Integration of Hierarchical Clustering and Fuzzy-TOPSIS in Oil and Gas Industry for Supplier Sustainability Performance Evaluation
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A national oil and gas company has developed a short-term plan to select priority suppliers but currently lacks sufficient data to assess contractors’ sustainability performance. This study evaluates the implementation of seven sustainability criteria using Request for Information (RFI) data, classifies contractors through Hierarchical Clustering, and identifies dominant clusters and criteria using the Fuzzy-TOPSIS method. A descriptive quantitative approach was applied, with 24 of 59 contractors providing complete responses. Hierarchical Clustering grouped contractors based on sustainability performance similarity, while Fuzzy-TOPSIS provided a comprehensive evaluation. Results show that Cluster 4 (37.5% of contractors) achieved the highest Closeness Coefficient Index (CCi), indicating the best sustainability performance, whereas Cluster 1 (8.3%) had the lowest CCi. Waste Management is the dominant criterion in Cluster 4, while Procedure & Policies is most significant in Cluster 1. These findings suggest that the integrated approach can support the company in identifying and prioritizing contractors for strategic engagement based on sustainability readiness.
Kayla Malyka Humaira, Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti
received the B.Eng. degree in Industrial Engineering from Universitas Trisakti in 2025, with a final project titled “Integration of Hierarchical Clustering and Fuzzy-TOPSIS in Oil & Gas Industry for Supplier Sustainability Performance Evaluation.” The research was based on real industry data collected during her internship in the Supply Chain Management Division of an oil and gas company, where she was involved in vendor evaluation and category management processes. She also completed a second internship in the Risk Management Division at a state-owned enterprise. During her undergraduate studies, she served as a laboratory assistant at the Statistics Laboratory and actively supported academic and research projects related to decision-making, data analysis, and sustainable supply chain management. In addition, she was actively involved in student organizations, contributing to various campus activities and leadership programs. She can be contacted at: malyka0411@gmail.com
Dadang Surjasa, Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti
completed his undergraduate studies in Mathematics at Institut Teknologi Bandung (ITB) in 1993. He earned his Master’s degree in Industrial Engineering Management from Universitas Indonesia, focusing on the use of barcode and electronic data interchange (EDI) in logistics. Concurrently, he worked as Logistics Manager at EAN Indonesia (now GS1 Indonesia) and as Training Manager at the Indonesian Institute of Logistics Management (LMLI). In 2011, he completed his PhD in Agricultural Industrial Technology at IPB University with research on decision support systems for rice supply chain management. He is currently a lecturer at Universitas Trisakti, involved in both undergraduate and graduate programs, and holds certifications including CPLM and CISCP. He can be contacted at: dadang@trisakti.ac.id
Anik Nur Habyba, Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti
was born in Ponorogo, East Java, Indonesia. Since July 2019, she has been a lecturer with the Industrial Engineering Department at Universitas Trisakti, Jakarta, Indonesia. Starting in April 2023, she took responsibility as head of the Quality Engineering Laboratory and, in August 2023, as the secretary of the Master program of Industrial Engineering. Her research interests include Kansei engineering, data mining, quality engineering, applied statistics, and industrial management. She is an Associate Editor of the Journal Industrial Servicess (JISS) an international journal published by Sultan Ageng Tirtayasa University and Jurnal Teknik Industri, Universitas Trisakti. She can be contacted at: anik@trisakti.ac.id
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