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Physical fitness is a fundamental requirement for Marine Corps Cadets, both during their education at the Naval Academy and in their future military service. The role of a Platoon Commander requires excellent physical condition, adequate muscular strength, high endurance, and strong mental readiness. This study aims to describe and analyze the optimization of weight training as a physical conditioning method to improve the physical capabilities of Marine Corps Cadets. The research employed a descriptive qualitative approach using questionnaires, interviews, and documentation as data collection techniques. The subjects consisted of Marine Corps Cadets who participated in weight training programs at the Naval Academy, involving 11 questionnaire respondents and key informants from the Physical Training Department. The results indicate that well-planned, structured, and supervised weight training programs significantly enhance muscular strength, physical endurance, agility, coordination, and self-confidence. Furthermore, weight training contributes to improved physical fitness test scores and the development of a more proportional body posture. Therefore, the optimization of weight training can be considered an essential component of physical training programs to prepare Marine Corps Cadets to become professional and mission-ready Platoon Commanders.

The development of science and technology has encouraged the utilization of graph theory in solving optimization problems, particularly in transportation systems and tourism route planning. Medan City, as a metropolitan area with dense road networks and widely dispersed tourist destinations, faces challenges in selecting efficient travel routes. This research aims to determine the optimal route between tourist destinations in Medan City using the Minimum Spanning Tree (MST) method with Prim’s Algorithm. The research was conducted using a weighted graph modeling approach, where each tourist destination is represented as a vertex and the distance between destinations is represented as an edge weight. Distance data and estimated travel time were obtained through digital mapping using Google Maps and then analyzed through iterations of Prim’s Algorithm to produce a minimum spanning tree without forming cycles. The results show that all 23 tourist destinations are successfully connected in a single MST structure with a minimum total distance of 68.97 km and a travel time of approximately 199 minutes or 3 hours and 19 minutes. This model is expected to serve as a reference for tourism planning and support urban transportation efficiency based on mathematical computation.

The concept of supremum is fundamental in real analysis and plays a crucial role in the optimization of single-variable real functions. In practice, not all functions attain their supremum explicitly, which necessitates numerical approaches to evaluate their behavior computationally. This study aims to analyze the supremum of several one-dimensional real functions with different characteristics using a grid-search method implemented in Python. Four functions were examined: a parabolic function, a rational function with a sharp peak, a discontinuous piecewise function, and a function with a vertical asymptote. The analysis involved modeling the functions, discretizing the domain, performing numerical approximation of the supremum, verifying the results against analytical values, and using graphical visualization to observe the function behavior near the supremum. The findings indicate that the supremum of the parabolic, rational, and piecewise functions can be accurately identified, with results consistent with analytical expectations despite minor deviations caused by grid resolution limitations in the rational function. Meanwhile, the function with a vertical asymptote yields an unbounded supremum, which cannot be attained within the domain. These results demonstrate that Python provides stable and reliable numerical estimates of the supremum across various types of one-dimensional real functions, validating the effectiveness of computational methods in supporting conceptual understanding of supremum.

This study examines the strategic role of Islamic banking in expanding financial inclusion and alleviating poverty in Indonesia. Using a qualitative literature review methodology, this research analyzes academic literature, regulations, and official reports to identify the contributions, challenges, and optimization strategies of Islamic banking. Findings indicate that Islamic banking provides financing alternatives aligned with Islamic values through products such as mudharabah, musyarakah, and murabahah, enabling low-income communities to access capital without interest burdens. The management of Islamic social funds including zakat, infaq, sadaqah, and waqf strengthens social capital for micro-enterprise empowerment. However, significant barriers exist, including low Islamic financial literacy, limited access in remote areas, and suboptimal regulations. This study recommends enhancing financial literacy, developing technology-based inclusive products, strengthening supportive regulations, and fostering multi-stakeholder collaboration to optimize the role of Islamic banking as an instrument for inclusive and equitable economic development in Indonesia. The research contributes to the theoretical understanding of Islamic banking's potential in addressing financial exclusion and poverty while providing practical insights for policymakers and banking institutions.

The Indonesian Navy Academy is a military educational institution that produces cadets to become professional and reliable Indonesian Navy officers. Cadets are required to have strong physical and mental strength to achieve responsiveness, resilience, and resilience in undergoing education, training, and upbringing. To support learning and training activities, quality food intake and service are required. Quality meal service is needed in order to increase the satisfaction of AAL cadets during meal activities in the Hadiwinarso Rds Loungeroom. For this reason, qualified Human Resources are needed to man the Hadiwinarso Rds Loungeroom, namely Cooks and Waiters in improving meal services for cadets. The researcher focused on personnel development and made it as input to optimize the cooks and waiters in the Hadwinarso Rds Loungeroom to improve meal services for cadets. In this study, the SWOT method was used to reveal internal and external factors that influence the performance of Waiters and Cooks. This study is expected to find the right optimization strategy by identifying strengths, weaknesses, opportunities, and threats. After conducting a SWOT analysis, a strategy was obtained to optimize Waiters and Cooks with a combination strategy of Weakness-Opportunity in quadrant III. W-O strategy (supporting the Turn-Around strategy) namely the organization faces enormous opportunities, but on the other hand faces several internal obstacles/weaknesses with the focus of the strategy being to minimize internal weaknesses so that it can seize better opportunities. The results of the study show that the W-O Strategy that the author found is Strategy 1: Given training/courses according to their fields so that they can work optimally and acquire new skills, Strategy 2: Cooks and Waiters have experience in supporting protocol activities at AAL well. Working well and having experience is capital to open up opportunities for PHL to be appointed as PNS or promoted to division head/kitchen head by considering the working time and amount of experience during AAL, Strategy 3: AAL needs to have standardization in recruiting workers so that later workers are ready to be placed to work according to their fields and open up opportunities to continue improving skills/abilities through courses/training provided by AAL. Meanwhile, to standardize recruitment, researchers provide specific requirements for job applicants interested in becoming cooks and waiters at the Loungeroom at Rd. S Hadi Winarso

Dynamic programming (DP) is a foundational technique for solving multistage optimization problems; however, its classical formulation often incurs a cubic time complexity, rendering it impractical for large-scale real-world applications. This study proposes an accelerated dynamic programming framework that leverages quadrilateral inequality and convex monotonicity theory to significantly reduce computational overhead. By formally establishing the structural conditions under which DP decision boundaries exhibit monotone behavior, the proposed method eliminates redundant state transitions and maintains a sequence of admissible decisions through an efficient stack-based mechanism. The resulting algorithm achieves a worst-case complexity of O(n2) and can be further optimized to O(n) when convex monotonicity holds, representing a substantial improvement over traditional O (n3) techniques. Experimental validation using the classical stone-merging problem demonstrates that the accelerated method executes more than 60 times faster than the standard approach for large inputs, while maintaining identical optimal results. These findings confirm that embedding geometric regularities into DP formulations not only enhances performance but also broadens the applicability of dynamic programming to computation-intensive optimization tasks. This research contributes a mathematically grounded, scalability-oriented solution for accelerating dynamic programming, with implications for logistics, production planning, data segmentation, and other large-scale decision systems.

This research investigates integrated maritime workforce resilience and mental health management frameworks addressing post-pandemic seafarer wellbeing challenges and organizational safety culture transformation. Through qualitative analysis involving 39 stakeholders including seafarers, ship operators, mental health professionals, maritime unions, training institutions, and maritime authorities, this study examines how COVID-19 pandemic intensified mental health crises through extended contracts, shore leave restrictions, and isolation while exposing systemic inadequacies in psychological support systems. Results demonstrate that comprehensive mental health frameworks can reduce psychological distress by 55-70%, improve safety performance by 40-55%, enhance crew retention by 45-60%, and decrease incident rates by 35-50% when integrating organizational culture change, leadership competency development, predictive analytics, and culturally-adapted interventions. Key challenges include mental health stigma (affecting 65-80% of seafarers), limited organizational investment (only 18-25% adequate), service accessibility gaps, and workforce demographic diversity requiring culturally-sensitive approaches. Findings reveal that effective mental health management requires systemic organizational transformation integrating psychological wellbeing into safety management systems, work design optimization, family support programs, and career sustainability rather than treating mental health as peripheral welfare concern, supporting maritime industry's workforce retention and operational safety imperatives.

This study examines the implementation of digital health services via the Mobile JKN application at the Payung Sekaki Community Health Center in Pekanbaru City and explores factors affecting service effectiveness, especially complaints about long waiting times. Using a descriptive qualitative approach based on the Mobile Health Acceptance Model by Handayani et al. (2021), the study focuses on five constructs: ease of use, system availability, system responsiveness, health workers’ digital skills, and user trust. The results show that Mobile JKN has significantly simplified administrative processes, accelerated registration, and improved service efficiency at the health center. Effectiveness is supported by factors such as the application’s general ease of use, faster queue data processing, and adequate digital skills among staff. Users also show a high level of trust, though queue time estimation still needs improvement. Despite these benefits, complaints about long waits persist due to patients who register online but still queue manually and misunderstandings between Mobile JKN and e-Puskesmas queue numbers. Late patient arrivals also contribute to delays. Overall, Mobile JKN proves effective in enhancing digital health services, but further optimization is needed through better socialization of service procedures, accurate queue information, and improved system integration to maximize the advantages of digitalization.

This research was conducted based on the importance of the image of educational institutions in gaining public trust, making the role of Public Relations (PR) as a public communication manager highly essential. MTs Fathur Rahman Sukorambi Jember was chosen as the research site because the institution is currently striving to enhance its positive image through the optimization of media and sustainable publicity strategies. The aim of this study is to describe the role of PR in building the image of the madrasah, as well as to analyze the communication strategies employed, the forms of publicity implemented, and the challenges faced in its execution.This research applies a qualitative approach with a field research design. Informants were selected through purposive sampling, involving parties considered relevant and knowledgeable about public relations activities, such as the head of the madrasah, PR staff, teachers, students, and parents’ representatives. Data were collected through observations of madrasah activities, in-depth interviews, and documentation in the form of archives and published media. The data were analyzed descriptively, emphasizing the researcher’s interpretation of communication patterns, publicity strategies, and their impact on public perception of the madrasah’s image.The findings reveal that PR functions as a communicator, mediator, and builder of a positive madrasah image. The use of conventional media and digital platforms such as Facebook, Instagram, and WhatsApp Groups has proven effective in reaching a wider community and enhancing public interaction. Documentation of academic and non-academic activities also strengthens the legitimacy of the institution’s achievements. The main obstacles encountered include limited human resources, technological facilities, and consistency in information management. Nevertheless, overall, the role of PR has been proven significant in improving the positive image of MTs Fathur Rahman Sukorambi Jember.

This research examines the implementation of green building principles in the design of the Multipurpose Building at SMP–SMA Islam Hidayatullah Semarang, focusing on energy-efficient strategies and spatial comfort based on the GREENSHIP GBCI certification criteria. The study employs a qualitative descriptive method through interviews with the architect, analysis of architectural drawings, interpretation of interior design visualizations produced by Falana Studio, and literature review on sustainable building design. The findings indicate that the building consistently applies passive design strategies, including the optimization of natural lighting through large openings and a central void, the application of cross-ventilation on each floor, and the integration of façade vegetation that reduces surface temperature and improves microclimate performance. Material selection such as GRC panels, HPL, and modular plywood supports long-term durability, while the interior design demonstrates strong visual comfort and ergonomic quality through indirect lighting, neutral color schemes, and activity-based furniture layout. According to the GREENSHIP assessment categories, the building fulfills Energy Efficiency and Conservation (EEC), Indoor Health and Comfort (IHC), Material Resources and Cycle (MRC), and Appropriate Site Development (ASD) criteria. In conclusion, the Multipurpose Building successfully integrates green building principles as an effective approach to energy efficiency and the enhancement of the educational environment.

This community service program aims to provide management assistance to micro and small batik industries in optimizing digital platform and social media-based marketing. This allows these micro and small batik industry players to reach a wider network and ensure their business sustainability in the future after the pandemic. This community service program uses a qualitative descriptive approach, which aims to capture the real-world conditions related to the management of batik industry players in Mojokerto. This mentoring program was attended by micro and small batik industry players, primarily small and craft industries, including 10 batik artisans and industry managers residing in Mojokerto. The mentoring method was implemented through four stages: a) identifying mentoring needs for micro and small batik industry players, b) selecting management literacy priorities, c) designing a management literacy mentoring program, and d) implementing the management mentoring program for micro and small batik industries. The management mentoring program indicates that micro and small batik industry players require ongoing marketing and business development management mentoring. After entering the COVID-19 pandemic, batik industry players in Mojokerto have not been able to recover to pre-COVID-19 levels in 2019. The management mentoring program includes four stages: a) delivering material on the role of management, business sustainability, business problems, and formulating solutions; b) identifying relevant management problems discussed in a focus group discussion; c) mentoring on marketing aspects and optimizing the role of cooperatives within batik industry groups; d) mentoring on business sustainability management through digital business optimization. Through this structured management mentoring program, micro and small batik industry players will be able to improve their management and business management.

Global economic developments show the acceleration of the adoption of circular business models, where resource efficiency and waste reduction are the main focuses to answer sustainability demands and SDGs targets. Although this trend is strengthening globally, MSMEs, especially those based on family businesses, are still lagging behind in their implementation, even though digitalization is increasingly opening up opportunities for operational optimization and innovation. The urgency of this research arises from the need to understand how the digital mindset and transformation of family business management can accelerate the readiness of MSMEs in implementing circular business practices. The novelty of this research lies in the integration of the three strategic concepts into a single analytical framework through the Systematic Literature Review (SLR), a perspective that has rarely been combined in previous studies. With the SLR method based on the PRISMA protocol, this study shows that MSMEs already have a strong foundation in the digital mindset, including technology readiness, innovation orientation, and adaptation of digital business models. Family business values have also been proven to support business continuity through knowledge transfer and long-term investment. However, the implementation of circular business practices is still weak, especially in resource cycle management, sustainable product design, and environmental impact measurement. The implication is that the synergy of digital mindset and family business governance can strengthen the transition of MSMEs to a circular economy that directly supports the achievement of the SDGs, especially in the areas of sustainable consumption-production and industrial innovation.

This study aims to conduct a systematic literature review and bibliometric analysis on Transformational Leadership (TL), based on empirical research. Despite extensive studies on TL in recent decades, comprehensive research remains limited. The methodology used is a Systematic Literature Review (SLR) of articles containing “Transformational Leadership” in the title, abstract, or keywords, sourced from the Scopus database, which yielded 1,297 publications from 1977 to 2025. The data were analyzed using VOSviewer software. The findings suggest that TL is an innovative model in vocational education, bridging industrial systems with academic environments for authentic, practice-based learning. However, challenges include limited resources, insufficient instructor training, and inadequate institutional support. Recent innovations, such as advanced ICT, holographic technology for real-time interaction, and digital twins for process optimization, have enhanced the model's effectiveness. The study also discusses the conceptual framework of TL. This research uses the Scopus database, and future studies could broaden its scope by incorporating other databases like Web of Science. Practically, the study’s findings suggest integrating modern pedagogical strategies, including gamification, simulation, and project-based learning, to enhance student engagement and understanding of manufacturing processes. Socially, it encourages educational institutions to invest in infrastructure, strengthen industry partnerships, and provide continuous instructor training. This study highlights the growing global research on TL and calls for deeper exploration of the topic in existing literature.

The stability of slopes in open-pit coal mining in Indonesia is significantly influenced by geological faults, which are a major factor causing slope failures. This study aims to examine the impact of faults on slope stability by conducting a systematic literature review of 25 scientific publications from 2018 to 2025. The results indicate that faults and fault zones consistently reduce rock mass integrity through several mechanisms, including stress concentration in weak zones, the formation of preferential sliding surfaces, amplification of hydro-mechanical effects from groundwater and rainfall, and the reduction of rock strength parameters. Case studies in Kalimantan and Sumatra confirm these mechanisms with slope failures aligning with fault orientations. Kinematic and numerical analyses using the Limit Equilibrium Method (LEM), Finite Element Method (FEM), and Distinct Element Method (DEM) show a reduction in the safety factor (SF) by up to 36% on slopes affected by faults. Practical recommendations include continuous monitoring using Slope Stability Radar (SSR), optimization of slope geometry with angles < 18° in fault zones, groundwater control, reinforcement with anchors and bolting, and UAV-based discontinuity mapping for hazard zoning. This study concludes that managing slopes in fault zones requires an integrated approach combining detailed geological investigation, multi-method numerical analysis, real-time monitoring, and specific mitigation design.

Indonesian Sign Language (BISINDO) serves as a primary communication medium for the deaf community; however, limited public understanding often creates barriers during daily interactions. This study aims to develop a real-time BISINDO word-level translation system using hand landmark extraction and temporal modeling with Long Short-Term Memory (LSTM). The system employs MediaPipe Hands to detect 21 hand landmarks per frame, which are then processed as sequential motion patterns to classify five BISINDO words: saya, terima kasih, maaf, nama, and kamu. A total of 250 gesture samples were recorded under controlled lighting conditions as the primary dataset. The processed sequences were used to train the LSTM model, which was subsequently integrated with an ESP32 microcontroller and a DFPlayer Mini module to produce direct audio output. Experimental results show that the model achieved an average accuracy of 86%, with precision and recall values ranging from 0.81 to 0.94. The confusion matrix analysis indicates that most gestures were correctly classified, although some errors occurred in gestures with similar initial motion trajectories. Integration testing demonstrated an average system latency of 3.8 seconds and an audio output success rate of 85%. These findings indicate that the proposed system is capable of translating BISINDO word-level gestures accurately, responsively, and consistently in real-time conditions. This study provides a strong foundation for the broader development of sign language translation systems, with potential enhancements in vocabulary expansion, multi-user datasets, and hardware optimization for deployment in real-world environments.

The growing demand for energy-efficient and intelligent thermal systems has driven significant advancements in adaptive compressor design. This paper presents a comprehensive literature review on the development of AI-based compressor systems, with a specific focus on enhancing efficiency under partial-load conditions and optimizing the utilization of residual energy. Through the synthesis of five recent high-impact studies (2020–2025), we examine the application of deep reinforcement learning (DRL), hybrid evolutionary algorithms, and neural network surrogate modeling in compressor optimization. Key findings indicate that model-based DRL combined with surrogate CFD can achieve up to 8% efficiency gains at off-design conditions. Hybrid approaches integrating Genetic Algorithms (GA) with DRL reduce optimization time by 30% while improving pressure ratios. Neural network surrogates provide high-speed, real-time performance predictions with less than 1% error, enabling mass iterative design. Furthermore, intelligent load classification using radial basis function networks (RBFN) allows adaptive response to varying operating conditions with over 95% accuracy. Collectively, these methods form a framework for intelligent, self-optimizing compressor systems capable of real-time adaptation and energy recovery. The results suggest that AI-enhanced adaptive compressors represent a transformative direction for energy-sensitive sectors, including HVAC, power generation, and sustainable industry.

The development of the batik industry today requires business actors to be able to implement effective marketing strategies in order to increase competitiveness and encourage consumer purchasing decisions. This study aims to analyze the effect of promotion, product innovation, and digital marketing on purchasing decisions for Batik Lochatara products in Wates, Kediri Regency. This research uses a quantitative method with a survey approach through distributing questionnaires to Batik Lochatara consumers in Wates, Kediri Regency. The analysis techniques used in this study include multiple linear regression, partial test (t test), simultaneous test (F test), and the coefficient of determination to determine the contribution of each independent variable to the dependent variable. The results of this study indicate that partially promotion, product innovation, and digital marketing have a positive and significant effect on purchasing decisions. While simultaneously, the three variables are also proven to have a significant influence on purchasing decisions with an adjusted R-square value of 0.743 or 74.3%. This means that purchasing decisions at Batik Lochatara can be explained by promotion, product innovation, and digital marketing by 74.3%, while 25.7% is influenced by other factors not studied. This finding confirms that the right promotional strategy, continuous product innovation, and digital marketing optimization are important factors in increasing consumer interest and purchasing decisions for local batik products in modern markets.

This study aims to analyze the quality of coal from the AR_10 borehole in Muara Enim Regency, South Sumatra, based on proximate analysis. The AR_10 borehole has three coal seams (A, B, and C) that were analyzed using the standard ASTM method to determine the coal quality characteristics. The parameters analyzed include total moisture (TM), volatile matter (VM), fixed carbon (FC), ash content (Ash), calorific value (CV), and total sulfur (TS) on an as-received (AR) basis. The analysis results show that seam A has the highest moisture content (19%), seam B exhibits the optimal calorific value (6045 kcal/kg), and seam C has the highest fixed carbon content (42.63%) with the highest sulfur content (0.83%). The correlation between parameters indicates that increases in moisture and ash content negatively affect the calorific value, while an increase in fixed carbon is positively correlated with the calorific value. All three seams fall into the category of low to medium rank coal (subbituminous to high volatile bituminous) with adequate quality for power generation and industrial purposes. This research provides an important contribution to the characterization of Muara Enim Formation coal in South Sumatra for the optimization of local coal resource utilization.

This study aims to analyze the optimization of sports equipment procurement in relation to improving the quality of public services in the sports sector in Gelora Tomo, Surabaya City. This study uses the SERVQUAL theoretical approach (Parasuraman, Zeithaml, & Berry, 1988) which includes five main dimensions, namely tangibles, reliability, responsiveness, assurance, and empathy. The research method used was qualitative-quantitative descriptive with data collection through field observation, documentation, and surveys of 150 respondents who used sports facilities. The results of the study showed that the level of optimization of sports equipment procurement was in the category of quite optimal with an average score of 3.49, while the quality of public services increased to 3.68 (good category). The highest improvement occurred in the tangibles and reliability dimensions, while the empathy dimension still needs to be strengthened through public participation and user-based needs evaluation. Theoretically, these results confirm the relevance of the SERVQUAL model in measuring the quality of public services in the sports sector. Optimizing the procurement of effective, transparent, and needs-oriented equipment has proven to be a key determinant in building inclusive, professional, and sustainable sports public services.

The Legal Proficiency Practice Program II is an activity designed to connect the academic competence of students with the needs of work in legal institutions, one of which is the Regional Office of the Ministry of Law in Central Kalimantan. The main problem raised in this activity is how the optimization of student work competence can be achieved through direct involvement in the legal bureaucracy environment. The purpose is to provide a real professional experience, strengthen students' understanding of legal and administrative tasks, and form a professional identity as a prospective legal practitioner. The methods used include the placement of students with a rotation system in various work units for 30 days, observation of bureaucratic activities, involvement in substantive and administrative tasks. The implementation results show that the direct involvement of students in various work units can improve technical competencies, such as document management, meeting assistance, and information services, as well as develop non-technical competencies such as work ethics, communication, discipline, and time management. The internalization of PASTI values and the reflection process through the logbook also strengthens the formation of students' professional identity. Overall, the PKH II program is proven to be effective in optimizing the work competence of students and increasing their readiness to enter the world of the legal profession.