Analisis Manajemen Risiko Operasional pada Divisi Komersial Perusahaan Perdagangan Produk Turunan Kelapa Sawit PT XYZ.

Abstract

Penelitian ini dilatarbelakangi oleh tingginya kompleksitas risiko operasional di divisi komersial PT XYZ yang berdampak pada stabilitas pasokan, pengiriman, dan mutu produk yang mempengaruhi performa perusahaan. Penelitian ini bertujuan untuk mengidentifikasi, mengevaluasi, dan merumuskan strategi perlakuan risiko operasional berdasarkan kerangka ISO 31000:2018. Data dikumpulkan melalui survei, wawancara mendalam, dan studi dokumentasi internal Perusahaan. Hasil penelitian menunjukkan bahwa terdapat 33 risiko operasional yang berhasil diidentifikasi oleh lima orang narasumber kunci dan selanjutnya dilakukan validasi sehingga diperoleh 25 risiko operasional yang relevan dengan konteks PT XYZ dengan sembilan risiko dikategorikan sebagai prioritas berdasarkan skala probabilitas dan dampak (satu risiko ekstrem dan delapan risiko tinggi). Proses evaluasi dilakukan dengan pendekatan kuantitatif menggunakan skala Likert lima poin dan perhitungan rata-rata geometrik untuk mengukur kemungkinan dan dampak risiko. Strategi perlakuan risiko yang dirumuskan berjumlah 32, dengan 29 di antaranya dinilai siap diimplementasikan dan tiga lainnya membutuhkan studi kelayakan lebih lanjut.

This study is motivated by the high complexity of operational risks in the commercial division of PT XYZ, which affects the stability of supply, delivery, and product quality, ultimately impacting the company's performance. The aim of this study is to identify, evaluate, and formulate risk treatment strategies based on the ISO 31000:2018 framework. Data were collected through surveys, in-depth interviews, and internal company documentation review. The findings reveal that 33 operational risks were initially identified by five key informants, and after validation, 25 relevant risks were confirmed to align with PT XYZ’s context. Among them, nine risks were classified as priority risks (one extreme and eight high) based on probability and impact scales. The evaluation was conducted using a quantitative approach with a five-point Likert scale and geometric mean calculations to measure risk likelihood and impact. A total of 32 risk treatment strategies were formulated, 29 of which were deemed ready for implementation, while three others require further feasibility assessment.