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This study aims to analyze the role of organizational communication in improving organizational performance using a systematic literature review approach with a descriptive qualitative method. The data were obtained from various relevant scientific literature sources, including national journals and academic articles discussing organizational communication and performance. The results indicate that organizational communication plays a significant role in enhancing performance through effective vertical and horizontal communication patterns, clarity of information flow, and improved work coordination. In addition, organizational communication contributes to building harmonious working relationships, increasing motivation, and strengthening organizational commitment. Leadership plays a crucial role in managing communication effectiveness within the organization. However, communication effectiveness is also influenced by supporting and inhibiting factors, such as work environment, communication skills, and differences in individual perceptions. Therefore, organizations need to manage communication strategically to achieve optimal performance. This study provides theoretical contributions to the development of organizational communication studies and practical implications for organizations in improving communication effectiveness.

Market levies are a regional taxation category that holds significant promise for increasing regional fiscal resources, complementing local tax revenues. The objectives of this study are; (1) Understanding the Communication Mechanism in the Implementation of Market Service Fee Policy in Gorontalo City. (2) Examination of Resource Availability in the Implementation of Market Service Tax Policy in Gorontalo. (3) Understanding the Bureaucratic Framework in the Implementation of Market Service Tax Policy in Gorontalo City. (4) Examination of the Implementation of Market Service Tax Policy Disposition in Gorontalo City. The method used in this study is a descriptive qualitative method. The results of this study indicate that the communication of market service fee policy has been carried out through systematic formal channels and is supported by a clear bureaucratic structure and division of tasks, but its implementation is still not optimal. This is caused by several obstacles, including unequal understanding and distribution of information among traders, limited resources in terms of both quantity and quality of human resources, budget, and inadequate market facilities. Furthermore, weak coordination and suboptimal implementation of SOPs in the field also impact work consistency, while the disposition or attitude of implementers who have demonstrated commitment but are not yet unified requires a more comprehensive strategic approach. Therefore, integrated efforts are needed, including improving the communication framework, strengthening human resource capacity, improving facilities, stricter supervision, and ongoing coaching to create more effective and professional policy implementation.

Radio Gagak Rimang is a Local Public Broadcasting Institution (LPPL) owned by the Blora Regency Government that serves the function of disseminating public information, preserving local culture, and providing entertainment for the community. Objectively and systematically measuring listener satisfaction is a fundamental necessity to maintain sustainability and improve broadcast quality. This study applies the Decision Tree algorithm with the Gini Index criterion to classify listener satisfaction levels based on three main attributes: signal quality, content quality, and presenter quality. Data were collected through a survey of 200 respondents in Blora Regency using a Likert scale questionnaire (1-5). The satisfaction target variable was classified into three classes: Fairly Satisfied, Satisfied, and Very Satisfied. The data were divided with an 80:20 ratio for model training and testing. The evaluation results show that the Decision Tree model achieved an accuracy of 90.00% on the test data and an average accuracy of 88.00% on 10-fold cross validation. The presenter quality attribute had the highest contribution to the classification process at 47.13%, followed by signal quality at 32.60%, and content quality at 17.97%. These findings demonstrate that the Decision Tree algorithm is effective as a decision-support tool for evaluating local radio listener satisfaction.

Hypertension is a global health problem that requires ongoing management, one of which is through a low-salt diet. However, many people with hypertension do not adhere to this diet due to a lack of information and understanding of the disease's risks. The Health Belief Model (HBM) can be utilized as a health education method to encourage hypertension management behavior using leaflets. This study aims to analyze the application of the HBM theory in the use of leaflets to increase knowledge about a low-salt diet among hypertensive patients in the community. The method used in this study was a literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines through the steps of identification, screening, eligibility assessment, and selection of articles until 16 articles were obtained that met the inclusion criteria. The results of this study indicate that leaflets are effective in increasing knowledge about a low-salt diet, adherence to health behaviors, and blood pressure control for people with hypertension. The components of the HBM, such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and cues to action, play a role in shaping risk perceptions and encouraging changes in health behavior. Therefore, leaflets based on HBM are highly recommended as a form of promotional and preventive intervention in nursing practice in the community because they are easy to use, low cost, and support self-management of hypertension.

 The rapid adoption of smartphones among Indonesian digital natives has increased reliance on biometric authentication systems. However, empirical evidence regarding the relationship between user satisfaction and security risk awareness remains limited, particularly in developing-country contexts. This study investigates the behavioral dynamics of biometric security perception among 266 respondents, consisting of 221 high school students and 45 university students in Indonesia. A Python-based computational pipeline incorporating Akaike Information Criterion (AIC) validation and 1,000-iteration stochastic bootstrapping was employed to evaluate nonlinear behavioral patterns using Polynomial Regression and Ordinary Least Squares (OLS) multivariate analysis. The results confirm the existence of a nonlinear Security Paradox. While the overall population demonstrates a positive quadratic trajectory, the university student group exhibits a concave-down parabolic relationship (a=−0.0460), indicating a decline in perceived utility beyond a specific security threshold. The identified behavioral breaking point occurs at X≈5.45 (95% CI: 2.99–20.77), suggesting that excessive security hardening may reduce perceived usability and increase cognitive friction. Furthermore, the ablation analysis reveals that security risk awareness (p<0.001) is the strongest predictor of user satisfaction, exceeding the influence of daily usage intensity. Segment-level analysis further demonstrates behavioral divergence between respondent groups. High school students exhibit relatively uniform satisfaction toward biometric systems, whereas university students display greater variability and more critical perceptions regarding authentication friction. These findings indicate that highly rigid security configurations may become less effective for users with higher digital literacy and risk awareness. This study contributes a computationally validated behavioral framework for understanding security–utility trade-offs and provides a conceptual foundation for developing adaptive, user-centric, and friction-aware biometric authentication systems.

The flash floods that struck Aceh Tamiang caused infrastructure damage and contaminated clean water sources, making it difficult for residents to obtain potable water. This situation increases the risk of water-borne diseases and worsens the post-disaster situation. This research aims to develop a large-scale, simple water filtration prototype as an emergency response solution that is effective, economical, and easy to implement by affected communities. The methods used include field observation, water sampling, testing simple physical parameters (turbidity, color, odor, and pH), and designing a gravity-based, multi-stage filtration system without electricity. The prototype uses a combination of filter media such as gravel, silica sand, activated charcoal, and natural fibers in a drum system. Test results show a decrease in turbidity levels from 150–300 NTU to 5–15 NTU after the filtration process, as well as an increase in pH to near neutral. The filtered water is declared suitable for sanitation and consumption after undergoing a further disinfection process. In addition to implementing the technology, this research also includes public education regarding the selection of safe water sources and maintenance of the filtration system. Based on these results, this large-scale simple water filtration prototype is effective as an appropriate technological solution in handling the post-disaster clean water crisis and has the potential to be replicated in other flood-prone areas.

This research aims to examine the potential adaptation of Naval military logistics strategies to optimize humanitarian logistics distribution in remote archipelagic regions. Utilizing a descriptive qualitative method with a Systematic Literature Review (SLR) approach of literature from the 2020-2026 period, this study dissects the concept of Sea-Based Logistics through domain, taxonomic, and componential analyses. The findings indicate that military advantages in floating infrastructure and integrated command chains can effectively bypass distribution barriers in areas lacking port facilities. The study concludes by recommending a military-civilian logistics integration model as a strategic solution for national logistics resilience in coastal areas. The effectiveness of this strategic adaptation relies not only on physical operational aspects but also on the synchronization of budgetary policies and the integration of information technology within the supply chain. From a logistics economics perspective, utilizing naval assets as floating bases mitigates the risk of high costs resulting from post-disaster land infrastructure damage. This synergy necessitates the establishment of collaborative Standard Operating Procedures (SOPs) between military and civilian authorities to create a humanitarian logistics ecosystem that is more resilient, transparent, and capable of responding to crisis dynamics in outlying regions in real-time

The Legal Unit plays a crucial role in ensuring compliance with banking regulations, particularly in managing customer documents related to data protection and legal risk reduction. This study aims to explore the role and performance of the Legal Unit in managing customer files at Bank Sumsel Babel, Kapten A. Rivai Main Branch, and to identify obstacles and possible solutions. The method chosen in this study is qualitative with a descriptive approach. Data were obtained through observation, interviews, and document analysis, which were then analyzed using the interactive model of Miles and Huberman. The research findings indicate that the Legal Unit is responsible for ensuring that document management is carried out regularly, securely, and in accordance with applicable banking regulations. The implementation of Standard Operating Procedures (SOPs), internal supervision, and the use of digital archives contribute to legal compliance and minimize the risk of document loss and information leakage. Problems encountered include limitations in human resources and incompatibility with digital systems. Therefore, improvements in document management technology, training for human resources, and periodic SOP evaluation are needed to improve the effectiveness of the Legal Unit's work and maintain customer trust.

This study examines disaster management strategies in earthquake-prone countries, with a comparative focus on Japan and the Philippines as case studies for lessons applicable to public administration systems worldwide. Using a qualitative comparative analysis approach, the research evaluates institutional frameworks, policy instruments, community engagement mechanisms, and intergovernmental coordination systems deployed in both countries. Japan’s highly centralized yet locally adaptive Disaster Management Basic Act framework is contrasted with the Philippines’ decentralized National Disaster Risk Reduction and Management (NDRRM) system. Findings reveal that effective disaster management hinges on five critical pillars: strong legal frameworks, inter-agency coordination, investment in early warning systems, community resilience programs, and post-disaster recovery governance. The study further identifies that public trust, administrative capacity, and fiscal decentralization significantly influence disaster response outcomes. Lessons drawn from both countries offer practical recommendations for developing nations seeking to strengthen their disaster governance architectures. This research contributes to the growing body of knowledge on comparative public administration and disaster risk reduction, underscoring the imperative of integrated, adaptive, and community-centered governance frameworks in seismically active regions.

This study aims to evaluate the effectiveness of the e-monev application at the Jambi Province Public Works and Public Housing Agency (PUPR) and to identify the constraints encountered in its management. The research used a qualitative descriptive method with data collection through in-depth interviews, observation, and documentation involving seven informants directly engaged in the application's management and operation. The analysis framework adopts the e-government success element theory by Indrajit (2002), comprising three dimensions: Support, Capacity, and Value. The findings reveal that the Support dimension is already strong, marked by leadership commitment, annual socialization and training, clear policy directives, and effective inter-unit coordination. In the Capacity dimension, human resource competence is generally adequate; however, technical constraints such as network instability, system slowdowns during concurrent access, and dependency on external programmers remain significant challenges. The Value dimension confirms that the e-monev application provides positive contributions to reporting efficiency, real-time monitoring, and data-based decision-making. Nevertheless, the overall effectiveness has not yet reached the optimal level due to persistent technical and infrastructure constraints. This study is expected to serve as an empirical basis for improving the quality of digital monitoring and evaluation systems in regional government agencies.

This research critically investigates the circulation of disinformation concerning the instability of fuel prices on the digital platform X and its subsequent implications for the polarization of modern society. In an era where unverified economic news frequently dictates public reaction, fake news often acts as a potent catalyst for mass anxiety. By implementing a quantitative framework driven by lexicon-based computational sentiment analysis, this study effectively processed a dataset of 500 public opinion samples extracted via Google Colab spanning from April 2024 to April 2026. To ensure computational accuracy and eliminate textual noise, the data underwent a rigorous preprocessing phase encompassing case folding, alongside the systematic removal of URLs, account mentions, numbers, hashtags, and punctuation marks. The statistical outcomes revealed a highly disproportionate emotional landscape, overwhelmingly dominated by 451 negative reviews. In stark contrast, neutral observations and positive affirmations were nearly absent, recording only 40 and 9 instances, respectively. The data compellingly illustrates that the relentless influx of pessimistic narratives regarding economic instability directly induces financial panic, undermines rational discourse, and severely fragments cyberspace into deeply polarized factions.

 The quality of digital system services in the ship clearance process is closely related to the work effectiveness of shipping agency companies. The advancement of port operational services is influenced by the system’s ability to provide convenience, speed, accuracy, and service integration for users. The system used in the ship clearance process must be able to meet user needs and support inter-agency coordination so that ship services can operate more effectively and efficiently. This study aims to analyze the performance level and the level of user importance regarding the implementation of the Single Submission Pengangkut System in the ship clearance process at PT Trans Cakrawala Perkasa. The research employed a descriptive quantitative approach with a sample of 30 respondents consisting of ship agents involved in the clearance process. Data were collected through questionnaires, observations, and literature studies. The data were analyzed using validity tests, reliability tests, conformity level analysis, and the Importance Performance Analysis (IPA) method. The results indicate that the SSM Pengangkut System has made a positive contribution to accelerating document processing, facilitating system usage, increasing work productivity, and supporting coordination among related agencies. Based on the IPA Cartesian diagram, one indicator was identified as a priority for improvement, while other indicators were categorized as maintain performance, low priority, and high performance with lower importance levels. Overall, the implementation of the Single Submission Pengangkut System has been running quite well; however, continuous evaluation and improvement are still needed to optimize the ship clearance process further.

This study aims to examine the components of the Christian Religious Education (CRE) curriculum in the family, its design and development, and its concrete implementation. The research employs a qualitative approach with a descriptive design through library research, using data sources such as books, academic journals, and relevant articles. The data were analyzed using descriptive qualitative techniques to produce a systematic and in-depth description. The findings show that the CRE curriculum in the family consists of interconnected components, namely objectives, content, strategies, methods, and evaluation, which must be implemented in an integrated manner. Faith education in the family is carried out through methods such as role modeling, habituation, teaching, discussion, mentoring, and practical application. Effective strategies include parental role modeling, dialogical communication, and love-based discipline. The implementation of the curriculum is realized through concrete activities such as family prayer, family worship, Bible reading, and the application of Christian values in daily life. In conclusion, the success of Christian Religious Education in the family largely depends on the active role and consistency of parents in implementing the curriculum in a holistic and continuous manner. With the right approach, the family can become an effective center of faith education in shaping children who are faithful, character-driven, and prepared to face life’s challenges.

.This study aims to analyse the role of Financial Information Systems (FIS) in supporting risk management, decision-making, and organisational performance in the digital transformation era. This study employs the Systematic Literature Review (SLR) method to examine articles indexed in Scopus from 2016 to 2026. The PRISMA framework is used to ensure a systematic, transparent article selection process, resulting in the selection of 37 relevant articles for further analysis. The results of the study show that Financial Information Systems make a major contribution to improving financial transparency, operational efficiency, the quality of strategic decision-making, and organisational risk mitigation. In addition, the integration of emerging technologies such as Artificial Intelligence (AI), FinTech, big data analytics, and cloud computing further strengthens the effectiveness of financial information systems in modern organisations. This study contributes theoretically by mapping research trends and identifying research gaps, while providing practical benefits for organisations seeking to increase competitiveness through digital financial systems. For future research, it is recommended to develop a more predictive and intelligent Financial Information Systems model to address future business dynamics.

The development of social media has brought significant changes in how individuals perceive themselves, especially among female university students who are in the stage of identity formation. Social media is not only used as a communication tool but also as a space that presents homogeneous beauty standards which can influence self-perception. This study aims to analyze the construction of beauty standards on social media and their impact on female students’ self-perception. The research uses a qualitative approach with a literature review method by analyzing 20  relevant academic articles published between 2020 and 2025. Data analysis was conducted using descriptive qualitative techniques, including data reduction, data presentation, and conclusion drawing. The results show that beauty standards on social media are constructed through repeated visual representations and reinforced by algorithmic systems, creating an idealized image of beauty. This condition encourages female students to engage in social comparison, leading to self-dissatisfaction and decreased self-confidence. However, these effects vary depending on individuals’ ability to filter and interpret information. This study highlights the importance of developing critical awareness in social media use to avoid being influenced by unrealistic beauty standards.

this study aims to evaluate the impact of capacity building for village officials in Anjir Seberang Pasar I Village on the effectiveness of village administrative and financial management following the implementation of Law No. 6 of 2014. The primary focus of the study is to measure changes in the competencies of village officials before and after the implementation of technical guidance, as well as the use of the Village Financial System (Siskeudes) application and Internet Banking Business. The research method used is qualitative with a case study approach, in which data collection was conducted through observation, interviews, and the completion of pre-test and post-test questionnaires by respondents consisting of the Village Secretary, Kaur, and Kasi. The results of the study indicate a significant increase in three key variables: perceived usefulness, perceived ease of use, and attitude toward using. Quantitatively, the average validation score from respondents reached 4.53 (on a 5.0 scale), which falls into the “Agree” category regarding the system’s effectiveness. Based on data analysis, the success rate of capacity building for village officials was recorded at 29.23%, with a final understanding rate reaching 91.33%. These findings indicate that practice-oriented and participatory training is capable of improving the technical skills and accountability of village officials in managing digital-based government administration. The integration of Siskeudes and digital banking has proven to have a positive impact on a safer and more transparent payroll system at the village level.

This study examines the influence of service quality and application quality on user satisfaction with the Sipaduko public service application at the Department of Population and Civil Registration of Jambi City. The research is motivated by the importance of improving the quality of digital-based public services to fulfill community needs effectively and efficiently. Although Sipaduko was developed to simplify online population administration services, several obstacles remain, including limited human resources, application usage difficulties, system disruptions, and lengthy service processes. This study uses a quantitative approach with data collected through questionnaires distributed to Sipaduko users. The data were analyzed using statistical methods to determine the partial and simultaneous effects of service quality and application quality on user satisfaction, as well as to identify the most dominant variable. The results indicate that both service quality and application quality significantly influence user satisfaction, both individually and simultaneously. Among the two variables, application quality shows the strongest influence on user satisfaction in accessing digital public services.

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.

This study aims to analyze the persistence of the middle-income trap in Indonesia through the perspective of Integrated Reality Theory (IRT). Unlike conventional growth approaches that emphasize capital accumulation, IRT integrates five fundamental variables Energy, Information, Entropy, Consciousness, and Evolution into a systemic analytical framework. This research employs a qualitative method with conceptual and comparative analysis approaches. The data used are derived from secondary sources, including the World Bank, Transparency International, and the Asian Productivity Organization. Quantitative data are utilized as empirical illustrations to support the analysis rather than as a basis for causal inference. Indonesia is compared with Vietnam as a country that has demonstrated accelerated productivity growth and more effective economic transformation. The findings indicate that the persistence of the middle-income trap in Indonesia is largely influenced by high systemic entropy, which results in large-scale energy leakage. This condition is further exacerbated by low institutional consciousness and the slow pace of adaptive capacity toward change. These findings imply the need for a shift in policy orientation, from mere economic expansion toward comprehensive structural cleansing and reform.

Unemployment remains a serious challenge in Aceh, with an Open Unemployment Rate (OUR) of 8.24% (2025) in Lhokseumawe City and 6.54% (2025) in Banda Aceh City. This study compares the implementation and effectiveness of unemployment alleviation policies in the two cities using Van Meter and Van Horn's policy implementation framework with four effectiveness indicators: training absorption, job placement rate, corporate compliance, and community participation. A descriptive qualitative method with a literature study approach was employed, utilizing secondary data from journals, theses, and official documents. The findings show that Banda Aceh focuses on competency-based training through the Job Training Center (BLK) with certification and third-party partnerships. Lhokseumawe prioritizes Qanun Number 1 of 2020 on local labor priority (minimum 40%). Based on the indicators, Banda Aceh is more effective (55% of graduates employed) compared to Lhokseumawe, where local labor priority implementation is weak due to the absence of sanctions and non-existent coordination with PT. PAG. The novelty of this study lies in its systematic comparison of two Acehnese cities using a policy implementation model that integrates demographic bonus and local context. Specific recommendations: Banda Aceh needs to expand BLK capacity, extend training duration (9–12 months with internships), and mandate graduate absorption reports. Lhokseumawe needs to revise the qanun by adding administrative sanctions, recruit permanent instructors, establish a tripartite supervisory team, and establish an energy-sector BLK in the Arun area in collaboration with PT PAG.