Abstract:The use of Artificial Intelligence (AI) technology to visualize the narrative of English-language short stories offers a novel approach to enriching the interpretive and aesthetic dimensions of storytelling. Utilizing BingImage.com…
ngImage.com as an AI-based image generator, textual narratives are transformed into prompts that create visual depictions of each scene. The visuals effectively reflect the mood, emotions, and settings of the story, albeit with some inconsistencies in character depictions across scenes. This exploratory approach examines correlations between narrative and visuals, scene continuity, and aesthetic accuracy. The findings indicate that AI-based visualization can create a more immersive reading experience, enhancing the reader's comprehension through relevant illustrations. This technology also provides creative interpretations that expand the artistic dimensions of short stories. Despite its potential, challenges such as maintaining visual consistency across scenes remain. These findings provide new insights into the integration of digital technology in literary transformation, paving the way for innovative future methodologies.
Abstract:Stunting pada balita merupakan permasalahan kesehatan masyarakat yang serius dan memerlukan penanganan segera melalui deteksi dini yang akurat. CNN (Convolutional Neural Network) merupakan metode yang akurat, efektif dan…
tepat sasaran dalam memberikan hasil yang akurat dan presisi. Implementasi metode CNN dapat mengklasifikasikan status stunting pada balita berdasarkan parameter antropometri dan karakteristik kesehatan. Dataset yang digunakan terdiri dari 6.500 sampel data balita dengan 8 variabel meliputi jenis kelamin, usia, berat lahir, panjang lahir, berat badan, panjang badan, riwayat ASI eksklusif, dan status stunting. Metodologi yang digunakan melibatkan serangkaian tahapan preprocessing data termasuk standardisasi fitur menggunakan StandardScaler, pemisahan data training (80%) dan testing (20%), serta penggunaan arsitektur CNN yang terdiri dari layer konvolusi 1D dengan 32 filter, max pooling, dan dense layer. Model dilatih menggunakan optimizer Adam dengan fungsi loss categorical crossentropy selama 10 epoch dan batch size 32. Evaluasi performa model dilakukan menggunakan berbagai metrik termasuk accuracy, precision, recall, dan F1-score.
Hasil penelitian menunjukkan bahwa model CNN yang dikembangkan mencapai performa yang sangat baik dengan akurasi 90%, precision 89%, recall 92%, dan F1-score 91%. Analisis confusion matrix mengkonfirmasi kemampuan model dalam mengklasifikasikan kedua kelas yaitu pada stunting dan non-stunting secara seimbang. Temuan ini mengindikasikan bahwa implementasi CNN efektif dalam mengidentifikasi status stunting pada balita dan berpotensi menjadi alat bantu yang berharga dalam screening stunting di fasilitas kesehatan.
Abstract:The preparation of financial and tax reports has a very important role in determining the success and compliance of an entity with applicable regulations and standards. The accounting services firm is the entity responsible…
ble for compiling these reports for its clients. Therefore, evaluation of the process of preparing financial and tax reports at accounting services firms becomes relevant to ensure the quality, accuracy and compliance of these reports. The aim of this research is to evaluate the effectiveness and efficiency of preparing financial and tax reports in accounting services offices. This includes analysis of existing processes, use of technology in preparing reports, and understanding taxes. In this way, it is hoped that areas where improvements are needed to improve service quality and compliance with applicable regulations can be identified. This data was collected through literature reviews and interviews with accounting practitioners and analysis of related documents. Apart from that, direct observation of the report preparation process was also carried out to gain a more in-depth understanding. The research results show that although many accounting firms have implemented best practices in preparing financial and tax reports, there are still several areas where improvements can be made. This includes increased use of technology to increase efficiency and increased collaboration between accounting teams and clients to ensure better compliance. By implementing the recommendations resulting from this research, it is hoped that accounting services firms can improve the services they provide and ensure better compliance with accounting and tax standards
Abstract:ChatGPT has attracted considerable media and academic attention as one of the latest developments. It has the ability to generate answers to questions and perform other language-related tasks with exceptional accuracy. This…
his is due to its extensive training set, which closely resembles human-produced texts. Many researchers consider ChatGPT to be an interesting tool for improving students' language and knowledge skills, as well as their problem-solving and communication skills. The study discussed some perceptions of the merits of ChatGPT on English student with each representative answering or filling a questionnaire containing their views or responses to ChatGPT conversations using a quantitative descriptive method. It is hoped that the study can learn how English education students feel using small talk, whether it is having a good effect on their performance or whether it is adversely affecting their performance in college. The results of correlation analysis show patterns of relationships between different variables. There is no linear relationship between the level of agree and strongly disagree, but there is a strong and negative correlation between the level of disagree and strongly agree. meanwhile, a strong positive relationship was observed between neutral and strongly disagree levels.
Abstract:Keberlanjutan operasional sebuah camp bela diri sangat bergantung pada kualitas pengelolaan data anggota. Di BangRajan Muaythai Boxing, pencatatan kehadiran dan pemantauan sesi latihan masih bertumpu pada proses manual,…
yang kerap menghasilkan ketidakakuratan data serta membuka celah bagi peserta dengan paket habis untuk tetap berlatih tanpa terdeteksi. Penelitian ini merancang dan membangun sistem informasi manajemen member berbasis web sebagai solusi atas permasalahan tersebut. Pendekatan pengembangan dilakukan secara bertahap dengan pemodelan UML meliputi Activity Diagram, Use Case Diagram, Sequence Diagram, dan Entity Relationship Diagram. Stack teknologi yang digunakan mencakup Next.js pada sisi klien, NestJS pada sisi server, PostgreSQL sebagai basis data relasional, serta Better Auth untuk manajemen autentikasi. Sistem yang dihasilkan mengintegrasikan fitur absensi cerdas berbasis barcode, pengelolaan paket latihan, dashboard personal bagi member, panel administrasi lengkap, notifikasi kadaluarsa paket, dan manajemen pengumuman camp. Validasi dilakukan melalui Black Box Testing dengan empat skenario pengujian, seluruhnya menghasilkan keluaran yang sesuai ekspektasi. Penerapan sistem ini terbukti meningkatkan efisiensi operasional dan akurasi pencatatan data secara signifikan.
The operational sustainability of a martial arts camp depends greatly on the quality of member data management. At BangRajan Muaythai Boxing, attendance recording and session monitoring still rely on manual processes, which frequently lead to data inaccuracies and allow members with expired packages to continue training undetected. This study designs and develops a web-based member management information system to address these issues. The development follows a phased approach employing UML modeling including Activity Diagrams, Use Case Diagrams, Sequence Diagrams, and Entity Relationship Diagrams. The technology stack consists of Next.js on the client side, NestJS on the server side, PostgreSQL as the relational database, and Better Auth for authentication management. The resulting system integrates barcode-based smart attendance, training package management, a personal member dashboard, a comprehensive admin panel, package expiry notifications, and camp announcement management. Validation was conducted using Black Box Testing across four test scenarios, all yielding expected outputs. Implementation of this system demonstrably improves operational efficiency and data recording accuracy.
Abstract:The publication of sustainability reporting has become a trend in Indonesia even though the regulations for publishing sustainability reporting have not been mandated. Some companies have published their sustainability reports…
eports voluntarily as a demand for the company’s transparency for its operations to stakeholders. To ensure that the sustainability report submitted by the company follows the guideline, the role of an auditor is needed to carry out the assurance. Therefore, the approach used in this study is qualitative. The qualitative method is research that uses descriptive data from the observation of secondary data. Secondary Data is information that already exists from before and is a collection of data by researchers to complement the data needed for research. In this study, the audit of sustainability reports can increase the credibility and accuracy of the information, primarily to support decision-making for stakeholders; this study tries to explain the role of auditors in sustainability reports.
Abstract:Audit quality is the accuracy of the information reported by the auditor by the audit standards used by the auditor of the company's financial statements. This study aims to identify audit quality in several cases that occurred…
ccurred in Indonesia by using audit quality indicators in the form of ethics, people, process, output, and interaction. The research method uses a qualitative descriptive method with the object of analysis in the form of audit quality indicators. The results of this study indicate that the audit ethics quality indicators have the most influence on several cases that occurred in Indonesia.
Abstract:This study aims to examine the application of the High-Low method, Scatterplot, and Least Squares in cost analysis, particularly in separating fixed and variable cost behavior. The research uses a library research approach…
ch by collecting and reviewing literature from textbooks, journals, and official publications related to cost estimation and cost behavior modeling. The findings indicate that the High-Low method is simple because it uses only the highest and lowest activity levels, but its accuracy is limited due to reliance on extreme data points. The Scatterplot method provides a visual representation of the relationship between cost and activity, helping identify patterns and potential outliers; however, its results may vary due to subjective judgment in determining the cost line. Meanwhile, the Least Squares method is considered the most accurate because it utilizes all available data to produce the best-fit regression line, although it requires more complex calculations and statistical understanding. Overall, the selection of the most suitable method depends on the objective of the analysis, data availability, and the level of accuracy required