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All Journal International Journal of Education, Language, Literature, Arts, Culture, and Social Humanities Jurnal Penelitian Teknologi Informasi dan Sains
Taryana Taryana
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Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences

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Contemporary Educational Perspective: Howard Gardner And Daniel Goleman's Approach In Cultivating Adaptability And Resilience Taryana Taryana; Muh. Safar; Bernardus Agus Rukiyanto; Mustofa Aji Prayitno
International Journal of Education, Language, Literature, Arts, Culture, and Social Humanities Vol. 2 No. 1 (2024): February : International Journal of Education, Language, Literature, Arts, Cult
Publisher : FKIP, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/ijellacush.v2i1.710

Abstract

Developing adaptability and resilience skills in students is a crucial aspect in preparing them to face the complex dynamics of life. This research explores the contemporary educational perspective with a focus on the approaches of Howard Gardner and Daniel Goleman in shaping students' adaptability and resilience. The literature study method is employed to analyze Gardner's views on Multiple Intelligences and Goleman's Emotional Intelligence concept within the educational context. The analysis highlights the synergies between these two theories in supporting the formation of students' adaptability and resilience in educational environments. The findings of this research are expected to provide practical insights to enhance educational strategies that support holistic development of students' adaptation and resilience across various educational settings. The research results indicate that the integration of both offers a strong foundation for a more comprehensive education, enabling educators to develop strategies that support holistic student growth, not only in academic realms but also in emotional and social aspects. Emphasizing the educator's role as a facilitator and role model in building student resilience, along with the appropriate use of assessments to measure and strengthen resilience, education can create a supportive environment for students to face life's challenges with the confidence and resilience needed.
Estimasi Permintaan Berbasis AI dan E-Commerce: Peran Analitik Big Data, Akurasi Prediksi, dan Optimasi Taryana Taryana; Ahmad Syamil; Soleman Soleman
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 1 (2026): : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i1.4498

Abstract

This study aims to analyze the effect of artificial intelligence (AI)-based demand forecasting and big data analytics on inventory optimization through prediction accuracy among e-commerce actors or marketplace sellers in Curug. This research employed an explanatory quantitative approach involving 100 respondents selected through purposive sampling based on predefined criteria relevant to the research objectives. Data were collected using a structured Likert-scale questionnaire and analyzed using Structural Equation Modeling Partial Least Squares (SEM-PLS) by evaluating the measurement model, structural model, and mediation effects. The findings reveal that AI-based demand forecasting and big data analytics have a positive and significant effect on prediction accuracy. Furthermore, prediction accuracy has a positive and significant effect on inventory optimization and significantly mediates the relationship between AI-based demand forecasting, big data analytics, and inventory optimization. These findings indicate that the integration of AI and big data analytics contributes to more accurate demand prediction, leading to improved inventory management performance. The implication of this study suggests that e-commerce actors should improve data quality, analytical capability, and the adoption of predictive technologies to support more accurate, efficient, and responsive inventory decisions, thereby enhancing operational performance and competitiveness in responding to dynamic market demand.
Co-Authors Ahmad Syamil Bernardus Agus Rukiyanto Muh. Safar Mustofa Aji Prayitno Soleman Soleman