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Who Matters Most? Rethinking Stakeholder Priorities in Nickel Mining Companies Central Sulawesi Ayu Sagita, Virginia; Dwi Abadi, Medi Trilaksono; Rahmawati, Keny; Wisnu Lusantono, Oktarian; Hervianto, Arif
Jurnal Paradigma Vol 29 No 2 (2025): July 2025
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/paradigma.v29i2.15116

Abstract

Community empowerment and development (PPM) is the focus of this study, which examines the nickel mining business in Central Sulawesi, Indonesia. The primary objective of the study is to identify, prioritize, and engage with internal and external stakeholders. Everyone from affected communities to non-profits and even city councils might be considered a stakeholder. It makes use of the Power-Interest Matrix and Freeman's theory of stakeholders. It becomes more difficult to maintain social, economic, and environmental stability as more enterprises relocate to areas with abundant resources. The interplay between stakeholders was investigated in this qualitative study via the use of tools such as social mapping, in-depth interviews, focus groups, field observations, and community involvement forums. Stakeholders' objectives shift with time in response to environmental, social, and political variables, according to the findings. Every one of the matrix's four corners considers the actions and worries of the most influential parties. The findings highlight the significance of adaptive approaches, transparent supervision, and site-specific planning in the success of PPM. Infrastructure, economic resilience, health, and education are just a few sectors that can benefit from hearing from those who will really be using a program. More resources can be used, more people can accept them, and organizations can stay in business longer with the help of stakeholder power mapping. By enhancing the CSR approach with spatial data and participative models, this work improves stakeholder theory. This provides extractive companies with procedures that can be used by many different persons and can be reused.
Konvergensi simulasi dan kecerdasan: Tinjauan terhadap integrasi metode Monte Carlo dan machine learning dalam manajemen risiko Dewi, Ratna Mustika; Wisnu Lusantono, Oktarian; Wahyu Murtyanto, Indra
Jurnal Teknik Industri dan Manajemen Rekayasa Vol 3 No 2 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jtimr.v3i2.13337

Abstract

Integrasi metode Monte Carlo (MC) dan machine learning (ML) merepresentasikan terobosan dalam manajemen risiko modern untuk mengatasi kompleksitas dan ketidakpastian dinamik. Tinjauan sistematis ini mengkaji konvergensi kedua pendekatan tersebut, mengidentifikasi tiga pola integrasi utama: (1) penggunaan ML sebagai surrogate model untuk mempercepat simulasi MC, (2) pemanfaatan MC untuk mengkuantifikasi ketidakpastian dalam model ML, dan (3) penerapan generative ML models untuk pembangkitan skenario stres. Hasil analisis menunjukkan bahwa sinergi ini mampu meningkatkan akurasi prediktif, efisiensi komputasi, dan kapasitas penilaian risiko ekor. Meskipun demikian, tantangan implementasi seperti kompleksitas model dan kebutuhan interpretabilitas masih perlu diatasi. Penelitian ini menyimpulkan bahwa integrasi MC�ML menawarkan paradigma baru yang powerful dan merekomendasikan pengembangan teknik interpretabilitas serta standar validasi sebagai agenda penelitian mendatang.