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Punctuality is a crucial factor in ship repair projects because it directly affects operational efficiency, project costs, and the utilization rate of shipyard facilities. Delays in work completion can lead to increased costs, disruption of ship operational schedules, and decreased shipyard productivity. Therefore, this study aims to analyze and optimize the repair scheduling of Ship X at PT XYZ using the Critical Path Method (CPM). The research data were obtained from the actual project schedule compiled using Microsoft Project software, including the duration of each activity and the dependency relationships between tasks. The analysis results show that the project has one main critical path with a total duration of 74 hours. Most activities are on the critical path with a float value of 0 hours, while the Non-Destructive Test Penetrant Testing activity has a time slack of 1 hour. The application of the CPM method has proven effective in identifying critical activities, improving schedule control, and supporting managerial decision-making in optimizing ship repair projects.  

This study evaluates the legal perspective concerning business competition in Indonesia regarding alleged abuse of dominant power in the competition between digital platforms TikTok Shop (including the acquisition of Tokopedia) and Shopee. The method applied is normative juridical with a case study approach, referring to Law Number 5 of 1999, particularly Articles 19–21 related to market control and Article 20 concerning below-cost selling practices. The analysis focuses on inter-platform integration, aggressive discount strategies, use of cross-platform data, as well as post-acquisition behavior that may hinder healthy competition. The assessment is conducted by considering market structure, business actors' behavior, and law enforcement efforts by the Business Competition Supervisory Commission (KPPU). Research findings indicate that although TikTok Shop has strong competitiveness following the acquisition, proving the existence of abuse of a dominant position requires meeting legal and economic provisions rigorously. Therefore, the implementation of conditional approval and remedial measures by the KPPU is considered a reasonable step to maintain a healthy business competition environment in the digital era.

The economic valuation of natural resources (NR) is an important instrument in supporting evidence-based decision-making, particularly in sustainable environmental management. Cost–Benefit Analysis (CBA) serves as a primary approach to assess the economic feasibility of programs or policies by integrating all benefits and costs, including non-market values. This article presents a systematic literature review of studies employing CBA for NR valuation during the period 2010–2024, based on searches in Scopus, Web of Science, ScienceDirect, SpringerLink, Taylor & Francis, and Google Scholar, using stringent selection criteria. The review findings indicate that CBA has been widely applied in forest management, biodiversity conservation, land rehabilitation, water and air pollution control, and ecotourism development, providing a quantitative depiction of economic feasibility through indicators such as Net Present Value (NPV), Benefit–Cost Ratio (BCR), and Internal Rate of Return (IRR). Key challenges were identified in non-market valuation, long-term uncertainty, data limitations, and sensitivity to discount rate assumptions. These findings underscore the importance of integrating environmental valuation methods, conducting comprehensive sensitivity analyses, and adopting multidisciplinary approaches to strengthen the application of CBA in sustainable NR management, while also offering strategic recommendations and directions for future research for policymakers and environmental economics scholars.

API abuse on lightweight edge gateways has intensified as microservice-based services expose many REST endpoints to heterogeneous clients. Conventional per-identity rate limiting, such as static token buckets, is frequently bypassed through distributed bots and identity rotation, while legitimate burst traffic may be rejected and degrade user experience. This study proposes Adaptive Rate Limiting with Verifiable Delay Functions (ARL-VDF), which couples a lightweight risk score with selective VDF challenges to impose a tunable sequential-computation cost on suspicious clients without forcing aggressive dropping for low-risk users. The gateway continuously derives a per-identity risk score from short-window request rate, error tendency, and identity freshness, then maps the score to a target delay bounded by  and . Evaluation uses a 600-second discrete-event simulation on a mixed workload consisting of normal clients, legitimate bursts, and distributed attackers. Compared with a static token bucket baseline, ARL-VDF maintains full success for legitimate traffic, reduces attacker throughput that passes the gateway, and keeps verification overhead within a fixed budget on the edge device. The results indicate that combining adaptive control with verifiable sequential cost can improve availability and fairness on resource-constrained edge gateways without resorting to aggressive dropping.

UMKM BPK Legend Batam is a Batak culinary business that serves Karo Roast Pork (BPK) as its main dish along with side dishes such as soup, saksang, and fried Indomie B2. In its operational activities, food product inventory management is still done manually and based on estimates, which can potentially lead to excess or shortages of ready-to-sell products. This situation can result in a decline in product quality, wasteful spending, and lost sales opportunities when demand increases. The objective of this community service activity is to design a more effective and efficient food product inventory control system through the application of the EOQ and ROP methods. The methods used include observation, interviews, and analysis of sales data and product availability per period. The results of the activity show that the application of EOQ is able to determine the optimal product inventory quantity, while ROP provides guidelines for the right time to replenish products. The product inventory control system that was designed helps BPK Legend MSMEs in reducing inventory costs, maintaining product availability, and supporting smooth service to customers.

This study aims to design, implement, and test a prototype that automates three functions, namely watering, fertilizing, and pest control based on Arduino Uno with the ability to directly monitor soil moisture and pH. This system is equipped with four main types of sensors. Soil condition monitoring involves an FC-28 soil moisture sensor and a soil pH sensor, water level measurement involves an HC-SR04 ultrasonic sensor, and pest detection in the plant area involves a RIP sensor. All data obtained from these sensors is then processed by the Arduino Uno microcontroller to automatically activate actuators such as water pumps, liquid fertilizer pumps, buzzers, and DC motors according to soil conditions and plant needs. Prototype testing was conducted on simulated land with various scenarios of moisture, soil pH, and pest activity. The test results revealed that the system was proven to be able to significantly optimize water and fertilizer utilization, as well as reduce pest disturbances that could potentially damage plants.  In addition, this system also displays the operational status directly through an LCD screen, making it easy for users to monitor. The advantage of this system is its multi-function integration in a single device that is cost-effective and easy to operate. In the future, the functionality of this system can be improved through integration with Internet of Things (IoT) technology, enabling remote monitoring and control with greater efficiency. More broadly, this study is expected to support increased production and sustainable agricultural practices in Indonesia.

The rapid development of digital technology requires Micro, Small, and Medium Enterprises (MSMEs) to adapt by utilizing digital marketing and improving financial management practices. However, many service-based MSMEs have not yet optimized digital promotion and integrated bookkeeping in their business operations. This community service activity aims to enhance the promotion of service MSMEs through the implementation of digital marketing and to strengthen cost control through simple bookkeeping at AND CUSTOM LED. The methods used include an initial survey, practical mentoring, and evaluation of the activities. The mentoring process involved training in promotional content creation, the use of social media as a business communication tool, and the application of daily transaction recording. The results indicate an improvement in the business owner’s understanding and behavior regarding promotional management and financial recording. The MSME owner became more active and consistent in implementing digital promotion strategies and more disciplined in recording income and expenses. In addition, the mentoring encouraged a more independent and well-planned work attitude. Overall, this activity demonstrates that integrating digital marketing with simple bookkeeping can improve the quality of service MSME management and support business sustainability in the digital era.

Production planning and inventory control are critical aspects of operations management, as they directly influence cost efficiency, resource utilization, and the continuity of the production process. Ineffective planning and inventory decisions may lead to excessive costs, production delays, or imbalances between supply and demand. The complexity of these problems, which often involve multi-period horizons and multi-stage decision-making processes, has encouraged the application of quantitative optimization methods, one of which is dynamic programming. This study aims to analyze and synthesize the application of dynamic programming in production planning and inventory control through a Systematic Literature Review (SLR) approach. The SLR process was conducted by systematically identifying, selecting, and analyzing 15 relevant national journal articles published between 2015 and 2024 and obtained from various recognized scientific databases. The reviewed literature indicates that dynamic programming is effective in supporting optimal decision-making by determining appropriate production quantities and inventory levels, minimizing total production and holding costs, and managing fluctuating demand conditions. In addition, this method helps reduce the risks associated with overstock and stockouts by considering sequential decision structures. However, the findings also reveal several limitations of dynamic programming, including high computational complexity, strong dependence on deterministic data assumptions, and limited flexibility in handling high levels of uncertainty. These constraints suggest the need for further methodological development or integration with other approaches to enhance practical applicability.

Postoperative pain is a common physiological response following surgical procedures, and its suboptimal management can have physiological and psychological effects, including sleep disturbances, decreased functional capacity, increased anxiety, and deterioration in quality of life. This scoping review aims to describe the empirical evidence regarding the effectiveness of music therapy in reducing the intensity of postoperative pain in surgical patients. A systematic search was conducted through four major databases (ScienceDirect, PubMed, Neliti, and Google Scholar) using Boolean operators and keywords such as ‘postoperative pain,’ ‘music therapy,’ and ‘pain scale.’ Inclusion criteria included articles published in the last decade, in English or Indonesian, and available in full text format. In accordance with PRISMA-ScR guidelines, this review analysed 10 articles. The synthesis of results showed that music therapy consistently reduced pain intensity, anxiety, and analgesic requirements through mechanisms such as increased endorphin secretion, decreased stress hormone levels, and activation of the gate control theory. Typically administered for 15–30 minutes, music therapy is a safe, cost-effective, and patient-acceptable non-pharmacological modality. This intervention is recommended as an adjunct component in perioperative pain management in nursing practice, although further standardised research is needed to improve consistency.

The management of material and labor costs at Gregors Barbershop is still manual and not formally structured, resulting in wastage of consumable materials, suboptimal labor utilization, and difficulties in determining service prices that align with the expected profit margins. Material costs, such as hair gel, tissues, disposable razors, and alcohol/disinfectants, are not recorded systematically, leading to frequent mismatches between stock and actual needs, while labor costs are calculated improvisationally without considering productivity and service targets. This activity aims to improve the ability of owners and employees to plan, control, and evaluate operational costs systematically, ensuring efficiency, resource optimization, and business profitability. The method uses an applied, hands-on approach, including the identification of partner needs, preparation of relevant training modules, direct operational mentoring, and evaluation with follow-up. The object of the activity is Gregors Barbershop in Batu Aji District, Batam City, which offers services such as modern men’s haircuts, classic shaves, shaving, hair treatments, and the sale of grooming products like pomade and hair oil. The results show increased efficiency in the use of consumable materials, more productive labor management, more systematic cost planning, and the ability to set service prices in line with costs and profit margins. It is recommended to implement a digital recording system and productivity-based incentives to ensure more accurate cost control, more efficient operations, and sustainable business profitability.

This study aims to analyze the implementation of business networks in improving operational efficiency in small and medium-sized enterprises (SMEs) operating in the outdoor equipment sector. Increasing public interest in outdoor activities has intensified competition among SMEs, requiring them to develop effective collaboration strategies to maintain operational sustainability. This research employs a qualitative descriptive approach with a single case study design conducted at Misala Gear Outdoor, an SME engaged in outdoor equipment rental and sales in Ciwidey, Bandung Regency. Data were collected through in-depth interviews, direct observation, and documentation, and analyzed using descriptive qualitative techniques. The results indicate that the implementation of business networks involving supplier partnerships, outdoor communities, tourism agents, and digital platforms contributes significantly to improving operational efficiency, particularly in inventory management, service delivery, and market reach. Moreover, business networks enable cost control, resource optimization, and service differentiation, which strengthen the enterprise’s competitive position. This study highlights the strategic role of business networks as an operational efficiency driver for SMEs in the outdoor industry and provides practical implications for SME managers in developing collaborative business strategies.

The development and revitalization of the Sungai Asam drainage system in Jambi City face serious problems in the form of river sedimentation and limited channel capacity, which trigger flooding. These conditions necessitated a design change for bank protection from revetment to a retaining wall (Dinding Penahan Tanah/DPT) in the SA223 to SA228 segment. This study aims to analyze the construction cost and implementation duration of the DPT resulting from the design change. The theoretical framework covers retaining wall concepts, cost estimation (Bill of Quantities), and construction project scheduling. A descriptive-analytical method was applied using secondary data, including design drawings, work volumes, the 2025 Water Resources and Human Settlements Unit Price Analysis (AHSP), the 2025 Jambi Provincial Standard Unit Prices, and time analysis using the S-Curve and Critical Path Method (CPM). The results indicate that the total construction cost of the DPT in the SA223–SA228 segment is IDR 9.524.259.092,02, while the project duration is determined based on the critical path identified through CPM analysis. The discussion confirms that the design change significantly affects work complexity, construction costs, and schedule adjustments. The study concludes that systematic and measurable cost and time analyses are essential as a technical basis for decision-making in river revitalization projects to ensure effectiveness, efficiency, and the sustainability of flood control infrastructure.

Traditional snack micro, small, and medium enterprises (MSMEs) in Indonesia face increasing market competition and rapidly changing consumer preferences, particularly among younger consumers seeking innovative and symbolic food experiences. This community engagement study aims to strengthen the profitability and sustainability of traditional snack MSMEs by integrating local flavor innovation with simple business governance practices. Using a participatory action research approach under the Merdeka Belajar Kampus Merdeka (MBKM) program in Palangka Raya, this study involved co-creation between students and local entrepreneurs in product development, production standardization, and basic financial management. Qualitative data were collected through participatory observation and stakeholder discussions, while quantitative data were obtained from sales records and simple financial reports. The results demonstrate that local flavor-based innovation, combined with standardized operating procedures and cost control mechanisms, improved product differentiation, operational efficiency, and financial performance. The intervention generated a positive net profit and strengthened the partner’s capacity for independent business management. This study contributes to the literature by positioning traditional food MSMEs as sites of cultural innovation and micro-governance, while supporting Sustainable Development Goals related to inclusive economic growth, cultural preservation, and responsible production.

Since 2022, the application of the Internet of Things (IoT) in the healthcare sector has grown significantly, marked by the increasing adoption of wearable technology, artificial intelligence (AI), machine learning (ML), and blockchain integration. Research highlights India and China as leading contributors in this domain. IoT enables real-time monitoring of chronic diseases, tracking of patient vital signs, and detection of health protocol compliance. Integrated systems such as Monit4Healthy and RADAR-IoT support personalized medical recommendations and cross-platform interoperability. However, key challenges persist, including patient data privacy and security, system interoperability issues, data fragmentation, and barriers to user acceptance due to cost, digital literacy, and device comfort. Proposed solutions include blockchain for secure data sharing, adaptive congestion control for network performance, and user training to improve technology adoption. Therefore, successful IoT deployment in healthcare requires a comprehensive approach that addresses technological, social, ethical, and sustainability aspects to achieve an effective and inclusive transformation of health services.

Background: In the domain of corporate governance, the separation of ownership and control generates significant agency conflicts, primarily manifesting as Earnings Management (EM). Traditional reactive auditing methods fail to detect manipulation concealed within unstructured data, leading to high agency costs and diminished stakeholder trust. Objective: This study proposes an "AI Proactive Monitoring Model" utilizing Generative Artificial Intelligence to fundamentally enhance the monitoring mechanisms of Agency Theory. Methods: The research employs a qualitative conceptual framework analysis. It synthesizes Agency Theory with the Technology Acceptance Model (TAM) and Systemic Risk Theory to construct a novel strategic governance model. Results: The proposed model shifts governance from periodic sampling to real-time, continuous analysis of total data populations. By cross-referencing structured financial data with unstructured communications (e.g., emails, contracts), the system generates "Risk Narratives" that contextualize anomalies and flag opportunistic behavior immediately. Conclusion: The integration of AI significantly reduces information asymmetry and moral hazard by creating a "panopticon" effect. However, successful implementation requires distinct regulatory frameworks to manage the systemic risks associated with algorithmic reliance.

This study aims to analyze the implementation of financial reporting and evaluate the economic performance of Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) Nur Insani during the period from 2022 to 2023. A descriptive qualitative method was employed, utilizing secondary data from the Statement of Financial Position, Cash Flow Statement, and Operating Results Report published by the cooperative. The findings indicate that KSPPS Nur Insani has implemented a computerized financial recording system, which enhances accuracy, transparency, and operational efficiency. However, the cooperative experienced significant financial pressure in 2023, as indicated by decreases in cash and cash equivalents, total assets, and temporary syirkah funds, both short-term and long-term. These declines reflect weakened liquidity and reduced fundraising capacity from members. Despite these challenges, the cooperative succeeded in increasing its Net Operating Results (SHU), demonstrating effective revenue management and operational cost control. Overall, the profitability of KSPPS Nur Insani remains positive, yet strategic improvements are necessary, particularly in strengthening liquidity management, increasing funding sources, optimizing asset utilization, and enhancing digital system implementation to support better financial governance. These strategic efforts are expected to improve business sustainability and maintain member trust in the future.

Sweet corn is a horticultural commodity that is widely consumed in Indonesia. This study evaluated the effectiveness of NPK 18-18-18 fertilizer on the vegetative growth, yield components, and relative agronomic effectiveness (RAE) of sweet corn (Zea mays saccharata). Field experiments were conducted using fertilizer dosages of 0,50, 0,75, 1,00, and 1,50 NPK, with a control treatment for comparison. The application of NPK 18-18-18 significantly increased plant height, stem diameter, leaf number, ear length, ear diameter, biomass weight, ear weight with husk, ear weight without husk, plot yield, and overall productivity compared with the control. Mean values across treatments ranged from 68,94–205,72 cm for plant height, 7,41–20,47 mm for stem diameter, 6,01–13,00 leaves per plant, 15,41–20,89 cm for ear length, and 36,05–49,65 mm for ear diameter. Biomass weight ranged from 0,12–0,34 kg, ear weight with husk from 0,13–0,34 kg, and ear weight without husk from 0,12–0,28 kg. Plot yield varied between 7,91–25,46 kg, corresponding to productivity levels of 5,02–16,16 t/ha. RAE analysis indicated that fertilizer application was effective at dosages of 0,75, 1,00, and 1,50 NPK, with the highest effectiveness observed at 1,50 NPK (118%). Notably, the 0,75 NPK dosage achieved an RAE value of 101%, demonstrating that lower fertilizer input can enhance yield while reducing production costs and mitigating fertilizer scarcity. These findings suggest that NPK 18-18-18 fertilizer, when applied at an optimal dosage, can be effectively utilized in sweet corn cultivation to improve growth and productivity while ensuring efficient nutrient management.

This Community Service Program (PkM) was carried out at PT Golden Visalux with the aim of enhancing the effectiveness of the company’s operational cost budget control. Findings from field observations and interviews revealed that the company did not yet have formal written guidelines such as a Standard Operating Procedure (SOP) and lacked a well-structured evaluation system for its budgeting process. As a result, discrepancies occurred between planned and actual expenditures, along with delays in monitoring operational costs. Through this internship project, an SOP and budget measurement standards were created and applied as reference tools for all relevant divisions involved in the budgeting cycle. The SOP implementation led to several improvements, including more accurate cost recording, better monitoring of budget variances, and increased efficiency in operational spending. In addition, the company now possesses an official document that can be utilized continuously for evaluating and refining its cost control practices. Overall, this PkM initiative offers meaningful contributions to strengthening budget management effectiveness and supporting improved financial performance at PT Golden Visalux.

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.

The integration of cloud computing and data security systems is vital for the operational success and competitiveness of fintech startups. Cloud computing enables these startups to scale quickly, manage resources efficiently, and reduce infrastructure costs, making it an indispensable tool for businesses in the rapidly evolving fintech sector. However, with the benefits come significant challenges, particularly in data protection and cybersecurity. As fintech services handle sensitive financial data, ensuring robust security measures such as encryption, access controls, and continuous monitoring is crucial to maintaining user trust. Furthermore, regulatory compliance, both local and global, adds complexity to the data protection strategies of fintech companies. This research explores the key factors that drive cloud adoption in fintech, the security challenges associated with cloud environments, and the strategies implemented by startups to address these challenges. Interviews with IT managers from Indonesian fintech startups reveal that while cloud computing offers scalability and cost-effectiveness, issues like compliance with local regulations and the protection of sensitive data remain major concerns. The research suggests that fintech startups should invest in both cloud infrastructure and advanced cybersecurity measures to protect their operations and customer data. Additionally, creating a comprehensive roadmap for regulatory compliance and fostering partnerships with cybersecurity firms will help mitigate risks and ensure long-term success. The findings highlight the importance of integrating cloud computing with effective security strategies to navigate the complex regulatory and security landscape of the fintech industry.