Kajian Komposisi Vegetasi terhadap Konsentrasi Karbon Dioksida (CO₂) di Ruang Terbuka Hijau Alun-Alun Lamongan

Febrianti, Rizka Hersinta (2026) Kajian Komposisi Vegetasi terhadap Konsentrasi Karbon Dioksida (CO₂) di Ruang Terbuka Hijau Alun-Alun Lamongan. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Ruang Terbuka Hijau (RTH) berperan penting dalam menjaga kualitas udara perkotaan melalui kemampuan vegetasi menyerap karbon dioksida (CO₂) di udara ambien. Kemampuan tersebut dipengaruhi oleh komposisi vegetasi dan kondisi lingkungan di kawasan RTH. Kabupaten Lamongan sebagai wilayah yang mengalami perkembangan aktivitas perkotaan memerlukan kajian mengenai hubungan komposisi vegetasi terhadap konsentrasi CO₂ sebagai dasar pengelolaan RTH yang lebih efektif. Penelitian ini bertujuan menghitung konsentrasi karbon dioksida (CO₂) pada RTH dengan berbagai komposisi vegetasi serta menganalisis pengaruh komposisi vegetasi terhadap konsentrasi CO₂ di kawasan Alun-Alun Kabupaten Lamongan. Penelitian menggunakan pendekatan kuantitatif observasional melalui pengukuran langsung konsentrasi CO₂ udara ambien pada tujuh titik pengamatan selama tujuh hari berturut-turut pada periode pagi, siang, dan sore hari. Data dianalisis menggunakan regresi polinomial untuk memperoleh pola perubahan konsentrasi CO₂ terhadap waktu, diferensiasi dan integrasi numerik metode trapesium untuk menghitung nilai kumulatif konsentrasi karbon dioksida (KCO₂). Perbedaan konsentrasi CO₂ berdasarkan waktu dianalisis menggunakan uji Friedman, sedangkan hubungan komposisi vegetasi terhadap nilai KCO₂ dianalisis menggunakan uji korelasi Spearman dan regresi linear. Hasil penelitian menunjukkan bahwa konsentrasi CO₂ berada pada rentang 395,51–412,45 ppm, dengan konsentrasi terendah pada komposisi vegetasi pohon dan semak serta tertinggi pada titik tanpa vegetasi. Uji Friedman menunjukkan adanya perbedaan konsentrasi CO₂ yang signifikan berdasarkan waktu pengamatan (p = 0,004). Seluruh titik memiliki nilai KCO₂ negatif dengan rata-rata kawasan sebesar −60 ppm, sehingga kawasan RTH Alun-Alun Lamongan masih berfungsi sebagai penyerap karbon (carbon sink). Nilai KCO₂ terbesar diperoleh pada Titik 1 sebesar −105 ppm, sedangkan terkecil pada Titik 7 sebesar −33 ppm. Hasil uji Spearman menunjukkan hubungan negatif yang lemah dan tidak signifikan (ρ = −0,262; p = 0,5704), sedangkan regresi linear menghasilkan R² = 0,1046, yang menunjukkan bahwa komposisi vegetasi hanya menjelaskan 10,46% variasi nilai KCO₂. Dengan demikian, komposisi vegetasi berkontribusi terhadap reduksi konsentrasi CO₂, namun pengaruhnya relatif kecil dibandingkan faktor lingkungan lainnya.
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Urban areas face increasing challenges in maintaining air quality due to growing anthropogenic activities and carbon dioxide (CO₂) emissions. Vegetation within Green Open Spaces (GOS) plays an important role in mitigating these impacts through its ability to absorb carbon dioxide (CO₂) from ambient air. This ability is influenced by vegetation composition and environmental conditions within the GOS area. Lamongan Regency, as an area experiencing urban development, requires an assessment of the relationship between vegetation composition and CO₂ concentration as a basis for more effective GOS management. This study aimed to determine carbon dioxide (CO₂) concentrations in GOS with various vegetation compositions and to analyze the influence of vegetation composition on CO₂ concentrations in the Alun-Alun Lamongan area. This study employed a quantitative observational approach through direct measurements of ambient air CO₂ concentrations at seven observation points for seven consecutive days during morning, midday, and afternoon periods. The data were analyzed using polynomial regression to determine the pattern of CO₂ concentration changes over time. Numerical differentiation and integration using the trapezoidal method were applied to calculate the cumulative carbon dioxide concentration value (KCO₂). Differences in CO₂ concentrations based on observation periods were analyzed using the Friedman test, while the relationship between vegetation composition and KCO₂ values was analyzed using Spearman correlation and linear regression. The results showed that CO₂ concentrations ranged from 395,51 to 412,45 ppm, with the lowest concentration observed in areas dominated by tree and shrub vegetation, while the highest concentration was found at locations without vegetation. The Friedman test indicated a significant difference in CO₂ concentrations among observation periods (p = 0.004). All observation points exhibited negative KCO₂ values, with an average value of −60 ppm across the study area, indicating that the Alun-Alun Lamongan GOS area still functions as a carbon sink. The highest KCO₂ value was recorded at Point 1 with −105 ppm, whereas the lowest value was observed at Point 7 with −33 ppm. The Spearman correlation test showed a weak negative and statistically insignificant relationship (ρ = −0,262; p = 0,5704), while linear regression produced an R² value of 0,1046, indicating that vegetation composition explained only 10.46% of the variation in KCO₂ values. Therefore, vegetation composition contributes to reducing CO₂ concentrations; however, its influence is relatively limited compared to other environmental factors.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Alun-Alun Lamongan, Karbon Dioksida (CO₂), Komposisi Vegetasi, Konsentrasi CO₂, Ruang Terbuka Hijau, Keywords: Alun-Alun Lamongan, Carbon Dioxide (CO₂), CO₂ Concentration, Green Open Space, Vegetation Composition.
Subjects:	T Technology > TD Environmental technology. Sanitary engineering T Technology > TD Environmental technology. Sanitary engineering > TD171.75 Climate change mitigation T Technology > TD Environmental technology. Sanitary engineering > TD194.6 Environmental impact analysis T Technology > TD Environmental technology. Sanitary engineering > TD883.5 Air--Pollution
Divisions:	Faculty of Civil Engineering and Planning > Environment Engineering > 25201-(S1) Undergraduate Thesis
Depositing User:	Rizka Hersinta Febrianti
Date Deposited:	22 Jul 2026 02:31
Last Modified:	22 Jul 2026 02:31
URI:	http://repository.its.ac.id/id/eprint/136495

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