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INDONESIA
Jurnal Mahasiswa TEUB
Published by Universitas Brawijaya
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Core Subject : Education,
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Articles 2,116 Documents
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Analisis Kinerja RoF-OFDM (Radio Over Fiber Orthogonal Frequency Division Multiplexing) Berbasis FBG (Fiber Bragg Gratings) pada Frekuensi 3,5 GHz Bhaswara, Adrian; Partiansyah, Fakhriy Hario; Mustofa, Ali
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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Penelitian ini menganalisis kinerja sistem Radio over Fiber (RoF) berbasis Orthogonal Frequency Division Multiplexing (OFDM) dengan menggunakan Fiber Bragg Gratings (FBG) pada frekuensi 3,5 GHz. Sistem RoF-OFDM berbasis FBG diimplementasikan menggunakan software OptiSystem21 dan dianalisis berdasarkan nilai Bit Error Rate (BER), Error Vector Magnitude (EVM), dan Signal to Noise Ratio (SNR). Hasil penelitian menunjukkan bahwa penggunaan FBG secara signifikan meningkatkan kinerja sistem RoF-OFDM dengan nilai BER, EVM, dan SNR yang lebih baik dibandingkan dengan sistem tanpa FBG. FBG efektif dalam mengatasi dispersi kromatik pada fiber optik, sehingga membantu menjaga kualitas sinyal dan meningkatkan jarak transmisi. Nilai BER terkecil adalah 0,00310905612244898 yang tidak memenuhi standar yang ditetapkan. Nilai EVM terkecil pada konfigurasi tanpa menggunakan FBG masih memenuhi standar dengan nilai 3,59949590143922%. Adapun untuk nilai EVM terbesarmaupun terkecil pada konfigurasi menggunakan FBG masih memenuhi standar dengan nilai masing-masing 5,58703607941613% dan 2,94081094510999%. Sedangkan untuk SNR, nilai terbesar dari konfigurasi menggunakan dan tanpa FBG masing-masing adalah 96,97505 dB dan 96,170954 dB. Keywords: RoF-OFDM, FBG, EVM, BER, SNR, Optisystem.
RANCANG BANGUN ALAT BANTU NAVIGASI BAGI PENYANDANG TUNANETRA MENGGUNAKAN ESP CAM DAN SENSOR TOF DENGAN METODE IMAGE PROCESSING Kurniawan, Beni; Nurussa’adah, n/a; Rahmadwati, n/a
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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The sense of vision plays a crucial role in daily activities, with 80-85% of information being received through sight. Visually impaired individuals face challenges in mobility and accessing information, particularly because aids such as canes cannot effectively detect or classify objects. According to data from WHO (2019) and the Indonesian Ministry of Health (2018), millions of people worldwide, including in Indonesia, experience visual impairments. This study designs a navigation aid for visually impaired individuals using an ESP Cam and a ToF sensor integrated with an ESP32-S3 microcontroller to detect and classify objects around the user. Testing results show high detection accuracy for backgrounds (99%) and stairs (100%), but improvements are needed for detecting humans (33.3%) and chairs (25%). The ToF sensor successfully detected distances with a low average error (0.1 cm) and a small standard deviation (0.78 cm), making the device reliable in supporting the mobility of visually impaired individuals.Keywords: Visually Impaired, Assistive Device, ESP Cam, ToF Sensor, Image Processing
REDUKSI THD MENGGUNAKAN POWER FACTOR CORRECTION (PFC) BOOST CONVERTER DENGAN MODE CCM Sari, Widy Kartika; Djuriatno, Waru; Rusli, Moch.
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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This study discusses the application of Power Factor Correction (PFC) boost converter in Continuous Conduction Mode (CCM) to reduce Total Harmonic Distortion (THD) in a single-phase power system. Non-linear loads commonly used in electronic devices cause harmonic distortion that has a negative impact on power quality. By utilizing a PFC boost converter, this study aims to achieve THD reduction according to the IEEE 519-2014 standard. Testing was carried out using simulations on the Simulink Matlab R2021a software to compare a single-phase rectifier circuit and a single-phase rectifier circuit PFC boost converter with voltage and current control. The results of the simulation show that the application of the PFC boost converter successfully reduces THD significantly to below 5% at certain loads. From the results of all tests, PFC can reduce harmonic distortion,improve power efficiency and waveform quality, and show significant differences in the performance of single-phase rectifier circuits with and without PFC.Keywords: Single Phase Rectifier, Power Factor Correction (PFC), Boost Converter, Total Harmonic Distortion, Matlab R2021a
ANALISIS DAN IMPLEMENTASI RANGKAIAN RCD SNUBBER PADA RANCANG BANGUN DC-DC FLYBACK CONVERTER Fernando, Bagas; Djuriatno, Waru; Nurwati, Tri
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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DC-DC Converters are essential components in modern power systems that convert DC voltage from one level to another. These converters are used in various applications, ranging from electronic devices to industrial needs. One commonly used topology is the DC-DC flyback converter due to its simple design, although it often faces voltage spikes caused by parasitic inductance that can damage the MOSFET. This study designs an RCD snubber circuit to address these voltage spikes. The snubber circuit consists of a resistor, capacitor, and diode installed on the primary winding of the flyback converter transformer. Testing results indicate that the RCD snubber successfully reduces voltage spikes, despite some power dissipation in the resistor. Overall, this circuit effectively protects components from high voltage spikes. Keywords: DC-DC flyback converter, RCD snubber, voltage spikes, power dissipation. 
Rancang Bangun Smart Aquarium Menggunakan Metode Fuzzy Logic Mamdani untuk Ikan Botia Berbasis Internet of Things Faturrahman, Vieri; Nurussa’adah, n/a; Maulana, Eka
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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Botia fish are freshwater ornamental fish with high visual appeal and economic value. However, this species is currently threatened due to overfishing and challenges in breeding. Botia fish typically thrive in optimal environments with a pH range between 5.0 - 7.5, temperatures of 24-31°C, and good water quality management, including dissolved water particles. Suitable parameters can enhance the fish’s skin color and maintain their health. Therefore, this research aims to design and implement an Internet of Things (IoT)-based Smart Aquarium system using the Mamdani Fuzzy Logic method to improve the maintenance of Botia fish. The system monitors and controls water quality in real-time, including water temperature, dissolved particles, water pH, and manages automatic feeding. In this study, the methods employed include system flowchart design, equipment specifications, and hardware development using an Arduino Uno microcontroller and ESP8266. Sensors such as the temperature sensor (DS18B20), pH, and TDS were installed to measure aquarium conditions, while actuators like heaters, fans, peltier modules, servos, buzzers, and pumps were used to control the state of the Smart Aquarium. The results of this study showed an average accuracy of sensors, actuators, and the system above 97,136 % and demonstrated the system’s ability to regulate temperature and water quality optimally for Botia fish. This research is expected to provide an innovative solution for the challenges of Botia fish maintenance in the context of a sustainable environment.Keywords: The Botia fish, Smart Aquarium, Internet of Things, Mamdani Fuzzy Logic
RANCANG BANGUN ALAT PENERJEMAH KATA BAHASA ISYARAT PORTABEL DENGAN METODE KEYFRAME-BASED SEQUENCE CLASSIFICATION BERBASIS RASPBERRY PI ZERO 2 W Ikhsan, Muhammad; Djuriatno, Waru; Mudjirahardjo, Panca
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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Sign language is the primary communication tool for individuals with speech disabilities. Information in sign language is conveyed through unique hand gestures and movement patterns. However, this uniqueness often becomes a barrier for those unfamiliar with it, making it challenging for people with speech disabilities to interact with individuals who do not understand sign language, whether in their surroundings, public spaces, or facilities. This study aims to produce a portable sign language translation device that is easy to carry, can be used independently without assistance, and translates sign language into voice, allowing users to communicate directly, as if they were speaking. The translation device uses CNN technology processed on a Raspberry Pi Zero 2 W to recognize hand gestures and movement patterns. A Keyframe-based sequence classification method is applied to identify keyframes from video recordings of SIBI (Indonesian Sign Language System) gestures. Of the 10 SIBI words, six key frames were identified as input for the classification model, utilizing a TimeDistributed architecture with MobileNetV2 for feature extraction, followed by 1D convolution. The model was optimized for efficiency and performance to enhance inference time and classification accuracy. Reducing the number of frames from six to four provided the best balance, with the fastest inference time of 0.5 seconds and validation accuracy of 96.76% using Depthwise Separable Convolution. Real-time testing showed an average accuracy of 98.31%, with the highest F1-score reaching 100% for the words "Ini" and "Bagaimana", while the lowest F1-score of 83.1% was achieved for the word "11" and 83.6% for the word "Mana". The device consumes 53.81 Wh and is capable of operating for20 hours in a usage scenario of 8 hours active use and 12 hours in idle mode before the next charging.Indeks Terms— Keyframe-Based Sequence Classification, Hand Gesture Classification, Portable Sign Language Translator Device, MobileNetV2.
RANCANG BANGUN SISTEM PENDINGIN PELTIER DAN MONITORING SUHU PADA PANEL SURYA Khalid, Muhamad; Nurussa’adah, n/a; Maulana, Eka
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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Solar energy as a sustainable renewable energy source has become a major focus in energy technology research and development. Solar panels that convert solar energy into electricity are important role in this energy transition. The performance of solar panels is measured through output parameters such as voltage and current, which are influenced by several factors, especially temperature. Every 1°C (from 25°C) increase will result in a decrease in power of 0.25% to 0.5%. Therefore, this research aims to design a peltier cooling system using the Thermoelectric Cooler TEC1-12706 to reduce the temperature of solar panels and increase the power produced. This system is equipped with an MLX90614 temperature sensor to monitor and limit the effect of cooling, and an INA219 current and voltage sensor to monitor panel performance. Data can be accessed in real time through the Blynk application. The study was conducted on December 13 – 18, 2024 at 10.00 WIB – 11.00 WIB at coordinates 7°57'03.8"S 112°37'41.4"E. The results showed that temperature measurements using the MLX90614 has an accuracy range of 99.70% to 99.94%. Meanwhile, current and voltage measurements using the INA219 has an accuracy range of 99.17% to 100% and 99.33% to 100%. The performance results of the Blynk application as a monitor function well by being able to display values and graphs of current, voltage, temperature, power and cooling indicators. This system has a power requirement of 44.37 W, with the highest temperature drop of 13.78%, the highest current increase of 7.69%, the highest voltage increase of 3.89%, and the highest power increase of 11.82% after using the peltier cooling system. However, the increase in power generated is not proportional to its power usage. Keywords: Solar panel, cooling system, Thermoelectric Cooler, MLX90614, INA219, Blynk. 
Analisis Pengaruh Suhu Terhadap Nilai Tegangan Tembus pada Minyak Kacang Tanah Sebagai Isolasi Cair Setiawan, Aditya Rizky; Dhofir, Moch.; Nurwati, Tri
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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This journal discusses the effect of temperature on the breakdown voltage value of peanut oil to determine the suitability of peanut oil as a liquid insulation in high voltage equipment. The temperature increase is done by heating the oil to a predetermined temperature, namely 24.5 ° C (room temperature), 40 ° C, 50 ° C, 60 ° C, and 70 ° C. Electrical testing (a series of breakdown voltage tests), physical (by testing water content using the gravimetric method carried out at the Chemical Engineering Laboratory, Brawijaya University), and calculating the conductivity value (by measuring leakage current using a DC circuit) and permittivity (using an LCR multimeter). The test was carried out to determine the suitability of peanut oil as an insulating oil. The test results showed that the breakdown voltage values of peanut oil at temperatures of 24.5°C (room), 40°C, 50°C, 60°C, and 70°C were respectively 18.36 kV, 19.06 kV, 23.2 kV, 28.18 kV, and 33.95 kV. In the water content test, the values of peanut oil at 24.5°C (room) and peanut oil at 70°C were 993.6 ppm and 486.6 ppm, respectively. In the conductivity test, the values of peanut oil at 24.5°C (room) and peanut oil at 70°C were 21.23× 10^(-9) S/m and 18.22× 10^(-9) S/m, respectively. The results of the relative permittivity test obtained the values of peanut oil at 24.5°C (room temperature) and peanut oil at 70°C were 2.49 and 2.89, respectively. It can be concluded that the effect of increasing temperature can increase the breakdown voltage value of peanut oil, however, from the test data that meets the SPLN 49 standard in 1982, which is 30kV/2.5mm, peanut oil at a temperature of 70°C with a voltage value of 33.95 kV/2.5mm, while at other temperatures it has not met the SPLN 49 standard in 1982. When viewed from the water content level, peanut oil has not met the maximum standard permitted by SPLN 49 in 1982, which is 30 ppm. Keywoards: Breakdown voltage, water content, conductivity, relative permittivity, insulating oil, peanut oi
RANCANG BANGUN SISTEM PENGENDALIAN INTENSITAS CAHAYA PADA SMART GREEN HOUSE UNTUK BUDIDAYA TANAMAN PAPRIKA MENGGUNAKAN FUZZY LOGIC Marcia, Hadrian Wijaya; Nusantoro, Goegoes Dwi; Yudaningtyas, Erni
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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This study aims to design and evaluate a light intensity control system for a smart greenhouse using Fuzzy Logic to support the cultivation of paprika (Capsicumannuum). Paprika requires a specific light intensity of approximately 3500 lux for optimal growth; however, tropical conditions in Indonesia often result in excessive or fluctuating light intensity, hindering photosynthesis. The system was developed using a BH1750 sensor, ESP-32 microcontroller, AC Light Dimmer, and LED Grow Lights, integrated with ThingSpeak for real-time data monitoring. The control system utilized Mamdani Fuzzy Logic with the centroid defuzzification method. Testing was conducted under disturbance-free conditions and with external disturbances to assess system performance. The results demonstrated that the system effectively maintained the light intensity at the 3500 lux setpoint with a settling time of 120 seconds, a recovery time of 30 seconds, a steady-state error below 5%, and an overshoot of less than 10%. Additionally, the system adapted well to external disturbances, ensuring stable lighting conditions to meet the plants' needs. These findings highlight the effectiveness of Fuzzy Logic in automated light control for smart greenhouses, providing an optimal environment for paprikacultivationIndex Terms— Smart greenhouse, Fuzzy Logic, Paprika, Light Control, BH1750, ESP-32, LED Grow Lights, Thing Speak
ANALISIS KELAYAKAN MINYAK TRANSFORMATOR DIDASARKAN PADA PARAMETER STANDAR MINYAK ISOLASI PADA TRANSFORMATOR DAYA 60 MVA DI GARDU INDUK KILIRAN JAO Fikri, Al Hadi; Dhofir, Moch.; Utomo, Teguh
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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Testing and analyzing the condition of power transformer oil is very important to ensure the reliability and optimal performance of the transformer during operation. This research was conducted on the 60 MVA unit 2 power transformer at Kiliran Jao Substation with a focus on testing transformer oil characteristics and dissolved gas analysis (DGA). This transformer has a strategic role in electrical power distribution, where transformer oil is used as an insulating and cooling medium to support optimal device performance. This research consists of several stages. The first stage is a literature study, which is carried out by collecting theories through relevant articles, journals, and previous research to support the research discussion. The second stage is field observation, which is carried out at PT PLN (Persero) UPT Padang to learn how to take oil samples and the parameters tested. The transformer studied was a 60 MVA 150 kV power transformer unit 2 with serial number 3011170055. Furthermore, primary and secondary data were collected. Primary data includes transformer specifications and field test results, while secondary data includes historical data of previous test results. These data are then processed to analyze the physical and chemical condition of the transformer oil and detect dissolved gases that indicate potential internal faults. The data obtained was evaluated by comparing it against the IEEE 2008 standard to determine the operational feasibility of the transformer oil. The DGA test results show that the total combustible gas concentration (TDCG) is at Condition 1, which means the transformer oil is still safe for normal operation. However, there are indications of ethane gas (C₂H₆) in Condition 4, with concentrations exceeding the threshold indicating potential overheating in the temperature range of 300°C to 500°C. Testing the characteristics of transformer oil shows that parameters such as breakdown voltage, moisture content, acid content, viscosity, color, sediment, flash point, and interface tension are in good condition according to applicable standards. In conclusion, although the transformer oil is still suitable for use, intensive monitoring is needed of certain parameters, especially ethane gas, to anticipate the potential for overheating that can interfere with transformer reliability. Routine maintenance and advanced analysis are needed to maintain oil quality and prevent transformer damage, so that the operational sustainability of the power distribution system can be guaranteed. This research emphasizes the importance of periodic testing as a preventive measure to improve electrical system reliability.Keywoards: Analysis, Dissolved Gas Analysis, Characteristics, Nynas Nitro Lybra oil

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