in can be as an alternative. This study aims to use a five-level inverter with five power semiconductor switches to deliver power to the grid.The working principle uses two sinusoidal signals that are shifted by 1800 compared to two carrier signals to produce a sinusoidal pulse width modulation signal. A sinusoidal pulse width modulation signal is used as a controller on each power semiconductor switch. The transmitted power is in the form of a current that is injected into the single-phase grid. The transmission of a power using five-level inverter to a single-phase grid was validated by a Power Simulator software. The final stage was a hardware implementation in the laboratory. The result shows that the inverter could transmit a power as current with 4.01% THDi, transmitted power as 36.4 Watts, and transmitted current as 0.52 Amps.]]>
<![CDATA[Pengendalian Tegangan Keluaran DC-DC Boost Converter Tipe Voltage Doubler Menggunakan Mikrokontroler STM32F1038CT ]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.25662
<![CDATA[Five-level inverter is widely used in many industrial applications, for example as a three-phase electric motor drive, PLTS, etc. This inverter works using two separated DC voltage sources in order to form different voltage level. Five-level inverter using one DC voltage source will be more efficient. A DC-DC boost converter on Voltage Doubler type is used in order to solve the problem. The focus of this research is on controlling the DC-DC boost converter on Voltage Doubler type. The switch control method uses a shifted pulse width modulation of 1800. To get a suitable output voltage, an output voltage control system is applied. A proportional and integral type control is implemented using STM32F1038CT microcontroller. The output voltage controlled DC-DC boost converter is validated through computational simulation with Power Simulator software and as the final step will be implemented on hardware in the laboratory. Based on the simulation and implementation, Voltage-Doubler type of DC-DC boost converter is able to produce the required output voltage, which is two times greater than the conventional DC-DC boost converter output voltage.]]>
<![CDATA[Rancang Bangun Sistem Pakar Pemantau Kualitas Air Berbasis IoT Menggunakan Fuzzy Classifier ]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.25351
<![CDATA[The classification of water quality is vital to ensure that the water has been properly utilized. As of today, the water treatment plant employs a conventional method by taking water sample, measuring all of water quality parameters, and analyzing each sample. Besides, the conclusion-drawing processes have not been incorporated which might lead to water quality misclassification and prolonged efforts. In this study, an expert system was developed to monitor the water quality in real time fashion, therefore it could be accessed anytime and anywhere. The water quality analysis process was conducted by means of fuzzy classifier, and implemented on Arduino Mega 2560 board. The fuzzy inputs included pH value, total dissolved solid (TDS), and turbidity. A fuzzy inference system was employed to classify the water quality into three classes, namely good (meet the hygiene standards), fair, and poor (polluted). The expert system successfully yielded the inference results with a success rate of 100%. The water quality monitoring and classification could be accessed online through Internet of Things (IoT) platform Thingspeak.]]>
<![CDATA[Optimisasi Multi-objektif pada Rekonfigurasi Jaringan Distribusi Tenaga Listrik dengan Integrasi Pembangkit Terdistribusi Menggunakan Metode Sistem Kekebalan Buatan ]]>
<![CDATA[ Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15294/jte.v12i2.26353
<![CDATA[This study proposes a multi-objective optimization for power distribution network reconfiguration by integrating distributed generators using an artificial immune system (AIS) method. The most effective and inexpensive technique in reducing power losses in distribution networks is optimizing the network reconfiguration. On the other hand, small to medium scale renewable energy power plant applications are growing rapidly. These power plants are operated on-grid to a distribution network, known as distributed generation (DG). The presence of DG in this distribution network poses new challenges in distribution network operations. In this study, the distribution network optimization was carried out using the AIS method. In optimization, the goal to be achieved is not only one objective but should be multiple objectives. Multi-objective optimization aims to reduce power losses, improve the voltage profile, and maintain a maintained network load balance. The AIS method has the advantage of fast convergence and avoids local minima. To test the superiority of the AIS method, the distribution network optimization with and without DG integration was carried out for the 33-bus and 71-bus models of the IEEE standard distribution networks. The results show that the AIS method can produce better system operating conditions than before the optimization. The parameters for the success of the optimization are minimal active power losses, suitable voltage profiles, and maintained load balance. This optimization has successfully increased the efficiency of the distribution network by an average of 0.61%.]]>
