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    727 research outputs found

    Enhancing Data Visualization Competencies Through Power BI Training

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    Vocational High School (SMK) aims to prepare students with the skills and knowledge required to meet industry demands. Recognizing the importance of data analysis and visualization in the workforce, this community service focuses on enhancing these competencies among SMKN 04 Kota Bengkulu students, particularly those in the Software Engineering program. A community service program was conducted to train students in utilizing Power BI for real-time and interactive data visualization. The training program included preparatory surveys, module development, and practical workshops. Students actively participated, demonstrating a greater interest and understanding of data visualization concepts. Evaluation results showed that 89% of participants found the training beneficial, and 84% mastered Power BI’s visualization techniques. The outcomes highlight the program\u27s effectiveness in equipping students with industry-relevant skills, emphasizing the need for similar initiatives targeting broader student groups. This project bridges the gap between vocational education and the digital economy\u27s demands

    Towards a Connected Society: Implementation of the 5G Network and its Impact on Social and Economic Interaction in Panimbang District

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    In the era of digital transformation that continues to develop, the implementation of the 5G network is the main pillar for increasing connectivity and accelerating economic growth. Panimbang District, as an integral part of the dynamics of globalization, is positioned to experience a substantial impact from these technological advances. This article reviews in detail the key characteristics of 5G networks, such as high speed, low latency, and large capacity, and investigates their impact on social interactions and the economy in Panimbang District. Apart from that, it also discusses practical steps in implementation, including infrastructure planning, frequency spectrum allocation, and innovative technologies such as beamforming. By bringing Panimbang District into an era of high-level connectivity, it is hoped that there will be a deep transformation in the way people interact and manage the local economy

    Utilizing Augmented Reality Media to Enhance Students’ Motivation and Spatial Thinking in 3D Geometry Learning

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    This study explores the effectiveness of Augmented Reality (AR) learning media to improve students\u27 spatial ability and learning motivation in spatial building material. In the era of digital transformation of education, AR offers interactive 3D visualization that is crucial for understanding abstract concepts and manipulating objects virtually. This quasi-experimental study used a pretest-posttest control group design on 60 junior high school students, with spatial ability test instruments and ARCS motivation questionnaires. The results showed a significant increase in the spatial ability of the experimental group (AR) with an average difference of +27.07 points and Cohen\u27s d 1.82 (very large effect), far exceeding the control group (+15.06 points). All dimensions of student learning motivation also increased significantly in the AR group, with a total average of 84.67 and Cohen\u27s d 1.45 (large effect), overcoming the boredom of conventional learning. This increase was due to the interactivity, visual aesthetics, and immersive experience of AR that supports embodied cognition. It was concluded that AR media is very effective in improving students\u27 spatial competence and active engagement, making it a meaningful innovative learning tool

    Design and Implementation of a Website-Based Sales Information System Using the Laravel Framework: A Case Study of Grosir Uncu Aris

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    The rapid advancement of information technology has significantly influenced business operations, particularly in data processing, sales transactions, and management reporting. However, many small and medium-sized enterprises (SMEs) in Indonesia, including Grosir Uncu Aris, still rely on manual systems that are prone to data redundancy, human error, and inefficiency in generating accurate sales reports. This study aims to design and implement a website-based sales information system using the Laravel framework to overcome these limitations. The system development employed the Waterfall model, consisting of sequential stages: requirement analysis, system design, implementation, testing, and evaluation. During the design phase, Unified Modeling Language (UML) diagrams were used to visualize system structure and workflow, while the MySQL database ensured data integrity and normalization. The implementation utilized the Model-View-Controller (MVC) architecture in Laravel to maintain modularity and scalability. The testing phase applied black-box and white-box methods to ensure all functional modules such as login authentication, product management, transaction processing, and sales reporting performed correctly. The results show that the system successfully automates business processes, significantly improves data accuracy, and enhances operational efficiency. All modules functioned according to user expectations with a 100% success rate in testing. Moreover, the integrated reporting module allows users to generate real-time, detailed transaction summaries, supporting better managerial decision-making. This research demonstrates that Laravel-based information systems can serve as an effective digitalization strategy for SMEs, offering flexibility, security, and ease of maintenance for long-term sustainability

    Comparison of Stock Mutual Fund Price Forecasting Results Using ARIMA and Neural Network Autoregressive Model

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    Stock mutual funds gained popularity among the public as an investment alternative due to the convenience they offer, especially for beginner investors who have limited time and investment knowledge. Compared to money market and bond mutual funds, these mutual funds offer higher potential returns but also come with higher risks due to value fluctuations, so forecasting stock mutual fund prices is essential to minimize losses. Since stock mutual fund prices is time series data, this research employs two forecasting models such as Autoregressive Integrated Moving Average (ARIMA) and Neural Network Autoregressive (NNAR). The objective of this research is to determine the best-performing model between ARIMA and NNAR, and compare their forecasting accuracy using the Mean Absolute Percentage Error (MAPE). The data used consists of daily closing prices of stock mutual funds from March 1, 2022, to March 31, 2025, with the criteria that the selected issuers have been operating for more than five years. The results of this research show that the best ARIMA and NNAR for the RNCN are ARIMA([1],1,0) and NNAR(2,2); for TRAM are ARIMA(0,1,[1]) and NNAR(4,1); for SCHRP are ARIMA(0,1,[1]) and NNAR(4,2); for MICB are ARIMA([1],1,0) and NNAR(2,2); and for BNPP are ARIMA([1],1,0) and NNAR(5,1). The MAPE values in the same order are 6.83% and 5.49%; 6.53% and 5.75%; 8.57% and 7.10%; 8.39% and 8.75%; 8.51% and 7.30%. Based on the comparison, NNAR outperformed ARIMA in four out of five mutual funds, with lower MAPE values and also marked by the ARIMA model tend to produce stable or unchanging values over the long term. The results of this research are expected to assist investors in consederating by choosing NNAR model, both in the short and long term, to obtain better stock mutual fund price forecasts

    Analyzing Benthic Distribution and Public Infrastructure to Support Tourism Zoning on Tunda Island

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    This study presents a comprehensive analysis of benthic habitat distribution and public infrastructure on Tunda Island, aimed at developing effective tourism zoning strategies. By integrating high-resolution spatial data derived from field surveys and remote sensing technologies, including multispectral imagery and Geographic Information System (GIS) methodologies, the research delineates distinct zones optimal for diverse tourism activities. The findings indicate that the southern and southeastern parts of the island, characterized by sandy substrates and proximity to resorts and docks, are well-suited for intensive tourism. Conversely, the northern and northwestern regions, dominated by coral and rocky substrates, are proposed for conservation-oriented educational tourism due to their rich biodiversity. The research also highlights the potential of community-based tourism facilitated by existing public infrastructure such as schools and mosques, which supports local engagement in tourism development. The resultant zoning map serves as a vital tool for local authorities and stakeholders in Tunda Island, guiding sustainable tourism management practices that value ecological integrity and community involvement. This study underscores the importance of interdisciplinary approaches in ecological monitoring and tourism planning, contributing to the broader discourse on sustainable practices in small island context

    Empowerment of Kelompok Wanita Tani (KWT) Amanah, Sidomulyo in Ecoprint Making

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    Sidomulyo Village, situated in Bantul Regency, Indonesia, is confronted with economic challenges, particularly among its predominantly female population who face limited educational and economic opportunities. Recognizing the village\u27s abundant natural resources, this community service program facilitated by Kelompok Wanita Tani (KWT) Amanah aimed to empower local women through ecoprint batik making. The program focused on equipping participants with skills in ecoprint techniques using locally sourced plant materials. Through stages of socialization, training, mentoring, and evaluation, the participants learned to create vibrant fabric patterns without chemical dyes, promoting environmental sustainability and preserving local biodiversity. Positive feedback highlighted the program\u27s effectiveness in enhancing participants\u27 skills and knowledge, with a strong interest shown in further developing ecoprint skills and exploring entrepreneurial opportunities, including online marketing. This study underscores the transformative impact of community-based initiatives in promoting women\u27s economic independence and sustainable development through traditional craft practices

    Halal Certification Assistance for Sambal Pecel Madiun Ikopin MSMEs in Jatinangor, Sumedang, Indonesia

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    Sambal pecel is a traditional Indonesian plant-based food product that falls under the low-risk category for halal certification. This study aims to describe the halal certification assistance process provided to the Sambal Pecel Madiun Ikopin MSME through the self-declare scheme. The four-week program included halal literacy education, technical assistance for uploading documents to the SIHALAL system, and verification by an official halal facilitator (PPH assistant). As a result, the MSMEs successfully fulfilled all administrative and technical requirements and obtained a halal certificate. The assistance proved effective in enhancing MSMEs actors’ understanding of halal regulations and their readiness in preparing legal documents such as NIB, halal ingredient lists, and production segregation. The study also highlights challenges including limited digital literacy and user-unfriendly system interfaces. The success of this program not only resulted in halal certification but also improved product competitiveness, consumer trust, and market opportunities. This study recommends a sustainable mentoring model through collaboration between universities, PPH assistants, and BPJPH to expand access to halal certification for MSMEs effectively. Keywords: halal certification, self-declare, MSMEs, sambal pecel, halal mentorin

    The Effect of Corporate Governance Implementation and Corporate Social Responsibility Disclosure on Firm Value: An Empirical Study on Manufacturing Sector Companies Listed on the Indonesia Stock Exchange in 2022–2023

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    This study aims to analyze the effect of Corporate Governance implementation and Corporate Social Responsibility (CSR) disclosure on company value in manufacturing sector companies listed on the Indonesia Stock Exchange (IDX) during the 2022–2023 period. Corporate Governance is measured using several indicators such as institutional ownership and the proportion of independent commissioners. Meanwhile, CSR disclosure is analyzed based on the GRI (Global Reporting Initiative) disclosure index. Company value is measured using the Tobin\u27s Q ratio. This study uses a quantitative method with a multiple linear regression approach. The sample was selected using a purposive sampling technique, with 33 companies meeting the criteria. Data were obtained through annual reports and sustainability reports published by each company. The results of the study indicate that the implementation of Corporate Governance partially has a significant effect on company value, especially on the variables of institutional ownership and independent commissioners. Meanwhile, CSR disclosure is also proven to have a positive and significant effect on company value. Simultaneously, Corporate Governance and CSR disclosure have a significant effect on increasing company value. This study provides implications that companies need to improve the quality of governance and disclosure of social and environmental information to increase investor confidence and company value in the capital market

    Ethnomathematics and Renewable Education in the Village of Tanjungjaya Village, Panimbang District, Pandeglang Regency, Banten

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    This study explores the integration of ethnomathematics and renewable education in Pandeglan village, Tanjung Jaya, Banten, Indonesia. Using a qualitative case study approach, it explores how indigenous mathematical practices can be integrated into formal education alongside modern technology. The findings reveal that ethnomathematics is deeply embedded in the daily life of the village, especially in agriculture and traditional crafts. Local practices show that geometry and measurement concepts are intuitively applied. In schools, teachers are beginning to incorporate these cultural elements into math lessons, increasing students\u27 motivation and understanding. Some schools demonstrate their commitment to renewable education by adopting computer technology and internet-based teaching materials. However, there are significant implementation challenges, such as limited infrastructure and insufficient teacher training in educational technology. The integration of ethnomathematics and renewable education shows promise in developing students\u27 mathematical and cultural understanding. This approach connects abstract concepts to familiar contexts while introducing modern learning tools. Challenges faced include inadequate technology access, unstable internet connections and teachers\u27 low proficiency with digital tools. The study recommends improving technology infrastructure, conducting regular teacher trainings, developing culturally appropriate educational practices, and fostering collaboration between schools, government and higher education institutions. In conclusion, the study shows that combining ethnomathematics and renewable education has the potential to improve the quality of education in rural areas. It highlights the importance of contextualizing learning within local culture while using modern educational technologies. With appropriate support and implementation, this integrated approach can serve as a model for strengthening education in similar rural context

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