Analisis Spasio-Temporal Perubahan Ndvi Terhadap Perubahan Kadar Karbon Monoksida Di Pulau Jawa.

Benedict, Benedict (2022) Analisis Spasio-Temporal Perubahan Ndvi Terhadap Perubahan Kadar Karbon Monoksida Di Pulau Jawa. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Jawa merupakan pulau dengan penduduk terbanyak di dunia. Data dari BPS menyatakan bahwa akan terus terjadi pertumbuhan penduduk di Pulau Jawa dan pada tahun 2035, penduduk Pulau Jawa diprediksi mencapai 167.325.600 jiwa. Banyaknya jumlah penduduk tentunya berbanding lurus dengan banyaknya jumlah kendaraan bermotor, terjadinya konversi lahan dan berkurangnya lingkungan vegetasi. Dari beberapa penelitian yang sudah dilakukan, terdapat beberapa jenis vegetasi yang dapat mereduksi kadar polutan CO (karbon monoksida) dengan maksimal. Terdapat juga beberapa penelitian yang melakukan kajian dan analisis mengenai kecukupan vegetasi untuk penyerapan polutan CO. Pada penelitian ini, dilakukan penelitian untuk mengetahui hubungan antara CO dan vegetasi yang direpresentasikan dengan NDVI. Penelitian dilakukan dengan menggunaakan data CO dari Sentinel-5P selama 3 tahun, data NDVI dan tutupan lahan dari data MODIS. Dari penelitian ini, nantinya akan didapatkan nilai korelasi NDVI dengan karbon monoksida, baik secara temporal dan spasial dan juga korelasi berdasarkan tutupan lahannya. Dari penelitian ini didapatkan bahwa korelasi temporal bulanan dengan median antara NDVI dan CO menghasilkan koefisien korelasi sebesar -0,603 dan diklasifikasikan sebagai korelasi kuat. Ketika diuji dengan korelasi temporal perbulan, didapatkan bahwa didapatkan bahwa korelasi tertinggi berada pada bulan April 2021 dengan koefisien korelasi -0,497 dan korelasi terendah berada pada bulan Desember 2020 dengan koefisien korelsai -0,033. Di sini, terjadi anomali di mana pada bulan November tahun 2021 terjadi korelasi positif. Adanya anomali ini dimungkinkan karena adanya pengaruh dari variasi data yang mengakibatkan inkonsistensi data. Dari penelitian ini, didapatkan bahwa hubungan tutupan awan terhadap NDVI sebesar -0,231 yang berarti pengaruh awan terhadap nilai NDVI tidak signifikan. Selain itu, dilakukan uji korelasi hubungan antara data karbon monoksida dan curah hujan dan menghasilkan koefisien korelasi sebesar -0,169 yang berarti pengaruh curah hujan terhadap data karbon monoksida tidak signifikan. Kemudian, dilakukan juga pengujian menggunakan metode Local Bivariate Relationship (Spatial Statistics), di mana pada penelitian ini didapatkan bahwa hubungan negative linear selalu lebih besar disbanding dengan positif linear meskipun selisihnya tidak signifikan, yaitu 12,24%, 4,19%, dan 4,68%. Dengan metode ini juga, didapatkan bahwa jenis hubungan terbesar antara NDVI dan karbon monoksida adalah undefined complex dengan 35,70%, 35,02%, dan 35,20% yang berarti hubungan antara NDVI dan karbon monoksida memiliki hubungan yang signifikan, namun tidak dapat dikategorikan dengan keempat jenis hubungan lainnya.
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Java is the most populous island in the world. Data from BPS states that its population growth reach 167,325,600 people by 2035. Many residents areundoubtedly directly proportional to the number of fossil fuel vehicles, land conversion, and the reduced vegetation environment. From several studies that have been carried out, there are several types of vegetation that can reduce CO (carbon monoxide) pollutant levels to the maximum. Several studies conduct studies and analyses on plant estimates for CO pollutant absorption. In this study, a study was conducted to determine the relationship between CO and vegetation represented by NDVI. The study was conducted using CO data from Sentinel-5P for 3 years, NDVI and land cover data from MODIS data. This research will yield the spatial and temporal correlation between NDVI and carbon monoxide. In addition, the spatial and temporal correlation yielded is based on the land cover too. From this study it was found that the monthly temporal correlation with the median between NDVI and CO resulted in a correlation coefficient of -0.603 and was classified as a strong correlation, but there were several months that experienced confusion so that it could not be said that there was a significant effect between NDVI and CO. When tested with monthly temporal correlation, it was found that the highest correlation was in April 2021 with a correlation coefficient of -0.497 and the lowest correlation was in December 2020 with a correlation coefficient of -0.033. Here, an anomaly occurs where in November 2021 there is a positive correlation. The existence of this anomaly is possible because of the influence of data variations that result in data inconsistencies. From this study, it was found that the relationship between cloud cover and NDVI was -0.231, which means that the influence of clouds on the NDVI value was not significant. In addition, a correlation test was conducted between carbon monoxide data and rainfall and resulted in a correlation coefficient of -0.169 which means that the effect of rainfall on carbon monoxide data is not significant. Then, testing was also carried out using the Local Bivariate Relationship (Spatial Statistics) method, where in this study it was found that the linear negative relationship was always greater than the positive linear although the difference was not significant, namely 12.24%, 4.19%, and 4 ,68%. With this method also, it was found that the largest type of relationship between NDVI and carbon monoxide was undefined complex with 35.70%, 35.02%, and 35.20% which means that the relationship between NDVI and carbon monoxide has a significant relationship, but cannot categorized with the other four types of relationships.

Item Type:	Thesis (Masters)
Additional Information:	RTG 621.367 8 Ben a-1 2022
Uncontrolled Keywords:	Karbon monoksida, NDVI, tutupan lahan, vegetasi. carbon monoxide, land cover, NDVI, vegetation.
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	13 May 2026 07:57
Last Modified:	13 May 2026 07:57
URI:	http://repository.its.ac.id/id/eprint/133195

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