FIZANDRO, GIAN (2021) PERMODELAN ATENUASI SINYAL C/N VSAT (VERY SMALL APARTURE TERMINAL) TERHADAP INTENSITAS HUJAN MENGGUNAKAN METODE FUZZY ANFIS. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
Very Small Aperture Terminal (VSAT) is a technology that supports the delivery of information from isolated places or remote areas (rural-area). Vsat is a form of satellite communication system with antennas up to 4m in diameter, spread over many locations and connected to a central hub via satellite. In this VSAT communication system, careful assessment is needed because is vulnerable, especially to atmospheric conditions, especially rain, where as when ther is high degree of rainfall, there will be an aspect of rain attenuation, so that the emission power received will be damped.Fuzzy Adaptive Neuro Fuzzy Inference System (ANFIS) is a kind of artificial neural network based on Takagi-Sugeno Fuzzy inference system. The Fuzzy ANFIS method is expected to produce a system that is capable of continuous learning and is able to provide output in the form of attenuation modeling of rain intensity with a good level of accuracy. From the results of the calculation of the data comparison, the average C/N (Carier to noise) difference between each calculation model and the experiment at the location was determined. In ITU-R attenuation modeling an average difference of 1.42 dB is obtained, for Global crane attenuation modeling an average difference is 0.94 dB, for SAM attenuation modeling an average difference is 1.38 dB, for Modified ITU-R attenuation modeling an average difference is 0.98 dB, and attenuation modeling using Fuzzy ANFIS obtained an average difference of 0.45 dB. The application of the Adaptive Neuro Fuzzy Inference System (ANFIS) method to determine rain attenuation has an overall accuracy close to the attenuation measurement value at the location. Keywords: VSAT, Rain Intensity, Attenuation, Fuzzy ANFIS Teknologi Very Small Aperture Terminal (VSAT) merupakan teknologi yang mendukung pengiriman informasi dari tempat yang terpisah-pisah maupun daerah terpencil (rural-area ). Vsat merupakan sistem komunikasi satelit dengan antenna berdiameter hingga 4m, yang tersebar di banyak lokasi dan terhubung ke HUB sentral melalui satelite. Didalam sistem komunikasi VSAT ini diperlukan pengkajian cermat karena sengat rentan, terutama terhadap kondisi atsmofir khususnya hujan, dimana ketika semakin tinggi hujan maka akan ada aspek redaman hujan, sehingga daya emisi yang di terima akan teredam.Fuzzy Adaptive Neuro Fuzzy Inferensi System (ANFIS) adalah sejenis jaringan syaraf tiruan yang didasarkan pada sistem inferensi Fuzzy Takagi-Sugeno. Metode Fuzzy ANFIS diharapkan dapat menghasilkan suatu sistem yang mampu berlajar terus menerus dan mampu memberikan hasil keluaran berupa pemodelan redaman terhadap intensitas hujan dengan tingkat akurasi yang baik. .Dari hasil perbandingan data secara perhitungan, ditentukan selisih rata-rata C/N (Carier to noise) dari masing-masing pemodelan perhitungan dengan percobaan di lokasi . Secara pemodelan redaman ITU-R didapatkan selisih rata-rata 1.42 dB, untuk pemodelan redaman Global crane didapatkan selisih rata-rata 0.94 dB , untuk pemodelan redaman SAM didapatkan selisih rata-rata 1.38 dB , untuk pemodelan redaman ITU- R Modifikasi didapatkan selisih rata-rata 0.98 dB , dan pemodelan redaman menggunakan Fuzzy ANFIS didapatkan selisih rata-rata 0.45 dB. Penerepan metode Adaptive Neuro Fuzzy Inference System (ANFIS) untuk menentukan redaman hujan memiliki akurasi secara keseluruhan mendekati nilai pengukuran redaman dilokasi. Kata kunci : VSAT, Intensitas Hujan, Redaman , Fuzzy ANFIS
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