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INDONESIA
Jurnal Mahasiswa TEUB
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Education
Arjuna Subject : -
Articles 23 Documents
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Search results for , issue "Vol. 12 No. 3 (2024)" : 23 Documents clear
EVALUASI SUSUT DAYA AKIBAT DAMPAK HARMONISA PADA TRAFO DISTRIBUSI PT. PLN (Persero) UP3 SURABAYA SELATAN ULP NGAGEL SURABAYA Suwarno, Nastiti Viononny; Utomo, Teguh; Wijono, n/a
Jurnal Mahasiswa TEUB Vol. 12 No. 3 (2024)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Harmonic is a disturbance in the electric power distribution system caused by current and voltage wave distortion. This distortion generally occurs due to the presence of waves with different frequencies, which is the result of multiplying integers with a frequency of 50 Hz. Transformers, which are important tools and often used in electric power systems, can be influenced byharmonics and experience negative impacts. Harmonics can affect all components in an electric power distribution system, although the resulting effects and impacts vary. However, generally, harmonics can cause performance degradation and may also damage distribution components. Because of this, it is important to supervise the impact of harmonics on distribution transformers, which are very important components in electric power systems. If the harmonic level is above the specified limit, it will cause several problems, one of which is the loss in the distribution transformer. To determine the effect of harmonics on power losses on several distribution transformer samples, it is done using the harmonic measurement method on each distribution transformer sample in the ULP Ngagel area with the help of the HIOKI CM-3286-50 multimetre for further data processing. The data used is in the form of the results of measuring power, current, voltage, and THD (Total Harmonic Distortion) of current and voltage. The results obtained after data processing are, can determine the difference in efficiency, loss-loss, effect of current before and after being affected by harmonisa, which harmonisa has a negative effect on the transformer in the form of decreasing efficiency, increasing loss-loss, heating of the transformer caused by excessive current, and so on. Keywords: distribution transformator, power losses, harmonic, total harmonic distortion
PENGARUH PENGOPERASIAN AIR CONDITIONER TERHADAP KUALITAS TEGANGAN DAN ARUS GERBONG KERETA K3 BUATAN PT INKA Putra, Ade Mahendra Darma; Hasanah, Rini Nur; Wibawa, Unggul
Jurnal Mahasiswa TEUB Vol. 12 No. 3 (2024)
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Abstract

One device that is a nonlinear load is AC (Air Conditioner) or air conditioner. This can happen because of the use of induction motors in AC which work using the principles of electromagnetic induction so that they have saturation properties or conditions where the current is not proportional to the voltage. In the manufacture of train carriages by PT INKA on the 612 SS New Generation Train Unit project, two units of AC with specifications of 20,000 kCal, 10 kW are used in each carriage. The use of thisload has the potential to produce harmonic distortion in it. This research focuses on the effect of using AC on the quality of voltage and current waves that occur in K3 train carriages. The research process was carried out by taking in 3 conditions, namely without AC load, AC load, and overall load. The tools used are a Hioki CM3286-50 clamp meter and an oscilloscope. From the test results, it is known that the AC used in K3 train cars produces a THDv of 1.71% R phase, 1.67% S phase and 2.17% T phase. Meanwhile, THDi is 4.94% R phase, 6.37% S phase, and 6.79% T phase. The use of AC load does not have a significant effect on voltage harmonics but has a big effect on current harmonics which when there is no AC load produces a THDi of 59.49% R phase, 29.98% S phase, and 118.14% T phase. However, after using an AC load it produces a THDi of 4.31% R phase, 4.75% S phase, and 6.35% T phase. Because AC has a large current, the THDi value tends to be similar to AC load conditions only. It can be concluded that energysaving lamp loads containing power converter components produce higher harmonics than induction motor loads on AC. Apart from that, the THDv and IHDv values from various load conditions meet the IEEE 519-2014 standard, namely a maximum of 8% for THD and 5% for IHD. The THDi and IHDi values at full load conditions also meet IEEE 519-2014 standards, namely a maximum of 8% for TDD and 7% for IHD orders 3 to 11. Keywords: Harmonics, AC, Non-linear, Voltage, Current
IDENTIFIKASI JENIS TANAH MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN ARSITEKTUR RESIDUAL NETWORK (RESNET-50) DAN MOBILE NETWORK (MOBILENETV2) Syarifah, Naily; Mudjirahardjo, Panca; Razak, Angger Abdul
Jurnal Mahasiswa TEUB Vol. 12 No. 3 (2024)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

The research was conducted to identify soil types using artificial intelligence using the Convolutional Neural Network method.(CNN). This is done to help young farm activists stay up-to-date to get land use information, i.e. by helping in optimizing theidentification of land or land as a growing medium. The study uses the MobileNetV2 and ResNet-50 architectures to identify different soil types. Both architectures compared their performance in identifying soil types through the texture and colour taken on the test image set data. Before doing the training of course the data will be used through pre-processing for the consistency of input and maximize the modeling process. Both were tested by performing several scenarios to obtain each the best performance results of the optimizer, the number of epochs and the learning rate values. Models of both architectures have a high degree of accuracy and precision. 3. For the MobileNet architecture, the V2 produced models with accuracy values of 91.91%, loss of 90.87%, and a prediction time of 0.108 seconds. And for the ResNet-50 architecture the model produced a precision value of 99.08%, precision 99.11%, recall 99.12%, F1-score 99.10%, specification 99.85%, loss 5.02% and forecast time of 0.037 seconds. Keywords: CNN, Soil Classification, MobileNetV2, ResNet-50

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