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Sinergi International Journal of Logistics
Published by YAYASAN SINERGI KAWULA MUDA
ISSN : -     EISSN : 29886244     DOI : 10.61194/ijat
Core Subject : Social,
Social Sciences
Sinergi International Journal of Logistics with ISSN Number 2988-6244 (Online) published by Yayasan Sinergi Kawula Muda is a scientific periodical publication of the Yayasan Sinergi Kawula Muda. The scope of the article includes: Transport Management Logistic Management Port Transport Management Marine Management Multimodal Transport Management Supply Chain Management Safety and Environmental of Logistics Safety and Environmental of Transport
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2024): February 2024" : 5 Documents clear
The Effect of Inventory Control on the Work Productivity of Inventory Division Employees at PT Duta Sentosa Yasa (MR DIY) KBN Marunda Kesumo, Sabil Wijoyo; Suprayitno, Degdo; Latunreng, Wahyuddin
Sinergi International Journal of Logistics Vol. 2 No. 1 (2024): February 2024
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/sijl.v2i1.120

Abstract

This study examines the effect of Inventory Control on Work Productivity of the Inventory Division at PT. Duta Sentosa Yasa (MR.DIY) KBN Marunda. The population in this study is only employees of the Inventory division. The number of samples used is 65 people who employees of the Inventory division. The sampling technique uses the saturated sample technique. Data analysis used validity test, reliability test, classical assumption test, normality test, linearity test, simple linear regression analysis, coefficient of determination test and t test. The analysis shows that Inventory Control has a positive influence on Work Productivity. The results showed that the validity test that r count is greater than the r table value of 0.244 with a significant level of 5% and n: 65. Thus, the conclusions of this study indicate that there is a significant influence between Inventory Control on Work Productivity of 59.9% while 40.1% is influenced by other variables.
Capacitated Vehicle Routing Problem (CVRP) with Sweep and Nearest Neighbor Algorithm Ekayanti, Erly; Sugianto; Efendi, Imaduddin Bachtiar
Sinergi International Journal of Logistics Vol. 2 No. 1 (2024): February 2024
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/sijl.v2i1.187

Abstract

The Capacitated Vehicle Routing Problem (CVRP) presents significant challenges in shipping route optimization and logistics management. These challenges include balancing vehicle capacity, minimizing travel distance, and efficiently grouping delivery points, all of which are crucial for enhancing operational efficiency and reducing costs. This research aims to apply a combination of the Sweep and Nearest Neighbor algorithms to address the CVRP, seeking to improve route efficiency and manage vehicle capacity effectively. The Sweep algorithm is employed to cluster pickup points based on their polar angle from the depot, facilitating efficient grouping and optimal vehicle capacity management. Within each cluster, the Nearest Neighbor algorithm is implemented to optimize the sequence of visits, minimizing total travel distance by sequentially selecting the next closest point. The Haversine Distance is used to calculate the distances between points, ensuring geographical accuracy compared to the Euclidean method. Experimental results demonstrate that this hybrid approach yields shorter routes. Quantitative analysis shows a significant reduction 13% in total travel distance when using this combination of algorithms, highlighting its effectiveness in solving the CVRP. This research demonstrates that combining the Sweep and Nearest Neighbor algorithms provides an efficient solution to the CVRP, improving route optimization and vehicle capacity management. The findings contribute valuable insights to logistics management, with practical implications for enhancing shipping route efficiency.
Enhancing Supply Chain Resilience: A Narrative Review of Risk Mitigation Strategies Wufron, Wufron; Judijanto, Loso
Sinergi International Journal of Logistics Vol. 2 No. 1 (2024): February 2024
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/sijl.v2i1.614

Abstract

This narrative review examines current strategies and challenges in supply chain risk mitigation, emphasizing technological, institutional, and collaborative aspects. In response to global disruptions, technologies like AI, Big Data, and IoT enhance supply chain resilience through real-time visibility, predictive forecasting, and adaptive responses. Despite their potential, implementation remains uneven due to structural and contextual barriers. A structured literature review and thematic analysis reveal that while advanced technologies improve decision-making, issues such as operational rigidity, information asymmetry, regulatory hurdles, and supplier dependence persist. Collaborative models, supported by digital platforms and institutional policies, enhance adaptability and performance. Policy tools like supply chain finance and multi-criteria decision-making (MCDM) aid in prioritizing risk strategies. Case studies show that MCDM can reduce disruption time by up to 25% and improve supplier diversification in sectors like pharmaceuticals and agriculture. The review highlights the importance of integrated, context-sensitive approaches and calls for future research into region-specific models, longitudinal studies, and interdisciplinary methods for sustainable supply chain management
Unlocking the Potential of Blockchain for Secure and Efficient Global Supply Chains Sari, Intan Tenisia Prawita; Rauf, Mohamad Iqbal Abdul; Zulfikri, Agung
Sinergi International Journal of Logistics Vol. 2 No. 1 (2024): February 2024
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/sijl.v2i1.615

Abstract

Blockchain technology is rapidly transforming global supply chain management by introducing new levels of transparency, traceability, and operational efficiency. This narrative review aims to evaluate the impact of blockchain integration on supply chain transparency across various sectors. Using a literature-based approach, studies were retrieved from leading databases such as Scopus, Google Scholar, and Web of Science, focusing on applications in food, pharmaceuticals, logistics, and sustainability. The results indicate that blockchain enhances traceability and transparency through decentralized ledgers, enabling real-time data access and reducing fraud, errors, and inefficiencies. Case studies show significant improvements in product tracking, cost reduction, and consumer trust, particularly when combined with technologies like IoT and smart contracts. However, challenges persist, including high implementation costs, limited technical skills, and unequal adoption between large firms and SMEs. Systemic issues such as regulatory uncertainty and lack of stakeholder collaboration further hinder implementation. The discussion highlights the role of public policy and data governance in facilitating adoption and calls for collaborative ecosystems that support blockchain deployment. Limitations in geographic scope, methodological design, and long-term impact assessment were identified, suggesting avenues for future research. Ultimately, blockchain holds significant promise for building sustainable, secure, and efficient supply chains, provided that structural barriers are addressed through targeted policy and inclusive innovation strategies.
From Emissions to Efficiency: A Narrative Review on Sustainable Transportation and Logistics Rauf, Mohamad Iqbal Abdul; Sari, Intan Tenisia Prawita
Sinergi International Journal of Logistics Vol. 2 No. 1 (2024): February 2024
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/sijl.v2i1.620

Abstract

This narrative review explores innovation in green logistics, covering technologies, logistics models, regulations, consumer behavior, and global implementation. It highlights the environmental urgency driving sustainable logistics and identifies key research gaps. Using a systematic method, peer-reviewed articles were analyzed to reveal that technologies like electric vehicles, hydrogen fuel, biodiesel, AI, IoT, and blockchain improve both environmental and operational outcomes. Sustainable models such as multimodal transport, circular logistics, and collaborative distribution reduce emissions and enhance efficiency. The review emphasizes the role of supportive policies, financial incentives, and stakeholder collaboration, with case studies from Germany, China, India, and Malaysia illustrating successful integrated approaches. However, barriers like limited funding, poor infrastructure, and institutional resistance persist. The study calls for cohesive policies, stronger private sector roles, and interdisciplinary research to support the global shift toward sustainable logistics

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