Rekonstruksi Sistem Akuisisi Data Dengan Filter Menggunakan Wavelet Transform Untuk Meningkatkan Kinerja Buoyweather Station Type II

Syachjaya, Muhamad Iqbal (2018) Rekonstruksi Sistem Akuisisi Data Dengan Filter Menggunakan Wavelet Transform Untuk Meningkatkan Kinerja Buoyweather Station Type II. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Stasiun cuaca berupa Buoyweather dibutuhkan untuk meningkatkan keakuratan informasi cuaca berupa suhu, kelembaban, tekanan udara, kecepatan angin, ketinggian gelombang, kompas dan arah angin. Setiap variabel akan melalui proses akuisisi data. Sebuah sistem tentunya memiliki beberapa kendala, salah satunya adalah noise. Wavelet Transform merupakan filter sinyal yang memiliki performansi sangat baik dalam menangani noise. Sistem akuisisi data pada pen¬elitian sebelumnya terdiri dari 5 sensor yaitu sensor suhu, kel¬embaban, tekanan udara, kecepatan angin, dan arah angin tanpa memiliki data shield untuk menyimpan data di buoy. Pada penelitian ini telah dilakukan rekonstruksi sistem akuisisi data dengan filter menggunakan wavelet transform untuk meningkatkan kinerja buoyweather station type II. Rekonstruksi akuisisi data menambahkan 2 sensor diantaranya ketinggian gelombang dan kompas, dan juga me¬nambahkan media penyimpanan data dan filter menggunakan algoritma wavelet transform. Berdasarkan Analisa data dida¬patkan bahwa hasil rekonstruksi sistem akuisisi data telah sesuai dengan standar dan mengalami peningkatan kinerja diban¬dingkan penelitian sebelumnya pada 6 variabel pengukuran diantaranya suhu udara, kelembaban udara, tekanan udara, kecepatan angin, kompas dan arah angin dan mengalami penurunan kinerja pada 1 variabel yaitu ketinggian gelombang. Penambahan filter menggunakan wavelet transform mampu menurunkan nilai RMSE pada sensor suhu sebesar 0.60 ˚C, kelembaban sebesar 2.13 %Rh, tekanan udara sebesar 0.89 kPa, kecepatan angin sebesar 0.59 km/jam, ketinggian gelombang sebesar 0.36 cm, kompas sebesar 0.76˚, arah angin sebesar 0.26˚ dan kenaikan SNR pada sensor suhu sebesar 32.80, kelembaban sebesar 32.15, tekanan udara sebesar 49.52, kecepatan angin sebesar 20.49, ketinggian gelombang sebesar 18.92, kompas sebesar 39.73, arah angin sebesar 31.68, Serta mengalami peningkatan kinerja dibandingkan penelitian sebelumnya dengan penurunan nilai %RMSE pada variabel suhu sebesar 39.472%, kelembaban sebesar 13.278%, tekanan udara sebesar 9.906%, kecepatan angin sebesar 55.716% dan arah angin sebesar 8.635% sedangkan untuk variabel ketinggian gelombang dan arah angin tidak terdapat data pada penelitian sebelumnya. Berdasarkan uji dinamis di pantai kenjeran surabaya, data cuaca hasil rekon¬struksi sistem akuisisi data menggunakan wavelet transform pada buoyweather station type II telah mampu mengukur kondisi cuaca yang sesungguhnya. ======================================================================================================= Buoyweather weather station is needed to improve the accuracy of weather information such as temperature, humidity, air pressure, wind speed, wave height, compass and wind direction. Each variable will go through the data acquisition process. A system certainly has some constraints, one of which is noise. Wavelet Transform is a signal filter that has excellent performance in handling noise. In this research we have done reconstruction of data acquisition system with filter using wavelet transform to improve buoyweather station type II performance. The previous data acquisition system consists of 5 sensors namely temperature sensor, humidity, air pressure, wind speed, and wind direction without having a data shield to store data in the buoy. Reconstruction of data acquisition adds 2 sensors including wave height and compass, and also adds data storage media and filters using the wavelet transform algorithm. Based on data analysis, the result of reconstruction of data acquisition system has been in accordance with the standard and has improved performance compared to the previous research on 6 variables such as air temperature, air humidity, air pressure, wind speed, compass and wind direction and decreased performance in 1 variable wave height. Addition of filter using wavelet transform able to decrease RMSE value at temperature sensor equal to 0.60 ˚C, humidity equal to 2.13% Rh, air pressure equal to 0.89 kPa, wind speed 0.59 km / h, wave height of 0.36 cm, compass 0.76˚, 0.26˚ and SNR increase in temperature sensor 32.80, humidity 32.15, air pressure 49.52, wind velocity of 20.49, wave height of 18.92, compass 39.73, wind direction 31.68, and improved performance compared to previous research with impairment % RMSE at temperature variable equal to 39,472%, humidity equal to 13,278%, air pressure equal to 9,906%, wind speed 55,716% and wind direction equal to 8,635% while for wave height and wind direction variable no data in previous research. Based on the dynamic test on the beach kenjeran surabaya, weather data reconstructed data acquisition system using wavelet transform buoyweather station type II has been able to measure the actual weather conditions.

Item Type: Thesis (Undergraduate)
Additional Information: RSF 621.398 1 Sya r-1 3100018076961
Uncontrolled Keywords: Akuisisi data, sensor, penyimpanan data, buoyweather , wavelet Transform, Data acquisition, sensor, data storage, buoyweather, wavelet Transform
Subjects: Q Science > QA Mathematics > QA403.3 Wavelets (Mathematics)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: muhamad iqbal syachjaya
Date Deposited: 16 Oct 2020 00:35
Last Modified: 16 Oct 2020 00:35
URI: https://repository.its.ac.id/id/eprint/55708

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