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The KRI Nagapasa Class is a submarine of the Indonesian Navy that has the capability to deploy sea mines, launch anti-surface missiles, and release countermeasure torpedoes. However, to face the increasingly complex dynamics of the regional strategic environment, it is necessary to increase combat power through the installation of a Sub Launch Missile weapon system. Until now, the Indonesian Navy does not have a submarine equipped with this underwater missile, especially in the Chang Bogo class. This study aims to analyze and determine the most appropriate choice of Sub Launch Missile missiles to support submarine training and operations. The method used is the Analytic Hierarchy Process (AHP) with a quantitative approach. The results of the ranking of five respondents showed that the SM-39 Exocet missile was in first place with a value of 0.46424 followed by the CM708UNB with a value of 0.41461 and the UGM-84 Harpoon with a value of 0.12115. The SM-39 Exocet missile was chosen as a priority because it has technical specifications that best meet the operational needs of the Indonesian Navy (TNI AL), as well as significantly contributing to enhancing the deterrence effect and combat capability of the Nagapasa-class submarines.

The UNAMA Library employs information systems to enhance its academic services. Nevertheless, its administrative framework continues to encounter obstacles, such as inadequate service system support for users, constrained resources allocated for the management and upkeep of the system, an absence of standardized protocols for addressing technical challenges, and insufficient assessment system efficacy. If these issues remain unaddressed, the operational effectiveness of the library information system will be compromised, thereby thwarting the objective of delivering dependable information services. This investigation seeks to illuminate the maturity level of information system governance as delineated by COBIT 2019 within the Decision Support Systems (DSS) domain, specifically focusing on the DSS01 (Manage Operations) and DSS02 (Manage Service Requests and Incidents) processes. The findings suggest that the degree of information system governance capability the UNAMA Library is situated at the Established Process level (level 3), signifying that the process has undergone implementation; however, it has yet to be comprehensively documented and consistently evaluated. Moreover, a disparity persists between the existing state and the anticipated capability level of the organization, particularly concerning IT operations management, the standardization incident handling, and the documentation of operational procedures. An elucidation of the expected level is articulated, especially in terms of operational standards, incident documentation, and IT infrastructure oversight. Recommendations encompass the formulation of standard operating procedures (SOPs), the enhancement of documentation practices, and periodic assessments grounded in COBIT 2019. These findings are anticipated to assist libraries in augmenting the efficacy of information systems governance and the quality of IT services.

This research investigates the execution of data-informed and inclusive regional development planning within the Regional Development Planning Agency (Bappeda) of Sidoarjo Regency, concentrating on four analytical aspects: data integration and management abilities, the efficiency of participatory processes, technical and institutional obstacles concerning interoperability, and capacity-building strategies for facilitators tasked with translating public aspirations into planning priorities. The study is positioned within the national framework to establish evidence-based and participatory planning in reaction to the growing complexity regional development. Despite Bappeda Sidoarjo implementing multiple data platforms and participatory channels such Musrenbang forums, online submission systems, and sector-specific information systems the results indicate that issues like data fragmentation, insufficient digital literacy, and ineffective follow-up mechanisms continue to impede planning effectiveness. Employing qualitative methodology that includes in-depth interviews, observation, and document review, the research reveals that data integration has not reached single source of truth because of the lack of a cohesive data architecture and compatible standards among government entities. Participatory methods have increased inclusivity, but the quality of proposals and verification processes is still variable, hindering the incorporation of grassroots feedback into planning priorities. Moreover, the ability of facilitators the subdistrict and village levels is crucial in determining the quality of the compiled proposals. The research ends by highlighting the importance of improved data governance, increased actor capability, revised participatory processes, and clear follow-up mechanisms. Suggestions encompass constructing a unified data framework, offering ongoing technical training, standardizing digital Musrenbang processes, and establishing publicly available proposal-tracking system integrated within the yearly planning cycle.

The danger of cadmium contamination in water sources remains a crucial environmental issue due to its persistent nature and high toxicity level, which poses serious risks to human health and ecosystems. Cadmium is a non-biodegradable heavy metal that can accumulate in living organisms over time. The presence of these toxic Cd²⁺ ions is known to trigger damage to vital organs such as the liver and kidneys; therefore, reducing their concentration in aquatic environments is of paramount importance for environmental protection and public health safety. Among various treatment methods, adsorption is considered one of the most effective and economical techniques for removing heavy metal ions from contaminated water. In this study, the capability of mesoporous silica MCM-48-NH₂ as an adsorbent for Cd²⁺ ions was systematically evaluated. The adsorption performance was examined by investigating several important parameters, including contact time, solution acidity level (pH), and initial Cd²⁺ concentration. Furthermore, the adsorption mechanism and interaction between Cd²⁺ ions and the adsorbent surface were analyzed using Langmuir and Freundlich isotherm models. The results demonstrate that the adsorption process of Cd²⁺ ions onto MCM-48-NH₂ tends to follow the Langmuir isotherm model, indicating monolayer adsorption behavior, with a maximum adsorption capacity of 0.66 mmol g⁻¹.

The rapid development of technology in today's era requires every profession to align with existing developments. The teaching profession is no exception. Teachers must be able to utilize technology in the learning process to create an engaging learning environment for students. To support this capability, training is essential. This community service activity aims to provide training to teachers at Bancong  Elementary School in Wonoasri District, Madiun Regency, to familiarize themselves with and be able to use the GeoGebra application. This training also aims to improve teachers' competency in utilizing digital technology as a learning medium. The GeoGebra application is an effective application for solving mathematics problems in elementary schools, particularly in geometry, particularly plane figures. The implementation method for this activity includes preparation, training, and mentoring. The training was provided in the form of workshops and hands-on practice using GeoGebra-based mathematics learning media. The activity proceeded orderly and smoothly, and the training participants understood the material well, both theoretically and in practice.

Information technology (IT) governance plays a strategic role in supporting the achievement of organizational goals, especially in higher education institutions. Adiwangsa University Jambi, as a private university, is required to manage IT effectively, efficiently, and in line with the institution's vision. This study aims to analyze the level of IT governance capabilities at Adiwangsa Jambi University using the COBIT 2019 framework with a focus on the EDM (Evaluate, Direct, Monitor) domain. The research method used is a descriptive quantitative method through data collection using questionnaires, interviews, and documentation studies. The results show that the level of IT governance capability in the EDM domain is at level 2 (Managed Process), indicating that the IT governance process is running but still needs improvement in several aspects, especially in monitoring and controlling IT performance. This study is expected to provide recommendations for Adiwangsa University Jambi in improving IT governance in a sustainable manner.

SMP Negeri 5 Merlung is a public junior high school in Merlung Subdistrict that has utilized the DAPODIK system for online data processing management, enabling efficient sending and receiving of information to the government. This research analyzes IT governance on the DAPODIK system using the COBIT 5 framework, specifically the MEA01 domain (Monitor, Evaluate and Assess Performance and Conformance), which focuses on monitoring and evaluating performance and conformance. The research background is based on the need to maximize the utilization of the system at the school level. The main objectives are to determine the current and expected capability levels, as well as to provide improvement recommendations to achieve higher process maturity. The research method applies Assessment Process Activities, covering observation, interviews, identification of findings, gap analysis, and recommendations. The results show that the current capability level is at level 3 (established process), while the expected capability level is directed toward level 4 (predictable process). The implications of these findings provide practical recommendations such as routine monitoring enhancements, staff training, and integration of automation tools to bridge the capability gap, thereby improving the effectiveness of IT governance at SMP Negeri 5 Merlung sustainably.

This study aims to analyze the quality control of white crystal sugar production at ABC Sugar Factory using the Statistical Quality Control (SQC) method. The research employed a descriptive quantitative approach with a case study design. The primary data consisted of production volume and defective product data during the 2024 production period, while supporting data were obtained through observation and interviews with the Quality Control department. The analytical tools applied included check sheets, histograms, Pareto diagrams, p control charts, and fishbone diagrams. The results show that from a total production of 190,745.89 tons, defective products amounted to 66.70 tons, representing 0.33 percent of total output. The identified defects consisted of wet sugar at 45 percent, brownish sugar color at 30 percent, and oversized sugar crystals at 25 percent. Defective products occurred only during the first to third production periods, while no defects were observed from the fourth to seventh periods. The p chart analysis indicates that the production process was statistically out of control in the early periods but became stable and controlled in the subsequent periods. From a managerial perspective, these findings provide practical guidance for improving manufacturing quality through enhanced process control, equipment maintenance, and workforce capability development.

The International Maritime Organization (IMO), as one of the key organizations contributing to the reduction of carbon emissions in the maritime sector, offers several options that maritime industry stakeholders can utilize to measure carbon emissions, one of which is calculating the Energy Efficiency Operational Indicator (EEOI). The statistical x-bar control chart, employed as a monitoring instrument for the EEOI quality parameter, indicates that one container ship trip recorded an EEOI value of 0.00104, which exceeded the upper control limit of 0.00098. The results of process capability analysis on the initial dataset sample revealed that the value of Cp < 1, indicating that energy efficiency performance was not satisfactory. Process control was subsequently applied by eliminating anomalous data, which demonstrated a potential reduction in fuel consumption and EEOI by approximately 25%, as reflected in the improvement of the Cp value. The potential for enhancing the ship’s operational capability, however, still requires further control measures to improve energy efficiency performance. The reduction in fuel consumption directly contributes to lower emission levels, thereby supporting the realization of a sustainable shipping industry.

This research is a Systematic Literature Review (SLR) that aims to identify, analyze, and synthesize scientific literature related to effective facilitation strategies in the context of organizational capability development and employee learning improvement. The main focus of this research is to map various forms of facilitation interventions, assess their impact on organizational capabilities such as innovation, adaptability, and efficiency, and explore the role of facilitation in strengthening organizational and individual learning mechanisms. By using an SLR approach that follows the guidelines of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), this study ensures transparency and replication of the study process. The results of the synthesis show that facilitation strategies contribute significantly to improving organizational capabilities through the creation of a collaborative learning environment, strengthening communication, and improving employees' adaptive skills. In addition, facilitation has been proven to support the integration of new knowledge into organizational practices, thereby strengthening competitiveness and sustainability. These findings are expected to provide evidence-based guidance for practitioners in designing effective facilitation interventions, as well as a theoretical basis for future researchers to develop studies on the relationship between facilitation, learning, and organizational capabilities.

This study employs the Systematic Literature Review (SLR) method following the PRISMA 2020 Statement guidelines to identify the main models and indicators used in measuring the performance of Micro, Small, and Medium Enterprises (MSMEs). The literature selection process includes the stages of identification, screening, eligibility assessment, and inclusion, resulting in ten articles from reputable Q1 international journals. The analysis reveals that the most frequently used performance measurement models are integrated performance models such as the Balanced Scorecard, Performance Prism, and models based on resource capability, customer, internal process, and financial perspectives. Commonly used indicators include sales growth, profitability, market share, customer satisfaction, process flexibility, technology adoption, and business sustainability. The study concludes that although financial measures remain dominant, non-financial dimensions—such as digital capability, stakeholder engagement, and internal process effectiveness—are increasingly important for MSMEs operating in the context of global market dynamics and digital transformation. The implications of this study provide theoretical contributions to the development of MSME performance measurement frameworks and offer practical guidance for MSME managers in selecting indicators that align with the characteristics of small and medium-sized enterprises.

The implementation of educational policies in schools plays a pivotal role in improving the quality of teaching and learning processes. The success of these policies is determined by the readiness of educational institutions, the professional competence of teachers, and the active involvement of various supporting stakeholders. Each of these elements significantly contributes to the effectiveness of learning outcomes in the classroom. However, policy implementation often faces challenges such as inadequate infrastructure, lack of comprehensive teacher training, and a mismatch between national policies and the specific needs of local educational contexts. In this regard, schools must be able to adapt policy frameworks to suit their unique environments, ensuring that the goals of the policy are effectively aligned with students’ learning needs. Teachers play a central role as key implementers who are not only required to understand the substance of educational policies but also to apply them creatively and contextually in their classrooms. Their ability to interpret and operationalize these policies directly affects the quality of educational delivery. Furthermore, continuous evaluation is essential to measure the extent to which policies have been effectively implemented. This evaluation process serves not only as a feedback mechanism but also as a basis for future policy adjustments and improvements. It enables stakeholders to identify gaps, assess outcomes, and refine strategies to ensure sustainable educational development. In conclusion, effective policy implementation requires a holistic approach that involves institutional preparedness, teacher capability, stakeholder support, contextual adaptation, and ongoing evaluation. Without these elements working in synergy, even well-formulated policies may fall short in achieving their intended impact on educational quality and student success.

Making lesson plans (RPPs) is an essential part of implementing the 2013 curriculum because it gives instructors a practical guidance for carrying out the learning process, which is focused on developing students' character and taking a scientific approach.  The purpose of this study is to evaluate the appropriateness and quality of the RPP that instructors created in relation to the 2013 Curriculum.  The RPP was created by teachers in several elementary and high schools using a document study approach and a descriptive qualitative research methodology. According to Permendikbud Number 14 of 2019, the majority of RPPs have incorporated the required elements, including subject identity, core and basic competencies, learning objectives, learning materials, methods, media, learning resources, learning steps, and assessment.  Authentic evaluation, literacy integration, and the application of a thorough scientific approach were nevertheless determined to have shortcomings and were not yet at their best.  These results show that in order to increase the quality of learning planning in accordance with the 2013 Curriculum's tenets, teachers' capability must be strengthened through ongoing training and professional development.

This study examines the role of digital technology-based business innovation strategies in enhancing the competitiveness of small and medium-sized enterprises (SMEs) in Indonesia. As the digital economy continues to grow rapidly, SMEs face both opportunities and challenges in adapting to technological change. The research aims to analyze how digital transformation, including the adoption of e-commerce, digital marketing, and financial technology, influences business performance and market competitiveness. Using a quantitative approach, data were collected from 250 SMEs across various sectors through structured questionnaires and analyzed using multiple regression analysis. The results indicate that digital innovation significantly improves operational efficiency, customer engagement, and market expansion, which in turn enhance the overall competitiveness of SMEs. Moreover, managerial capability and digital literacy are found to moderate the relationship between technology adoption and competitiveness. The findings suggest that to sustain competitive advantage, SMEs should integrate digital innovation into their strategic management processes and continuously invest in technology and human resource development. This study contributes to the understanding of how digitalization can drive business resilience and sustainable growth within the SME sector in Indonesia.

This study aims to design and develop an expert system to assist in diagnosing diseases in dairy cattle at Cibugary Farm using the Forward Chaining method. The background of this research lies in the limited knowledge of farmers in identifying early symptoms of diseases, which often leads to delays in medical treatment and negatively affects dairy cattle productivity. To address this issue, an expert system was designed to replicate the reasoning process of a human expert through a knowledge base containing diagnostic rules derived from observable symptoms. The Forward Chaining method was chosen because of its capability to trace facts from known symptoms toward a conclusion regarding the type of disease affecting the cattle. The system was developed by incorporating common disease symptoms, inference rules, and a decision-making mechanism that simulates expert analysis. Testing was carried out on several diagnostic scenarios to evaluate the accuracy and efficiency of the system. The results of the study indicate that the expert system can provide an initial diagnosis quickly and accurately, producing outputs consistent with expert assessments. This functionality assists farmers in making timely decisions regarding appropriate medical interventions, thereby reducing treatment delays and minimizing the risk of disease transmission within the herd. Consequently, the Forward Chaining-based expert system is expected to serve as an innovative solution to improve dairy cattle health management and support sustainable livestock productivity at Cibugary Farm.

Efficient operations of PT PLN, as a vital electricity provider, heavily rely on effective service management, including customer data collection and payment processing. Employee performance supervision is crucial to ensure optimal results and customer satisfaction, given that traditional manual systems often suffer from inefficiencies, inaccuracies, and delays. This research aims to develop and implement a web-based performance monitoring system for electricity bill delivery officers to enhance operational efficiency and accountability at PT PLN. The Waterfall method was adopted as a systematic development framework, encompassing stages of requirements analysis, design using Unified Modeling Language (UML) such as use case diagrams and activity diagrams, implementation with PHP and MySQL, and black box testing to validate system functionality. The results of the black box testing indicate that all main functions of the system, including user authentication, user data management, uploading of daily reports and supporting files by officers, and the administrator's ability to monitor and review reports, function as expected. The successful implementation of this system indicates its capability to overcome the limitations of manual methods and provide real-time visibility into the performance of field officers. Thus, this web-based monitoring system not only contributes to improving data accuracy and operational efficiency at PT PLN but also supports more informative and strategic managerial decision-making, aligning with digital transformation initiatives in the energy sector

This study aims to explore the concept of Qur’anic Spiritual Intelligence and its role in developing high-quality human resources, with a specific focus on the implementation at SMAIT Ash-Shohwah Berau. Qur’anic Spiritual Intelligence refers to a form of spiritual capacity derived from deep interaction with the Qur’an, encompassing the intelligence of the spirit, soul, heart, and moral consciousness. This research employs a qualitative method with a case study approach to provide an in-depth understanding of the phenomenon. Data were collected through semi-structured interviews with teachers and students, participant observations during religious and academic activities, and documentation analysis of school programs. The findings reveal that the cultivation of Qur’anic Spiritual Intelligence at SMAIT Ash-Shohwah Berau is systematically integrated into the school’s curriculum and extracurricular programs, particularly through the high-quality Tahfidzul Qur’an program, which is mandatory for all students. The process of memorizing the Qur’an is not only aimed at achieving mastery of verses but also at nurturing closeness to Allah SWT, shaping attitudes and values that form the foundation of high-quality human resources. Students participating in the program demonstrate notable improvements in discipline, responsibility, enthusiasm for learning, social competence, emotional regulation, honesty, independence, and leadership skills. Furthermore, the study highlights that Qur’anic Spiritual Intelligence serves as a transformative element, influencing both academic achievement and personal character. It fosters an integrated development that balances intellectual capability with moral integrity, enabling students to contribute meaningfully to society. The results suggest that embedding Qur’anic Spiritual Intelligence in educational settings can be a strategic pathway for producing graduates who are not only academically competent but also spiritually grounded and socially responsible. This has significant implications for Islamic education institutions aiming to develop comprehensive human resources aligned with Qur’anic values and the demands of the modern world.

This research examines the legal issues surrounding the Environmental Impact Assessment (Analisis Mengenai Dampak Lingkungan—AMDAL) as a prerequisite for obtaining business or activity permits in Indonesia. The study adopts a normative juridical approach, analyzing legal theories, concepts, and principles relevant to environmental law. The enactment of Law Number 11 of 2020 on Job Creation introduced significant amendments, deletions, and new provisions to Law Number 32 of 2009 concerning Environmental Protection and Management (PPLH Law). One of the most substantial changes is the removal of the explicit obligation to obtain an environmental permit, replacing it with a requirement for environmental approval issued by the central government. This environmental approval consists of the Statement of Environmental Management Capability (Pernyataan Kesanggupan Pengelolaan Lingkungan Hidup—PKLHP) and the Environmental Feasibility Decision (Keputusan Kelayakan Lingkungan Hidup—KKLH), both intended to ensure that businesses and activities comply with environmental standards before commencing operations. However, the revision also affects public participation in the AMDAL process. Under the Job Creation Law, opportunities for environmental organizations and local communities to be involved in the preparation, review, and decision-making stages of AMDAL have been significantly reduced. This shift raises concerns about transparency, accountability, and the integration of environmental, social, and economic considerations in decision-making. In the context of sustainable development, environmental permits or approvals should not only serve as administrative formalities but also as instruments to safeguard environmental quality and uphold public interest. Public participation plays a critical role in ensuring that AMDAL processes reflect diverse perspectives, promote environmental justice, and support the long-term goals of environmental protection. The study concludes that while the Job Creation Law aims to streamline licensing and promote investment, its impact on public involvement in environmental governance poses risks to the integrity of environmental protection frameworks in Indonesia.

Competition in Indonesia’s business world today compels companies to strategize in order to outperform their rivals. Only those companies that are truly strong, implement competitive strategies correctly, and carry out intensive promotions will succeed. One promotional tool that is expected to directly establish, improve, dominate, or maintain mutually beneficial exchange relationships with customers is personal selling, particularly aimed at encouraging consumers to purchase the offered products.A company’s goal is to obtain maximum profit from its business operations. To achieve this, managerial expertise and capability are required to combine the functions within the company effectively. Personal selling is carried out by the company to introduce its products, influence and inform consumers, so they are encouraged to buy—ultimately increasing sales volume.This study seeks to examine whether personal selling has a significant impact on increasing sales volume at PT. Intermas Tata Trading, Surabaya branch. A qualitative approach is used, supported by both qualitative and quantitative data from the company. Data collection techniques include editing, tabulating, and interviews. Data processing involves simple correlation analysis, simple regression analysis, and t-tests. Hypothesis testing is conducted using statistical analysis with SPSS 16.0.The study results confirm that the hypothesis is true: the personal selling variable (X) has a significant influence on the sales volume (Y) at PT. Intermas Tata Trading, Surabaya. This is evidenced by the t-value (4.005) > t-table (2.228) at a significance level of 0.002. The simple correlation coefficient is 0.785 or 78.5%, indicating a very strong and positive relationship between the independent variable (personal selling) and the dependent variable (sales volume).

Environmental health risks, including air pollution, unsafe water, and climate-sensitive diseases, remain pressing global challenges that continue to threaten public well-being. Conventional monitoring systems are typically manual, costly, and geographically limited, making it difficult to provide timely and accurate data for intervention. This study explores how digital health technologies—specifically mobile health (mHealth), the Internet of Things (IoT), artificial intelligence (AI), and remote sensing—are applied to strengthen the monitoring and management of environmental health risks. A structured literature review was carried out by synthesizing 87 peer-reviewed articles published between 2013 and 2024, using an evaluation framework built on keyword clustering, metadata filtering, and multi-criteria scoring to assess usability, scalability, interoperability, and relevance to health outcomes. Findings show that mHealth platforms are highly accessible and user-friendly but often face limitations in integration with broader health systems. IoT and AI technologies offer strong scalability and predictive capability, particularly in real-time risk detection, though they are hindered by interoperability issues across platforms. Meanwhile, remote sensing is powerful for capturing large-scale environmental data but lacks direct connections to health-specific applications. The analysis identifies a critical gap in the integration of these technologies, emphasizing the need for cross-sector collaboration to build more robust, interoperable systems. Additionally, the findings highlight the importance of ethical considerations, validation processes, and interdisciplinary approaches to ensure sustainable and impactful implementation. Overall, this study provides not only a comparative synthesis of current practices but also a methodological roadmap to guide future digital innovations in environmental health. By bridging technological potential with practical application, it underscores the urgent need for integrated strategies that can better address the growing complexity of environmental health risks in the modern era.