Abstract:This research is aimed at elevating the learning outcomes in Social Studies for the 8B class of SMP Negeri 16 Jakarta by integrating digital literacy into the students' curriculum. Employing a Classroom Action Research method,…
ethod, the study spanned three cycles, involving 35 students from the aforementioned class. Conducted from March to May 2024 at SMP Negeri 16 Jakarta, data collection included observation, testing, and documentation. Results revealed a significant enhancement in student academic performance through the implementation of digital literacy in Social Studies instruction. Analysis across cycles demonstrated consistent improvement in learning mastery, with percentages escalating from 62.85% in the first cycle to 77.14% in the second, and ultimately reaching 85.71% in the third cycle. Beyond academic achievement, the integration of digital literacy fostered active student engagement in the learning process. Students participated more vigorously in discussions, shared information, and adeptly utilized technology to access learning resources. This underscores the dual role of digital literacy: not only as a means of information retrieval but also as a tool for fostering deeper student engagement. Consequently, these findings offer valuable insights for enhancing educational quality, particularly in leveraging digital technology to facilitate more effective and interactive learning experiences.
Abstract:Abstract: The advancement of digital technology has made it easier to create, process, and distribute files—using 317 files from the dataset https://www.kaggle.com/datasets/axon data/selfie-and-official-id-photo-dataset-18k…
t-18k images?select=metadata_image.csv has also introduced new challenges, such as the increasing practice of digital file manipulation that is difficult to detect visually. Therefore, an intelligent digital forensics system that can automatically and accurately detect file authenticity is required. This study aims to develop an intelligent digital forensics system for detecting file manipulation by leveraging metadata analysis and the Random Forest classification method. The methods used include extracting metadata from digital files—such as time information, device details, and processing history—followed by analysis to identify patterns of inconsistency that indicate manipulation. This data is then used as features in the classification process using the Random Forest algorithm to distinguish between original and manipulated files. The results of this study are expected to show that the use of metadata analysis combined with the Random Forest algorithm can improve accuracy in detecting digital file manipulation compared to conventional methods. The resulting system is expected to provide an effective, efficient, and integrated solution to support digital forensic investigations, Based on the test results, the system demonstrated good performance with an accuracy rate of 94%.
Keywords: Digital Forensics;File Manipulation;Metadata Analysis;Random Forest;Classification;Machine Learning
Abstrak:Perkembangan teknologi digital telah meningkatkan kemudahan dalam pembuatan, pengolahan,dan distribusi file sebanyak 317 file, sumber datasets https:// www.kaggle.com/datasets/axondata/selfie-and-official-id-photo-dataset-18k-images?select =metadata_image.csv, namun juga menimbulkan tantangan baru berupa meningkatnya praktik manipulasi file digital yang sulit dideteksi secara kasat mata. Oleh karena itu, diperlukan suatu sistem forensik digital yang cerdas dan mampu mendeteksi keaslian file secara otomatis dan akurat. Penelitian ini bertujuan untuk mengembangkan sistem forensik digital cerdas untuk deteksi manipulasi file dengan memanfaatkan analisis metadata dan metode klasifikasi Random Forest. Metode yang digunakan meliputi proses ekstraksi metadata dari file digital, seperti informasi waktu, perangkat, dan riwayat pengolahan, kemudian dilakukan analisis untuk menemukan pola ketidaksesuaian yang mengindikasikan adanya manipulasi. Selanjutnya, data tersebut digunakan sebagai fitur dalam proses klasifikasi menggunakan algoritma Random Forest untuk membedakan antara file asli dan file yang telah dimanipulasi. Hasil dari penelitian ini diharapkan menunjukkan bahwa penggunaan analisis metadata yang dikombinasikan dengan algoritma Random Forest mampu meningkatkan akurasi dalam mendeteksi manipulasi file digital dibandingkan metode konvensional. Sistem yang dihasilkan dapat memberikan solusi yang efektif, efisien, dan terintegrasi dalam mendukung proses investigasi forensik digital, Berdasarkan hasil pengujian, sistem menunjukkan performa yang baik dengan tingkat akurasi sebesar 94%.
Kata Kunci: Forensik Digital, Manipulasi File, Metadata, Random Forest, Klasifikasi, Machine Learning.
Abstract:Abstract: By leveraging digital technology, Laporkitong enhances transparency and accountability, as well as facilitates public participation in the oversight and enforcement processes related to land use and natural resource…
ource management. The Laporkitong website functions as an online reporting application aimed at documenting instances of spatial planning violations in the West Papua Province. The lack of public knowledge about the Laporkitong application has led to numerous issues. Therefore, an analysis of the adoption of the Laporkitong application is necessary. This study aims to investigate the influence of Perceived Quality, Perceived Control, and Perceived Ease of Use factors as determinants of the residents' willingness to use the Laporkitong application, employing the Technology Acceptance Model (TAM) and DeLone and McLean IS Success (IS D&M) theories. As many as 160 valid respondents are gathered based purposive sampling technique and evaluated using Partial Least Square Structural Equation Modeling (PLS-SEM). The results inform that all seven hypotheses are accepted with the R-square of the intention to use is 0.273 indicationg 27.3% variance of the model can determine the outcome. Further discussion and conclusion regarding the implication of theoretical and practical contribution are also discussed.
Keywords: laporkitong; perceived control; perceived ease of use; perceived quality; technology acceptance model
Abstrak: Dengan memanfaatkan teknologi digital, Laporkitong meningkatkan transparansi dan akuntabilitas, serta memfasilitasi partisipasi publik dalam proses pengawasan dan penegakan terkait penggunaan lahan dan pengelolaan sumber daya alam. Website Laporkitong berfungsi sebagai aplikasi pelaporan online yang bertujuan untuk mendokumentasikan pelanggaran perencanaan tata ruang di Provinsi Papua Barat. Minimnya pengetahuan masyarakat terhadap aplikasi Laporkitong menyebabkan banyak permasalahan. Maka dari itu perlu dilakukan analisis mengenai adopsi pada aplikasi Laporkitong. Penelitian ini bertujuan untuk menyelidiki pengaruh faktor Kualitas yang Dirasakan, Kendali yang Dirasakan, dan Kemudahan Penggunaan yang Dirasakan sebagai penentu keinginan penduduk untuk menggunakan aplikasi Laporkitong, dengan menggunakan Model Penerimaan Teknologi (TAM) dan teori Kesuksesan Sistem Informasi (IS D&M) DeLone dan McLean. Sebanyak 160 responden valid dikumpulkan berdasarkan teknik purposive sampling dan dievaluasi menggunakan Partial Least Square Structural Equation Modeling (PLS-SEM). Hasilnya menunjukkan bahwa semua tujuh hipotesis diterima dengan R-square niat untuk menggunakan adalah 0,273, menunjukkan bahwa 27,3% variasi model dapat menentukan hasilnya. Diskusi lebih lanjut dan kesimpulan mengenai implikasi kontribusi teoritis dan praktis juga dibahas.
Kata kunci: laporkitong; pengendalian yang dirasakan; kemudahan penggunaan yang dirasakan; kualitas yang dirasakan; model penerimaan teknologi
Abstract:Tax avoidance represents a strategic maneuver by taxpayers to minimize their tax burden by capitalizing on the intricacies of tax legislation. This complex phenomenon encompasses a range of tactics, including leveraging…
exemptions, deductions, tax incentives, non-taxable income, deferring tax liabilities, and, regrettably, engaging in unethical practices such as bribery and forgery. This study seeks to unravel the intricate relationships between profitability, solvency, capital intensity, and company size regarding tax avoidance within the manufacturing sector, specifically targeting food and beverage firms listed on the Indonesia Stock Exchange from 2017 to 2022. Employing the Cash Effective Tax Rate (CETR) as a proxy for tax avoidance, we meticulously selected a sample of 70 companies through purposive sampling based on rigorous criteria. Our analysis, conducted via multiple linear regression using SPSS 25, reveals compelling insights: profitability, solvency, and capital intensity significantly bolster tax avoidance strategies, while larger company size appears to dampen these efforts. Collectively, these factors create a multifaceted influence on tax avoidance behaviors, highlighting the intricate dynamics at play within the corporate landscape.
Abstract:This study explores the role of rubrics in improving speaking skills among Generation Z students under the Merdeka Curriculum in Indonesia. By leveraging qualitative research methods, specifically in-depth interviews with…
h experienced English language teachers, the study delves into the practical applications, benefits, and challenges of rubric implementation. The findings reveal that rubrics significantly enhance student performance by providing clear, structured, and detailed feedback, aligning with Generation Z's preference for interactive and visually engaging learning experiences. Additionally, the study highlights the compatibility of rubrics with the objectives of the Merdeka Curriculum, emphasizing student independence and creativity. These insights underscore the necessity for educators to adopt and refine rubric-based assessments to meet contemporary educational goals and the unique characteristics of modern learners.
Abstract:Risk based audit (RBA) is an approach that is increasingly being applied in the banking sector to increase the effectiveness of risk management and compliance with regulations. This approach helps banks identify high-risk…
k areas and prioritize audits according to the level of risk. This research uses qualitative methods with a literature research approach. Data sources consist of scientific journal articles, books, reports and documents related to risk-based and banking audits. Research findings show that the RBA has several key roles in improving banking performance. First, RBA improves operational efficiency and effectiveness by focusing audits on high-risk areas. Second, the RBA enables banks to proactively identify and manage risks, thereby strengthening financial and operational stability. Third, the RBA ensures that banks are more compliant with regulations and industry standards, reducing the risk of sanctions and fines. In addition, the implementation of RBA encourages the formation of a strong risk management culture and the use of information technology to support the risk management process. Risk based audit plays a significant role in improving banking performance. By improving operational efficiency, managing risk proactively, ensuring regulatory compliance, establishing a strong risk management culture, and leveraging technology, banks can achieve stability and better performance in the long term. These findings support the importance of implementing RBA as the main strategy in risk management and supervision in the banking sector.