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INDONESIA
Jurnal Mahasiswa TEUB
Published by Universitas Brawijaya
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Core Subject : Education,
Education
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Articles 2,116 Documents
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SISTEM PENGENDALIAN SUHU AIR PADA PROSES INKUBASI YOGHURT BERBASIS MIKROKONTROLER ARDUINO UNO Muhammad Rafif Rasendriya Sandhie; n/a Nurussa’adah; Rini Nur Hasanah
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Abstract

Yogurt is a food product that is widely consumed. The manufacturing process is by mixing the Lactobacillus bulgaricus and Streptococcus thermophilus bacteria into milk and proceed with the incubation stage. In the incubation process, the temperature of the milk must be carefully maintained with a normal time of around 16 hours in order to produce a good product. This makes yogurt producers quite difficult because they still use manual methods. Therefore, a water temperature control tool was made in this yogurt incubation process. This tool works by placing milk that has been treated with bacteria in a container surrounded by water. The water temperature will be maintained so that the temperature of the yogurt is maintained. Temperature control is carried out using the PI control method to make it easier for yogurt producers to carry out the production process. The ziegler-nichols method is used to obtain Kp and Ki parameters. Based on the test results, the PI control can control the water temperature well with the parameters Kp = 49.87 and Ki = 0.033. The response of the testing system for controlling water temperature in the yogurt incubation process with a yoghurt temperature setpoint of 45°C obtained that the water temperature reached steady state at 12771 seconds with an overshoot of 4.8% and a steady state error of 1.6%. For the yogurt temperature value to reach steady state occurs in the 6594th second with a steady state error of 4.1%. In the yogurt incubation process which lasted for ± 10 hours, it was found that the temperature difference between the water and yogurt was an average of 1.63°C. Keywords: yogurt, temperature, PI control, ziegler-nichols
RANCANG BANGUN AUTOMATIC TRANSFER SWITCH (ATS) DENGAN METODE SINKRONISASI Mohammad Wahyusuf Hidayatulloh; Akhmad Zainuri; Onny Setyawati
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Abstract

Combining Solar power plants electricity sources with PLN electricity sources is expected to save electricity bills because electricity needs are met by two electricity sources, can anticipate the lack of Solar power plants electricity supply, and can anticipate blackouts from PLN electricity sources. For this reason, an automatic control system is needed to switch electricity sources. The control system is the Automatic Transfer Switch (ATS). ATS is equipment that can transfer loads from PLN electricity sources to Solar power plants electricity sources or vice versa automatically if there is a disturbance in one of the electricity sources. This research designs an ATS that is equipped with synchronisation of two power sources using the zero-crossing detector method. The components used are Arduino Mega 2560 Pro Mini as a microcontroller, a voltage detector to detect the voltage of the power source, and 4 10A relays as switches for switching power sources. The result of this research is that there is no delay and wave difference in the load when there is a switch from the PLN power source to the inverter or vice versa. Another condition is that when the PLN power source goes out, the ATS will move the power source automatically to the inverter by only requiring a delay of less than 7 ms to reconnect the power source with the load. Keywords: PLN power source, Solar power plant, ATS, synchronisation.
RANCANG BANGUN SISTEM GREENHOUSE PADA MEDIA TANAM AEROPONIK DENGAN MENGGUNAKAN ARDUINO DAN SINGLE BOARD COMPUTER Arfian Nurfi Pangestu; n/a Nurussa’adah; Ponco Siwindarto
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Abstract

Aeroponics is a method of growing plants in a hanging root position and providing water and nutrients by misting the roots of the plants. In this research the authors designed a system that can condition the environment in a greenhouse using aeroponic growing media with parameters of air temperature, air humidity, and light intensity. In this design, the DS18B20 sensor is used as a temperature detector, the DHT11 sensor as a humidity detector, and the LDR sensor as a light intensity detector. The results of the DHT11 sensor test compared to the HTC-2 thermometer obtained an average error of 2.77%, the DS18B20 sensor test compared to the HTC-2 thermometer obtained an average error of 3.34%, the LDR sensor test compared to the AS803 luxmeter obtained errors that vary each test. The measurements results from the sensor will be processed by Arduino Uno and Single Board Computer to control the actuator connected to the relay. In this system to condition the environment, there are air temperature parameters controlled using a DC fan, air humidity controlled using a mistmaker and lighting controlled using an LED grow light. This environmental conditioning system is capable of lowering the temperature by 0.5°C with an average length of time of 2:18 minutes, increasing the air humidity by 5% RH with an average length of time of 4:20 minutes, and turning on the LED growlight when the light intensity is low. of 50lux according to the program. The automatic watering system in the form of mist uses an Arduino Uno timer with a water pump and a 0.3mm nozzle. From the results of sensor testing and the results of testing the environmental conditioning system, it shows that the designed system can work well according to the expected design. Keywords: Aeroponics, greenhouse, lighting, temperature, humidity, watering
SISTEM PREDIKSI RADIASI MATAHARI DENGAN METODE VECTOR AUTOREGRESSION (VAR) DAN LONG-SHORT TERM MEMORY (LSTM) PADA PEMBANGKIT LISTRIK TENAGA SURYA Daffa Rahmansyah Danistya; n/a Nurussa’adah; Akhmad Zainuri
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Abstract

Electricity is an energy that is highly demanded by all of mankind. In Indonesia, the consumption of electricity increases every year. Therefore, there is a need for power plants that can supply the increasing electricity demand year after year. In 2020, out of the 65,236 MW generated by power plants in Indonesia, a total of 90.75% of the electricity in Indonesia was still supplied by fossil fuel power plants. In 2021, PLN (State Electricity Company) experienced a coal supply crisis due to extreme weather conditions in coal mining areas, delays in the coal procurement process, and the impact of coal export prices. This coal supply crisis resulted in20 coal-fired power plants with a capacity of 10,850 MW being at risk of blackouts. This highlights the importance of renewable energy power plants to reduce dependence on fossil fuels. The government is also striving to achieve a 25% utilization of renewable energy by 2025, including solar power plants. In electricity production, solar power plants rely heavily on solar radiation that can be captured by solar panels. Solar radiation on the surface of solar panels is a fundamental parameter for designing a well-integrated photovoltage (PV) system, both for load requirements and determining the amount of electricity produced by the panels, as well as for accurate operational simulations. Therefore, AI is expected to be used to assist in theanalysis of solar radiation. AI has advantages in certain tasks, making it possible for computers to make accurate decisions that result in more efficient operations. AI is highly suitable for processing solar radiation data in a particular location, especially considering the years of collected solar radiation data that form big 2 data. The use of artificial intelligence and big data can analyze the data and provide faster insights compared to conventional mathematical calculations. By employing various deep learning algorithms such as vector autoregression (VAR) and long-short term memory (LSTM), the prediction of solar radiation can become more accurate, facilitating optimal analysis in the design of solar power plants for households and industries. The AIalgorithm used for solar radiation prediction in this study is a combination of VAR and LSTM algorithms. The accuracy rate achieved by the combination of VAR and LSTM algorithms in this research exceeds 90%, indicating that this combination is highly suitable for predicting future solar radiation. Keywords: solar power plant, artificial intelligence (AI), solar radiation prediction.
PENGUJIAN ARUS MENGGUNAKAN SENSOR SCT 013-000 PADA PEMBANGKIT LISTRIK TENAGA SURYA BERBASIS INTERNET OF THINGS Alfi Maghfirah; Akhmad Zainuri; Onny Setyawati
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

The Internet of Things (IoT) has grown rapidly over the past few years following the increasing demand in communication and control for various devices and gadgets. A key requirement implemented for modern IoT devices is to provide effective connectivity to ensure long-distance communication and data transfer in a wireless environment. Solar power is an energy source that will never run out. This energy can also be used as an alternative energy that is converted into electrical energy, using solar panels. The performance of a solar panel can be determined by measuring its output parameters such as voltage, current, and power. The voltagecurrent characteristics of solar panels are influenced by several factors, including the intensity of solar radiation and the operating temperature of the solar panels. This system is designed to monitor the current using the SCT 013-000 sensor using a microcontroller that communicates serially with ESP32 and implements a monitoring database to display the current on the android application, namely Solar Home System. The results of receiving data from the microcontroller to transfer data to the database by connecting the internet network. The results of the study found that current measurements using the SCT 013-000 sensor obtained a current accuracy value of 99,5%. Keywords: solar panel, monitoring, sensor, accuracy
ANALISIS KETIDAKSTABILAN TEGANGAN DAN FREKUENSI PADA PEMBANGKIT LISTRIK TENAGA MIKROHIDRO (PLTMH) ANDUNGBIRU KECAMATAN TIRIS KABUPATEN PROBOLINGGO Muhammad Ryan Al Hafidz; Rini Nur Hasanah; Lunde Ardhenta
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

Microhydro Power Plant (MHPP) is a small-scale power plant that is environmentally friendly which utilizes the existing water discharge around us to be converted into electrical energy such as irrigation canals or rivers. Because the small-scale MHPP tends to use synchronous generators which are relatively affordable. When a synchronous generator is subjected to a load of varying magnitude, the magnitude of the voltage will also vary. This causes voltage and frequency instability in the MHPP. This study will use MHPP Andungbiru Unit A2, Tiris District, Probolinggo Regency as a test object with a descriptive research type through a quantitative approach which aims to provide an overview of the voltage and frequency instability that occurs. The results of this study indicate that the highest/lowest voltage and frequency instability values, namely 274.6 volts/53 Hz and 118.5 volts/27.67 Hz, are due to the influence of changes in load current. This can cause the generator rotational speed to fluctuate, causing the resulting voltage and frequency to become unstable. The solution is to add water power to rotate the turbine shaft and rotate the generator faster so that it can reduce the value of the voltage drop caused by losses on the turbine and generator parts. This is because large electric power can increase the voltage and frequency without having to adjust the load. Additional water power can be done by making improvements to civil parts so that they comply with standardization. In addition, improvements to the electrical part, namely improvements to the ELC system, can also be used to achieve stable and more efficient voltage and frequency values. Keywords — MHPP, Synchronous Generator, Voltage, Frequency
IMPLEMENTASI SISTEM MONITORING DAN KLASIFIKASI KONDISI LINGKUNGAN UNTUK BUDIDAYA TANAMAN AEROPONIK BERBASIS INTERNET OF THINGS Ichsan Harun Wicaksono; n/a Nurussa’adah; Ponco Siwindarto
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

Aeroponics is a cultivation method that involves suspending plant roots in the air. Aeroponic cultivation poses several challenges, such as maintaining optimal environmental conditions. In this research, the author designed an internet of things (IoT)-based automated environmental control system by implementing machine learning classification methods. The aim was to optimize the control function of environmental conditioning in aeroponic systems. The system was designed using an Arduino Uno microcontroller connected serially to a Raspberry Pi and connected to the Adafruit Io web platform via the MQTT communication protocol over the internet. In the classification system testing, the initial dataset underwent oversampling using the SMOTE method. The evaluation results showed that the K-Nearest Neighbors algorithm achieved an accuracy of 96,47% in classifying environmental conditions, while the Random Forest algorithm achieved an accuracy of 100%. Both algorithms successfully classified the aeroponic environmental conditions. In terms of the monitoring system, the system was able to send monitoring data to a web-based dashboard with a delay ranging from 0.091 seconds to 0.0142 seconds. Keywords: Aeroponic, Internet of Things (IoT), classification algorithm, KNN, Random Forest
ANALISIS SWITCH MULTIPLEXING POWER DECOUPLING DENGAN PWM RECTIFIER DALAM MEREDUKSI DIMENSI KAPASITOR DC-LINK PADA PENGGERAK TRAKSI KERETA API LISTRIK Farhan Afif Hanip; Waru Djuriatno; Tri Nurwati
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

Dampak dari perkembangan teknologi salah satunya adalah semakin mudahnya mobilisasi yang terjadi pada saat ini. Manusia dengan mudahnya menjangkau beberapa titik di dunia ini dengan teknologi saat ini. Salah satu yang menguatkan kondisi tersebut adalah keberadaan kereta api listrik. Daya listrik yang dibutuhkan Kereta Rel Listrik (KRL) ini akan disuplai dari sebuah gardu traksi menggunakan kawat konduktor yang membentang di bagian atas sepanjang rute KRL tersebut yang disebut dengan sistem catenary atau Listrik Aliran Atas (LAA). Rectifier yang ada pada kereta listrik akan merubah tegangan AC menjadi DC yang tentunya akan dipengaruhi oleh penggunaan kapasitor sebagai penyimpan energi. Kapasitor pun menjadi salah satu hal yang seharusnya diperhatikan. Jika kapasitas yang diperlukan besar untuk mengatasi tentunya akan berakibat ke dimensi kapasitor itu sendiri. Apalagi kapasitor dengan kapasitas yang besar sangat terbatas jenisnya. Maka dari itu penggunaan prinsip power decoupling digunakan. Dengan mengkombinasikan power decoupling dan PWM Rectifier mampu memperoleh kapasitor yang lebih kecil sekitar 10 kali lipat dari kebutuhan seharusnya tanpa mengurangi keefektifannya dalam mengatasi ripple yang dihasilkan yaitu 10%. Penggunaan komponen switching yang berfungsi ganda pada rectifier dan power decoupling diajukan sehingga penggunaan switching tambahan bisa diminimalisir. Pengontrolan tertentu diperlukan untuk kerja switchmultiplexing power decoupling dengan PWM Rectifier. Kata kunci— Kereta Rel Listrik, PWM Rectifier, Switchmultiplexing Power Decoupling, Ripple, Kapasitor
SIMULASI TWO LEVEL BOOST DC DC CONVERTER MENGGUNAKANSOFTWARE MATLAB SIMULINK Muhammad Wildan Nashrullah; Mochammad Rusli; n/a Rahmadwati
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

Two level boost dc dc converter is a converter which has the advantage of being more economical if used in voltage increases in a large range. This research begins with data testing using MATLAB software, and emphasises the simulation by paying more attention to the parameters to adopt output voltage variations. Mathematical models in a physical system can be obtained in two ways, namely through analytical and experimental approaches. To obtain a system model is by using equations from the laws of physics and the components contained in the system. This research aims to boosting voltage in two level boost DC DC converter using Matlab simulink software. The method used in this research is a method with an experimental approach or identification method is the formation of a mathematical model of a physical system based on observation data by recording every relation of input and output data from a physical system. Then the data pairs are calculated with an algorithm from the identification method so that a mathematical equation that can represent the actual physical system will be obtained. Variations of conditions used in this analysis include changes in power supply of 250V, 360 Ω resistor, 4.5573.10-4 H inductor and 1.4583.10-6 F capacitor, and 16.67% duty cycle. The results obtained in this study are the influence of the variable values used to increase the output voltage generated by the fuel cell from 250V to 600V, as well as the modelling of the two-level DC DC boost converter to get the output voltage as desired is A1= -1.6298 A2= 0.6608 B1= -3.2604 B2=4.0692. Index terms—boost converter, TLBC, system identification, matlab simulink.
KOMPARASI DAYA ONE AXIS SOLAR TRACKER BERBASIS SUDUT MATAHARI DAN FIX SOLAR PANEL Gabriella Yolanda Krisanti; Tri Nurwati; Erni Yudaningtyas
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

Indonesia is located on the equator so it has abundant sunlight all year. Solar energy is a potential energy source that can serve as an alternative energy to generate electricity. Utilization of solar energy to produce electricity using a semiconductor device, namely solar panels. Solar panels that are commonly used are solar panels that do not follow the movement of the sun (fixed solar panels). The absorption of solar energy in solar panels can be increased by making solar panels follow the direction of the sun's movement or commonly called solar trackers. One type of one-way solar tracker movement refers to the azimuth side movement. The angular movement of the sun with reference to the azimuth side can be predicted using calculations. Calculation of the angular movement of the sun depends on the time and location of data collection which includes latitude, longitude, and time zone. The data is then processed and produces the sun's azimuth angle which is the reference for the movement of the solar tracker. Increased absorption of solar energy can be shown through the greater power efficiency between the solar tracker and fixed solar panels. The efficiency results for increasing the power of the solar tracker averaged 21.228% from the tests on April 15, 16, 17 and 30, 2023. Keywords: Solar Panel, Solar Tracker, Calculation of the Angle Movement of the Sun, Power

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