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Estimasi Emisi CO2 dari Aktivitas Permukiman di Kelurahan Aur Kenali Kota Jambi Ilham Akbar; Anggrika Riyanti; Siti Umi kalsum; Peppy Herawati
Jurnal Ilmiah Universitas Batanghari Jambi Vol 26, No 1 (2026): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v26i1.6458

Abstract

The escalation of Greenhouse Gas (GHG) emissions, particularly carbon dioxide (CO₂), has become a critical global climate change issue with significant implications for Indonesia. This study quantifies CO₂ emissions from household activities in Aur Kenali, Jambi City, covering electricity consumption, LPG usage, transportation, and waste management. Using a descriptive quantitative approach with 100 respondents, the data were analyzed based on the 2006 IPCC guidelines.The results reveal a total emission of 47.02 tons CO₂-eq from the sampled households. The primary contributor is electricity consumption at 23.14 tons CO₂-eq (49.21%), followed by transportation at 15.39 tons CO₂-eq (32.73%), waste management at 5.35 tons CO₂-eq (11.38%), and LPG usage at 3.14 tons CO₂-eq (6.68%). These findings indicate that electricity usage is the dominant emission source in the study area, highlighting the urgent need for enhanced environmental education to foster more sustainable community behavioral changes.
Sebaran Spasial Emisi Karbon Dioksida (CO₂) dari Aktivitas Rumah Tangga di Kelurahan Aur Kenali Kota Jambi Fajri Muqorrobin; Hadrah Hadrah; Anggrika Riyanti; Siti Umi Kalsum; Monik Kasman
Jurnal Ilmiah Universitas Batanghari Jambi Vol 26, No 1 (2026): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v26i1.6457

Abstract

This study aims to analyze the magnitude and spatial distribution pattern of carbon dioxide (CO₂) emissions generated from household activities in Aur Kenali Village, Telanaipura District, Jambi City. Emissions were estimated from electricity consumption, LPG usage, transportation activities, and household waste generation. A quantitative approach was applied through questionnaires to representative households. Emission calculations were conducted using standard emission factors. Spatial analysis employed Geographic Information System with the Inverse Distance Weighted (IDW) interpolation method to model emission distribution. The results indicate that electricity and LPG are the largest contributors to household emissions. The IDW map reveals emission concentrations in densely populated residential zones and areas with high economic activity. The study provides spatial information to support local mitigation policies.