Indonesian Technology and Education Journal

Social Environment and Internet Engagement as Predictors of Cyberbullying in Young People

2025-09-26T11:43:24+00:00

Social media has become an important part of young people's lives, not only as a means of communication and entertainment, but also as a space for intense social interaction. The high intensity of internet use brings both positive opportunities and risks, one of which is cyberbullying which has a serious impact on mental health, such as anxiety and depression. This study aims to analyze the effect of internet usage intensity and social environment on cyberbullying tendencies in college students. The research method used a quantitative approach with a cross-sectional design. Data were obtained through a five-point Likert scale online questionnaire filled out by 83 respondents from various generations. Descriptive analysis showed that aspects of social media use were quite high, while direct experience of cyberbullying was relatively lower. Social environment support was moderate, but awareness of cyberbullying prevention was high. The findings indicate that the intensity of internet use potentially increases the risk of cyberbullying, but social environmental factors and digital awareness can serve as important protections. This research provides practical contributions in the form of recommendations for digital literacy, strengthening family support, and social media monitoring to create a safer digital ecosystem for the younger generation.

Application Development for Fasting and Worship Management Ramadan Using the Incremental Method: Kareem

2025-09-27T01:52:29+00:00

The development of Artificial Intelligence (AI) in education, especially in design teaching, offers great potential to improve students' creativity, reflection, and design thinking mindset. This study aims to evaluate the effect of AI integration in design-based learning on students' creative thinking ability, reflection, and design mindset. The study used quantitative methods with a cross-sectional design, involving 82 respondents from various departments in higher education institutions. The research instrument was a questionnaire covering aspects of creativity, reflection, and design mindset. The data analysis technique used descriptive analysis. The results showed that 59.76% of the respondents were 19 years old, and most (85.37%) were 3rd semester students. The use of AI in design-based learning was proven to increase student creativity with an average score of 3.66 on a scale of 5, strengthen reflection skills with an average of 3.63, and improve design thinking mindset with an average of 3.75. However, the results also revealed that AI is more effective as a supporting tool in the learning process rather than replacing direct interaction between students and educators. Therefore, AI can be integrated as a tool that supports creativity, but still requires the role of human guidance.

Analysis of the Effect of Artificial Intelligence Integration in Design Learning on Creativity, Reflection, and Mindset

2025-09-27T03:06:00+00:00

The development of Artificial Intelligence (AI) in education, especially in design
teaching, offers great potential to improve students' creativity, reflection, and
design thinking mindset. This study aims to evaluate the effect of AI integration
in design-based learning on students' creative thinking ability, reflection, and
design mindset. The study used quantitative methods with a cross-sectional
design, involving 82 respondents from various departments in higher education
institutions. The research instrument was a questionnaire covering aspects of
creativity, reflection, and design mindset. The data analysis technique used
descriptive analysis. The results showed that 59.76% of the respondents were 19
years old, and most (85.37%) were 3rd semester students. The use of AI in designbased
learning was proven to increase student creativity with an average score of
3.66 on a scale of 5, strengthen reflection skills with an average of 3.63, and
improve design thinking mindset with an average of 3.75. However, the results
also revealed that AI is more effective as a supporting tool in the learning process
rather than replacing direct interaction between students and educators. Therefore,
AI can be integrated as a tool that supports creativity, but still requires the role of
human guidance.

Design of Website-Based Bugis Waterpark Adventure Tourism Information System Using Agile Method: BugisGo

2025-09-27T03:14:21+00:00

Bugis Waterpark Adventure in Makassar faces challenges in promotional outreach and information accessibility due to the absence of a professionally designed web-based information system. This research aims to design and develop a web-based tourist information system, BugisGo, to improve accessibility and visitor experience. The system was developed using the Agile method, which involves the stages of system planning, requirements analysis, system design, implementation, and iterative testing. BugisGo successfully implemented key features such as online ticket booking, payment system, and visitor feedback. Black-box and white-box testing showed that the system functions properly and securely. The Agile development process allows for flexibility and continuous improvement based on user feedback, increasing visitor satisfaction and operational efficiency. The BugisGo system successfully improved accessibility and visitor experience, but further research is needed for performance testing under high load conditions and mobile application integration.

Student Perspectives on the Importance of Digital Security Technology in Higher Education

2025-09-27T03:28:08+00:00

The dependence on digital technology in higher education has increased the need for digital security technology. This study aims to explore students' perspectives on the importance of digital security in Indonesian higher education, focusing on factors such as motivation, behavior, trust, and intention to use digital security technology. Using a quantitative descriptive approach and cross-sectional design, data were collected from 91 respondents through a Likert scale questionnaire covering the variables of Motivation and Behavior, Perceived Trust, Electronic Word of Mouth, Actual Use, and Intention to Use. The results show that students have high motivation and positive behavior towards the use of digital security technology, supported by their trust in the effectiveness of the technology and the role of the government. These findings indicate that the adoption of digital security technology can be strengthened through better digital security education and literacy, as well as supportive policies. This research contributes theoretically to the literature on technology acceptance in higher education and offers practical insights for increasing student awareness and participation in digital security.