This study explores how company size affects environmental costs and carbon emission transparency in Indonesia's metal and mining sector. Despite its economic importance, the industry contributes heavily to environmental harm. Analyzing secondary data from 20 listed companies, most are classified as large firms. Environmental cost reporting varies greatly, from IDR 35 million to IDR 708 billion. Five companies lack valid carbon data or fall short of OJK standards, while PT Trimegah Bangun Persada records the highest emissions. Larger companies tend to report more extensively, though not always comprehensively. The study highlights the need for stricter regulations to ensure environmental reporting transparency.

This study aims to examine the effectiveness of using the Kahoot! application as a tool for student learning evaluation at the elementary school level. Using a literature review method, the researchers analyzed various relevant journals and scientific articles to assess the advantages, limitations, and impacts of Kahoot in the evaluation process. The findings indicate that Kahoot effectively enhances student motivation and participation, improves learning outcomes, and facilitates teachers in conducting interactive and enjoyable assessments. This application also supports the integration of online learning and can be flexibly used across multiple platforms. However, several challenges remain, such as limited internet access and the lack of ICT competence among teachers. Therefore, institutional support in the form of training and infrastructure provision is necessary to optimize the use of Kahoot in the learning process.

Kulit terong ungu merupakan salah satu varietas yang berwarna ungu yang mengandung antosianin. Senyawa antosianin berfungsi sebagai antioksidan bagi tubuh yang dapat mencegah stress oksidasi. Kulit terong ungu memiliki potensi sebagai bahan dasar pembuatan minuman olahraga karena kandungan senyawa antosianin. Penelitian ini bertujuan untuk menganalisis karakteristik sensori dan fisikokimia. Penelitian ini menggunakan Rancangan Acak Lengkap dengan dua kali pengulangan. Terdapat 3 formulasi konsentrasi bubuk kulit terong ungu yaitu F1 (22,9 g), F2 (27,9 g), F3 (33,6 g). Minuman disimpan selama 28 hari pada suhu 20C -80C dan dianalisis setiap 7 hari. Parameter yang diamati adalah pH, total padatan terlarut, dan uji sensori (warna, aroma, kekentalan, penampakan fisik). pH dan total padatan terlarut di uji menggunakan Kruskall-Wallis, uji sensori dianalisis dengan teoritis deskriptif. Hasil pengamatan menunjukan tidak ada pengaruh yang signifikan (p > 0,05) antara perbedaan formulasi dengan nilai pH dan total padatan terlarut. Uji sensori menunjukan bahwa perubahan paling nyata terjadi pada aroma. Warna, kekentalan, dan penampakan fisik cenderung stabil.

The development of information technology is currently increasingly rapid and diverse, supported by computer devices. Primarily in the field of information systems, information systems in related educational institutions are usually called academic information systems, for example student data, teacher data, class data, subject data, schedule data, grade data.
Madrasah Aliyah Hidayatusuban Semarang is a school that conveys information through media, so that when conveying information it is not fast enough because the means of communication are lacking between the school, students and parents are not good at digesting academic information, to overcome the problem the author created an Academic Information System with a Knowledge Management method based on Web and PHP as programming languages ??and use MySQL database.
With the existence of a web-based information system with the Knowledge Management method, this can be a solution to solving the problems that exist at Madrasah Aliyah Hidayatusuban Semarang because web technology is easy and easy to access anywhere by parents and students, as well as teachers and employees can manage academics. offline (in a school environment) because the Knowledge Management method itself is a collection of information that is put together in one place and can provide knowledge to users effectively and efficiently in supporting activities

Traditional games play an important role in the motor development of elementary school children. However, cultural changes and increasing use of technology have caused these games to be played less and less. This study aims to analyze the effect of traditional games on the motor development of elementary school children. Using a quasi-experimental method with a pretest-posttest control group design, this study involved 20 4th grade elementary school students who were divided into experimental and control groups. The experimental group was given treatment in the form of traditional games such as hopscotch, gobak sodor, and jump rope for 4 weeks. The results showed a significant increase in the gross motor development of children who participated in traditional games compared to the control group. In addition to motor benefits, traditional games also contribute to children's social, cognitive, and character development. Therefore, the integration of traditional games into the physical education curriculum in elementary schools is highly recommended to support children's holistic development.

Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through several main stages, including image preprocessing (conversion to grayscale, thresholding, and image size normalization), feature extraction using the zoning technique, and classification using the KNN algorithm. This research utilizes the MNIST dataset, which contains thousands of handwritten digit images ranging from 0 to 9. The system is developed using the Google Colab platform, supported by Python libraries such as OpenCV, NumPy, and Scikit-learn. Test results show that the system can achieve an accuracy of over 90% at certain K values, indicating that the KNN method is quite effective and efficient in recognizing handwritten digit patterns. This system is expected to be applicable for various digitization needs of handwritten numbers in education, administration, and information technology sectors

Dalam era modern ini, olahraga virtual atau esports semakin berkembang sebagai bukti kemajuan pada bidang olahraga. Penelitian ini bertujuan untuk mengetahui pengaruh dari konsentrasi, motivasi intrinsik, dan pengalaman bertanding terhadap prestasi atlet esports eFootball Mobile. Penelitian ini menggunakan desain korelasional melalui uji survey dan tes. Tiga puluh atlet berprestasi menjadi sampel pada penelitian ini. Penelitian ini menggunakan instrumen berupa kuesioner, grid concentration test, dan skor prestasi atlet. Hasil analisis pada uji koefisien determinasi menunjukkan jika pengaruh konsentrasi, motivasi intrinsik, dan pengalaman bertanding terhadap prestasi atlet esports efootball mobile ditunjukkan dengan koefisien R square memiliki nilai sebesar 0.670 atau 67.0%, sisanya 33.0% dipengaruhi oleh faktor lain yang tidak termasuk dalam penelitian ini. Sementara pada hasil analisis uji regresi linear berganda dapat disimpulkan bahwa variabel Pengalaman Bertanding memiliki pengaruh terbesar terhadap variabel Prestasi Atlet sebesar 38.7%. Disusul oleh Motivasi Intrinsik dengan pengaruh sebesar 31.0% serta variabel Konsentrasi dengan pengaruh sebesar 30.2%. Variabel konsentrasi, motivasi intrinsik, dan pengalaman bertanding secara simultan memiliki pengaruh signifikan terhadap prestasi atlet esports eFootball Mobile, yang dibuktikan oleh nilai signifikansi sebesar 0.000.

This research aims to explore the effectiveness of Project-Based Learning (PBL) based learning material design that utilizes local wisdom in fostering creative thinking abilities during Society 5.0. This research uses a qualitative method with a case study design. Data was collected through participant observation, in-depth interviews with students and lecturers, document analysis of teaching materials, and documentation studies. The research results show that the design of PBL-based teaching materials with the integration of local wisdom is effective in increasing student involvement in learning and training their creative thinking skills. The project-based learning process encourages collaboration between students and intense interaction with local communities, while the integration of local wisdom makes learning more relevant and contextual for students. The implications of this research show the importance of developing learning design skills for lecturers, active involvement of students in learning, and the need for further research to explore the effectiveness of this approach in a broader educational context. It is hoped that the results of this research can contribute to improving the quality of education in the Society 5.0 era.

Social and economic disparities between regions in Indonesia are still a serious problem, reflected in the high Gini Ratio and disparities in purchasing power. The Consumer Price Index (CPI) is an important indicator in measuring consumption patterns and price pressures between regions. This study aims to cluster 150 districts/cities based on consumption patterns through the CPI using the Agglomerative Hierarchical Clustering (AHC) and Spectral Clustering methods combined with Principal Component Analysis (PCA). The innovation lies in the comparison of the two clustering methods as well as the application of PCA to clarify the data structure. Evaluation with Silhouette Score and Davies-Bouldin Index showed that AHC gave the best results with four representative clusters (Silhouette: 0.76; DBI: 0.32), compared to Spectral Clustering with three clusters (Silhouette: 0.75; DBI: 0.54). Each cluster has different expenditure characteristics, useful for data-driven policy making. These results show that AHC is more effective in capturing interregional variations in consumption.

This study aims to qualitatively analyze the coupon-setting strategy employed by the Directorate General of Budget Financing and Risk Management (DJPPR) in response to fluctuations in Bank Indonesia's benchmark interest rate, specifically the BI 7-Day Reverse Repo Rate (BI7DRR), during the 2021–2024 period. Using a descriptive-analytical approach based on a literature review, the research examines official policy documents, historical BI7DRR data, and relevant academic studies. The findings indicate that DJPPR implemented a floating with floor coupon mechanism as an adaptive strategy to address interest rate volatility. This mechanism has proven effective in maintaining the appeal of Savings Bond Ritel (SBR) among retail investors, while also reflecting the synergy between fiscal and monetary policy in managing national debt instruments