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Impact of Legal Regulations on Innovation in Digital Donation Platforms for Youtube Streamers Agus Wardhono; Wahyu Prawesthi; M Syahrul Borman; Toong Hai Sam; Taffy Faiq Syahmi
RechtIdee Vol 20, No 2 (2025): DECEMBER
Publisher : Trunojoyo Madura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ri.v20i2.30065

Abstract

This study investigates the regulatory implications for the development of digital donation platforms in Indonesia, with a particular focus on Saweria, which is widely utilized by YouTube content creators. The advancement of digital technology has facilitated innovative fundraising through donation-based crowdfunding, yet it simultaneously generates potential risks of misuse. Employing a normative juridical research approach, this study examines the vulnerability of digital donation platforms—initially intended to serve as financial support mechanisms—to exploitation for unlawful purposes, notably the dissemination and promotion of online gambling activities. The findings indicate that although the Information and Electronic Transactions Law (ITE Law), particularly Article 27 paragraph (2) jo. Article 45 as amended by Law No. 1 of 2024, stipulates prohibitions on gambling-related content with sanctions of up to six years imprisonment and/or administrative fines of IDR 1 billion, its enforcement continues to encounter evidentiary and procedural constraints. The study emphasizes the necessity for more specific regulatory frameworks, enhanced platform security, increased awareness among content creators, and coordinated multi-stakeholder collaboration to develop adaptive safeguards against digital criminality.
Transformational leadership and employee efficiency: Mediating role of knowledge sharing Septa Andra Arfianto; Suhana Suhana; Nungki Pradita; Shujahat Ali; Toong Hai Sam
Jurnal Fokus Manajemen Bisnis Vol. 15 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/fokus.v15i1.12509

Abstract

Transformational leadership has been widely recognized for its potential to enhance employee performance. However, the mechanisms through which this influence occurs are not fully understood.This study examines the impact of transformational leadership on employee efficiency, with knowledge sharing as a mediating variable. The research was conducted at Tumbakmas Niagasakti Company, a trading and distribution company in Indonesia. The objective is to determine the extent to which transformational leadership influences employee efficiency and whether knowledge sharing plays a significant role in this relationship. A quantitative approach using a survey questionnaire was employed to collect data from 120 employees. The collected data was analyzed using Partial Least Squares Structural Equation Modelling. The findings reveal that transformational leadership has a positive and significant impact on employee efficiency. Moreover, knowledge sharing was found to partially mediate this relationship, indicating that transformational leaders who foster a culture of knowledge sharing can enhance employee efficiency. The study contributes to the existing literature by providing empirical evidence on the mediating role of knowledge sharing in the relationship between transformational leadership and employee efficiency within an Indonesian context. The implications of these findings for organizations seeking to improve employee performance and organizational effectiveness are discussed.
Integrating generative AI in higher education for lifelong learning Mozaffar Alam Chowdhury; Toong Hai Sam; Md. Sohel Rana; Khan Sarfaraz Ali; Whee Yen Wong; Hasanuzzaman Tushar
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.36796

Abstract

This study investigates the impact of generative artificial intelligence (GenAI) on learning outcomes (LO) and lifelong skills (LLS) within higher education, emphasizing ethical considerations. Employing a quantitative approach, data was collected from 180 students via a questionnaire, examining their AI usage in education. Structural equation modeling (SEM) using SmartPLS 4.1.0.9 was used to analyze the relationship between GenAI use, LO, and LLS. Findings reveal that GenAI can enhance LO, personalize learning experiences, and contribute to developing crucial LLS. However, the study highlights the importance of ethical guidelines to prevent academic dishonesty. This research contributes to the existing literature by exploring the link between GenAI use, LO, and the development of LLS. Practically, it demonstrates that ethical GenAI use promotes both LO and LLS among higher education students, aligning with the sustainable development goals (SDGs) of inclusive and equitable quality education and lifelong learning opportunities.