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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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PERANCANGAN TIMBANGAN DIGITAL DILENGKAPI PENGUKURAN VOLUME DAN KALKULASI TARIFJASAPENGIRIMAN BARANG BERBASIS ESP32 Thoriq Ramadhan Al Hikmah; n/a Nurussa’adah; Rusmi Ambarwati
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

Goods delivery services are service to handle all activities necessary for thedelivery and receipt of goods intended to represent the interests of the owner of thegoods. However, currently to determine the shipping rate of goods is still usingtheconventional method, namely by first weighing the goods to find out the weight of thegoods and measuring the length, width, and height to find out the volume of the goods, then accessing the database on the computer to find the shipping rates fromone city to another. After that, do manual calculations using a calculator on the weight of goods and intercity rates to get the total freight rate. Based on the problems previously described, a tool is needed to speed up the process of setting shipping rates to be more ef ective and ef icient. In this study, the design of digital scales was carried out with the measurement of object volume and calculation of shipping rates for goods delivery services based on ESP32. Based on testing the HY-SRF05 sensor (length, width, height) using an object at a predetermined distance with a ruler incomparison, the results obtained from testing the accuracy of the HY-SRF05 sensor (length) with an error percentage of 1.11%, HY-SRF05 sensor accuracy (wide) withan error percentage of 0.55%, the accuracy of the HY-SRF05 sensor (high) withanerror percentage of 1.11%. Based on testing the HY-SRF05 sensor (length, width, height, and volume) using various boxes with dif erent dimensions compared toaruler, the accuracy of measuring objects (length, width, height, and volume) usingvarious boxes obtained an average the average percentage of the overall error is1.65%. Based on testing the load cell sensor with 5 diferent positions inthemeasurement area, the accuracy of the load cell sensor was obtained with an overall average error percentage of 11.8%, and the function of calculating the freight forwarder's service rate worked well according to predetermined specifications. Keywords: Digital Scales, Goods Delivery Services, ESP32, HY-SRF05, Load Cell
EKSTRAKSI CIRI BERDASARKAN KARAKTERISTIK DINAMIS SINYAL MULTISENSOR MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS Muhammad Akbar; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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This research aims to perform feature extraction on the dynamic characteristics on dynamic characteristic data on multisensor data. The training data consists of aroma recordings from 6 different species of mint at the Botanical Institute of Karlsruhe Institute of Technology (KIT), Germany, recorded using 12 different sensors. The dataset consists of 28,746 data points collected over a period of 175.52 minutes. The data underwent preprocessing to address spiking issues and standardize the data. Three testing stages were conducted, which are Performance testing of Feature Extraction using raw data, Performance testing of Feature Extraction using Piecewise Linear Regression (PLR) Data, and Performance testing of a Classification Model using the k-Nearest Neighbor (k-NN) algorithm. Feature Extraction was performed using the PCA technique to obtain Principal Component (PC) values of the reduced-dimensional data. For the Feature Extraction using raw data, PC1 had a value of 96.35% and PC2 had a value of 1.84%. Meanwhile, for the Feature Extraction using 12 PLR data, PC1 had a value of 95.95% and PC2 had a value of 1.88%. And for the Feature Extraction using 24 PLR data, PC1 had a value of 95.77% and PC2 had a value of 1.75%. The evaluation testing of the Feature Extraction results employed a machine learning model with the k-NN method. The training results showed that the k-NN model using raw data before PCA Feature Extraction achieved an Accuracy of 95.67% with a computation time of 0.3 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 98.7% with a computation time of 0.19 seconds. In contrast, the k-NN model with 12 PLR Pre-processing before PCA Feature Extraction obtained an Accuracy of 56.67% with a computation time of 0.049 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 85.83% with a computation time of 0.041seconds. Similarly, the k-NN model with 24 PLR Pre-processing before PCA Feature Extraction obtained an Accuracy of 61.67% with a computation time of 0.071 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 90.21% with a computation time of 0.063 seconds. These results indicate that PCA Feature Extraction successfully improved the Accuracy of the prediction model, even when the data dimensions were reduced. The development of this system can serve as an alternative for various data analysis and machine learning algorithms. Keywords: Multisensor, Quartz Cristal Microbalance (QCM), Principal Component Analysis (PCA)
IDENTIFIKASI JENIS GAS BERDASARKAN DATA MULTISENSOR DENGAN MENGGUNAKAN RECURRENT NEURAL NETWORK (RNN) Bagus Esa Pramudya; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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This research aims to develop a method for identifying gas types based on multisensor data using Recurrent Neural Network (RNN) in the context of Electronic Nose (E-Nose) application. The method utilizes Quartz Crystal Microbalance (QCM) sensors that respond to changes in oscillation frequency to detect gases. The data used in this study were obtained from QCM sensor measurements on six species of mint at the Botanical Institute of Karlsruhe Institute of Technology (KIT), Germany, recorded by Shalih Okur. Through the training process using RNN models with ReLU and LeakyReLU activation functions, training accuracies of 98.84% with a computation time of 326 seconds (ReLU) and 97.78% with a computation time of 267 seconds (LeakyReLU) were achieved. Furthermore, in the identification phase, the RNN model achieved accuracies of 79% with a computation time of 10 seconds (ReLU) and 85% with a computation time of 4 seconds (LeakyReLU). These findings indicate the potential of the RNN method for gas type identification based on multisensor data, with a focus on QCM sensor usage. Thus, the results of this study demonstrate the effectiveness of the RNN method in identifying gas types based on multisensor data, particularly when utilizing QCM sensors. Keywords: Multisensor, Recurrent Neural Network (RNN), Gas identification
PENINGKATAN PERFORMA DETEKTOR PENCURI IKAN DENGAN KALMAN FILTER DI KERAMBA APUNG GILI KETAPANG Mahdiyafi Rahardicahya; Akhmad Zainuri; Muhammad Fauzan Edy Purnomo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Gili Ketapang Island is one of the strategic areas for marine conservation in East Java, offering various main activities such as snorkeling, diving, recreational fishing, religious tourism, both traditional and modern fishing, and the development of marine cultivation through floating net cages. Floating net cages are becoming increasingly popular as a method of fish cultivation in Indonesia. However, fish theft in floating net cages remains a frequent and significant problem for fish farmers, causing substantial losses. Therefore, a fish theft detection device is needed to help reduce cases of fish theft in floating net cages. In order to develop this fish theft detection device, the use of PIR sensors and accelerometers is required. PIR sensors detect human movements entering or exiting the sensor's range, while accelerometers are used to measure the angles generated by ocean waves, which will be set as triggers for the PIR sensor. The characteristics of PIR sensors and accelerometers are crucial indetermining the accuracy and reliability of the fish theft detection device. Therefore, in-depth research on the characteristics of PIR sensors and accelerometers to be used in the fish theft detection device in floating net cages is necessary. As a result, it is expected that the detection device will work effectively and assist fish farmers in preventing fish theft in floating net cages. Keyword: Gili Ketapang Island, Fish Theft, Floating Net Cages, PIR Sensor, Accelerometer
RANCANG BANGUN IDENTIFIKASI IDENTITAS MENGGUNAKAN RFID BERBASIS ESP32 UNTUK SMART PARKING SYSTEM DI FAKULTAS TEKNIK UB Imet Mitsuin Banjar Nahor; Eka Maulana; Akhmad Zainuri
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

The parking area at Universitas Brawijaya which functions as a vehicle storage place for students and the academic community is often used by people outside UB because the condition of the portal in and out of the parking area is always open. In full parking conditions, students must enter the parking area to check the parking quota because there is no information on parking availability and this causes mobilization in the parking area to be disrupted. To overcome this problem, it is necessary to create an RFID-based smart parking monitoring system that functions to scan RFID tags as a condition for opening portals and parkingarea access. In this smart parking system, testing is carried out using a design (prototype) that is in accordance with actual parking conditions. The parking system is equipped with an RFID reader, servo actuator that functions as a portal, seven segment display as parking availability information and ultrasonic sensors as distance detection to close the portal. From the results of the study, the tools made are able to work according to the expected functions. Information on parking availability on the display is 100% in accordance with actual conditions, RFID reading positions are most effective at an angle of 90º with a maximum reading distance of 4 cm. RFID readers are capable of reading RFID tags a maximum of 2cm in the state where the RFID tag is in a wallet. The ultrasonic sensor in this study works with a maximum distance of 25 cm. Keywords: Smart parking, Prototype,RFID, ultrasonic sensor, RFID Reader,RFID tag,actuator,
DESAIN DAN IMPLEMENTASI RANGKAIAN RCD SNUBBER PADA DC-DC FULL BRIDGE CONVERTER Dhika Abiyoso Rahardianto; Waru Djuriatno; Rini Nur Hasanah
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

DC-DC Converter is an important component in modern electric power systems. This converter is used to convert DC voltage from one level to another, which is indispensable in various types of applications ranging from everyday electronic equipment to industrial use. DC-DC full bridge converter is one of the commonly used power converter topologies. However, these converters often face challenges in the form of voltage spikes that can damage components and oscillations that interfere with system performance. In this study the authors designed a RCD snubber circuit that could overcome this problem. The RCD snubber circuit consists of resistors, capacitors and diodes which are connected in parallel to each MOSFET. The test results show that before the snubber circuit is installed, there is a voltage spike that reaches 2 times the input voltage to more. In addition, high-frequency oscillations occur which require 1µs and 4µs to reach steady state. After adding the RCD snubber circuit, retesting was carried out and it was found that the voltage surge had reduced to about 1.2 times the input voltage. In addition, the oscillations that occur also require faster time to reach steady state, which is only 0.4µs and 1.5µs. Based on the test results and calculations, the power dissipation on the snubber resistor is also obtained. At an input voltage of 12V, the power dissipation is 2,234% input power, then at an input voltage of 24V, the power dissipation is 2,273% input power and at an input voltage of 36V, the power dissipation is 1,983% input power. From all the test results show that the RCD snubber circuit is able to reduce the voltage spikes and also the oscillations that occur at the moment of transition. Keywords: DC-DC full bridge converter, snubber, spike, oscillation, transition, dissipation
PEMODELAN SLIDING MODE CONTROL UNTUK REGULASI TEGANGAN KELUARAN DC-DC ISOLATED FULL BRIDGE CONVERTER Muhammad Akbar Amran; Mochammad Rusli; Waru Djuriatno
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Abstract

Technological developments in electronic components and circuits are capable of producing a direct current (DC) power supply system, which is produced by converting the input DC voltage to a higher or lower output DC voltage. To enhance energy conversion efficiency, precise and responsive control is essential. One widely used approach is to employ a DC-DC full bridge converter topology. The objective of this study is to model a Sliding Mode Control (SMC) to regulated the output voltage of a DC-DC full bridge converter. The research involves designing and simulating the converter circuit subsystem, controller design, and specifying the equipment to closely resemble the in real conditions. Through experimentations, it is observed that the designed controller meets the expected specifications allowing the converter to simulate stable output voltage regulation. The SMC methods is chosen for its adaptive and nonlinear nature, enabling it to produce a constant output voltage even when the input voltage from the DC source varies. The input DC voltage specification is 24 V, while the output voltage generates 48 V. MATLAB/Simulink is employed for simulation to design the entire system and present the research result in graphical form. Keyword: Fuel Cell, DC-DC Full Bridge Converter, Sliding Mode Control, Voltage Regulation.
SISTEM PENGONTROLAN SUHU DAN PH AIR DENGAN KONTROL LOGIKA FUZZY BERBASIS ARDUINO PADA PERANGKAT SMART AKUARIUM UNTUK IKAN MAS KOKI M Naufal Bariz Abdullah; Mochammad Rusli; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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This study aims to realize a system of controlling the degree of acidity of water and temperature of aquarium water in goldfish using fuzzy logic control so that it is expected to be able to produce healthy and good quality fish. The input data consists of pH and temperature while the output water flow debit is discharged by DC water pumps and heaters.There are pH and temperature sensors that each read every 1.5 seconds with fuzzy output discharge cycles every 1 minute. The design was carried out by the Sugeno method. Based on the test data, 315 data were obtained within 10 minutes, where the system was able to reach the setpoint value when it was in the 292th data, with a time of 8 minutes 47 seconds. The next data of the system runs in steady state. As for steady state errors of 1,05%. Keywords: Fuzzy logic control, Sugeno method, DC water pump, heater, pH sensor, temperature sensor, goldfish.
ANALISIS KELAYAKAN PLTS ON-GRID MENGGUNAKAN SOFTWARE PVSYST 6.8.1 PADA PPSDM MIGAS Adi Nugroho Pamungkas; Teguh Utomo; Rini Nur Hasanah
Jurnal Mahasiswa TEUB Vol. 11 No. 5 (2023)
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PPSDM Migas is a government-owned company engaged in the energy sector under the auspices of the auspices of the Ministry of Energy and Mineral Resource with a solar energy potential of 5,03 kWh/m2 /day obtained from the Meteonorm 7.1 software. PPSDM Migas has a total consumption of electrical energy in 2021 of 1,866 MWh. The construction of the On-Grid solar system at PPSDM Migas is expected to implement alternative energy resources and save electricity costs. The purpose of this study is to determine a feasibility analysis of solar power plants (PLTS) in technical and economic aspects using the PVsyst software simulation. The solar power plants system (PLTS) at PPSDM Migas has an installed capacity of 120 kWp which is divided into 8 point installation locations with a total of 420 units of solar panel with the Yingli Solar brand with a capacity of 280 Wp. There are 2 types of configuration systems based on their inverter capacity, which are the configuration of 10 kW inverter and 20 kW inverter. The PVsyst software simulation in 2021 produces 195,4 MWh per year of energy or can supply around 10,47% of the total energy consumption of PPSDM Migas. In 2021, this solar system is capable of producing 127,3 MWh of energy. Performance Ratio (PR) in one year is 84,4% from PVsyst, 85% from the theoretical calculation, and 58,9% from field results. The results of the economic feasibility analysis shot that Life Cycle Cost (LCC) is Rp. 2.021.116.083, and the value of the Cost of Energy (COE) is Rp. 963,59 /kWh.The results of the investment feasibility analysis show the value of Net Present Value (NPV) is Rp. 632.633.554, the value of the Profitibality Index (PI) is 1,36, and the Pay Back Period (PBP) or the year of return after the 14th year. Based on the results of the analysis in the technical aspects, it can conclude that the solar system at PPSDM Migas still needs performance improvement, while in the economic aspects, it is considered that the project is feasible to continue. Keyword: PLTS, PVsyst, PPSDM Migas
RANCANG BANGUN MAXIMUM POWER POINT TRACKING (MPPT) PERTURB & OBSERVE DENGAN SISTEM PENDINGIN Muhammad Raihan Hasnul; Rini Nur Hasanah; Lunde Ardhenta
Jurnal Mahasiswa TEUB Vol. 11 No. 5 (2023)
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Geographically, Indonesia is located on the equator which is always exposed to sunlight throughout the year, so solar energy has great potential to be developed. In general, there are two technologies that utilize solar energy, which is photovoltaic (PV) technology and solar thermal technology. The main problem of photovoltaic systems is the low efficiency of the electricity produced. To maximize the work of photovoltaic (PV) can be obtained through the Maximum Power Point Tracking (MPPT). One of them is MPPT perturb & observe (P&O). The increase in radiation intensity is proportional to the output power. When the radiation intensity is high, the temperature also increases. When the temperature increases, the efficiency of photovoltaic will decrease. In this study, a cooling system was designed that uses water at MPPT perturb & observe (P&O) with a converter used is a boost converter. The results of this study prove that a decrease in the temperature of solar panels by 21.190C can increase the power generated by 8.748%. keywords─ Photovoltaic, MPPT, Perturb & Observe, Boost Converter, cooling system.

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