Elektron Jurnal Ilmiah (EJI - Department of Electrical Engineering, Politeknik Negeri Padang)
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Analisa dan Optimasi Pengaruh Physical Tunning Terhadap Handover Failure Pada Jaringan 4G LTE Di Kecamatan Kuranji
No full textData collection has been carried out using the drivetest method to determine the quality and problems of the 4G LTE network in Kuranji District, Padang City. The aim of the research is to determine the existence of handover failure and optimize handover failure on the 4G LTE network using the physical tuning method in Kuranji District. The research method is physical tuning for network optimization planning using Atoll software. The research results obtained 2 points of handover failure; at point 1 handover failure latitude -0.9133879 and longitude 100.4189513 served by site Kuranji 3 cell id 326 sec 3 optimization of antenna tilting from 2º to 6.5º, site Kuranji cell id 55 sec 2 optimization of re-azimuth from 140º to 100º , antenna tilting from 2º to 3.5º, antenna height from 23m to 31m. At point 2 handover failure latitude -0.8906544 and longitude 100.4185787, the site serving the Belimbing cell ID 131 sector 3 overshoot occurs, the antenna is tilted from 2º to 8º and the site serving the handover failure area occurs, the Belimbing site cell ID 130 sec 2 tilts the antenna. from 2º to 8. Optimization of physical tuning is able to cover handover failure areas and increase the total performance quality value of RSRP signal strength coverage from 33.46% to 33.74%, SINR from 81.7% to 81.57%, and Throughput optimization results remain the same at 100%
Peramalan Beban Listrik Kabupaten Pesisir Selatan Dengan Analisis Regresi
Full text linkThe more electric vehicles emerge, the more electricity demand will increase in each region. This will encourage electricity providers to increase the number or capacity of generators. The construction of a new power plant requires load forecasting to determine how much capacity the plant will build. This study aims to predict the electrical load in Pesisir Selatan, West Sumatra until 2031 using linear regression analysis and time series. Forecasting is done on each sector of PLN customers. Forecasting is done based on the PLN customer sector. The forecasting sectors are the household, business, social and government sectors. The four test criteria were carried out are namely the coefficient of determination test (R2), the F test, the T test and the mean absolute percentage error (MAPE). The forecasting results show that in 2031 the electricity load for the household sector is 120.1 MW, the business sector is 5.7 MW, the social sector is 56.9 MW and the government is 9.5 MW
Alat Pencegah Dini Kecelakaan Pada Kendaraan Bermotor Berbasis Internet of Things (Studi Kasus Jalur Sitinjau Lauik)
No full textThe creation of an Internet of Things-based motor vehicle early prevetion tool (Sitinjau Lauik Case Study) has been completed.. The aim of this research is to develop a tool to minimize accidents caused by human physiological factors such as fatigue and drowsiness. This device utilizes the MPU 6050 sensor, pulse heart sensor, buzzer, vibration motor, GPS, Arduino Uno and Wemos D1 Mini. The research method began with the construction of the device and the permance testing of the system. The results indicate that the system of this device can detect drowsiness or fatigue by measuring the heart rate at less than 70 bpm using the pulse heart sensor and detecting head movements using the MPU 6050 sensor, where the X- axis angle is > 29,23 ° < - 30,63 ° and the Y-axis angle is > 29,33° < -20,12°. When drowsiness is detected, the device sends notifications via the Telegram application containing the driver’s condition, heart rate, andlocation through a Google Maps link. Subsequently, when the driver is drowsy, the buzzer sounds to provide a warning and the vibration motor provides vibration to give a sensory wake-up signal to the driver, helping to awaken them from a drowsy state. Overall, the device functions effectively
Reduksi Harmonisa Pada Saluran Distribusi Tenaga Listrik Dengan Filter Daya Aktif
Full text linkThe large use of power converters in distribution lines causes poor power quality such as high produces harmonics in an electric power system that arises due to the operation of non-linear electrical equipment. The presence of harmonics in the power system distribution results in a very large loss in the system. In this paper had been done a simulation of power quality improvement through harmonic reduction using parallel active power filter. Active power filters work with control techniques based on the concept of instantaneous power to determine the amount of compensation currents that must be generated by the power compensator power circuit. The compensating current references generated by the control circuit are used by the hysteresis type controller to provide harmonic compensation arising. From the result of simulation using Simulink MATLAB, the harmonic value (THD) decrease caused by the 3 phase rectifier load on a distribution network which is used as case example. The harmonic value before compensated on the network is 27.85% at each phase, while after computing the harmonic value of the network decreases to 1,43% in R phase, 1,49% in S phase, and 1,34% in T phase.
 
Pemanfaatan Yolo Untuk Deteksi Hama Dan Penyakit Pada Daun Cabai Menggunakan Metode Deep Learning
No full textChili plants are one of the horticultural crops in Indonesia which have great potential in the Indonesian economy. However, crop failure often occurs. One of the main factors causing this is pest and disease attacks on chili plants. This requires early prevention which can reduce losses. With today's technological developments, prevention can be done easily and economically by using deep learning methods. YOLO is a deep learning algorithm that is commonly used to detect objects in real time. There are 4 classes that will be tested, namely leaves affected by yellow virus disease, leaf spot, thrips pests, and healthy chili leaves. Testing was carried out with a web-based application created with the flask framework. The accuracy results of the YOLO model training process with epoch 150 were 73%. The precision, recall and mAP values obtained were 77.4%, 67.1% and 75.1%. Testing produces accuracy above 74%. The results of this research still produce accuracy that is not high enough, but the application can be used to detect it well and is quite accurate
Antena Ultrawideband Multiple Input Multiple Output (MIMO) Dengan Struktur Dekopling Pada Ground
No full textThe advancement of technology demands an acceleration in data transmission, where the utilization of UWB MIMO presents a solution to address this issue. However, the implementation of MIMO techniques involving multiple transmitters and receivers leads to an increase in mutual coupling values. This results in a decline in antenna performance. Therefore, a decoupling structure on the ground is employed to minimize mutual coupling values and enhance isolation. The progress of technology calls for expedited data transmission, where the utilization of UWB MIMO presents a solution to address this issue. However, the use of MIMO techniques with numerous transmitters and receivers escalates mutual coupling values. This subsequently leads to a degradation in antenna performance. Hence, a decoupling structure on the ground is employed to minimize mutual coupling values as much as possible and enhance isolation. In this research, a UWB MIMO antenna was designed utilizing a 30 × 40 mm FR-4 Epoxy substrate with a thickness of 0,8 mm and a dielectric constant of 4,4. The antenna was designed using CST Studio 2019 software, followed by fabrication, and subsequently, a comparison was drawn between the simulation and fabrication results.The obtained results have fulfilled the UWB antenna specifications within the frequency range of 3,07 GHz to 11 GHz, with simulated mutual coupling values lower than -15 dB and an envelope correlation coefficient (ECC) value less than 0,01. The resulting radiation pattern is omnidirectional. During the measurements, mutual coupling values of less than -15 dB and good isolation is found within the frequency range of 4,3 GHz to 11 GH
Prediksi Daya Listrik Pada Pembangkit Listrik Siklus Gabungan Berdasarkan Kondisi Lingkungan Menggunakan Metode Machine Learning
No full textThe utilization of machine learning methods in energy simulation enables the optimization of energy use and improves energy efficiency. In this research, the modeling of predicting power output was conducted under full load conditions in a Combined Cycle Power Plant (CCPP) based on the surrounding environmental conditions. Historical data of CCPP operation were used to model and predict power output under various environmental conditions. In this study, four machine learning algorithms, namely Linear Regression (LR), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN), were compared and evaluated for their performance. The evaluation metrics used to measure the model performance were Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and R-Squared. The research results indicate that the Random Forest (RF) model achieved the best performance compared to other models with MAE of 2.314, RMSE of 3.372, and R-squared of 0.961. Additionally, the RF model also performed the best compared to other models in external testing with new data, where RF obtained values of MAE 2.579, RMSE 3.315, and R-squared 0.957. These results are consistent with the previous testing, indicating that RF has stable and reliable performance in predicting larger and more diverse datasets. This research contributes to understanding the potential application of machine learning in the power generation industry, especially in CCPP
Prototype Sistem Monitoring Nutrisi dan Tingkat pH Air pada Budidaya Hidroponik Sayur Pakcoy Menggunakan Teknologi Internet of Things (IoT)
Full text linkThe agricultural industry is critical in supplying food and fiber demands, but there is a demand-supply imbalance due to decreased land availability. Hydroponic techniques can be utilized to alleviate agricultural land loss by using water as a growing medium. Farmers must constantly examine plant condition and harvesting schedules. The pH of the water and nutrients are important indications for hydroponic farmers to monitor. Therefore, the implementation of the Internet of Things (IoT) allows farmers to conduct real-time monitoring more easily and regularly. IoT is defined as a system that allows integrated hardware to communicate with the internet network. The IoT device is built by attaching a NodeMCU 8266 microcontroller to an adapter, which provides electrical voltage while also regulating a water pump that delivers nutrients and water to plants. The acquired data is then transmitted to the blynk program, allowing real-time monitoring of the results via a smartphone. The present research system's usefulness and performance are improved by including pH and TDS sensors. The average accuracy of pH monitoring utilizing a pH sensor and a manual pH meter was 92.09%. Meanwhile, the average accuracy of nutrient monitoring utilizing TDS sensors and a TDS meter was 73.19%
Karakteristik Medan Listrik-Dekat Petir Positive Cloud to Ground
Full text linkThis study was conducted on 19 electric field data near positive lightning cloud to ground (+CG). The electric field change of +CG lightning consist of preliminary breakdown (PB) and return stroke (RS). The analysis conducted in this research are: PB/RS ratio, PB-RS separation, pre-return stroke duration, pulse train duration, and individual pulse duration. Furthermore, the relationship between +CG lightning and cloud image satellite was observed the average value of PB/RS ratio, PB-RS separation, prereturn stroke duration, pulse train duration and individual pulse duration were 13,89%, 91,53 ms, 102,23 ms, 1,20 ms,150,31 μs, respectively
Gangguan Saluran Transmisi di Deteksi Menggunakan Metode Gelombang Berjalan dan Transformasi Wavelet Diskrit
No full textDetermination of fault location using impedance-based methods and the traveling wave method. Many previous studies used the impedance method but found deficiencies; if the fault impedance is high, it affects the accuracy of determining the fault location. Another method uses the global positioning system (GPS), which is less economical because it requires a lot of expensive devices. This research focuses on the traveling wave method popularized by Bewley, which uses high-frequency electromagnetic impulses derived from transient voltage and current faults inside and outside the line. This method ignores the fault type, line resistance, and fault start angle. In analyzing the time difference between the incident and reflected waves, a discrete wavelet transform analysis is used to help determine the location of the disturbance. The Maninjau hydroelectric power plant and the Pauh Limo substation are modeled using an alternative transient program (ATP) with several components and parameters. Modeling is given for one-phase ground disturbance, two-phase ground disturbance, two-phase, three-phase, and lightning surge. Determination of fault locations using single-ended and double-ended methods with a sampling rate of 1 Mhz by varying the type of wavelet (Daubechies 4, Coiflets 4, Symlets 4) The results obtained in determining the location of disturbances based on the type of wavelet, Daubechies 4, have a small error, so the accuracy is high, and the method double ends for all types of interference to obtain a smaller error rate