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In the world of work, communication is at the root of all important aspects inherent in the person of each individual, helping to achieve goals both personally and organizationally. This study was made using literacy study methodology which found that effective communication is associated with increased productivity, better organizational health, and employee satisfaction. Identification of communication styles is also considered to play an important role in building positive interactions with others and play a key role in building personal branding. Good communication can help improve well-being in relationships and play a role in personal and professional growth and success. Case studies also show that clear internal communication positively affects employee performance, while lack of communication can lead to misunderstandings and decrease productivity. In the context of sales, communication in marketing also plays an important role in increasing sales volume by presenting clear and precise information about the product to build consumer trust.

This research aims to analyze the usage of the BRIMEN application and its impact on the ease of performance of Credit Administration Officers (ADK) at the Pasuruan Branch Office of PT Bank Rakyat Indonesia (Persero) Tbk. The research method used is qualitative method with a participatory approach and descriptive research type. Data were obtained through observation, interviews, and direct documentation in the field. The results show that the BRIMEN application facilitates ADK officers in various tasks such as scanning customer documents, uploading files to the system, and archiving physical files. Although still in the refinement stage, BRIMEN provides time efficiency and flexibility for officers, who previously performed processes manually. In conclusion, BRIMEN has provided benefits in improving the work efficiency of Credit Administration Officers (ADK) at the Pasuruan Branch Office. Although further refinement is needed, this application has the potential to be continuously developed to enhance productivity and operational efficiency.

The rapid growth of cross-platform applications has significantly increased the volume and diversity of sensitive user data processed across heterogeneous and distributed environments. Personally identifiable information, device identifiers, behavioral data, and financial information are routinely collected to support personalization, analytics, and service optimization. While these practices enhance application functionality and user experience, they also introduce substantial privacy risks, including unauthorized data access, device fingerprint–based re-identification, cross-user data leakage, and large-scale data breaches. These risks are further amplified by distributed processing architectures and extensive third-party library integrations commonly used in modern cross-platform systems. This study aims to systematically analyze privacy issues in cross-platform applications by examining the types of sensitive data involved, identifying dominant privacy threats, and reviewing state-of-the-art privacy-preserving mitigation strategies. A systematic literature-based methodology was employed, focusing on recent Scopus-indexed journal articles, conference papers, and book chapters. The analysis synthesizes findings using thematic categorization and a conceptual research framework that maps sensitive data sources to privacy threats and corresponding mitigation mechanisms. The results indicate that privacy risks in cross-platform applications originate not only from external attacks but also from internal architectural weaknesses, such as flawed authorization logic and excessive data sharing across system components. Privacy-preserving techniques including differential privacy, federated learning, blockchain-based data governance, secure multi-party computation, and fine-grained access control mechanisms are shown to provide stronger privacy guarantees compared to conventional centralized approaches. However, these techniques also present trade-offs related to system complexity and performance. Overall, the study highlights the importance of adopting a multi-layered, privacy-by-design approach to ensure sustainable, trustworthy, and regulation-compliant cross-platform application development.

The rapid growth of Internet of Things (IoT) and edge computing technologies has introduced new security challenges due to the distributed, heterogeneous, and dynamic nature of these environments. Conventional static security mechanisms, such as rulebased authentication and fixed trust models, are often inadequate for addressing evolving threats and abnormal behaviors in largescale IoT systems. To overcome these limitations, this study proposes a machine learningbased trust evaluation framework for enhancing security in distributed IoT environments. The proposed approach dynamically assesses the trustworthiness of IoT nodes by analyzing behavioral and interactionbased features collected at the edge layer. Machine learning models are trained to classify nodes into trusted and malicious categories and continuously update trust values in response to changing network conditions. Based on the predicted trust levels, adaptive security decisions are enforced to allow or restrict node participation in data sharing and computation processes. A quantitative experimental evaluation is conducted using simulated distributed IoT scenarios that include both normal and malicious behaviors. The performance of the proposed framework is evaluated using standard metrics such as accuracy, precision, recall, F1score, and detection effectiveness, and is compared against conventional static trust and rulebased security mechanisms. The results demonstrate that the proposed machine learningbased trust evaluation approach achieves significantly higher detection accuracy and robustness while maintaining low computational overhead. Overall, the findings confirm that integrating machine learning into trust management provides an effective and scalable solution for securing distributed IoT systems under dynamic and adversarial conditions.

This research explores the potential of local bio-composites made from bamboo and coconut fiber as sustainable building materials in Indonesia. The construction sector in Indonesia faces significant environmental challenges, particularly the high carbon emissions associated with conventional materials like concrete and steel. The primary objective of this research is to evaluate the environmental and economic benefits of substituting these traditional materials with bio-composites, using Life Cycle Assessment (LCA) and energy optimization simulations. The LCA methodology evaluates the environmental impact of bio-composites across their entire life cycle, comparing them with conventional materials in terms of carbon emissions, energy consumption, and waste. Energy optimization simulations focus on assessing the thermal performance and overall building efficiency when using bio-composites in construction. The main findings suggest that bio-composites exhibit a significantly lower carbon footprint and better thermal insulation properties than concrete and steel, contributing to reduced energy consumption in buildings. Additionally, the use of locally sourced materials like bamboo and coconut fiber offers economic advantages, such as lower transportation costs and support for local economies. The research concludes that bio-composites can serve as viable alternatives to traditional materials, providing both environmental and economic benefits. For successful adoption, the research recommends policy support, technological advancements, and educational initiatives to promote the use of bio-composites in Indonesia’s construction industry.

The increasing complexity and heterogeneity of data in Smart Information Systems pose significant challenges for effective decision-making. While data fusion techniques have been widely adopted to integrate multiple data sources, traditional fusion approaches often fail to consider contextual information, resulting in limited interpretability and reduced decision relevance. This study proposes a contextual data fusion approach that integrates heterogeneous data sources with contextual attributes, including temporal, spatial, and operational context, to enhance decision accuracy and robustness. The research employs a computational and experimental methodology involving data preprocessing, context encoding, multi-level data fusion, and performance evaluation. Experimental results demonstrate that the proposed approach outperforms single-source analysis and non-contextual data fusion in terms of accuracy, precision, recall, and F1-score, with only a marginal increase in computational cost. The findings confirm that incorporating context into the data fusion process significantly improves the quality and reliability of analytical outcomes. This study contributes to the development of intelligent and data-driven systems by highlighting the critical role of contextual awareness in supporting transparent and effective decision-making in Smart Information Systems.

Artificial Intelligence (AI)-based Decision Support Systems (DSS) have become a central component of digital transformation initiatives across various industries. While prior studies have primarily emphasized technical aspects such as accuracy, performance, and computational efficiency, less attention has been given to the integration of human-centered principles and scalable architectural design. This study aims to examine how AI-based DSS can be enhanced through the combined application of Human-Centered Artificial Intelligence (HCAI) principles and scalable AI architecture. Using a qualitative, literature-based research methodology, this study systematically analyzes peer-reviewed publications indexed in Scopus to identify key dimensions influencing the effectiveness and sustainability of AI-driven DSS. The findings indicate that technical capabilities alone are insufficient to ensure successful adoption and long term impact. Instead, transparency, explainability, ethical governance, and user empowerment core elements of HCAI are critical for fostering trust and user acceptance. Furthermore, scalable architectural principles, including modularity, interoperability, and adaptability, are essential for enabling AI-based DSS to operate reliably in large-scale and dynamic environments. This study contributes a unified conceptual framework that bridges technical scalability and human-centered design, offering theoretical insights and practical guidance for developing trustworthy, scalable, and sustainable AI-based Decision Support Systems in digital transformation contexts.

SDI Umamapu currently uses a Telkom Internet Service Provider (ISP) internet connection with a bandwidth capacity of 50 Mbps, which is only used in the principal's office and laboratory and does not cover other SDI Umamapu educational areas and limits SDI Umamapu teachers and staff from carrying out related tasks. with the Internet network. Therefore, the aim of this research is to design an Internet network using Mikrotik to help teachers and staff work more efficiently and expand the coverage area of ​​the SDI Umamapu Internet network. Apart from that, the SDI Umamapu Online Computer-Based National Examination (UNBK) is facilitated by 30 computers/laptops connected to the Internet network and other clients. In conducting research, the author uses the Network Development Life Cycle (NDLC) methodology: analysis, design, simulation, implementation, management and monitoring to build an Internet network to solve research problems. Through this research the author can learn a little more about the concept of a hotspot network and its configuration which can provide the author with knowledge about the advantages and disadvantages of Mikrotik RouterOS as a hotspot server. When measured from the results of QoS (Quality of Service) analysis before implementation, the throughput was 36.238 kbit/s (Kbps), packet loss was 1.3%, average delay was 0.389072 seconds, and throughput was 1.5% after implementation. 161.657 kbit/s (kilobits per second), average latency 0.5157133 seconds, packet loss 36%. This means that the speed of Internet access at SDI Umamapu has decreased by up to 36% due to the increase in the area of ​​the Internet network. However, even though network performance has decreased, the newly created Internet network continues to function well and smoothly.  

This study explores the relationship between teachers' digital pedagogical competency and student learning outcomes in both rural and urban schools. A descriptive survey design, utilizing correlational and regression analyses, was employed to examine this relationship. Data were collected from teachers using a structured questionnaire assessing their digital competence, while student learning outcomes were measured through academic performance records. The results revealed significant differences between urban and rural schools in terms of teachers’ digital competence, with urban teachers demonstrating higher levels of digital skills. A positive correlation was found between teachers' digital competence and student learning outcomes, particularly in urban schools, where digital tools were more readily available. The regression analysis further confirmed that digital competence was a significant predictor of student achievement, with urban schools outperforming rural ones even after controlling for teacher experience. The study suggests that infrastructure availability, teacher training, and institutional support play crucial roles in enhancing digital competence, particularly in rural schools, where such resources are often limited. These findings underscore the need for policy reforms that ensure equitable access to digital tools and professional development opportunities for teachers across both rural and urban settings. Recommendations include targeted interventions for rural schools to bridge the digital divide and improve student learning outcomes through enhanced teacher digital competencies.

The work POLA-POLA was inspired by the online game Higgs Domino where the creator was interested in the algorithmic patterns of the game. This game is not only played by teenagers but is also played by children and even the elderly. This game has its own uniqueness, namely that there are boxes where the spin moves from top to bottom so that wins and losses appear in the box. The artist interpreted these boxes in the work POLA-POLA by using six cubes of different sizes and each side has a different color, consisting of red, yellow, green and white. In creating the dance work entitled POLA-OLA, the methods of observation, exploration, improvisation and formation were used. Supporting the work consists of six dancers, namely three male dancers and three female dancers. The POLA-POLA dance work was performed at the Hoerijah Adam Performance Building, Padangpanjang Indonesian Arts Institute. This dance work is presented in the form of a contemporary dance work.

The study conducted at the National Potential Young Athletes Training Center (SLOMPN) of Unesa provides a crucial perspective on the use of an Android-based match statistics application. The research aims to optimize athletes' potential through the Long Term Athlete Development (LTAD) approach, integrating knowledge of athlete development with the application of technology in training. The survey results from 5 coaches indicate that the application aids in planning training, understanding application features, and assessing athlete development with positively skewed average scores. However, there is room for improvement, especially in terms of comfort during matches and communication with athletes. Meanwhile, 18 athletes showed positive acceptance of the application by rating its ease of use and impact on performance enhancement highly. Nevertheless, there is a need for improvement in injury recovery features and data security. This study underscores the importance of continuous collaboration between application developers and users to enhance the effectiveness of technology in sports training.

Bullying is a term for acts of violence or bullying committed by stronger parties both in terms of age, strength, power to the weak. Forms of bullying behavior are physical bullying, verbal bullying and mental / psychological bullying that can have a negative impact on the victim, such as bruises, wounds, pain, timidity, etc. and for the long term namely disruption of psychological conditions and poor social adjustment. The role of educational psychologyCounselors have an important role in preventing and overcoming bullying in schools, for that efficient and comprehensive services are needed to all students by using various skills and media that can help the performance of educational psychology in dealing with bullying.

Measuring the company level of productivity performance is a very important thing to do to see and evaluate achievements and improvements to productivity levels that are not yet optimal. This case study was taken from the leather bag UKM which is currently experiencing a decline in productivity during the 2020 period. With the increase in working hours, the company must increase workers' overtime costs. In this research, the method used to measure the level of company productivity is the objective matrix or OMAX method and this research refers to the OMAX steps, namely determining productivity criteria on the production line, determining weights, determining levels on the objective matrix, calculating the productivity index, and productivity analysis with a traffic light system. The research results show that the average value of overall productivity in 2020 is 4,388 The highest productivity index was achieved in August amounting to 67,01%. From the traffic light system, it is known that the worst indicator of productivity is the defect factor, so improvements need to be made regarding this.

This journal examines the Piriang Talam Bantiang dance attraction at Sanggar Talang Sarumpun as a form of performing art in the city of Payakumbuh. The method used is a descriptive-analytical qualitative research method, which involves presenting data obtained in the field and then analyzing it according to the research needs. This study employs the theory and opinions of Y. Sumadiyo Hadi regarding form to strengthen the writing. Additionally, it uses supporting theories from Dedi Supriadi on creativity. The results obtained from this research show that the Piriang Talam Bandantiang dance attraction is a form of performance that can attract the attention of the community to watch and enjoy, while simultaneously introducing Piriang Talam Bandantiang dance as a performing art in the region.

This research aims to explore public responses regarding the existence of mental health applications. This research was conducted using descriptive qualitative phenomenological methods. This research uses a phenomenological approach with data collection techniques using focus group discussions and interviews. The object of this research was students aged 16-22 years and who had experience with mental health. The data obtained came from 8 people in FGDs and 16 people in interviews with a trial period of 3-4 weeks. The results of the research show that the user interface has an effect on the user's perspective, application performance has an effect on the intention to use it continuously, emotional release has an effect on changes in individual behavior.

The canned food industry is experiencing growth in this modern era. Canned food has become a popular choice due to its convenience in storage and preparation. Canned food manufacturers continue to develop new products and improve the quality of existing products to meet the increasingly diverse consumer demand. Challenges in improving company performance require companies in the canned food industry to constantly enhance the performance of their supply chains to remain competitive in the global market. This research aims to measure the performance of the canned food industry supply chain by implementing SCOR and integrating it with AHP. Based on the performance measurement results, PT XZY, a canned food company, has a SCOR score of 76.58, indicating that the company's performance is considered good. The lowest KPIs are Delivery performance and Return performance.

This study investigates the performance and sustainability of a hybrid solar-biomass drying system for agricultural products, focusing on its efficiency, environmental impact, and economic feasibility. The hybrid system combines solar energy and biomass combustion to create a continuous and reliable drying process. The key findings reveal that the hybrid system achieves over a 20% improvement in drying efficiency compared to solar-only and biomass-only dryers. This efficiency gain is attributed to the synergistic use of solar energy during the day and biomass energy during periods of low sunlight or at night, ensuring consistent drying conditions and reduced drying time. Additionally, the hybrid system significantly reduces CO₂ emissions, contributing to a more sustainable approach to agricultural processing. The environmental benefits of using renewable energy sources, as opposed to fossil fuels, align with the growing need for energy-efficient and eco-friendly agricultural technologies. Economic analysis suggests that the hybrid system is a cost-effective solution for small- to medium-scale farmers, particularly in rural areas where access to grid electricity is limited. The use of locally available biomass fuels further enhances the system’s sustainability and affordability. This study also discusses the practicality of implementing hybrid dryers in rural farming communities, emphasizing their potential to improve drying efficiency, reduce environmental impacts, and boost economic opportunities for farmers. Future research should focus on optimizing system integration, expanding biomass fuel options, and exploring automation to enhance the performance and scalability of hybrid drying systems.

This study investigates the contribution of Islamic banks in supporting green economy initiatives and promoting sustainable financial growth. Employing a quantitative research design, the study utilizes secondary data collected from annual reports, sustainability disclosures, and carbon emission reports of Islamic banks for the period 2018–2024. The research aims to examine the relationship between green financing portfolios and key financial performance indicators Return on Assets (ROA), Return on Equity (ROE), and Capital Adequacy Ratio (CAR) while evaluating the environmental impact through carbon emission reduction. Descriptive statistics provide an overview of green financing activities and financial ratios, while multiple regression analysis assesses the effect of green financing on sustainable financial performance, controlling for bank size, Gross Domestic Product (GDP) growth, and inflation. An independent sample t-test compares Islamic and conventional banks in terms of ethical compliance, environmental contribution, and profitability. The findings reveal that Islamic banks allocate a higher proportion of financing to green projects, achieving significant carbon emission reductions without compromising financial performance. The green financing portfolio exhibits a positive and significant effect on sustainable financial growth, and larger banks demonstrate a greater capacity to implement sustainability initiatives. The comparative analysis confirms that Islamic banks outperform conventional counterparts in environmental and ethical dimensions while maintaining comparable profitability. These results underscore the potential of Sharia-compliant banking to integrate ethical, environmental, and economic objectives, positioning Islamic financial institutions as key actors in advancing a sustainable, low-carbon financial system.

This study investigates sustainable Islamic business models through a qualitative case study of green-tech startups in Central Java, Indonesia. Using semi-structured interviews with founders, managers, and employees, complemented by secondary data from business reports and sustainability disclosures, the research examines how Islamic ethical principles, including stewardship (khalifah), social welfare (maslahah), and justice (adl), are integrated into operational practices and sustainability strategies. The purposive selection of 3–5 startups enables an in-depth exploration of organizational decision-making, innovation adoption, and environmental and social performance. Thematic analysis identifies recurring patterns in ethical integration, technological innovation, and sustainability outcomes. Findings reveal that Islamic startups effectively embed ethical values into operations, fostering environmental accountability through renewable energy initiatives, waste reduction, and resource optimization, while enhancing community engagement and equitable service delivery. Technological innovations such as IoT, AI, and blockchain further support sustainability performance, enabling startups to monitor and optimize environmental outcomes without compromising financial viability. Comparative analysis demonstrates that Islamic startups outperform non-Islamic counterparts in key sustainability metrics, including carbon reduction and social impact, highlighting the competitive advantage of ethics-driven entrepreneurship. Overall, the study confirms that Islamic ethical frameworks foster both environmental accountability and technological innovation, providing a practical model for sustainable development in emerging economies. These findings offer valuable insights for policymakers, investors, and entrepreneurs seeking to align ethical, social, and environmental objectives with business strategy.

This study examines the application of sharia economic principles in the photocopying and office stationery (ATK) business in the pesantren environment, focusing on business performance that is not only financially profitable but also has a positive impact on society and the environment. Using a qualitative approach, this study analyzes current business practices as well as strategies that can be applied to integrate sharia values, such as the prohibition of riba, gharar, and maysir. The findings of the study show that the application of sharia economics can improve business performance through capacity building, cooperation with Islamic financial institutions, and technology adoption.