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The Effect of Edmodo-Based Project Based Learning on Students' Critical Thinking Skills: Meta-analysis Bucky Wibawa Karya Guna; Abdullah Ardi; Khaerudin Khaerudin; Bachtiar Nasution; Andri Kurniawan; Jumadi Nur; Tomi Apra Santosa
Edumaspul: Jurnal Pendidikan Vol 7 No 2 (2023): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v7i2.7542

Abstract

This study aims to determine the effect of project-based learning edmodo on students' critical thinking skills. This is a meta-analysis. Data sources come from 11 national and international journals published in 2019-2024. The process of searching for data sources through the databases of google scholar, ERIC, ScienceDirect, Researchgate and Taylor of Francis. Search keywords are learning through edmodo, Project Based Learning, Etnomodo based project based learning, and the influence of edmodo based project based learning on students' critical thinking skills. Data selection through PRISMA 2020 method. Analyze data with SAP applications. The results of the study concluded that the application of project-based learning edmodo had a significant effect on students' critical thinking skills with an average effect size value of 1.03 with high criteria. This finding shows that project-based learning edmodo has a positive influence on improving students' critical thinking skills in schools.
Effectiveness of the STEAM based SETS Learning Model to Increase Student's Scientific Literacy in Science Learning Dalimawaty Kadir; Tomi Apra Santosa; Iswanto Iswanto; Kartini Marzuki; Bucky Wibawa Karya Guna; Miftachul Amri; Hadi Widodo; Suyahman Suyahman
Edumaspul: Jurnal Pendidikan Vol 8 No 1 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v8i1.7725

Abstract

The purpose of this study was to determine the effectiveness of STEAM-based SETS learning to improve students' science literacy in science learning. This type of research is a meta-analysis of data collection through the analysis of 11 national and international journals published in 2021-2024. Data sampling techniques through purposive sampling techniques. The inclusion criteria in this study are research accessed through the google scholar database; ERIC, Sciencedirect and Wiley, research related to the STEAM-based SETS model to improve students' science literacy in science learning, Research must be indexed by SINTA, Scopus and WOS and research has complete data to calculate effect size. Data search keywords are SETS learning models, STEAM, Science literacy and Science learning. Data selection process through PRISMA method. Data analysis is quantitative analysis with the help of Microsoft Excel application. The results concluded that the STEM-based SETS learning model had a significant effect on students' science literacy skills with an average value of effect size (ES= 0.834) in the high effect size category. The findings provide important information that STEM-based STEM learning modes are effective for improving students' science literacy in science learning with N-gain = 0.41.
Artificial Intelligence-Based Music as a Cultural Practice: A Socio-Anthropological Analysis of Creativity, Agency, and Algorithmic Mediation Guna, Buky Wibawa Karya; Sjoraida, Diah Fatma; Reffali, Soni; Dipura, Agus Sukarna; Hidayah, Yuly
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 5 No. 2 (2024): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v5i2.2012

Abstract

The integration of artificial intelligence (AI) in music production is growing rapidly and has given rise to debates about creativity, authorship, and the role of human agents in cultural practices. While a number of previous studies have tended to highlight the technical, economic, or legal aspects of AI-based music, studies of its socio-anthropological implications are still limited. This research aims to analyze AI-generated music as a cultural practice that is at the intersection of human and machine agents. Using a qualitative socio-anthropological approach, this study applies digital ethnography and document analysis to AI music platforms, musical artifacts, and online public discussions that developed between 2022–2024. The findings show that AI-based music practices are characterized by the normalization of algorithmic sounds, increasing human-AI collaboration, unclear boundaries of authorship, the influence of algorithmic mediation on cultural visibility, as well as ambivalent listener responses. The results show that AI does not replace human creativity, but reconfigures music agencies through relational and curatorial practices shaped by the platform's infrastructure. The study concludes that AI-based music is a new socio-technical configuration in which creativity, meaning, and cultural authority are negotiated on an ongoing basis. The contribution of this research enriches the study of music anthropology, posthumanist theory, and critical discourse on cultural production in algorithmic societies.
MORALITY AND SOCIAL ASSISTANCE IN SCHOOLS Bucky Wibawa Karya Guna; Hosaini; Sri Haryanto; Haya; M. Fathun Niam
International Journal of Teaching and Learning Vol. 1 No. 6 (2024): International Journal of Teaching and Learning (INJOTEL)
Publisher : Adisam Publisher

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Abstract

This research deals with morality and social deviations with emphasis on basic moral concepts, deviant behavior, the role of students in deviant conduct, and the school's role in shaping children's behaviour. The study examines the factors that influence behavior and interpersonal relationships and provides insight into how to reduce bad behaviour. This research uses a qualitative approach by reviewing relevant literature and research in this field. The results of this research show that the main concept of morality encompasses the moral principles that shape values and norms in society. Asusile behavior includes behaviors that violate social norms and can have a negative impact on individuals and societies. Students are often susceptible to behavioral disorders due to various factors such as peer stress, social media influence and the environment. However, schools can play an important role in shaping child behavior through structured behavioral instruction, value-based learning approaches, and social development. Collaborative efforts between schools, families and communities are also needed to resolve moral conflicts and encourage strong behavior in the younger generation.
POLITICAL COMMUNICATION STRATEGY FOR WINNING THE PRABOWO-GIBRAN PAIR IN WEST JAVA IN THE 2024 ELECTIONS Diah Fatma Sjoraida; Aat Ruchiat Nugraha; Bucky Wibawa Karya Guna
Journal of Economics, Accounting, Business, Management, Engineering and Society Vol. 1 No. 7 (2024): KISA INSTITUE : June 2024
Publisher : PT. Kreatif Indonesia Satu

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Abstract

This study explores the political communication strategies used by the Prabowo-Gibran pair in the 2024 elections in West Java. By using a holistic approach that combines traditional and digital methods, the pair managed to reach various segments of voters. Audience segmentation is key in delivering campaign messages that are relevant and attractive to each demographic group. The quick response to current issues strengthens the couple's image as leaders who are responsive and care about the interests of society. In addition, collaboration with local media helps them to ensure balanced and positive coverage of their campaigns, as well as expand the reach of communication with the public. This study highlights the importance of holistic, responsive and collaborative political communication strategies in winning voter support in West Java.  
Analyzing the Efficacy of Restorative Justice Practices in Criminal Law Makkah HM; Andrew Shandy Utama; Bucky Wibawa Karya Guna; Andri Kurniawan; Aat Ruchiat Nugraha; Suhardy Suhardy; Ahmad Zain Sarnoto; Alex Irawan Triantho
Pena Justisia: Media Komunikasi dan Kajian Hukum Vol. 23 No. 1 (2024): Pena Justisia
Publisher : Faculty of Law, Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/pj.v23i1.5226

Abstract

This study aims to analyze the effectiveness of restorative justice practices in the context of criminal law. Restorative justice is an alternative approach that focuses on restoring relationships between perpetrators, victims, and society through dialogue and out-of-court settlements. With the growing idea that traditional criminal justice systems are often more repressive than rehabilitative, restorative justice offers a new paradigm that emphasizes perpetrator responsibility, victim recovery, and active community involvement. This study uses case study methods and literature reviews to evaluate the extent to which restorative justice practices are able to achieve their main goals, namely reducing recidivism, recovering victims, and reintegrating perpetrators. The results show that, while restorative justice is effective in some contexts, its implementation is often hampered by a lack of understanding, a supportive legal framework, and resistance from traditional legal systems. In conclusion, although restorative justice has great potential in improving the weaknesses of the conventional criminal justice system, further development is needed in policy and application to ensure its success more broadly.
CLOUD ACCOUNTING CONTROLS FOR SMALL AND MEDIUM ENTERPRISES: A FRAMEWORK FOR RELIABLE DIGITAL RECORDS Bucky Wibawa Karya Guna; Diah Fatma Sjoraida
Journal of Jabar Economic Society Networking Forum Vol. 3 No. 1 (2026): Jesocin : January
Publisher : Organisasi Kreatif Indonesia Emas

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Abstract

Background: Organizations increasingly depend on cloud accounting controls, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about small to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects cloud accounting controls, small, and medium enterprises through five mutually reinforcing capabilities: data integrity, model and technology controls, human judgment, accountability, and continuous monitoring. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.
DECISION-USEFUL ESG METRICS: A GOVERNANCE FRAMEWORK FOR MATERIALITY, TRACEABILITY, AND BALANCED PERFORMANCE Bucky Wibawa Karya Guna; Endang Ruchiyat
Journal of Jabar Economic Society Networking Forum Vol. 3 No. 5 (2026): Jesocin : May
Publisher : Organisasi Kreatif Indonesia Emas

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Abstract

Background: Organizations increasingly depend on decision-useful esg metrics, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about physical and financial connectivity to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects decision-useful esg metrics, physical and financial connectivity, and stakeholder accountability through five mutually reinforcing capabilities: materiality, physical and financial connectivity, stakeholder accountability, transition governance, and credible disclosure. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.
TAX DATA QUALITY AND ELECTRONIC INVOICING: A GOVERNANCE FRAMEWORK FOR RELIABLE COMPLIANCE AND BUSINESS INSIGHT Anggun Yolistina; Bucky Wibawa Karya Guna
Journal of Jabar Economic Society Networking Forum Vol. 3 No. 8 (2026): Jesocin : August
Publisher : Organisasi Kreatif Indonesia Emas

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Abstract

Background: Organizations increasingly depend on tax data quality, yet visible activity does not by itself demonstrate reliable capability or sustainable value. Fragmented responsibilities, weak evidence, and locally optimized metrics can cause decisions about electronic invoicing to create unmanaged exposure elsewhere. Aim: This article develops a governance framework that connects tax data quality, electronic invoicing, and human judgment through five mutually reinforcing capabilities: data integrity, model and technology controls, human judgment, accountability, and continuous monitoring. Method: The paper uses an integrative conceptual review. Established management research, professional standards, and institutional guidance are synthesized through construct clarification, mechanism mapping, risk-control analysis, and proposition development. It does not report respondents, sample statistics, or causal estimates. Results: The synthesis indicates that performance becomes more resilient when decision rights, data definitions, controls, escalation paths, and learning routines are designed as one management system. The proposed model links each capability to observable evidence and balanced indicators. Contribution: The article offers an auditable implementation sequence and propositions that can be tested in later empirical research.