Analisis Pola Musim Dengan Teknik Fast Fourier Transform Pada Data GNSS Di Kalimantan Utara Dan Timur

Ariyanto, Agus (2025) Analisis Pola Musim Dengan Teknik Fast Fourier Transform Pada Data GNSS Di Kalimantan Utara Dan Timur. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemantauan uap air atmosfer melalui GNSS telah menjadi metode esensial dalam meteorologi dan klimatologi modern. Penelitian ini bertujuan mengidentifikasi pola musiman PWV menggunakan teknik FFT pada data GNSS dari 6 stasiun CORS di Kalimantan Utara dan Kalimantan Timur. Data dianalisis untuk mengungkap komponen frekuensi dominan serta hubungannya dengan pola curah hujan di kedua wilayah. Hasil validasi menunjukkan GNSS efektif sebagai alternatif radiosonde, dengan koefisien korelasi Pearson (r) berkisar 0,7172–0,9164, RMSE 3,9220–5,5037 mm, dan bias sistematis <5 mm, menunjukan tingkat keandalan tinggi. Penerapan FFT berhasil mengidentifikasi dominansi frekuensi tahunan (monsunal) dan semi-tahunan (ekuatorial). Analisis spektrum silang dan koherensi memperkuat keterkaitan erat antara PWV dan curah hujan pada frekuensi musiman (koherensi >0,9). Spektrum fase menunjukkan pergeseran sangat kecil (<3,3°), mengindikasikan fluktuasi hampir simultan, di mana PWV berperan sebagai indikator dini presipitasi. Temuan ini membuktikan bahwa integrasi GNSS dan FFT memberikan pemahaman komprehensif terhadap dinamika musiman atmosfer dan hidrologi di wilayah tropis terpencil. Penelitian ini berkontribusi pada peningkatan kapasitas pemantauan meteorologi, peramalan cuaca, dan mitigasi risiko bencana hidrometeorologi di Kalimantan Utara dan Timur.
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Atmospheric water vapour monitoring using Global Navigation Satellite Systems (GNSS) has become an essential method in modern meteorology and climatology. This study aims to identify seasonal patterns of Precipitable Water Vapour (PWV) through Fast Fourier Transform (FFT) analysis of GNSS data from six Continuously Operating Reference Stations (CORS) in North and East Kalimantan. The data were analysed to reveal dominant frequency components and their relationship with rainfall patterns in both regions. Validation results demonstrate that GNSS is an effective alternative to radiosonde, with Pearson correlation coefficients ranging from 0.7172 to 0.9164, RMSE between 3.9220 and 5.5037 mm, and systematic bias below 5 mm, confirming high reliability. The application of FFT successfully identified dominant annual (monsoonal) and semi-annual (equatorial) frequencies. Crossspectral and coherence analyses reinforced the strong linkage between PWV and rainfall at seasonal frequencies (coherence > 0.9). The phase spectrum revealed minimal phase shifts (< 3.3°), indicating near-simultaneous fluctuations, with PWV serving as an early indicator of precipitation. These findings confirm that the integration of GNSS and FFT provides a comprehensive understanding of seasonal atmospheric and hydrological dynamics in remote tropical regions. This research contributes to enhancing meteorological monitoring capacity, weather forecasting, and the mitigation of hydrometeorological disaster risks in North and East Kalimantan.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	FFT, GNSS, PWV, ZTD
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Agus Ariyanto
Date Deposited:	30 Jan 2026 07:13
Last Modified:	30 Jan 2026 07:13
URI:	http://repository.its.ac.id/id/eprint/130443

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