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The role of ports as crucial nodes in the global supply chain positions the maritime sector as one of the most dynamic industries worldwide. This research analyzes the strengthening of business law support maritime sector integration to enhance port operational efficiency and the role of business law instruments in realizing the principle of fair competition within ports. This research employs a normative legal approach focusing on the study of existing legal norms and regulations governing port management and maritime integration. The strengthening of business law in the maritime sector plays a crucial role in improving port operational efficiency. A strong and well coordinated business law framework will create ports that are more efficient, competitive, and adaptive to the changing demands of the global market. Several key principles must be developed. First, rules on information disclosure and accountability to ensure transparency in port governance. Second, prohibitions against abuse of dominant positions and oversight of vertical integration to prevent anti-competitive practices. Third, clear contractual norms and governance structures for public private partnerships (PPP), including proportional risk-sharing mechanisms to ensure fairness and efficiency in infrastructure development. Fourth, multi-level governance alignment across national and regional authorities to prevent incentive distortions.

This study aims to analyze the fluctuations in chili production in Kabanjahe District, Karo Regency, which affect market price instability and uncertain supply. One approach applied in this study is the Single Exponential Smoothing (SES) method to forecast chili production. SES was chosen for its simplicity, ease of implementation, and its ability to generate accurate predictions even when the data lacks significant seasonal patterns. The data used is secondary data on chili production obtained from official publications by the Karo Regency BPS for the period of 2020–2024. The analysis results show that a smoothing parameter (α) of 0.8 produced the lowest Mean Absolute Percentage Error (MAPE) of 3.08%. These findings indicate that applying a higher α makes the model more responsive to recent data changes, thus yielding more accurate forecasts. This study demonstrates the effectiveness of the SES method in forecasting chili production in areas with significant seasonal fluctuations.

Rice plants (Oryza Sativa L.) are the main staple food commodity in Indonesia, as most of the Indonesian population relies on rice as their primary food. One of the causes of low rice production in Indonesia is that farmers generally cultivate rice improperly, such as in land preparation or land selection. Land suitability in rice cultivation greatly affects crop productivity. A process that can support decisions regarding rice land suitability is the development of a Decision Support System (DSS) website using a combination of the Simple Additive Weighting (SAW) method and the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS). This combination is performed by taking the average (µ) of the final results from the SAW and TOPSIS methods. The final scores of each method are calculated separately, and then the average (µ) of these two results is taken to obtain the final ranking of the alternatives. The data used to determine the suitability of rice land is based on five criteria: soil type, soil pH, rainfall, temperature, irrigation and water supply. The alternative data used in the study includes six alternatives: Sungai Kunjang, Sambutan, Samarinda Utara, Palaran, Loa Janan Ilir, and Samarinda Seberang. The aim of this research is to provide information on alternative solutions to farmers or farmer groups in determining rice land suitability. The results of the combination of the SAW and TOPSIS methods show that the alternative with the highest final score is Samarinda Utara (A3), with a final score of 0.7337. Meanwhile, the alternative with the lowest final score is Sambutan (A2), with a final score of 0.4402.

The money market plays a vital role in the global financial architecture as a provider of short-term liquidity and a primary channel for monetary policy transmission. This research is motivated by the rapid transformation of financial instruments, which now encompass conventional and Sharia-compliant sectors, as well as digital innovations such as e-money and stablecoins. The purpose of this study is to examine the concept of the money market, identify the diversity of modern instruments, and analyze their strategic role in economic stability through a qualitative literature review approach. The analysis shows that the money market is highly effective in managing bank cash reserves and controlling inflation by regulating the money supply. The presence of digital instruments has been proven to accelerate liquidity flows, while Sharia schemes provide transparent and equitable investment alternatives. However, the emergence of digital assets also brings challenges of volatility that require adaptive regulation and professional skepticism from market participants. The implications of this research emphasize the importance of synergy between monetary authorities and financial technology to address global disruption. Strengthening regulations on future instruments is expected to create a more inclusive and stable financial system that can respond precisely to economic shocks.

Indonesia’s mineral downstreaming policy has become a strategic instrument to increase the added value of natural resources and strengthen the country’s position in the global mineral value chain. This study aims to analyze the effectiveness of the mineral downstreaming policy in encouraging regional economic transformation through the development of an integrated nickel processing industry in Obi Island, South Halmahera. The research employs a descriptive qualitative approach using secondary data obtained from government publications, corporate reports, policy documents, and environmental reports. Key data sources include regional economic statistics from the Central Bureau of Statistics, corporate publications from Harita Nickel, and regulatory frameworks such as Law No. 3 of 2020 concerning Mineral and Coal Mining. The findings show that the downstreaming policy has transformed Indonesia’s nickel industry by shifting export patterns from raw ore toward higher value-added products such as ferronickel and Mixed Hydroxide Precipitate (MHP), which are essential materials for electric vehicle battery production. The integration of Rotary Kiln Electric Furnace (RKEF) and High Pressure Acid Leach (HPAL) technologies in Obi Island has strengthened Indonesia’s role in the global battery supply chain while also stimulating regional economic growth in South Halmahera. However, the rapid expansion of the nickel industry also raises environmental governance challenges that require stronger regulatory oversight and sustainable mining practices. Therefore, future policy implementation should emphasize balanced economic development, environmental sustainability, and effective governance in mineral resource management.

This community service activity aims to improve the effectiveness of clean water distribution management through the implementation of a Water Level Control (WLC) system as an automatic control for water pumps and three-phase motors at a regional drinking water supply company in Lamongan. The methods employed include field observation, problem identification, system design and implementation, as well as periodic evaluation of system performance. The activity focuses on the water treatment unit by conducting control and monitoring of operational parameters such as frequency (Hz), pump pressure, and flow stability to ensure optimal water distribution according to consumer needs. The results indicate that the implementation of the WLC system enhances operational efficiency, minimizes human error, and supports more structured and sustainable equipment maintenance. In addition, this activity contributes to improving the knowledge and technical skills of personnel in operating, monitoring, and maintaining automated control systems. In managing automation-based technology in a professional and independent manner, human resource capacity is strengthened, while the quality of clean water services is also improved through this community service program.

Edamame soybean plants are classified as a type of legume, growing upright and with dense leaves. Edamame soybeans can be consumed fresh or processed. One of the soils that can be planted with edamame is peat soil. However, peat soil still has obstacles such as acidic soil conditions and poor nitrogen (N) nutrients in the soil. Low nitrogen content in peat soil can be overcome by adding N fertilizer and photosynthetic bacteria. The use of photosynthetic bacteria in cultivating edamame soybeans can help increase nitrogen supply by fixing nitrogen (N) in the air. This research aims to determine the efficiency of applying a combination of nitrogen fertilizer and photosynthetic bacteria on the growth and yield of edamame soybeans in peat soil. This research was carried out in Pontianak City, with a research duration of approximately 3 months starting from 17 June - 29 August 2023. This research used a Completely Randomized Design consisting of 4 treatment levels, namely; n1= 25 kg/ha N fertilizer + photosynthetic bacteria, n2= 50 kg/ha N fertilizer + photosynthetic bacteria, n3= 75 kg/ha N fertilizer + photosynthetic bacteria, n4= 100 kg/ha N fertilizer + photosynthetic bacteria. The variables observed in this study consisted of plant height, number of productive branches, root volume, plant dry weight, number of root nodules, flowering age, number of pods and pod weight. This research aims to determine the efficiency of applying a combination of nitrogen fertilizer and photosynthetic bacteria on the growth and yield of edamame soybeans in peat soil. The results showed that the combination of nitrogen fertilizer and photosynthetic

Ineffective spare part inventory planning may lead to supply delays and reduced compliance with lead time supply key performance indicators (KPIs). This study aims to implement the Collaborative Planning, Forecasting, and Replenishment (CPFR) method in spare part inventory planning at PT XYZ and to compare lead time supply performance before and after the implementation of the CPFR method. This research utilizes spare part usage data from January to June 2025, focusing on fast-moving spare parts. Demand forecasting is conducted using an error forecasting approach with the moving average method. Forecast accuracy is evaluated using the Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). Furthermore, inventory planning is carried out through the calculation of safety stock and reorder point (ROP) as the basis for determining replenishment decisions. The results indicate that the simulated implementation of the CPFR method provides a more structured and anticipative inventory planning process. The comparison of performance before and after the application of CPFR shows an improvement in lead time supply compliance with the established KPIs. Therefore, the CPFR method has the potential to support improved spare part inventory planning performance at PT XYZ.

Pulmonary Tuberculosis is a disease cause an infection by Mycobacterium tuberculosis which attacking the lungs. The problem that often appears is Respiratory system disorder that this symptomatically happens with shortness.  Shortness occurs due to an imbalance between oxygen demand and supply, thereby increasing respiratory effort and reducing patient comfort. A non-pharmacological measure to reduce shortness of breath is orthopnea positioning.This therapy aims to increase lung expansion, improve ventilation, and relax the respiratory muscles, thereby helping to reduce Asphyxiate in patients with pulmonary tuberculosis. To determine the effectiveness of orthopneic positioning in reducing dyspnea in patients with pulmonary tuberculosis. Case study design with 3 respondents who were placed in the orthopneic position for 5 minutes with a stopwatch used to measure respiratory rate The results of this study show that the orthopneic position is effective in reducing shortness of breath, as evidenced by Mr. R, who had a respiratory rate of 24 breaths per minute before being placed in the orthopnea position. After being placed in the orthopneic position, his respiratory rate decreased to19 breaths per minute. Mr. K's respiratory rate was 24 breaths per minute before being placed in the orthopneic position and decreased to 20 breaths per minute after being placed in the orthopneic position. Mr. M's respiratory rate was 24 breaths per minute before being placed in the orthopneic position and decreased to 19 breaths per minute after being placed in the orthopneic position

Drug stockouts in hospitals pose significant risks to service quality, patient safety, and operational efficiency. This study aimed to analyze how drug demand planning and procurement processes at Johar Baru Regional General Hospital contribute to stockout occurrences and to develop data-driven recommendations based on supply chain management principles. A qualitative descriptive design was employed using data triangulation. Data were collected through in-depth interviews with the Head of the Pharmacy Installation, procurement staff, and warehouse pharmacists, complemented by direct observation and analysis of 2024 planning and procurement documents. Thematic analysis was conducted with the support of NVivo software to identify patterns and relationships among key variables, including drug demand planning, procurement, and inventory management.Findings reveal that stockouts stem from interconnected weaknesses in planning accuracy, procurement coordination, and inventory control systems. Effective stock management depends not only on increasing supply but also on improving data quality, integrating inventory information systems with operational workflows, and enhancing cross-functional collaboration. Recommended strategies include implementing a minimum stock alert system integrated with the Hospital Management Information System (HMIS), strengthening standard operating procedures for stockout response and procurement confirmation, improving integration between HMIS, the National Formulary, and budgeting systems, and applying consumption based planning methods combined with ABC VEN analysis to optimize inventory control.

The Indonesian hospitality industry is currently facing a post-pandemic "profitability paradox," a phenomenon where increased occupancy rates do not guarantee a proportional increase in net profit margins due to persistent operational cost inflation. This study aims to evaluate operational cost efficiency strategies and their impact on profitability across three star-rated hotels with contrasting locational and market characteristics: @Hom Hotel Kudus (Central Java), Grand Verona Samarinda (East Kalimantan), and FUGO Hotel Banjarmasin (South Kalimantan). This research adopts a descriptive qualitative approach with a comparative multiple-case study design. Data were collected through in-depth interviews with top management, participant observation, and financial document analysis. The results reveal that geographical characteristics and market segments are the primary determinants in selecting efficiency strategies. (1) Hom Hotel Kudus, located in a secondary industrial area, implements Lean Operations strategies through workforce multi-skilling to address market price sensitivity. (2) Grand Verona Samarinda, in the East Kalimantan business hub, focuses on Supply Chain Engineering by localizing raw materials to mitigate high logistical costs. (3) FUGO Hotel Banjarmasin, in the lifestyle segment, adopts Technology-Driven Efficiency to suppress utility costs without degrading the guest experience. The study concludes that sustainable profitability is achieved not through aggressive cost-cutting, but through strategic cost management adaptive to local contexts. These findings provide a new managerial framework for the hospitality industry to shift from a revenue-centric orientation to value optimization.

The problem addressed in this research is the suboptimal implementation of the Community-Based Drinking Water Supply and Sanitation Program (PAMSIMAS) in Koili Village. The objective of this research is to analyze the implementation of the PAMSIMAS Program based on Donald P. Warwick’s policy implementation theory, which includes organizational capacity, information, support, and the distribution of potential resources. This research employs a descriptive qualitative method. Data were collected through interviews, observations, and documentation involving informants from the local government, village officials, PAMSIMAS management, and community members, both beneficiaries and non-beneficiaries. The findings indicate that the PAMSIMAS Program has been implemented; however, it has not yet been fully optimized. Organizational capacity and information dissemination have been implemented, but limitations remain in implementers’ capacity and in the equitable distribution of information. Support from the village government and the community is relatively good; nevertheless, coordination and the distribution of potential resources still need improvement. This research recommends that future researchers examine the implementation of PAMSIMAS on a broader regional scale and incorporate a more in-depth analysis of sustainability and community participation.

The retail industry is currently facing increasingly intense competition, requiring optimal supply chain efficiency. Warehouses play a strategic role in controlling inventory flows and supporting a company’s operational performance. At K3Mart, stock shortages are still frequently found, caused by low supplier compliance with Service Level Agreements (SLA) and delays in delivery schedules, which negatively affect distribution processes and store service quality. This study aims to analyze the effect of supplier compliance with SLA and delivery timeliness on warehouse operational performance at K3Mart. This research employs a quantitative method by distributing questionnaires to 40 respondents from the warehouse, purchasing, and procurement divisions using a saturated sampling technique. The research instrument uses a Likert scale. Data analysis was conducted using validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-test, F-test, and coefficient of determination with the assistance of SPSS software. The results show that supplier compliance with SLA and delivery timeliness have a positive and significant effect, both partially and simultaneously, on warehouse operational performance. Therefore, improving supplier compliance with SLA and delivery timeliness can enhance optimal warehouse operational performance.

The development of the palm oil industry in Indonesia typically relies on collaboration with smallholder farmers, but this collaboration often faces various problems such as poor cultivation techniques, lack of technical guidance, unclear administrative matters, and limited access to certification and markets. This study aims to develop a specific human resource management model to support collaboration with smallholder farmers, thereby improving production yields, sustainability, and engagement in the palm oil supply chain. The method used is a desk study, namely by analyzing and reconstructing information from research results, industry reports, and palm oil certification and sustainability policies. Based on the analysis, a career structure and Human Resource Management functions are proposed, consisting of collaboration supervisors, field officers, capacity training officers, collaboration administration staff, and collaboration/certification managers. This model allows for technical and administrative assistance, training for farmers, collaboration coordination, and certification and compliance management. The implementation of this model is predicted to improve cultivation quality, improve smallholder access to certification and markets, and strengthen the stability and sustainability of the supply chain. Thus, the HR model for smallholders offers a strategic solution to the various challenges of working with smallholders and supports the development of a socially, economically, and environmentally sustainable palm oil agribusiness sector.

The development of the palm oil industry in Indonesia typically relies on collaboration with smallholder farmers, but this collaboration often faces various problems such as poor cultivation techniques, lack of technical guidance, unclear administrative matters, and limited access to certification and markets. This study aims to develop a specific human resource management model to support collaboration with smallholder farmers, thereby improving production yields, sustainability, and engagement in the palm oil supply chain. The method used is a desk study, namely by analyzing and reconstructing information from research results, industry reports, and palm oil certification and sustainability policies. Based on the analysis, a career structure and Human Resource Management functions are proposed, consisting of collaboration supervisors, field officers, capacity training officers, collaboration administration staff, and collaboration/certification managers. This model allows for technical and administrative assistance, training for farmers, collaboration coordination, and certification and compliance management. The implementation of this model is predicted to improve cultivation quality, improve smallholder access to certification and markets, and strengthen the stability and sustainability of the supply chain. Thus, the HR model for smallholders offers a strategic solution to the various challenges of working with smallholders and supports the development of a socially, economically, and environmentally sustainable palm oil agribusiness sector.

This research investigates thermal material properties and performance characteristics for high-speed vessel components subjected to extreme thermal stress during sustained high-speed operations. High-speed vessels including patrol boats, fast ferries, and naval craft experience elevated thermal loads from high-power density propulsion systems, aerodynamic heating, and sustained operational intensities creating demanding conditions for structural and mechanical components. Through qualitative analysis involving naval architects, materials engineers, high-speed vessel operators, and component manufacturers, this study examines how material thermal properties affect component durability, performance, and safety while identifying optimal material selections for critical applications. Results demonstrate that advanced thermal materials including high-temperature aluminum alloys, titanium alloys, ceramic composites, and thermal barrier coatings can extend component service life by 40-70%, improve thermal management effectiveness by 25-45%, and enhance operational reliability compared to conventional materials. Key implementation challenges include material cost premiums of 150-300%, manufacturing complexity, limited operating experience, qualification testing requirements, and supply chain constraints. Findings reveal that strategic thermal material selection for critical components represents essential enabling technology for high-speed vessel performance, reliability, and operational availability supporting defense, commercial, and emergency response applications requiring sustained high-speed capabilities. This research contributes to marine materials engineering literature by providing evidence-based frameworks for thermal material selection applicable to diverse high-speed vessel applications.

The digital transformation of public service delivery has become a central agenda in contemporary public administration, positioning local governments as critical actors in translating national digital strategies into tangible, citizen-facing outcomes. Despite rapid diffusion of digital platforms and e-government initiatives, substantial variation persists in the performance, inclusiveness, and sustainability of digital public services across local contexts. This variation points to persistent challenges related to administrative capacity constraints within local governments and uneven levels of citizen readiness to access and use digital services. Addressing these challenges, this article presents a comprehensive literature review that aims to (1) map the conceptual evolution of digital public service delivery in local governments, (2) synthesize empirical findings on the roles of administrative capacity and citizen readiness, and (3) identify key theoretical and empirical gaps in the existing scholarship. Methodologically, the study adopts a systematic literature review approach, drawing on peer-reviewed journal articles published in the last five years and indexed in major academic databases, including Scopus, Web of Science, DOAJ, and Google Scholar. The selected literature is analyzed using thematic synthesis, guided by an integrated theoretical framework combining Digital Government Theory and Digital Era Governance as overarching transformation lenses, Administrative Capacity and Capacity Building Theory and Competency-Based Human Resource Management to explain organizational and human resource determinants, Digital Divide Theory and the Technology Acceptance Model to capture citizen-side readiness and adoption dynamics, and Policy Implementation Theory to account for institutional and regulatory mediation. The synthesis reveals several dominant patterns: digital service performance is strongly conditioned by leadership, coordination, information capacity, and workforce competencies; citizen uptake is shaped not only by access and skills but also by perceived usefulness, ease of use, and trust; and policy design and implementation processes mediate the interaction between supply-side capacity and demand-side readiness. Importantly, the review shows that these factors are mutually constitutive rather than independent, challenging linear and technology-centric models of digital transformation. The article concludes by advancing an integrative conceptual understanding of local digital public service delivery and by outlining theoretical implications for digital public administration research as well as practical policy recommendations for designing inclusive, capacity-sensitive, and sustainable digital public services at the local level.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving economic growth; however, their production activities frequently face uncertainty in achieving predetermined targets. Such uncertainty arises from fluctuating market demand, delays in raw material supply, labor limitations, variations in processing time, and other technical constraints. Conventional deterministic production planning methods often fail to capture these real-world risks and variations, leading to less accurate and suboptimal decisions. Therefore, a more adaptive analytical approach that incorporates probability and uncertainty is required. This study aims to analyze the probability of achieving MSME production targets using the Monte Carlo Simulation method. This method models random production conditions by generating data based on probability distributions derived from historical records. Simulations are repeated through numerous iterations to estimate possible variations in production output and measure the likelihood of meeting targets. The results indicate that Monte Carlo simulation provides more realistic and comprehensive production forecasts compared to traditional planning approaches. By understanding both the probability of success and potential risks, MSMEs can design adaptive strategies, optimize resource allocation, manage inventory more effectively, and improve overall production planning accuracy to ensure long-term business sustainability in a dynamic environment.

Stock monitoring is a critical phase that must be performed regularly to maintain the accuracy and efficiency of inventory management. Continuous monitoring ensures that all items remain under proper oversight, thereby making stock management processes simpler, more controlled, and highly accurate. PT XYZ operates in the general contracting sector and provides a range of services, including land transportation, crude oil rental, heavy equipment and light vehicle rental, material supply, and well maintenance services. At present, stock monitoring at PT XYZ still relies on a general-purpose application designed solely for numerical calculations. This approach leads to several limitations in the current system, most notably the lack of a login feature and the requirement to recreate reports using a separate application. Based on these problems, this research aims to design a prototype of a stock monitoring information system at PT XYZ. The system is developed using the waterfall development model and documented using use case diagrams. The main output of this study is a prototype information system that allows users to change their own password, perform CRUD operations on data entities including users, items, categories, brands, units, vehicles, suppliers, incoming goods, and outgoing goods, generate various reports related to inventory/stock at PT XYZ.

PLN (Persero) is the state-owned company responsible for supplying electrical energy in Indonesia and plays a crucial role in ensuring the reliability and continuity of power distribution. Therefore, all electrical equipment, particularly power transformers, must be maintained in safe and reliable operating conditions. Transformers function to change voltage levels from high to low or vice versa and are essential components in the electric power distribution system. One important transformer component that requires periodic maintenance is the On Load Tap Changer (OLTC). To maintain transformer performance and extend its service life, routine maintenance activities such as OLTC oil replacement are necessary. PT. PLN (Persero) ULTG Rangkasbitung conducts regular OLTC oil replacement twice a year as part of its preventive maintenance program. Transformer oil serves as both an insulating medium and a cooling agent; therefore, its condition greatly affects transformer reliability and operational safety. Degraded oil quality can cause insulation failure and reduce transformer efficiency. This study aims to describe the procedure and implementation of On Load Tap Changer oil replacement at the transformer substation of PT. PLN (Persero) ULTG Rangkasbitung. The research method used is field research, carried out through direct observation and interviews with maintenance personnel. The results of this study are expected to provide a clear understanding of the OLTC oil replacement process, support proper maintenance practices, and emphasize the importance of transformer maintenance in ensuring the reliability and sustainability of the electric power system.