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Post-Pandemic Shift in Procurement Behavior: Evidence from Logistics Service Selection in the Chemical Industry Ristona Widoretno; Teuku Yuri M Zagloel
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.572

Abstract

Logistics has become increasingly critical in maintaining supply chain stability, particularly in industries such as chemicals where operations involve higher levels of complexity and risk. The disruptions experienced during the COVID-19 pandemic—ranging from transportation delays to cost fluctuations—have not only affected operational performance but also influenced how companies evaluate logistics service providers (LSPs). This study explores how procurement priorities have shifted in response to these changes. By combining the Analytical Hierarchy Process (AHP) and SERVQUAL, the research attempts to capture both what customers consider important and how they perceive actual service performance. The study was conducted at a logistics service provider in Indonesia serving the chemical industry. The findings suggest that assurance, reliability, and responsiveness have become more important than cost in selecting LSPs. However, these same dimensions also show the largest performance gaps. This indicates that, although expectations have changed, service delivery has not fully kept pace. The results highlight the need for logistics providers to adjust their service approach in a more consistent and customer-oriented manner.
Sustainable Development Assessment on North Jakarta using Indicators and PLS-SEM Lilyana Lilyana; Naufal Sanca Lovandhika; Rudy P. Tambunan; Suyud Warno Utomo; Teuku Yuri M. Zagloel; Lina Gozali
Indonesian Journal of Energy Vol. 2 No. 1 (2019): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v2i1.35

Abstract

Indonesia, as the second longest coastline country in the world, contain a huge coastal area need to be managed. One way to manage coastal area is using monitoring systems, yet none of them has been effectively implemented in Indonesia. This research attempts to develop monitoring system using indicators. There were 105 indicators that chosen from references. Each of the indicators were filtered by scoring method and then be processed using PLS-SEM resulting 9 indicators and sustainability development monitoring model. Coastal Area of North Jakarta has been chosen as area to implementing the model since that area are dynamics and growing rapidly. Based on the model, coastal area of North Jakarta has good economic condition (62.2%), medium social condition (46.7%), and bad natural environment condition (38%). Sustainable development seems quite implemented in this area since the balance of Economic-Social-Natural Environment was on the medium and balanced category. By using GIS can be seen that the development that occurred in west side study area are better than middle or east side.
Improving Operational Efficiency of Nickel Ore Port in North Konawe with VSM And Optimization Approach Karina Kusumadewi; Teuku Yuri M. Zagloel
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.356

Abstract

Indonesia, the world's largest nickel producer, has enforced a nickel ore export ban since 2020 to promote domestic downstream processing. This policy surge has intensified port activities, especially in nickel ore logistics, leading to operational inefficiencies such as prolonged barge waiting times, demurrage penalties, and logistics delays at key ports like Lameruru, Southeast Sulawesi. This study applies Lean principles and Value Stream Mapping (VSM) to identify waste and bottlenecks in nickel ore port operations. The research further develops a Genetic Algorithm (GA)-based optimization model to improve barge scheduling and minimize waiting times. Data collected from port operations, stakeholder interviews, and secondary sources reveal that waiting times at the jetty constitute the primary inefficiency, causing nearly half of shipments to incur demurrage. The GA optimization reduced total barge waiting time by 55%, increased immediate docking by 71%, and significantly decreased maximum waiting times, boosting port productivity and reducing costs. The Future State VSM reflects a 79.7% Process Cycle Efficiency, an improvement over the current 69.97%. Despite limitations such as reliance on static historical data and exclusion of real-time dynamic factors, this integrated Lean-VSM-GA approach demonstrates significant potential to enhance Indonesia’s nickel ore logistics, offering actionable strategies for port operators and policymakers to increase competitiveness in the global nickel industry.