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The purpose of this research is to examine and ascertain how capital structure and growth affect company value in FBM KLCI businesses listed on Bursa Malaysia between 2019 and 2023, dividend policy being used as a moderating factor.  The study's sample consists of 16 FBM KLCI firms that were listed on Bursa Malaysia between 2019 and 2023.  The secondary data utilized was gathered from Bursa Malaysia's website and financial statement documentation studies.  Descriptive analysis, panel data regression analysis, MRA, traditional assumption testing, and hypothesis testing are among the data analysis methods used.  Eviews Version 13 was used to process the data for this investigation.  According to the study's findings, for the 2019–2023 timeframe, capital structure significantly and favorably affects company value in FBM KLCI businesses listed on Bursa Malaysia.  In these businesses, growth has no bearing on firm value.  In FBM KLCI businesses listed on Bursa Malaysia for the 2019–2023 timeframe, both the correlation between capital structure and company value and the effect of growth on firm value are unaffected by dividend policy.

The climate crisis is no longer just a concern for environmental activists, but has evolved into a strategic threat affecting global stability. The climate crisis is now worsening into a serious threat to the sustainability of human life and the existing ecosystems on Earth. In his book, "The Uninhabitable Earth," Arne Naess provides deep insights thru the Deep Ecology approach, which emphasizes the intrinsic value of all forms of life. This study explores the relationship between the environment and cosmology and its impact on human policies and behavior toward nature. By analyzing the interaction between humans and the environment, we show that a paradigm shift toward a holistic understanding can offer sustainable solutions to this climate crisis. The impact of the climate crisis is highly complex and widespread, leading to unstable weather patterns. These unstable weather patterns threaten agriculture, food security, and also result in more frequent and severe natural disasters. We need to explore the root causes of the current climate crisis, the impacts that have already occurred and may come, and the efforts that can be made by individuals, communities, and the international community to address such challenges. This research strongly highlights the importance of collective consciousness and moral responsibility in protecting the planet, while also inviting readers to reflect on their position within the broader web of life. Thru this approach, it is hoped that synergy between human development and environmental sustainability can be achieved.

Kadi Pada Village is one of the villages that still manages population data manually, which often causes difficulties in recording, searching, and reporting population data. The manual process is also prone to input errors, data duplication, and lost documents. Therefore, a web-based information system is needed that can help village officials manage population data more effectively and efficiently. This study aims to design and build a web-based population data processing system that can be used by village officials to record, update, and present population data digitally. The methodology used in developing this system is the waterfall method, which includes the stages of needs analysis, system design, implementation, and testing. The technologies used include HTML, CSS, PHP, and MySQL as databases. The result of this design is an information system that has main features such as population data management, family data management (Family Card), recording population mutations (birth, moving, death), and making reports in digital format. With this system, it is hoped that the population administration process in Kadi Village will be faster, more accurate, and more organized.

The development of digital technology has brought about major changes in the spread of da'wah and the implementation of Islamic counseling. Da'wah that used to focus on face-to-face is now transformed through social media and digital platforms, so that religious messages can reach a wider audience without time and space limitations. Digital media presents opportunities for da'i to convey da'wah with varied and interesting content, especially for the younger generation. However, challenges remain, such as the lack of direct emotional interaction and the difficulty of monitoring potentially deviant content. Meanwhile, Islamic counseling in the digital era is developing through online services, either through websites, telephones, chats, and video conferences. These services facilitate access to counselling, reduce distance barriers and social stigma, and provide flexible counseling alternatives. However, online counseling also has weaknesses, such as limitations in reading body language, network technical constraints, and counselors' skills that are not optimal in utilizing technology. Thus, Islamic da'wah and counseling in the digital era require the readiness of human resources, mastery of technology, and the application of good ethics in order to run effectively, professionally, and provide wide benefits to society.

This research, entitled “Implementation of a Web-Based Student Tuition Payment Information System at SMA Swasta Manda Elu,” aims to improve the efficiency of recording and managing students’ tuition fee payments. Previously, the tuition payment process was handled manually, which often led to recording errors, delays in reporting, and difficulties in retrieving student payment data. To address these issues, a web-based information system was developed to assist the school administration in recording, reporting, and monitoring tuition payments more effectively and efficiently. The development method used in this study is the Model View Controller (MVC) approach, which separates the system’s view, logic, and database layers to simplify system management and maintenance. The final result of this research is a web-based tuition payment application that runs properly, provides convenience for school administrative staff in recording transactions, and enhances the accuracy and speed of the school’s financial administration process at SMA Swasta Manda Elu.

The development of digital technology has transformed how institutions communicate with the public, including the Maritime and Logistics Education Corporation of Indonesia (PT PMLI). This study is motivated by the strategic role of Cyber Public Relations in building institutional image in the digital era. The research focuses on how PT PMLI implements Cyber PR strategies to establish its institutional image. The objective is to identify the strategies applied and how the image is built in digital spaces. This study employs Ronald D. Smith’s Cyber PR Strategy Theory and Veljkovic’s Institutional Image Theory, using a qualitative descriptive method through in-depth interviews with five internal and external informants. The findings show that PT PMLI conducts situation analysis and audits using a SWOT approach, with strengths in digital integration and proactive approaches, and weaknesses in limited human resources and state-owned enterprise regulations. Opportunities come from digital innovation and external collaboration, while threats include the spread of hoaxes and sensitive data exposure. The strategic objectives focus on increasing audience engagement through interactive and educational content, as well as maintaining online reputation through consistent and responsive communication. PT PMLI utilizes its website and social media platforms Instagram, TikTok, and YouTube and develops trend-based content evaluated through media plans and engagement indicators.

This study aims to formulate an integrative conceptual framework regarding the role of research methods in the formation of evidence-based village policy (EBP). The main focus is how qualitative, quantitative, and mixed methods research can be used to produce more inclusive, transparent, and accountable policies in the context of village development in Indonesia. This study uses a Systematic Literature Review (SLR) approach to scientific publications indexed by Scopus, Web of Science, and SINTA for the period 2015–2025. The literature synthesis shows that research methods play a crucial role in identifying village community needs, improving data quality, and strengthening accountability in the policy formulation process. The EBP approach has been shown to encourage citizen participation, increase transparency in village fund allocation, and minimize the dominance of short-term political interests. However, its implementation faces challenges such as limited capacity of village officials, inadequate data infrastructure, and low policy literacy at the local level. These findings are relevant for strengthening village capacity in managing development funds, developing policies based on the real needs of residents, and promoting social accountability. This article makes a new contribution to the local public policy literature by emphasizing the importance of research as an instrument for strengthening village governance.

The Watu Kawula Health Center is one of the first level health service facilities that has an important role in providing health services to the community. However, in the implementation of administration, various obstacles are still found such as manual patient data recording, slow service data collection process, and difficulties in reporting and searching data. To overcome these problems, a computerized administrative information system is needed to improve efficiency and accuracy in data management.This research aims to design and build an integrated administrative information system at the Watu Kawula Health Center. The system development method used is the Waterfall model, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. The system is designed using the MySQL database and PHP programming language, and is accessed through a web-based interface.The results of the development of the system show that this administrative information system is able to speed up the process of recording patient data, medical services, and making routine reports. In addition, the system also makes it easier for administrative officers to manage information in a structured and systematic manner. With this system, it is hoped that administrative services at the Watu Kawula Health Center can run more effectively and efficiently.

This study addresses the inefficiencies in the manual student payment administration system currently used at SMK Bina Insan Nusantara, which relies on handwritten ledgers and Microsoft Excel spreadsheets, leading to frequent data errors, delayed reporting, and difficulties in retrieving payment records. The research aims to design a web-based information system to streamline the recording, monitoring, and reporting of student payments. A descriptive research approach was employed, with data collected through direct observation, semi-structured interviews with administrative staff, and literature review. System analysis was conducted using the PIECES framework, and system design followed the Unified Modeling Language (UML) methodology. The proposed system features user authentication, student data management, real-time payment input, digital receipt generation, and automated reporting (daily, monthly, and yearly). Black-box testing confirmed that the system functions as intended, validating inputs, processing transactions accurately, and generating reliable outputs. Findings indicate that the web-based system significantly improves data accuracy, operational efficiency, accessibility, and service quality compared to the existing manual process. The implementation of this system enables school administrators to manage payments more effectively, provides students and parents with timely access to payment information, and supports faster, data-driven decision-making by school leadership and the foundation. Future enhancements could include mobile integration and online payment gateways.

PT Care Spunbond faces significant challenges in managing production status reports due to its reliance on a manual, paper-based recording system. This results in non-real-time data input, slow data processing, and a high risk of data loss or corruption. To address these issues, this study aims to design a user-friendly, web-based dashboard for monitoring and reporting production status. This system is designed to enable fast data input, provide easy access for the Quality department, and provide secure and integrated data storage. The research method used is a descriptive approach with data collection techniques through observation, interviews, and literature studies. After that, a system analysis was conducted using the PIECES framework to identify existing problems, followed by the design of a UML (Unified Modeling Language)-based system. The results show that the proposed system can improve data processing efficiency, improve report accuracy, and ensure better production data security. With the implementation of this system, the company is expected to accelerate data-driven decision-making, increase transparency, and support efforts to continuously improve product quality.

In the digital era, business entities increasingly rely on computerized systems to manage financial activities efficiently. This study aims to design and develop a web-based financial reporting application for UD Jaya Abadi, a trading company located in Magetan Regency. The development process utilized the Rapid Application Development (RAD) methodology to ensure user involvement and rapid prototyping. Data were collected through observation and interviews with the business owner to identify problems in manual bookkeeping and report preparation. The resulting application automates financial processes including sales, purchases, journal entries, and financial reporting in accordance with SAK ETAP standards. System modules include master data management, transaction recording, and financial reporting such as income statements, balance sheets, and cash flow reports. Testing using the black box method confirmed that all system functions operated correctly. This web-based system enhances data accuracy, minimizes human error, and provides real-time access to financial information, significantly improving the efficiency of financial management at UD Jaya Abadi.

This study aims to analyse the design and optimization of digital marketing to increase the brand awareness of the IdRink MSME through the integration of a website and Instagram. The research employed a Research and Development (R&D) method using the Four-D model (Define, Design, Develop, Disseminate), combined with prototyping techniques and evaluation through blackbox testing. Data were collected through interviews, literature review, observation, Google Analytics, Instagram Insight, and A/B testing questionnaires administered to 100 respondents. The results show that the development of a WordPress-based website and a structured Instagram content plan significantly improved IdRink’s digital performance. Within one month, the audience growth rate increased by 256%, average post reach reached 216%, and website traffic recorded 298 users. Brand awareness measurement indicated brand recognition of 74% and brand recall of 79%, higher than the comparison brand in the local beverage category. These findings indicate that integrating a website and Instagram as a digital marketing strategy is effective in moving IdRink from the unaware-of-brand stage to recognition and recall, expanding market reach, strengthening customer engagement, and building a more professional brand image among young urban consumers. The study recommends maintaining content consistency and utilising digital analytics to support future marketing decision-making.

The use of information technology has become a non-negotiable necessity, as the availability of integrated information is increasingly crucial in supporting efforts to create efficient and competitive company/organizational systems. Good academic information system management is essential for providing services to those in need and resulting in improved performance in education delivery. Accuracy and precision in presenting information are important factors in managing information. From the results of the t-test calculation calculated using SPSS 20 partially, it was found that the t-value for the effectiveness variable was 3.819 and the convenience variable was 1.745 and the quality variable was 1.933 when compared with the t-table of 1.663, it was concluded that Ho was rejected and H1 was accepted, thus partially the independent variable influenced the dependent variable, namely student satisfaction. From the results of the F-test calculation, it was found that the F-count was 9.628> from the F-table, which was 2.48, and the significance level was 0.00, which was smaller than 0.05, and this meant that overall the independent variables had an effect on the dependent variable. From the results of the R test, it was found that the determinant coefficient was 0.599 and R2 was 0.359, this meant that the influence of the independent variables on the dependent variable was 35.9% and the remaining 64.1% was influenced by other variables that had not been studied.

This study aims to analyze the effect of Non-Performing Loans (NPLs) and the Loan-to-Deposit Ratio (LDR) on bank financial performance, as measured by Return on Assets (ROA), with Net Interest Margin (NIM) as an intervening variable in banking companies listed on the Indonesia Stock Exchange during the 2021-2023 period. The research method used is quantitative research with a causal-comparative approach. The data used in this study is secondary data sourced from the financial reports of banking companies accessible through the official IDX website. The population in this study is banking sector companies listed on the Indonesia Stock Exchange, with a sample of 35 companies selected using a purposive sampling method based on certain criteria. The independent variables in this study are Non-Performing Loans (X1) and Loan to Deposit Ratio (X2), while the dependent variable is Return on Assets (Y) and the intervening variable is Net Interest Margin (Z). Data analysis techniques in this study use panel data regression, classical assumption tests, t-tests, coefficients of determination, and Sobel tests. The results of this study indicate that NPL has no effect on NIM, while LDR has an effect on NIM, NPL has an effect on ROA, LDR has no effect on ROA, NIM has an effect on ROA, NIM does not mediate the relationship between NPL and ROA, and NIM mediates the relationship between LDR and ROA.

This study aims to analyze the synergy between the Cambridge Curriculum and Islamic Education in fostering students’ character who are faithful, knowledgeable, and globally competitive. The research employed a Systematic Literature Review (SLR) approach, following the PRISMA protocol to trace, screen, and synthesize relevant literature from reputable databases (Scopus, Web of Science, and Google Scholar) within the 2015–2025 timeframe. Out of 142 identified articles, 38 met the thematic and methodological eligibility criteria. The findings indicate that the integration of the Cambridge Curriculum and Islamic Education creates a hybrid educational model that balances global academic achievement with spiritual and moral development. The Cambridge Curriculum provides a framework for 21st-century competencies, while Islamic Education embeds values, manners, and moral accountability. This synergy requires a paradigm shift among teachers, pedagogical innovation, and curriculum policies centered on character formation. The study concludes that character development based on the integration of global curriculum and Islamic values is a strategic pathway to cultivating an excellent and adaptive Muslim generation ready to face global challenges.

This study aims to develop a web-based Virtual Assistant to improve the efficiency of academic information services at SMA Negeri 1 Parittiga. The research was motivated by the delays and inaccuracies in information delivery caused by the manual system still used in the school. The system development was carried out using the Research and Development approach with the Waterfall model, which includes the stages of needs analysis, design, implementation, and evaluation. The main technologies used are Natural Language Processing (NLP) and the Long Short-Term Memory (LSTM) machine learning algorithm, which allow the assistant to understand and respond to user questions in natural language in a contextual way. The system architecture uses Flask as the backend, Vue.js as the frontend, and Laravel for administrative data management. The testing results show that the system has an accuracy level of 88.4% in providing correct answers and a user satisfaction level of 92%, surpassing the target success rate of 80%. These findings prove that integrating NLP and LSTM can enhance the system's ability to understand conversational context and speed up the distribution of academic information. The study concludes that a web-based Virtual Assistant is an effective solution for the digitalization of school information services and has the potential to support the implementation of artificial intelligence technology in secondary education in Indonesia.

This study investigates the structural relationships among Product Quality (PQ), Brand Image (BI), Word of Mouth (WOM), and Repurchase Intention (RI) to empirically understand the sequential mechanisms driving consumer loyalty in a highly competitive market. Grounded conceptually in the Stimulus-Organism-Response (S-O-R) paradigm, the research posits that PQ acts as an external antecedent influencing RI through the mediating cognitive and behavioural constructs of BI and WOM. Data were collected from a sample of 187 Weber product consumers in Surabaya and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The empirical results confirm all hypothesized direct and indirect relationships. Specifically, PQ significantly and positively influences both BI (β=0.337, p<0.000) and WOM (β=0.351, p<0.000). Furthermore, both BI and WOM significantly predict RI, with WOM (β=0.498, p<0.000) demonstrating a markedly stronger effect compared to BI (β=0.414, p<0.000). The model successfully explains a moderate 57% of the variance in Repurchase Intention. These findings underscore the strategic imperative for management to prioritize superior product quality, which organically fosters a positive brand perception and stimulates potent word-of-mouth promotion identified as the most critical driver of repeated purchases. Future research is encouraged to integrate additional affective factors, such as customer satisfaction or perceived price fairness, to enhance the explanatory power of the consumer loyalty model.

This study presents the integration of a Large Language Model (LLM) Ollama with the OpenStreetMap (OSM) API within a Business Intelligence (BI) framework to develop an intelligent, location-based recommendation system. The system is designed to assist users in finding dining, leisure, and resting places through natural language interaction and contextual understanding. The LLM interprets user input semantically, transforms it into structured spatial queries, and retrieves relevant geospatial data from OSM. The data are then analyzed, categorized, and visualized using BI methods to enhance interpretability and decision-making. The system was implemented using Next.js, Leaflet.js, ensuring interactivity and scalability for web-based deployment. Technical evaluation focused on system accuracy, response time, and output consistency. Results demonstrate an average response time of 1.74 seconds, 80% accuracy, and 80% consistency, proving the model’s efficiency in producing relevant, context-aware recommendations. This integration highlights the potential of combining open geospatial data, local LLMs, and BI analytics to create intelligent, data-driven decision support systems applicable to tourism, urban planning, and spatial information management.

The development of generative artificial intelligence has opened opportunities for strengthening Islamic legal learning through a digital forum that remains connected to authoritative textual references. This study aims to design and build a web-based bahtsul masail discussion system using a multi-agent AI architecture and the Retrieval-Augmented Generation (RAG) method. The proposed system simulates the deliberative roles commonly found in pesantren-based Islamic legal discussion, namely Moderator, Mubahits, Mu'aridh, and Mushahih. The research applies a Research and Development approach with the Waterfall model, covering requirement analysis, interface design, multi-agent workflow design, implementation, functional testing, and evaluation. RAG is implemented by allowing users to upload PDF documents of kitab kuning and assign the documents to particular agent roles. The uploaded texts are then used as contextual grounding so that each agent can formulate arguments, rebuttals, and final decisions based on traceable references rather than unsupported model memory. The application is implemented using HTML, CSS, and JavaScript on the front end, while the AI reasoning process is orchestrated through an API-based large language model. Functional testing shows that the system can complete five sequential stages of bahtsul masail, display role-based responses, manage uploaded references, and present discussion history. The main contribution of this study is a system design that combines pesantren deliberation procedures with AI-based retrieval support to provide an interactive learning medium for Islamic law, while emphasizing that the final authority of legal validation remains with qualified scholars

Unmonitored traffic conditions often hinder decision-making processes in traffic management, particularly on secondary roads. Jalan Raden Inten II in East Jakarta is one of the connecting routes with heavy traffic activity at certain times, yet no integrated data-based monitoring system is currently available. This study proposes an Internet of Things (IoT)-based traffic condition classification system to identify Clear, Normal, or Congested states based on vehicle counts and speed categorization. The system is designed using an ESP32 microcontroller, an HB100 sensor to detect vehicle speed, and two AJ-SR04M ultrasonic sensors to detect vehicle presence. Data on vehicle counts and the percentage of slow-moving vehicles are periodically transmitted to the ThingSpeak platform and processed using the Threshold-Based Classification method. The classification results are visualized on a dashboard-based website equipped with charts, traffic condition status, and notifications when consecutive congestion is detected. Testing was conducted using simulation data over a specific period. Qualitative validation was carried out by comparing the classification results with traffic indicators from Google Maps. The results show that the system can classify traffic conditions with a good degree of agreement with external references, although discrepancies occurred at certain times due to the limitations of simulated data. This research demonstrates that a simple IoT approach can provide an affordable and effective solution for monitoring and classifying traffic conditions, with potential for real-world implementation in future studies.