This dataset was collected using a detailed and rigorous methodology to examine Green IT practices in the Indonesian higher education sector. A structured online questionnaire was distributed to various institutions through a secure digital platform, targeting academics with expertise in IT and sustainability. A random sampling method was employed to ensure a diverse and representative sample of respondents. This approach facilitated high participation rates and enabled the collection of standardized data, ready for immediate analysis, thereby enhancing the quality and reliability of the findings. The dataset comprises quantified responses captured through Likert scales, focusing on multiple dimensions of Green IT, including compliance, awareness, challenges, and benefits. This structured approach ensured precise measurement of attitudes and perceptions of Green IT practices, minimizing variability that might arise from open-ended questions. The comprehensive nature of the data, gathered from individuals with diverse demographic and professional backgrounds, provides robust insights into the factors influencing Green IT implementation in the educational sector. The dataset’s structured format and depth of information offer substantial potential for reuse in future research. It can serve as a benchmark for comparative studies, support longitudinal research to monitor changes over time or aid in developing targeted interventions to enhance Green IT practices in higher education institutions. Overall, this dataset contributes significantly to the academic discourse on Green IT and provides actionable insights for policymakers and institutional leaders striving to promote more sustainable IT practices within the educational sector.
Yudatama et al. (Fri,) studied this question.