Muttaqi, Muhamad Firdaus (2025) Kombinasi Metode Fuzzy-Ahp And Combined Compromise Solution (COCOSO) Dalam Pemilihan Proyek Pengurangan Emisi Gas Rumah Kaca : Studi Kasus Pada Perusahaan Tambang Nikel. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Studi ini menawarkan pendekatan baru dalam pengambilan keputusan strategis di industri pertambangan nikel dengan menggabungkan metode hybrid fuzzy-AHP dan Combined Compromise Solution (CoCoSo) untuk mengevaluasi berbagai proyek dekarbonisasi secara simultan dan terukur. Pendekatan ini memberikan solusi yang rasional terhadap ketidakpastian dalam penilaian multi-kriteria serta menghasilkan kompromi yang seimbang antar alternatif proyek. Latar belakang studi ini adalah tuntutan global terhadap industri pertambangan nikel di Indonesia untuk mengimplementasikan praktik pertambangan hijau berkelanjutan, khususnya dalam menurunkan emisi gas rumah kaca (CO₂-eq) sebesar sekitar 29% pada tahun 2030. Salah satu perusahaan nikel terintegrasi di Indonesia tengah menghadapi tantangan dalam menentukan proyek yang paling tepat untuk mendukung target dekarbonisasi tersebut. Untuk itu, penelitian ini menggunakan metode fuzzy Analytical Hierarchy Process (fuzzy-AHP) untuk menangani ketidakpastian dalam pembobotan kriteria dan CoCoSo untuk menghasilkan peringkat akhir dari alternatif proyek yang dievaluasi. Kriteria yang digunakan mencakup aspek teknis, lingkungan, finansial, dan pasokan bahan baku. Selain itu, dilakukan juga analisis sensitivitas untuk menguji konsistensi hasil terhadap perubahan bobot kriteria. Hasil penelitian menunjukkan bahwa kriteria paling berpengaruh dalam proses seleksi proyek adalah penurunan emisi gas rumah kaca (30,4%), efek terhadap sistem (26,8%), dan kelayakan teknologi (16,1%). Sebaliknya, biaya OPEX (9,9%), biaya CAPEX (8,5%), dan pasokan bahan baku (8,4%) memiliki pengaruh lebih rendah. Proyek “Biomass for Kiln” teridentifikasi sebagai alternatif dengan prioritas tertinggi, namun sangat sensitif terhadap penurunan bobot pada kriteria penurunan emisi dan kenaikan bobot biaya CAPEX. Sementara itu, proyek “Hydrotreated Vegetable Oil (HVO)” secara konsisten mendapat prioritas paling rendah. Temuan ini memberikan panduan berbasis data yang komprehensif bagi manajemen perusahaan dalam memilih proyek strategis untuk mendukung target dekarbonisasi.
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This study introduces a novel decision-making approach for the nickel mining industry by integrating the hybrid fuzzy-Analytical Hierarchy Process (fuzzy-AHP) and the Combined Compromise Solution (CoCoSo) method to simultaneously evaluate and prioritize decarbonization project alternatives. This hybrid approach effectively addresses uncertainty in multi-criteria assessments while enabling balanced and rational trade-offs between competing alternatives. The research is motivated by increasing global pressure on Indonesia's nickel mining sector to adopt sustainable green mining practices, particularly by reducing greenhouse gas (GHG) emissions (CO₂-eq) by approximately 29% in 2030. A leading integrated nickel mining and processing company in Indonesia is currently assessing various strategic projects to meet this decarbonization target. To support this evaluation, the fuzzy-AHP method is employed to handle the inherent uncertainty in weighting multiple criteria, while the CoCoSo method is used to rank the proposed projects based on those criteria. The evaluation covers environmental, technical, financial, and supply-related aspects. A sensitivity analysis is also conducted to test the robustness of the results against changes in the weightings of the decision criteria. The results indicate that the most influential criteria are GHG emission reduction (30.4%), system impact (26.8%), and technology feasibility (16.1%), while OPEX (9.9%), CAPEX (8.5%), and raw material supply (8.4%) are less influential. The project titled "Biomass for Kiln" is identified as the top-priority alternative, although it is highly sensitive to a decrease in the emission reduction weight and an increase in CAPEX weight. Conversely, the "Hydrotreated Vegetable Oil (HVO)" project consistently ranks the lowest in priority. These findings provide comprehensive data-driven insights to support company decision-makers in selecting the most strategic project for achieving sustainability goals.
Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | gas rumah kaca, Fuzzy-AHP, CoCoSo, green sustainable mining |
Subjects: | T Technology > T Technology (General) > T56.8 Project Management T Technology > T Technology (General) > T58.62 Decision support systems |
Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
Depositing User: | Muhamad Firdaus Muttaqi |
Date Deposited: | 30 Jul 2025 06:57 |
Last Modified: | 30 Jul 2025 06:57 |
URI: | http://repository.its.ac.id/id/eprint/124069 |
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