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      Inventarisasi Emisi Karbon Dioksida Scope 2 Berbasis Microsoft Power Business Intelligence di Industri Komponen Otomotif

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      Date
      2026
      Author
      Oktavia, Nur Kholisah
      Paramitadevi, Yudith Vega
      Saputra, Septian Fauzi Dwi
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      Abstract
      Konsumsi listrik yang tinggi menjadi kontributor utama emisi karbon dioksida Scope 2, sedangkan pemantauan secara manual menghambat identifikasi sumber emisi prioritas. Penelitian ini bertujuan menginventarisasi emisi Scope 2 pada setiap lini produksi menggunakan Microsoft Power Business Intelligence dengan pendekatan location-based berdasarkan Greenhouse Gas Protocol (GHG Protocol) dan metode Tier 1 dari Intergovernmental Panel on Climate Change (IPCC) 2006. Inventarisasi dilakukan menggunakan data konsumsi listrik, hasil produksi, dan faktor emisi periode 2024–2025. Hasil penelitian menunjukkan bahwa emisi Scope 2 menurun dari 12.847,263 ton CO2e pada tahun 2024 menjadi 11.432,672 ton CO2e pada tahun 2025, dengan sistem kompresor sebagai emission hotspot utama. Dashboard Microsoft Power Business Intelligence mempercepat proses inventarisasi sekaligus mempermudah identifikasi emission hotspot. Strategi dekarbonisasi yang direkomendasikan meliputi air leak repair, optimasi tekanan operasi, dan pemasangan variable speed drive.
       
      High electricity consumption is the primary contributor to Scope 2 carbon dioxide emissions, while manual monitoring hinders the identification of priority emission sources. This study aimed to develop a Scope 2 emissions inventory for each production line using Microsoft Power Business Intelligence based on the location-based approach of the Greenhouse Gas Protocol (GHG Protocol) and the Tier 1 method of the Intergovernmental Panel on Climate Change (IPCC) 2006. The inventory was developed using electricity consumption, production, and emission factor data for the 2024–2025 period. The results showed that Scope 2 emissions decreased from 12,847.263 tCO2eq in 2024 to 11,432.672 tCO2eq in 2025, with the compressor system identified as the primary emission hotspot. The Microsoft Power BI dashboard accelerated the emissions inventory process and facilitated hotspot identification. The recommended decarbonization strategies include air leak repair, operating pressure optimization, and the installation of a variable speed drive.
       
      URI
      http://repository.ipb.ac.id/handle/123456789/177828
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      • UF - Environmental Engineering and Management [301]

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      Copyright © 2020 Library of IPB University
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      Contact Us | Send Feedback
      Indonesia DSpace Group 
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