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All Journal Indonesian Journal of Energy Enrichment: Journal of Multidisciplinary Research and Development
Zagloel, Teuku Yuri M.
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Humanities Economics, Econometrics & Finance Energy Engineering Health Professions Social Sciences

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Sustainable Development Assessment on North Jakarta using Indicators and PLS-SEM Lilyana, Lilyana; Lovandhika, Naufal Sanca; Tambunan, Rudy P.; Utomo, Suyud Warno; Zagloel, Teuku Yuri M.; Gozali, Lina
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 Kusumadewi, Karina; Zagloel, Teuku Yuri M.
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.
Identify Critical Success Factors (CSFs) for Sustainable Lean Manufacturing implementation in Indonesia Automotive Industry Firdaus, Muhammad Fariz; Zagloel, Teuku Yuri M.
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.v3i2.363

Abstract

The Indonesian automotive industry, known for its extensive supply chain and high resource consumption, demands operational strategies that promote both efficiency and sustainability. This study explores Sustainable Lean Manufacturing (SLM) as a strategic framework by identifying and prioritizing the Critical Success Factors (CSFs) necessary for its effective implementation. Using a mixed-method approach, the research applied the Delphi technique to gather expert consensus and the Analytical Hierarchy Process (AHP) to rank the identified CSFs. Data were collected through three rounds involving expert panels from various automotive firms with over a decade of experience in lean and sustainability practices. Nineteen CSFs were identified and grouped into six dimensions: Management and Leadership, Human Resources Development, Sustainable Production Process, Environmental Management, Supply Chain Management, and Safety and Well-being. Results show that Management and Leadership is the most influential dimension (51%), with Top Management Commitment ranked as the top CSF (0.2740). The study's methodological novelty lies in combining Delphi and AHP for sector-specific validation, filling the research gap on SLM in Indonesia’s automotive industry. The findings offer a structured decision-making model for practitioners to implement SLM initiatives that align with both operational goals and sustainability regulations. Future research is encouraged to apply this model to other industries and adopt AI-based tools for adaptive strategy development.
Co-Authors Firdaus, Muhammad Fariz Kusumadewi, Karina Lilyana, Lilyana Lina Gozali Lovandhika, Naufal Sanca Rudy P. Tambunan Suyud Warno Utomo