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329 Documents
<![CDATA[Internet of Things (IoT) Based On Digital KWH Using Blynk Platform ]]>
<![CDATA[Taufik, Muhamad]]>;
<![CDATA[Islami, Syaiful]]>;
<![CDATA[Candra, Oriza]]>;
<![CDATA[Hamdani, Hamdani]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 1 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i1.669
<![CDATA[Daily life cannot be separated from the use of electrical energy, such as in homes, which often cannot limit it. Accompanied by technological developments so that the internet can be used in everyday life, the concept of the Internet of Things emerged. This concept has been utilized so that it can help maximize the use of electrical energy. Using NodeMCU which has an ESP8266 Chip so it is able to connect to the internet. The Blynk platform is used for users as a tools to find out in real time the power and costs of using electrical energy. Limitations on electricity use can be set. When the electricity usage has reached the usage limit, the buzzer will turn on automatically as a warning. Another additional control that can be carried out is cutting off electricity which can be done remotely. Cutting off the electricity flow is carried out using a relay which is a switch that is operated using electricity.]]>
<![CDATA[Distribution Transformer Capacity Planning Based On Load Characteristics According To Electric Power Requirements At The Mugarsari Campus, Siliwangi University ]]>
<![CDATA[Azizah, Faridah Nafa]]>;
<![CDATA[Andang, Asep]]>;
<![CDATA[Sutisna, Sutisna]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.674
<![CDATA[Siliwangi University is currently building a second campus in the Mugarsari Tasikmalaya area. With the construction of this second campus, it is necessary to plan the transformer capacity in accordance with the installed electrical power requirements. In terms of designing electrical installations and the need for electrical power to be installed, proper planning is needed. In this research, the distribution transformer capacity value planning has been carried out in accordance with the installed electrical power requirements by considering load characteristics, namely demand factors and diversity factors. The aim of this research is to determine the capacity of the distribution transformer along with an analysis of the distribution transformer loading so that it complies with PLN standards. The total installed load is 1,566 kVA. In this study, calculations were carried out based on load characteristics, namely diversity factors and needs factors . The distribution transformer capacity obtained by considering load characteristics is 1,220 kVA with a loading percentage of 81% . The results of the loading that have been carried out are still in accordance with the Electricity Planning Projections through the 2020 RUPTL.]]>
<![CDATA[Improving the Accuracy of Manual Control of an Automatic Guided Vehicle (AGV) Robot by Applying the Proportional Integral Derivative (PID) Algorithm ]]>
<![CDATA[Apsada, Satria]]>;
<![CDATA[Risfendra, Risfendra]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.676
<![CDATA[Robot Automated Guided Vehicle (AGV) pada umumnya dapat bergerak secara autonomous dan manual. Kendali manual robot Automated Guided Vehicle (AGV) dibutuhkan ketika kendali autonomous sedang tidak digunakan. Kebutuhan untuk kontrol manual pada AGV dapat disebabkan oleh kegagalan sistem otomatis atau untuk situasi di mana operator perlu intervensi langsung untuk keamanan atau tugas yang memerlukan keputusan manusia. Tetapi dalam pengendalian manual robot memiliki nilai deviasi terhadap gerak lurusnya, sehingga mempengaruhi kinerja robot dan menjadikannya semakin sulit dikendalikan. Tujuan penelitian ini untuk meningkatkan performa sistem kontrol manual robot Automated Guided Vehicle (AGV) dengan menggunakan algoritma PID (Proportional Integral Derivative) metode Ziegler Nichlos I atau metode kurva reaksi yang mampu menghasilkan nilai tuning dengan praktis sehingga robot AGV dapat melakukan gerak lurus dengan akurasi yang lebih baik. Penelitian ini terdiri dari tahapan analisis, pengodean dan pengujian robot. Pada penelitian ini menggunakan sensor rotary encoder dengan motor DC PG45 dan dikendalikan mikrokontroler Arduino Atmega 2560 serta kontroler joystick wireless. Penggunaan kendali manual digabungkan dengan Algoritma PID metode Ziegler-Nichols I dengan nilai Kp=0,45; Ki=0,3 dan Kd=0 untuk Motor 1 dan Motor 2 dengan nilai Kp=0,5; Ki=0,15 dan Kd=0 yang dikombinasikan dengan sensor rotary encoder. Hasil pengujian menunjukkan peningkatan kinerja kendali robot AGV dengan nilai ketepatan jarak tempuh dari 3(tiga) meter menjadi 12(dua belas) meter gerak dapat mendekati lintasan lurus.]]>
<![CDATA[Development of an arithmetic trainer kit for understanding the concepts of Binary Addition and Subtraction ]]>
<![CDATA[Aminah, Nur]]>;
<![CDATA[Wirman, Shabri Putra]]>;
<![CDATA[Fitrya, Neneng]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.677
<![CDATA[Digital electronics is the basis of all electronic devices used today. The understanding of digital concepts, especially the concept of arithmetic (binner addition and subtraction) is very important to be applied to more complex electronic systems. The Trainer Kit has been developed as a medium and means of learning and experimenting to understand theoretical concepts for students, college students, and those who just have a hobby in the field of electronics. The stages of making a trainer kit start from system design, hardware design, system testing and implementation of the system. The test results of each arithmetic circuit block show that the system is working properly and can be used by users.]]>
<![CDATA[Analysis of 5G Capacity in Line-Of-Sight Condition of Urban Macro (UMa) Using 3.5 GHz Frequency ]]>
<![CDATA[Yaser, Muhammad]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.706
<![CDATA[This study is projected to be the initial design for the implementation of 5G technology, particularly in the Urban Macro (UMa) scenario, with a frequency of 3.5GHz and a bandwidth of 100 MHz. 3GPP (3rd Generation Partnership Project) TR 38.901 recommends performing performance analysis with line-of-sight (LOS) situations using the propagation model urban macro (uMa). In this study, 100 users are distributed at random distances to examine system capacity using the frequency reuse factors K = 1/3 and K = 1/7. According to the calculation results, this study demonstrates that system capacity is dependent on user distribution arrangement and the frequency reuse factor approach used. A high frequency reuse factor increases bandwidth efficiency and yields more optimum capacity. Furthermore, distributing users near the base station will boost capacity.]]>
<![CDATA[Kendali Tegangan Output Buck Converter Berbasis Fuzzy Mamdani ]]>
<![CDATA[Ulandari, Putri]]>;
<![CDATA[Yuhendri, Muldi]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.697
<![CDATA[The source of energy used in everyday equipment is electrical energy. Starting from a small scale from household needs to a large scale as an energy source for industry, there are two types of voltage commonly used for various purposes, namely alternating voltage or also known as alternating current (AC) and direct voltage or direct current (DC). To get a DC voltage that is in accordance with the voltage standards required by the equipment, a voltage source is needed that can produce a voltage that varies the equipment is to use a converter then the output voltage needs to be controlled. Controlling the output voltage at the buck converter using the Mamdani fuzzy method. This control system is designed and implemented on the Arduino Mega 2560 platform which is programmed using Simulink Matlab. Mamdani fuzzy method is used to determine the duty cycle based on the rules in the rule base, which consists of five membership functions. The proposed system is tested and verified through experiments with an input voltage of 24 Volts and an output voltage varying from 6, 9 Volts to a maximum of 12 Volts. The experimental results show that the buck converter output voltage control system using Mamdani fuzzy successfully controls the buck converter output voltage according to the specified reference value. This can be seen from the resulting output voltage error, with a maximum of only 2 % when the reference voltage is at 12 Volts.]]>
<![CDATA[Smart Helmet Based on Microcontroller for Motorcyclists ]]>
<![CDATA[Prananda Asri, Rehan]]>;
<![CDATA[Sardi, Juli]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.727
<![CDATA[Motorcycles are one of the most popular types of transportation used by people in Indonesia. However, the use of motorcycles has its own risks and problems such as the high number of motorcycle accidents. Human error is one of these factors, for example not paying attention to the distance with the vehicle in front and using a smartphone while driving. In addition, the problem of helmet theft is one of the factors that reduce driving safety. This research aims to create a smart helmet that helps reduce the use of smartphones while driving, provide safe distance notifications between vehicles, and create a tracking system in case of theft. This research uses hardware which includes nodemcu esp32, hc-sr04 sensor, neo 6m gps module, and max98357 i2s audio amplifier module and software including telegram for notification and control and programming using ardiuno IDE. After the experiment, all components and systems of this smart helmet are able to work as expected and in line with the research objectives. The application of this smart helmet can help overcome the use of smartphones while driving, know the safe distance with the vehicle in front and assist in finding a helmet in the event of theft.]]>
<![CDATA[Analysis of the Impact of Charging When Used on Laptop Battery Performance and Stability ]]>
<![CDATA[Amiruddin, Syuraih]]>;
<![CDATA[Arifin, Sulthon Muakhor]]>;
<![CDATA[Saragih, Yuliarman]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.680
<![CDATA[In the current era, laptops have become important electronic devices in various activities. However, excessive use and the habit of charging while using it can affect the performance and stability of the laptop battery. This research uses a qualitative descriptive approach with interview methods and literature studies to analyze the impact of charging during use on battery performance and stability. The results of interviews with technicians show that battery damage often occurs due to overcharging or heavy use when charging. Factors such as Cycle Count Limit, State of Charge, Depth of Discharge, temperature, and voltage also affect battery performance. Preventing battery damage can be done by managing battery charging wisely, avoiding excessive temperatures, using a charger according to specifications, and removing the battery during heavy use. With this understanding, it is hoped that users can extend the service life and maintain laptop battery performance more effectively.]]>
<![CDATA[Perancangan Training Kit Instalasi Perumahan Berbasis Internet of Things (IoT) ]]>
<![CDATA[Gunawan, Fito]]>;
<![CDATA[Islami, Syaiful]]>;
<![CDATA[Sukardi, Sukardi]]>;
<![CDATA[Candra, Oriza]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.698
<![CDATA[Internet of Things (IoT) technology is still very little used in the world of education today, for example the use of IoT in training devices, so it is highly recommended to be implemented and taught to the next generation through the application of Internet of Things (IoT) based training devices in schools or universities . To develop your capabilities, one way is to create an Internet of Things (IoT)-based housing installation training device that has been designed or supported by technology and can be controlled via smartphone. This research was carried out through several stages of production including software creation and design. such as using the Arduino IDE application which is used to create programming sketches on the Arduino nano board, in other words the Arduino IDE is used as a programming medium on the Arduino nano so that the Arduino nano can read measurement results from the Arduino nano board. PZEM-004T sensor and displaying it on an LCD (Liquid Crystal Display) as well as manufacturing and designing hardware as a framework component. Tool testing and measurements are carried out to analyze the performance of bardi components and ordinary components and to verify the suitability and performance of the training kit tools to be made. So that the tools made are of good quality and can be used according to their intended purpose. The test results show that the use of bardi components does not consume too much electrical power compared to ordinary components.]]>
<![CDATA[Control of DC-DC Buck Converter Based on Adaptive Neuro Fuzzy Inference System (ANFIS) ]]>
<![CDATA[Syafitri, Muharani]]>;
<![CDATA[Yuhendri, Muldi]]>
<![CDATA[ Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia ]]>
Publisher : <![CDATA[Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang ]]>
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DOI: 10.24036/jtein.v5i2.707
<![CDATA[Various electrical equipment uses direct voltage (DC) as its power source, such as electronic equipment, dc motors and so on. Direct voltage (DC) used in electrical equipment usually consists of various voltage ratings ranging from 1.5 volts, 3 volts, 6 volts 12 volts and others. To get a direct voltage (DC) that suits the needs of the equipment, the direct voltage needs to be controlled. Direct voltage control is usually implemented using a power converter. In this research, the buck converter output voltage control based on Adaptive Neuro Fuzzy Inference System (ANFIS) will be implemented using Arduino Atmega 2560. The buck converter output voltage control system made in this research will be tested through experiments with an input voltage of 24 Volts and a maximum output of 18 Volts. The experimental results show that the ANFIS-based buck converter output voltage control system has been able to control the buck converter output voltage according to the desired reference voltage value.]]>
