Ica Nur Cahyani, - (2024) METODE TIME SERIES SEASONAL AND TREND DECOMPOSITION USING LOESS UNTUK ANALISIS POLA PERUBAHAN POLUSI CAHAYA DI SEKITAR OBSERVATORIUM DENGAN DATA VIIRS-DNB. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Observatorium merupakan situs penting untuk perkembangan ilmu astronomi maka dari itu kelestarian langit malamnya perlu dijaga. Namun pertumbuhan penduduk dan perkembangan perkotaan serta pertumbuhan ekonomi meningkatkan kecerahan langit malam yang berarti meningkatkan polusi cahaya. Penelitian ini bertujuan untuk mempelajari dan memahami trend dan pola musiman polusi cahaya di sekitar observatorium. Data radiance satelit Visible Infrared Imaging Radiometer Suite-Day/Night Band (VIIRS-DNB) dari tahun 2013 – 2023 dalam radius 100 km dari observatorium diolah menggunakan metode time series seasonal and trend decomposition using loess untuk mendapatkan trend dan pola musiman dari polusi cahaya di sekitar observatorium. Dari analisis grafik trend dan pola musiman di 8 observatorium yaitu, Observatorium Bosscha, Observatorium Nasional Timau, Observatorium Siding Spring, SAAO, Observatorium La Silla, Observatorium Arcetri, dan Observatorium Lowell, serta Observatorium Mauna Kea. Disimpulkan bahwa trend polusi cahaya dari setiap observatorium dari tahun 2013 – 2023 mengalami kenaikan meskipun observatorium tersebut terletak di pegunungan atau tempat terpencil. Beberapa observatorium dalam jangka waktu tertentu pola musimannya berubah sehingga dalam rentang 11 tahun terdapat 2 – 3 pola musiman yang berlangsung. Dengan memahami trend dan pola musiman serta laju pertumbuhan polusi cahaya di sekitar observatorium, diharapkan dapat membantu dalam merancang kebijakan untuk mengatasi polusi cahaya di masa depan, sehingga langit malam tetap terjaga dan pengamatan astronomi dapat dilakukan secara optimal. Observatories are important sites for the development of astronomy, so their night skies need to be preserved. However, population growth, urban development and economic growth are increasing the brightness of the night sky, which means increasing light pollution. This research aims to study and understand the trend and seasonal pattern of light pollution around the observatory. The Visible Infrared Imaging Radiometer Suite-Day/Night Band (VIIRS-DNB) satellite radiance data from 2013 - 2023 within a radius of 100 km from the observatory is processed using the time series seasonal and trend decomposition method using loess to get the trend and seasonal pattern of light pollution around the observatory. From the analysis of trend graphs and seasonal patterns in 8 observatories, namely, Bosscha Observatory, Timau National Observatory, Siding Spring Observatory, SAAO, La Silla Observatory, Arcetri Observatory, and Lowell Observatory, and Mauna Kea Observatory. It is concluded that the light pollution trend of each observatory from 2013 - 2023 has increased even though the observatory is located in the mountains or remote places. Some observatories in a certain period of time the seasonal pattern changes so that in a span of 11 years there are 2 - 3 seasonal patterns that take place. Understanding the seasonal trends and patterns as well as the growth rate of light pollution around observatories is expected to help in designing policies to address light pollution in the future so that the night sky will be preserved and astronomical observations can be carried out optimally.
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| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?user=w1o1CokAAAAJ&hl=id ID SINTA Dosen Pembimbing Judhistira Aria Utama : 6125861 Lala Septem Riza : 5975668 |
| Uncontrolled Keywords: | Polusi cahaya, time series, STL, pola perubahan, VIIRS-DNB Light pollution, time series, STL, change patterns, VIIRS-DNB |
| Subjects: | L Education > L Education (General) Q Science > QC Physics |
| Divisions: | Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Fisika - S1 > Program Studi Fisika (non kependidikan) |
| Depositing User: | Ica |
| Date Deposited: | 11 Sep 2024 16:08 |
| Last Modified: | 11 Sep 2024 16:08 |
| URI: | http://repository.upi.edu/id/eprint/124092 |
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