Visual programming for digital competency development in vocational education and training teachers: a pilot feasibility study with implications for post-compulsory education Anton Subarno Research in Post Compulsory Education, 2026 Industry 4.0 necessitates enhanced digital competencies among vocational education and training (VET) teachers globally; however, significant gaps in technology integration persist, particularly in developing countries where resource constraints demand innovative solutions. This pilot feasibility study explores visual programming platforms as an accessible approach to enhancing VET teachers’ digital competencies, with implications for broader post-compulsory education contexts. A single-group pre-post design was implemented with 20 VET office administration teachers from Indonesia over eight weeks, using Thunkable-based programming. Digital competencies were measured using a validated 40-item instrument encompassing foundational concepts, design capabilities, programming logic, and educational content integration. Analysis revealed significant improvement from pre-test to post-test, with a medium effect size. The strongest improvements occurred in foundational concepts and design capabilities. Cost-effectiveness analysis demonstrated substantial advantages compared to international programmes. However, a quarter of participants exhibited negative response patterns associated with technology anxiety. While the single-group design limits causal inference, preliminary findings suggest that visual programming platforms may offer cost-effective approaches to enhancing VET teachers’ digital competencies when appropriately adapted to local contexts, warranting controlled studies across diverse post-compulsory education environments.
Preface Iop Conference Series Earth and Environmental Science, 2026 The 3rd International Conference on Disaster Management and Climate Change (ICoDMC) 2025 It is with great pleasure that we present the proceedings of the 3rd International Conference on Disaster Management and Climate Change (ICoDMC) 2025, held virtually on August 9, 2025. This conference, organized by the Disaster Research Center, Universitas Sebelas Maret, Indonesia, brought together researchers, academics, practitioners, and policy makers from around the world to share knowledge and innovative solutions addressing the critical challenges of disaster management and climate change. The theme of this year’s conference, “Technology Innovation and Nature-Based Solutions for Climate Resilience,” reflects the urgent need to integrate cutting-edge technological advancements with nature-based approaches to build resilient communities and ecosystems. As climate change continues to intensify the frequency and severity of disasters globally, the importance of interdisciplinary collaboration and knowledge exchange has never been more crucial. This proceedings volume contains peer-reviewed papers presented at ICoDMC 2025, covering diverse topics including climate action and environmental protection, sustainable infrastructure and innovation, resource management and food security, environmental health and wellbeing, and policy and socioeconomic integration. We received 166 article submissions from researchers representing diverse geographical regions including the Philippines, Taiwan, Japan, the Netherlands, and Indonesia. Following a rigorous double-blind peer review process conducted by our esteemed international panel of reviewers, 112 high-quality papers were accepted for presentation and publication in this proceedings, representing an acceptance rate of approximately 67%. This selective process ensures the highest quality of research and scholarly contribution in this volume. List of Committee is available in this PDF.
Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret Patni Ninghardjanti, Anton Subarno, Winar, Muhammad Choerul Umam Research and Practice in Technology Enhanced Learning, 2026 The integration of artificial intelligence (AI) in education has gained global attention, yet significant gaps exist in the understanding of how AI adoption varies across academic disciplines and geographical regions. In Indonesia, particularly in office administration education, limited empirical evidence exists regarding the intersection of AI adoption patterns, user preferences, and educational outcomes. This study examines AI tool adoption among office administration students at Universitas Sebelas Maret (UNS), Indonesia, via an integrated framework that combines the technology acceptance model (TAM) and the information system (IS) success model. Structural equation modeling (SEM) analysis of data from 61 undergraduate students revealed that ChatGPT was the predominant AI tool among students. The analysis identified key relationships between information quality, system quality, and user acceptance factors. The findings support experiential learning theory principles and demonstrate that successful AI integration in education depends on user-friendly interfaces, quality content delivery, and robust support systems. These insights enhance our understanding of AI tool adoption in Indonesian higher education and provide practical strategies for effective AI integration in academic curricula.
Environmental awareness as a predictor of pro-environmental behavior: A study of office administration students Anton Subarno, Patni Ninghardjanti, Muhammad Choerul Umam, Winarno, Novedi Risanti Langgi, Jumiyanto Widodo Iop Conference Series Earth and Environmental Science, 2026 Understanding the psychological predictors of pro-environmental behavior is crucial for developing effective sustainability education programs, particularly in vocational contexts where future professionals will shape environmental practices in the workplace. This study examined the relationships between climate change experiences, environmental awareness, and pro-environmental behavior among 71 office administration students (84.5% female, aged 18-21 years) in Indonesia using validated survey instruments. Multiple regression and bootstrap mediation analyses revealed that environmental awareness significantly predicted pro-environmental behavior (β = 0.268, t = 2.312, p < 0.05, R 2 = 0.072). However, climate change experiences showed weak and non-significant relationships with environmental awareness (β = 0.163, p > 0.10) and pro-environmental behavior (β = 0.088, p > 0.10). Bootstrap mediation analysis found no significant indirect effect (95% CI [-0.022, 0.133]), indicating that environmental awareness did not mediate the relationship between climate experiences and behavior. These findings suggest that environmental awareness functions as a more proximal predictor of pro-environmental behavior than direct climate experiences among vocational students. The results have important implications for sustainability education programs, suggesting that awareness-building interventions may be more effective than experience-based approaches for promoting environmental action in office administration training contexts.
INTEGRATING ENVIRONMENTAL HEALTH INTO DISASTER-RESILIENT VILLAGES: STRATEGIES, CHALLENGES, AND SOLUTIONS IN SURAKARTA, INDONESIA Anton Subarno, Sorja Koesuma, Sukatiman Jurnal Kesehatan Lingkungan, 2025 Introduction: Surakarta is a city plagued by challenges related to critical disaster vulnerability, with 26 out of its 54 urban villages lacking disaster-resilient status despite facing frequent floods, landslides, and dense settlement fires that threaten environmental and public health. Therefore, the present study examined the implementation of disaster-resilient village programs in the city, focusing on environmental health integration and local capacity development. Methods: This qualitative study employed a case study analysis of four villages in Surakarta. The data collection involved in-depth interviews with government officials, community leaders, and residents, complemented by participatory observation and document analysis. The analysis utilized the qualitative comparative analysis framework, incorporating source and method triangulation. Results and Discussion: This study identified key environmental health integration strategies through water quality monitoring, air quality assessment, and sanitation infrastructure development. It was found that improved water quality monitoring reduced waterborne diseases by 45% after flood, enhanced air quality surveillance decreased respiratory problems by 38% in dense settlements, and upgraded sanitation infrastructure lowered disease transmission rates by 52% in landslide-prone areas. Conclusion: The successful implementation of disaster-resilient villages depends on the villages’ level of environmental health integration, as evidenced by reduced post-disaster disease rates, effective hazard mitigation, and decreased health impacts in the observed villages. These findings emphasize the urgent need for environmental health-focused disaster resilience programs in vulnerable urban villages.
The influence of physical and non-physical factors on employee well-being in office spaces: A comprehensive study of the work environment A. Subarno, C. D. S. Indrawati, P. Ninghardjanti Iop Conference Series Earth and Environmental Science, 2025 An optimal work environment is crucial for supporting employee well-being, yet the combined influence of physical and non-physical factors on employee well-being is not fully understood. This study aims to examine the impact of physical factors such as air quality, lighting, ventilation, and thermal comfort, as well as non-physical factors such as safety, cleanliness, views, and layout on employee well-being. A quantitative survey method was used with a sample of all employees of the Regional Disaster Management Agency (BPBD), and the data were analyzed using Multiple Regression. The results show significant effects of physical environmental factors on employee well-being (t (35) = 3.600, p = 0.001), non-physical environmental factors on employee well-being (t(35) = 6.128, p = 0.000), as well as the combined effect of physical and non-physical environmental factors on employee well-being (F(2, 32) = 57.045, p = 0.000). These findings emphasize the importance of a holistic approach in designing and managing the work environment to enhance employee well-being. The practical implications of this research include recommendations for improving the quality of the work environment that can be applied by managers and office space designers to create healthier, more comfortable, and more productive workplaces.
Evaluating the impact of AI on the critical thinking skills among the higher education students by combining the TAM model and critical thinking theory Patni Ninghardjanti, Muhammad Choerul Umam, Anton Subarno, Winarno Winarno, Novedi Risanti Langgi, Jumiyanto Widodo Frontiers in Education, 2025 The following research analyzes the relation between the utilization of Artificial Intelligence (AI) tools among university students and their relation with critical thinking skills by combining the Technology Acceptance Model (TAM) model and critical thinking theory. This research introduced the Metacognitive TAM (Meta-TAM) integrated with the Information Systems (IS) Success model as a theoretical innovation. The current research was carried out with a quantitative method approach, with 200 respondents from the Office Administration Education Department, Universitas Sebelas Maret, Indonesia. The research data were analyzed using the SEM with SmartPLS 4.0 software. The key constructs of attitude toward use (ATU), motivation to use (MTU), perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI) were analyzed to assess the primary factors that influence the adoption of the AI-based tools. The findings emphasize that the TAM constructs significantly influenced behavioral intention, whereas critical thinking played a crucial mediating role. The strongest path was observed from attitude toward use to behavioral intention (β = 0.737), which emphasizes the importance of affective and evaluative assessment in students' decision-making. Then, it can be concluded that not only the usability or utility, but also students' strategic thinking, epistemic vigilance, and intellectual autonomy have a significant impact on the AI adoption among higher education students. This study offers practical implications for AI-integrated curriculum design and ethical technology implementation in learning environments. This research contributes a novel perspective to educational technology literature and encourages future cross-cultural, longitudinal studies that examine AI's cognitive impact while safeguarding critical thinking development in diverse academic contexts.
Situational judgment test measures administrator computational thinking with factor analysis Cicilia Dyah Sulistyaningrum Indrawati, Sigit Permansah, Patni Ninghardjanti, Anton Subarno, Winarno Winarno, Dede Rusmana International Journal of Electrical and Computer Engineering, 2024 Computational thinking skills (CTS) play a crucial role across diverse domains, involving a thinking process that allows the execution of solutions by information processing agents. Measuring the level of CTS becomes essential to ensure that administrators effectively leverage technology. However, finding suitable instruments to measure and justify CTS levels in administration can be challenging. The selection of situational judgement test (SJT) is supported by its validity and reliability in assessing attributes, including professionalism. The instrument’s development includes face validity, discriminant validity (using Pearson correlation and Cronbach’s alpha), and exploratory factor analysis (EFA). The study involved 111 undergraduate administration students from various Indonesian universities, and data were collected in 2023. Following a discriminant validity analysis, ten items were eliminated, while 23 met the criteria with p0.185. Subsequently, EFA yielded 16 items forming seven components, covering algorithmic thinking, problem-solving, technology literacy, problem abstraction, problem reformulation, data management in administration technology, and administrative data presentation with loading factor variations (0.421-0.868). The final instrument, consisting of 16 valid items and seven components, effectively evaluates the level of administrator computational thinking skills (ACTS) among administration students.
Factor analysis and leveling of the analytical and planning skills of pre-service college administrators: A study in undergraduate administration Patni Ninghardjanti, Dede Rusmana, Anton Subarno, Winarno, Arif Wahyu Wirawan International Journal of Education and Practice, 2024 The study addresses the crucial yet under-researched analytical and planning skills of pre-service college administrators (APsCA) necessary for effective educational leadership. It pioneers by developing a situational judgment test (SJT) to evaluate these skills, given the absence of suitable assessment tools. Focusing on three constructs—cause/goal analysis, constraint analysis, and planning—the research utilizes exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), along with Fornell's discriminant validity test, to establish and confirm the psychometric properties of the SJT. Through regression and correlation analyses, it assesses the impact of demographic and academic variables on APsCA, particularly highlighting the different effects in urban versus rural environments. The EFA and CFA results with factor loadings above 0.30 and the average variance extracted (AVE) over 0.50 confirm the test's validity. Significant findings reveal a strong influence of urban settings in enhancing APsCA, underscored by a statistical significance of p < 0.05. Administrators' capabilities in cause/goal analysis are predominantly high, whereas constraint analysis varies, and planning skills need bolstering. Overall, the APsCA levels are classified as high to very high, suggesting a promising baseline for future educational leaders but also indicating specific areas for targeted skill development.
Exploring green office buildings at Sebelas Maret University: A study on students' perception A Subarno, Winarno, P Ninghardjanti Iop Conference Series Earth and Environmental Science, 2024 Indoor environmental quality (IEQ) can positively influence occupant satisfaction levels in green-rated buildings. IEQ determines how occupants perceive the interior environment. This study investigated students’ perceptions of green office buildings at Sebelas Maret University. Sixty-eight respondents were involved, consisting of 15 male and 53 female students. Four green office building indicators, namely building features, financial support and commitment, health and well-being, and image and branding, were used as predictor variables, while corporate social responsibility was the dependent variable. Pearson correlation was used for the validation test, and Cronbach’s alpha was used for the reliability test (α = .05). The data were analyzed using multiple regression, taking into account prerequisite tests including normality, linearity, heteroscedasticity, multicollinearity, and autocorrelation. All items were valid and reliable, and all prerequisite tests were met. The results showed that the four independent variables simultaneously have a significant influence on corporate social responsibility (F = 25.78, p < .05). Partially, three predictor variables have significant correlations with the dependent variable: building features (t = 2.86, p < .05), health and well-being (t = 2.03, p < .05), and image and brand (t = 5.16, p < .05). The variables of financial support and commitment have no significant effect on the dependent variable (t = -.32, p > .05). The adjusted R squared value is 0.60, which means that the four independent variables affect the dependent variable by 60%, and 40% is influenced by other variables not included in this study.
Online mail-handling design to support e-Administration in karanganyar Information Japan, 2016
RECENT SCHOLAR PUBLICATIONS
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Environmental awareness as a predictor of pro-environmental behavior: A study of office administration students A Subarno, P Ninghardjanti, MC Umam, Winarno, NR Langgi, J Widodo IOP Conference Series: Earth and Environmental Science 1586 (1), 012013 , 2026 2026
Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret. P Ninghardjanti, A Subarno, MC Umam Research & Practice in Technology Enhanced Learning 21, 1 , 2026 2026 Citations: 3
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Enhancing AI-Powered PowerPoint Skills: Training Impact on Vocational Teachers in Surakarta A Subarno, CDS Indrawati, P Ninghardjanti, W Winarno, MC Umam SPEKTA (Jurnal Pengabdian Kepada Masyarakat: Teknologi dan Aplikasi) 6 (1 … , 2025 2025
The influence of physical and non-physical factors on employee well-being in office spaces: A comprehensive study of the work environment A Subarno, CDS Indrawati, P Ninghardjanti IOP Conference Series: Earth and Environmental Science 1462 (1), 012023 , 2025 2025 Citations: 3
Integrating environmental health into disaster-resilient villages: strategies, challenges, and solutions in Surakarta, Indonesia A Subarno, S Koesuma, S Sukatiman Journal of Environmental Health 71 (5), 60-68 , 2025 2025 Citations: 6
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Situational judgment test measures administrator computational thinking with factor analysis. CDS Indrawati, S Permansah, P Ninghardjanti, A Subarno, D Rusmana International Journal of Electrical & Computer Engineering (2088-8708) 14 (2) , 2024 2024 Citations: 1
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e-Office dan Implementasinya A Subarno, AS Dewi Prosiding Seminar Nasional Pendidikan Administrasi Perkantoran , 2018 2018.0 Citations: 7
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