Analisis Efisiensi Emisi Karbon Perusahaan Industri Batubara Menggunakan Metode Data Envelopment Analysis

Rositasari, Nur Haliza (2025) Analisis Efisiensi Emisi Karbon Perusahaan Industri Batubara Menggunakan Metode Data Envelopment Analysis. Diploma thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemerintah Indonesia telah berkomitmen untuk mewujudkan nol emisi karbon di tahun 2060 dalam rangka mencegah perubahan iklim dan pemanasan global. Namun, pada tahun 2022 Indonesia masih termasuk dalam 10 besar negara penghasil karbon terbanyak di dunia. Peran perusahaan dan industri sangat penting dalam upaya pengurangan emisi karbon, karena sekitar 88% emisi karbon di Indonesia berasal dari sektor industri. Sektor pengadaan listrik dan gas yang memanfaatkan energi batubara dalam prosesnya merupakan salah satu sektor yang berkontribusi dalam menghasilkan emisi karbon terbesar di Indonesia. Tingkat efisiensi perusahaan dalam mengelola sumber daya yang dimiliki menjadi kunci untuk memahami sejauh mana perusahaan mampu meminimalkan biaya dan memaksimalkan manfaat dari upaya pengurangan emisi karbon. Oleh karena itu, pada penelitian ini dilakukan analisis efisiensi dalam mengelola emisi karbon pada perusahaan industri batu baru dengan menggunakan metode Data Envelopment Analysis (DEA), khususnya model SBM dibandingkan model SBM dengan Undesirable Output. Hasil analisis menunjukkan bahwa berdasarkan model SBM dan SBM dengan Undesirable Output, tingkat efisiensi perusahaan batubara di Indonesia bervariasi, dengan 4 dari 24 DMU (ADMR, BIPI, BYAN, GEMS) telah mencapai efisiensi optimal dalam menghasilkan laba bersih dan pengelolaan emisi karbon. DMU yang paling tidak efisien meliputi TOBA, INDY, dan TCPI. Hasil uji Ranking-Bertanda Wilcoxon terdapat perbedaan hasil efisiensi antara model SBM dan model SBM dengan Undesirable Output. Upaya penyesuaian efisiensi bagi DMU yang tidak efisien meliputi pengurangan input (total aset, jumlah ekuitas, jumlah karyawan, penggunaan energi) dan undesirable output (emisi karbon), serta peningkatan desirable output (laba bersih).
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The Indonesian government has committed to achieving zero carbon emissions by 2060 in order to prevent climate change and global warming. However, in 2022 Indonesia is still included in the top 10 most carbon-emitting countries in the world. The role of companies and industry is very important in efforts to reduce carbon emissions, because around 88% of carbon emissions in Indonesia come from the industrial sector. The electricity and gas procurement sector, which utilizes coal energy in the process, is one of the sectors that contributes to generating the largest carbon emissions in Indonesia. The level of efficiency of the company in managing its resources is the key to understanding the extent to which the company is able to minimize costs and maximize the benefits of carbon emission reduction efforts. Therefore, in this study, an efficiency analysis was carried out in managing carbon emissions in new stone industry companies using the Data Envelopment Analysis (DEA) method, especially the SBM model compared to the SBM model with Undesirable Output. The results of the analysis show that based on the SBM and SBM models with Undesirable Output, the efficiency level of coal companies in Indonesia varies, with 4 out of 24 DMUs (ADMR, BIPI, BYAN, GEMS) having achieved optimal efficiency in generating net profit and managing carbon emissions. The most inefficient DMUs include TOBA, INDY, and TCPI. The results of the Wilcoxon Ranking-Marked test showed that there was a difference in efficiency results between the SBM model and the SBM model with Undesirable Output. Efficiency adjustment efforts for inefficient DMUs include reducing inputs (assets, equity, employees, energy) and undesirable output (carbon emissions), as well as increasing desirable output (net profit).

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Data Envelopment Analysis, Efisiensi, Emisi Karbon, Industri Batubara, Carbon Emissions, Coal Industry, Efficiency
Subjects:	H Social Sciences > HA Statistics > HA31.38 Data envelopment analysis.
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Nur Haliza Rositasari
Date Deposited:	16 Apr 2025 07:04
Last Modified:	16 Apr 2025 07:04
URI:	http://repository.its.ac.id/id/eprint/119022

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