Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Scientia
Amani Darma Tarigan
Universitas Pembangunan Pancabudi, Medan, North Sumatera, Indonesia
Education Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
An Enhanced Clearly Frequency Yagi Antenna Technique Based On UHF Bryan Wakita; Edy Sutejo; Amani Darma Tarigan
Jurnal Scientia Vol. 13 No. 02 (2024): Education and Sosial science, March - May 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The first thing that needs to be considered in designing an antenna is the frequency used. Frequency affects the size of the antenna. The smaller the antenna, the larger the dimensions of the antenna, and vice versa. The frequency used in this research is the UHF frequency (600 MHz). The antenna designed is a yagi antenna type which is based on this frequency so the size of the antenna is quite large. To be able to reduce the physical size of the antenna by maintaining or increasing the performance of the antenna, one technique that can be applied is the fractal Koch curve technique. From the antenna simulation results, the antenna characteristic parameters were obtained, namely gain of 12.9 dBi, VSWR 1.4, and unidirectional radiation pattern. After applying the fractal Koch Curve technique in iteration 1, an increase in gain of 7.3%, VSWR of 1.18, unidirectional radiation pattern and a decrease in the linear physical length of the antenna was obtained by 7.4%.
An Analysis Transformer Oil Temperature A PT. PLN ULP Medan Sunggal Based On Mathlab Wawan Dermawan; Siti Anisah; Amani Darma Tarigan
Jurnal Scientia Vol. 13 No. 02 (2024): Education and Sosial science, March - May 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Electricity consumption is increasing, this is because consumers are using more and more electric current. As a result, disturbances often occur in the transformer and one of these disturbances is caused by deteriorating insulation. This deteriorating insulation is caused by a lack of monitoring of transformer oil. This research aims to predict the temperature of transformer oil to find out whether the transformer oil is in good, fair or bad condition. The research was carried out by entering breakdown voltage data from PT PLN into the math-lab software using the fuzzy toolbox, then the mathl-ab software will display the temperature level. The results of testing and calculating MPE (Mean Percentage Error) show that the percentage value of correctness for temperature calculations using fuzzy logic is well applied to determine temperature predictions with an average correct value of 83.44% for new oil and 91.852% for used oil.
Co-Authors Bryan Wakita Edy Sutejo Siti Anisah Wawan Dermawan