Haerawan, Haerawan
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Pengembangan Geosains Berkelanjutan melalui Green Mining dan Pemanfaatan Sumber Daya Sirkular Nofirman, Nofirman; Haerawan, Haerawan
Jurnal Geosains West Science Vol 3 No 03 (2025): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v3i03.2809

Abstract

Integrasi keberlanjutan ke dalam ilmu kebumian mewakili agenda transformatif bagi pengelolaan sumber daya modern. Studi ini melakukan tinjauan literatur sistematis (SLR) terhadap sepuluh dokumen ilmiah dari Google Scholar (2013–2024) untuk mensintesis pendekatan, inovasi, dan tantangan terkini terkait pertambangan hijau dan pemanfaatan sumber daya sirkular sebagai pilar pengembangan ilmu kebumian yang berkelanjutan. Menggunakan metodologi yang dipandu PRISMA dan sintesis tematik, tinjauan ini mengidentifikasi tiga tema penelitian dominan: (1) inovasi teknologi dalam pertambangan hijau, (2) pemanfaatan sumber daya sirkular dan pemulihan material, serta (3) tata kelola dan integrasi kebijakan untuk transformasi berkelanjutan. Temuan menunjukkan bahwa teknologi pertambangan hijau—seperti sistem energi terbarukan, otomatisasi, dan bioleaching—secara signifikan mengurangi jejak lingkungan, sementara pemanfaatan sumber daya sirkular meningkatkan efisiensi material melalui daur ulang dan pemanfaatan kembali limbah. Namun, tantangan tetap ada dalam hal konsistensi regulasi, inklusi sosial-ekonomi, dan standarisasi metrik keberlanjutan. Studi ini mengusulkan model integratif di mana inovasi teknologi, praktik ekonomi sirkular, dan kerangka kerja tata kelola bersinergi untuk membentuk evolusi geosains berkelanjutan. Tinjauan ini memberikan kontribusi teoretis dengan menghubungkan perspektif berbasis sumber daya dan transisi keberlanjutan, serta memberikan wawasan praktis bagi pembuat kebijakan, pemimpin industri, dan peneliti dalam mengembangkan sistem georesource rendah karbon dan sirkular.
The Effectiveness of Interactive Videos in Increasing Student Engagement in Online Learning Haerawan, Haerawan; Cale, Woolnough; Barroso, Uwe
Journal of Computer Science Advancements Vol. 2 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i5.1322

Abstract

The shift towards online learning has highlighted the need for innovative approaches to maintain student engagement. Traditional video lectures often fail to captivate students, decreasing attention and learning outcomes. Interactive videos incorporating quizzes, clickable hotspots, and branching scenarios have emerged as a potential solution to this challenge. This study aimed to evaluate the effectiveness of interactive videos in increasing student engagement in online learning environments compared to traditional video lectures. Additionally, it sought to identify the most impactful interactive elements and their correlation with learning outcomes. A mixed-methods approach was employed, involving 200 undergraduate students from diverse disciplines. Participants were randomly assigned to either an experimental group using interactive videos or a control group using traditional video lectures for a 6-week online course. Data collection methods included pre-and post-tests, engagement metrics (time spent, interaction frequency), and qualitative feedback through surveys and focus group discussions. Results demonstrated a significant increase in student engagement for the interactive video group, with 45% higher interaction rates and 30% longer viewing times than the control group. Quiz-based interactions and branching scenarios were found to be the most effective elements. Moreover, the experimental group showed a 25% improvement in learning outcomes as measured by post-test scores. In conclusion, this study provides strong evidence for the efficacy of interactive videos in enhancing student engagement and learning outcomes in online education. These findings suggest that incorporating interactive elements into video content can significantly improve the online learning experience, offering educators a valuable tool to address engagement challenges in digital learning environments.
The Influence of Artificial Intelligence Technology on User Experience in E-Business Haerawan, Haerawan; Mudinillah, Adam; Zou, Guijiao; Anggara, Reddy
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1623

Abstract

The rapid advancement of artificial intelligence (AI) technology has transformed the landscape of e-business, significantly influencing user experience. AI-driven tools such as chatbots, personalized recommendations, and predictive analytics are becoming integral to e-business platforms. Despite widespread adoption, understanding the extent to which AI enhances user satisfaction, engagement, and loyalty remains an area requiring further exploration. This research examines the influence of AI technology on user experience in e-business, focusing on its practical applications and user perceptions. The study adopts a mixed-method approach, combining quantitative surveys with qualitative interviews. Data were collected from 300 e-business users and analyzed to assess key metrics such as usability, efficiency, and satisfaction. Additionally, in-depth interviews with industry experts provided insights into the strategic implementation of AI technologies. The findings reveal that AI significantly enhances user experience by offering personalized interactions, streamlining navigation, and improving response times. Users reported higher satisfaction levels when AI-driven features were implemented effectively. However, concerns about data privacy and algorithmic biases emerged as critical challenges, indicating the need for balanced approaches in AI deployment. The study concludes that while AI technology holds immense potential to revolutionize user experience in e-business, its effectiveness depends on strategic implementation and addressing user concerns. Future research should explore the integration of AI with other emerging technologies to further optimize user interactions in digital environments.