Publication Search

This study aims to analyze inventory control of catfish seeds at ABC Company by comparing the conventional inventory method represented by the Economic Order Quantity (EOQ) approach and the Just In Time (JIT) system in order to improve cost efficiency. This research employed a descriptive quantitative approach using a case study design. Data were collected through direct observation, semi-structured interviews with company management, and documentation of inventory and cost records for the 2024 operational period. The analysis method involved calculating optimal order quantities, ordering frequency, delivery frequency, and total inventory costs using EOQ and JIT formulas, followed by a comparative cost efficiency analysis. The results show that the conventional method resulted in a total inventory cost of Rp 75,050,000 per year with high ordering frequency. In contrast, the implementation of the JIT system reduced inventory costs to Rp 18,762,500 per year, achieving a cost efficiency of 72%. These findings indicate that the JIT system is more cost-efficient than the conventional method; however, its implementation requires careful consideration of supplier capacity, logistics readiness, and biological risks associated with live inventory. This study contributes empirical evidence on the applicability of JIT in the aquaculture sector, which has different characteristics from manufacturing industries.

This study aims to analysis the impact of the presence of coal transport parking areas on the Income of the Informal Sector, identify the most dominant factors influencing Income, and examine the socio-economic impact experienced by informal sector business actors in Muara Tembesi District. This study uses a quantitative approach with Multiple Linear Regression analysis and Classical Assumption Tests to test the hypotheses. Data were obtained through surveys of informal sector business owners around the parking areas. The dependent variable is Income, while the independent variables include Age, Education, Working Hours, Initial Capital, and Distance. Comparative descriptive analysis is used to validate socio-economic changes. Data analysis shows that working hours, initial capital, and distance have a positive and significant impact on the income of informal sector business actors, whereas age and education do not significantly affect the income of informal sector business actors. Descriptively, there has been massive welfare migration, indicated by the decrease in the proportion of low-income respondents from 60 percent to only 2 percent after the intervention. The presence of parking pockets has been proven to provide a positive and transformative economic impact for the informal sector. This impact is driven by increased production inputs (Capital and Working Hours). On the other hand, logistics activities generate negative external impacts in the form of dust pollution and security risks, which require strict regulation by the Local Government.

This study discusses allegations of abuse of dominant position by Lion Air Group in the domestic aviation market and air cargo services in Indonesia. By controlling more than 50% of the market share, the group is suspected of unilaterally setting ticket prices and logistics costs, which could hinder healthy business competition and harm consumers and competing airlines. This study uses a normative juridical approach with a descriptive qualitative analysis method, supported by secondary data from legislation, KPPU reports, and academic literature related to competition law. The study's findings indicate that the concentrated market structure and weak regulatory oversight contribute to the formation of dominant behavior that harms the market and consumers. Legally, such actions violate Article 25 of Law Number 5 of 1999, as they result in discriminatory practices and unreasonable price control. Synergy between the KPPU and the Ministry of Transportation is needed to strengthen regulations in the aviation sector in order to create a business climate that is more fair, competitive, and oriented towards public welfare.

This research investigates the application of the Economic Order Quantity (EOQ) method to improve drug inventory management in a primary hospital pharmacy, with a particular focus on reducing storage costs. A descriptive quantitative approach was applied using secondary data from January to December 2024, covering annual demand, purchase price, ordering cost, and holding cost. The analysis concentrated on fast-moving vital essential and moderate vital drugs that are critical for sustaining patient treatment. The study revealed inefficiencies in the hospital's procurement practices, with some medicines simultaneously facing overstock and stockout risks, indicating weak planning. EOQ calculations provided alternative procurement quantities that were smaller but more frequent, resulting in lower storage costs and better stock control. Simulation outcomes demonstrated notable cost savings, particularly for Flamicort, Diazepam, and Ventolin. These findings emphasize the value of integrating EOQ into hospital pharmaceutical logistics to reduce financial losses, strengthen supply chain efficiency, and ensure the continuous availability of essential medicines in primary hospital settings.

This research seeks to examine adaptive and sustainable internal governance approaches to enhance the operations of the Household Division within the General Bureau at the East Java Province Regional Secretariat. The study concentrates on four main elements: the integration and compatibility of SIM-BMD with financial systems and LPSE, technology-driven centralized logistics frameworks, the execution of asset lifecycle SOPs involving preventive maintenance and quick transfer methods, and the enhancement of human resource capabilities through targeted training and the creation of digital leaders. Employing a qualitative descriptive approach within a case study framework, information was gathered via detailed interviews, participatory observation, and analysis of institutional documents. The results indicate that integrating systems improves transparency, efficiency in reporting, and accountability in asset management. The centralized logistics approach paired with intelligent warehouse techniques greatly enhances distribution efficiency and decreases operational expenses. Additionally, proactive asset lifecycle management reduces the chances of asset deterioration and prolongs its useful life. Nonetheless, inconsistent digital skills among staff continue to pose a significant obstacle, necessitating ongoing training initiatives and guidance. The research suggests promoting a data-centric work environment, inclusive digital advancements, and collaboration among departments to establish a professional, effective, and sustainable internal governance framework consistent with the tenets of good governance and smart government

In the fast-moving fashion retail industry, supply chain efficiency is a key factor in operational success. Heybeb Factory Outlet, as one of the retail business actors, faces challenges in managing the flow of goods from upstream to downstream, particularly in balancing demand between offline (physical stores) and online (e-commerce/marketplace) channels. This proposal aims to design and analyze the logistics workflow starting from goods ordering (restocking) from the central warehouse, the goods receiving process, rigorous Quality Control (QC) procedures, storage in a dedicated transit warehouse, and the stock distribution mechanism (stock split) for the two sales channels. The main issues identified include the risk of overselling in one channel while stock accumulation occurs in another, as well as the potential for defective items to pass through due to an unstructured QC process. This study employs a descriptive qualitative approach by mapping out an ideal Standard Operating Procedure (SOP). The expected outcome is the development of an integrated inventory management system capable of minimizing return rates caused by defective items and maximizing inventory turnover through accurate stock allocation between online and offline divisions.

This study aims to analyze the information technology (IT) infrastructure of PT RedEx using SWOT and McFarlan Strategic Grid methods to evaluate internal and external factors affecting IT performance and its strategic positioning. The SWOT analysis identifies strengths, weaknesses, opportunities, and threats, while the McFarlan Grid maps IT systems into four quadrants: Strategic, High Potential, Key Operational, and Support. Data were collected through observation, interviews, and documentation. The results show that PT RedEx’s IT infrastructure supports operational activities but lacks real-time integration across branches. Based on the McFarlan analysis, most systems are in the Key Operational and Support quadrants, indicating a focus on daily operations rather than strategic innovation. Recommendations include system integration through cloud computing, digital transformation, and IT human resource development. The study provides insights into strategic IT planning for logistics companies in the digital era.

This research is aimed at examining the operational strategies carried out by PT. Samudera Sarana Karunia Dumai in ensuring the smooth operation of the Mt. Meghna Trader ship at Pelindo Dumai Port. The main focus of the research is directed at the identification and assessment of the effectiveness of operational strategies which include the planning, implementation, and control stages of various activities such as loading and unloading, logistics, coordination with relevant parties at the port, and operational risk management. This research also includes consideration of external factors, including port regulations, market conditions, available infrastructure, and supply chain dynamics. In addition, this study emphasizes the importance of continuous performance evaluation to ensure that ship operations can run according to safety standards, time efficiency, and procedural accuracy. A qualitative approach with a case study design is used and reinforced by quantitative data to get a more comprehensive analytical picture. Data was obtained through in-depth interviews, direct observations in the field, review of operational documents, and surveys involving internal and external parties who play a role in supporting the operational process of ships at the port.

This study aims to determine how to optimize container loading and unloading activities at PT. Pelindo Multi Terminal Sibolga Branch. Container loading and unloading activities are one of the main activities in port operations that greatly affect the efficiency and productivity of maritime logistics. PT. Pelindo Multi Terminal Sibolga Branch as one of the port service providers has an important role in ensuring the flow of goods in the West Coast of North Sumatra. This study is to analyze and identify factors that affect container loading and unloading performance as well as optimization strategies to improve time, costs, and resource utilization. The methods used in this study include field observations, interviews with related parties, and analysis of historical data on operational activities. The results of the study indicate that the main obstacles come from limited equipment, lack of coordination between parties, and low utilization of information technology. Suggested optimization efforts include the addition of heavy equipment for unloading, increasing workforce training, and digitalizing monitoring and scheduling systems.  

The purpose of this study is to investigate the strategic role of air transportation management in Military Operations Other Than War (MOOTW), particularly in archipelagic contexts such as Indonesia, where rapid humanitarian response, territorial surveillance, and civil–military cooperation are essential for resilience. By applying a Systematic Literature Review (SLR), this article synthesizes findings on humanitarian logistics, technological transformation, and policy frameworks for strengthening national defense readiness. Design/methodology/approach – This study employs a qualitative Systematic Literature Review (SLR) methodology guided by PRISMA principles, analyzing 30 scholarly contributions from 2009–2025, including international peer-reviewed journals, Routledge and Springer volumes, arXiv preprints, and Indonesian academic publications.Results highlight that strategic air  transportation is indispensable for disaster relief, medical evacuation, and supply delivery in archipelagic nations. The adoption of AI, machine learning, UAVs, and reinforcement learning has enhanced responsiveness and equity in humanitarian supply chains. However, persistent challenges include aging fleets, interoperability constraints, and fragmented civil–military coordination. The study underscores the need for modernization of air assets, institutionalized civil–military collaboration, and integration of AI-based routing and command systems. Strengthening these aspects can enhance Indonesia’s resilience and preparedness in MOOTW scenarios. This article uniquely bridges global research on data-driven air power with Indonesian defense perspectives, proposing a scalable strategic framework for air transportation management that advances archipelagic resilience.

This research investigates the impact of the work environment and workload on job satisfaction among employees in the Operational Logistics Division at Pos Indonesia, Surabaya Main Branch. A quantitative method was applied with a total of 45 respondents selected through a saturated sampling technique. Data were obtained using interviews, questionnaires, and observations based on a Likert scale, and analyzed using Partial Least Square (PLS). The results reveal that the work environment has a positive and significant effect on job satisfaction, while workload has a negative and significant effect. These findings indicate that an improved work environment increases employee job satisfaction, whereas higher workloads tend to decrease it.

This study examines the implementation of Green Disaster Management (GDM) policies by the Surabaya City Disaster Management Agency (BPBD) as a means to enhance disaster resilience through environmental sustainability. The research analyzes the integration of GDM principles across all phases of the disaster cycle pre-disaster, during response, and post-disaster recovery. Data was collected through in-depth interviews with key informants, participant observation, and document analysis at BPBD and pilot project sites, including mangrove conservation areas, green emergency posts, and eco-friendly reconstruction sites. The findings indicate that Surabaya has demonstrated significant commitment to embedding sustainability into disaster management through community education, environmentally friendly logistics, and eco-based mitigation measures. Nonetheless, challenges persist, such as limited funding, resistance from developers, logistical constraints, and societal perceptions favoring immediate response over environmental considerations. During disaster response, innovations such as solar-powered emergency equipment and waste segregation practices are being adopted, but their widespread application remains hampered by resource limitations. Post-disaster, efforts in eco-friendly reconstruction and reforestation programs have shown promising results but require enhanced public awareness and long-term maintenance. The success of GDM implementation depends on effective inter-agency coordination, political commitment, and community engagement. Despite progress, hurdles related to budget constraints, social resistance, and knowledge gaps fully hinder the adoption of green approaches. This study highlights the importance of strategic collaboration, policy support, and community participation to mainstream sustainability in disaster management continuously. Strengthening these aspects will not only improve Surabaya's disaster resilience but also contribute to sustainable urban development aligned with global frameworks such as the Sendai Framework for Disaster Risk Reduction.

Purpose –The objective of this research is to analyze the role of advanced materials as a foundation for technological innovation and as a strategic element in strengthening the national defense system. The study focuses on the interrelationships between policy aspects, industry dynamics, and theoretical frameworks to explain the urgency of adopting advanced materials in Indonesia. Design/methodology/approach –This study uses a conceptual approach based on a systematic literature review (SLR) by examining reputable international publications published by Elsevier, Springer, Wiley, Taylor & Francis, IEEE, ACM, ScienceDirect, SAGE, JSTOR and DOAJ as well as national literature indexed by SINTA. The analysis was conducted using a thematic synthesis method that combines regulatory and policy dimensions, empirical data related to budget trends and industrial implementation, and theoretical models including diffusion of innovation, technology acceptance models, and behavioral reasoning theory. Findings –Studies have shown that advanced materials such as lightweight composites, high-entropy materials, smart materials, and functional coatings have a significant role in strengthening military resilience, reducing dependence on imports, and improving the efficiency of defense logistics. However, the adoption of these materials still faces obstacles such as high production costs, limited human resources, and the vulnerability of critical mineral supply chains, which are heavily influenced by global geopolitical dynamics. Practical implications –This study emphasizes the importance of strengthening national research, integrating the defense industry into the DEFEND ID ecosystem, and international collaboration to accelerate technology transfer. Mapping the critical mineral supply chain also needs to be a strategic priority to ensure the sustainability of defense materials development. Originality/value –This article offers a novel contribution through the simultaneous integration of policy perspectives, empirical data, and theoretical frameworks in the context of advanced materials development in Indonesia, an aspect that has rarely been comprehensively explored in previous studies.

This study aims to analyze the influence of Service Quality, Price Perception, and Trust on the User's Interest in the ferry service of KMP Gili Iyang on the Paciran-Bawean route operated by PT. ASDP Indonesia Ferry (Persero) Cabang Paciran. This route plays a critical role as an essential logistics and social link for Bawean Island. The quantitative research used a survey method with an Incidental Sampling technique, involving 100 respondents who are users of the service. The collected data were analyzed using Multiple Linear Regression with SPSS V25. The partial hypothesis test results (t-test) show that Service Quality (β=0.80; p=0.033), Price Perception (β=0.69; p=0.038), and Trust (β=0.587; p=0.000) individually have a positive and significant impact on the User's Interest. The Trust variable was found to be the most dominant predictor, emphasizing the importance of integrity, competence, and operational consistency in essential and high-risk maritime transportation services. The adjusted R-squared value of 60.% indicates that this model provides a strong explanation for the variation in User's Interest. This study provides important implications for managing ferry services by improving service quality, competitive pricing, and building customer trust to increase user interest.

This study analyzes the simultaneous and partial effects of Price (X1), Corporate Image (X2), and Service Quality (X3) on Customer Satisfaction (Y) in cargo shipping services at PT. Serasi Shipping Indonesia, Semarang Branch. The increasingly competitive maritime logistics sector demands a deep understanding of the determinants of business-to-business (B2B) customer satisfaction. Employing an explanatory quantitative design with a saturated population and sample of 100 corporate customers, data were processed using multiple linear regression analysis (SPSS v.22). The t-test results indicate that Price (t=3.813), Corporate Image (t=4.428), and Service Quality (t=2.398) individually have a positive and significant influence on Customer Satisfaction. Simultaneously (F-test, F=37.812), all three variables significantly influence satisfaction, explaining 52.7% of the satisfaction variance. The crucial finding highlights Corporate Image as the most dominant predictor of satisfaction (\beta=0.392). This suggests that in the high-value cargo sector, the company’s reputation and assurance function as primary risk determinants for B2B customers, surpassing the importance of price and purely functional quality. These results offer clear managerial implications for logistics firms in prioritizing the reinforcement of intangible assets to maintain a long-term competitive advantage.

Salam Pacific Indonesia Lines is a company included in the largest domestic shipping industry in the field of logistics and sea transportation services with a focus on inter-island container transportation in Indonesia using ships. This paper aims to determine how the container utilization strategy in improving logistics efficiency by PT. Salam Pacific Indonesia Lines Medan Branch. The process begins with selecting the right type of container, standardization and consolidation of cargo, integration of digital logistics systems, and optimization of routes and modes of transportation. In compiling this paper, the author applies several methods, including field studies or direct observations in the field, and library studies or literature reviews. The goal is to understand more deeply how PT. Salam Pacific Indonesia Lines Medan branch implements a container utilization strategy to improve efficiency in logistics activities. The obstacles faced in handling this are fleet and vehicle constraints, limited promotion and adjustment of application technology, traffic congestion, and weather and safety factors. In addition, inefficiencies in the distribution process, lack of good cooperation and coordination, and technological limitations are obstacles in optimizing container use. Good coordination can improve the service of goods delivery activities so that they can run smoothly, safely and efficiently.

This study evaluated drug inventory management in a primary hospital pharmacy using the Economic Order Quantity (EOQ) method. A descriptive quantitative design was applied with secondary data collected from January to December 2024, covering annual demand, purchase price, ordering cost, and holding cost. The analysis revealed inefficiencies, as several drugs simultaneously faced overstock and stock out risks, indicating weaknesses in procurement planning. EOQ calculations suggested lower and more frequent procurement, reducing storage costs and improving stock control. The findings demonstrated that applying EOQ could minimize financial risks, optimize resource allocation, and ensure continuous access to essential medicines. This research highlights the relevance of structured inventory models in supporting hospital efficiency and sustainable pharmaceutical logistics, particularly in resource-limited primary hospitals.

The construction industry faces major challenges in managing material inventory, particularly among start-up companies that still rely on paper-based manual records. Such practices often lead to data inconsistencies, delays in decision-making, and project inefficiencies. This study aims to analyze the implementation of a cloud-based and real-time inventory management system utilizing spreadsheets at PT X, a start-up contractor located in Karanganyar, Central Java. The research employs a qualitative case study approach, with data collected through direct observation, semi-structured interviews with finance staff, logistics administration staff, and the project manager, as well as documentation of material inflows and outflows. The findings reveal that the use of cloud-based spreadsheets enhances data transparency, facilitates real-time monitoring between field and office, and accelerates stock opname validation. The system also supports more responsive decision-making regarding material reordering and request postponements. Nevertheless, several obstacles remain, including limited digital literacy among staff, potential input errors, and reliance on internet connectivity. Theoretically, this research contributes to the literature on accounting information systems and inventory management in small-scale construction sectors. Practically, it demonstrates that low-cost cloud solutions can improve operational efficiency and serve as a foundation for developing more integrated systems in the future.

This quantitative study analyzes the influence of Ship Docking Schedule (X1), Port Availability (X2), and Loading and Unloading Productivity (X3) on Vessel Waiting Time (Y) at Tanjung Intan Cilacap Port. Data were collected through questionnaires administered to 86 vessel crew respondents and analyzed using Multiple Linear Regression (SPSS v.26). The t-test results indicate that X1, X2, and X3 individually exert a positive and significant influence on Y.1 The regression model demonstrates robust predictive power, explaining 55.2% of the variance in vessel waiting time (R^2{adj}=0.552). Based on the standardized beta coefficients, the Ship Docking Schedule (X1, \beta=0,385) is identified as the most dominant factor, followed by Loading and Unloading Productivity (X3, \beta=0,302) and Port Availability (X2, \beta=0,307).1 This finding confirms that optimizing maritime logistics performance, particularly in bulk terminals facing physical constraints, requires prioritizing procedural efficiency and scheduling accuracy.

This study analyzes the influence of internal operational variables—Process, Service Quality, and Facilities—on the Export Performance of PT. Panah Perdana Logisindo, a freight forwarding company in Semarang. Maritime logistics plays a crucial role in national competitiveness, but company performance often faces challenges amidst the complexity of global supply chains . Employing a quantitative approach with a sample of 100 export service users, multiple linear regression analysis indicates that all three independent variables positively and significantly affect Export Performance (Y). The results reveal that Process has the most dominant influence (\beta=0.309), followed closely by Facilities (\beta=0.302) and Service Quality (\beta=0.255). The model explains 53.0% of the variance in the company's Export Performance (Raja Ferry, 2025 2). These findings confirm the necessity of strengthening micro-operational aspects (efficient procedures, robust networks, and staff professionalism) as a core strategy for enhancing profitability and customer loyalty amidst macro-logistical challenges in Indonesia.