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All Journal West Science Business and Management West Science Social and Humanities Studies West Science Nature and Technology Aksioma Education Journal Journal Emerging Technologies in Education International Journal of Language and Ubiquitous Learning
Nur Hakim
Akademi Maritim Pembangunan Jakarta
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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A Bibliometric Analysis of Sustainable Software Development's Contribution to Green Technology Loso Judijanto; Usman Tahir; Nur Hakim; Weda Febriyanto
West Science Social and Humanities Studies Vol. 2 No. 08 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i08.1215

Abstract

This study presents a bibliometric analysis of the literature on sustainable software development and its contribution to green technology. By analyzing data from Google Scholar, this research identifies key trends, influential authors, and significant publications that have shaped the field from 1971 to 2024. The analysis reveals the increasing integration of sustainability principles within software engineering practices, emphasizing the critical role of green technologies in reducing the environmental impact of software systems. The study highlights the evolution of research focus towards energy-efficient coding, green data centers, and sustainable software frameworks, reflecting the growing importance of technology in achieving global sustainability goals. The findings also underscore the value of interdisciplinary collaboration in advancing the field, as evidenced by the diverse connections between technological, environmental, and economic themes. This research provides a comprehensive overview of the current state of sustainable software development and offers insights into future research directions that can further enhance the contribution of software engineering to environmental sustainability.
Analysis of Plant Watering Efficiency Using IoT Technology Controlled Through Google Assistant Nur Hakim; Muhammad Hazmi; Syam Gunawan; Arnes Yuli Vandika; Hanifah Nurul Muthmainah
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1296

Abstract

This paper presents a systematic literature review (SLR) of 120 academic documents sourced from the Scopus database, which analyses the efficiency of crop watering systems utilizing Internet of Things (IoT) technology controlled via Google Assistant. The review explores key advances in IoT-based irrigation systems, highlighting how real-time data from sensors and voice-controlled automation improve water efficiency and user experience. The findings reveal that IoT systems can reduce water wastage by 25-30%, optimise plant health, and offer convenience through voice commands. However, challenges such as connectivity issues, high implementation costs, and system maintenance complexity also need to be addressed. This paper discusses potential future research directions, including scalability, AI integration, and cost-effective solutions to expand the adoption of these technologies in agriculture and horticulture.
The Role of Innovation Management in Creative Economy-Based Product Development in West Java Province Nur Hakim; Juni iswanto; Eko Sudarmanto
West Science Business and Management Vol. 2 No. 03 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i03.1275

Abstract

This study conducts a comprehensive bibliometric analysis of the field of entrepreneurial ecosystems, mapping the evolving landscape of research from 1995 to 2024. Utilizing VOSviewer for visual network analysis, the research identifies central themes, examines co-authorship and institutional collaboration networks, and highlights the temporal progression of key topics. The findings reveal "entrepreneurial ecosystem" as a nexus connecting diverse research themes such as innovation, economic growth, and sustainability. Significant emphasis is placed on the integration of digital technologies and sustainability within entrepreneurial practices, reflecting shifting academic and practical priorities. The analysis of co-authorship networks shows robust collaboration among leading scholars and institutions, predominantly from Western regions, with increasing contributions from a global cohort. The study underscores the importance of incorporating diverse perspectives to fully understand the multifaceted nature of entrepreneurial ecosystems and suggests future research directions focusing on digital transformation and sustainability in entrepreneurship.
Implementation of the Realistic Mathematics Education (RME) Approach in Geometry Learning in Secondary Schools Nur Hakim; Apriyanto Apriyanto; Mardiati Mardiati; Ediaman Sitepu
Aksioma Education Journal Vol. 1 No. 3 (2024): September-AEJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/rgn3w339

Abstract

This study aims to analyze the implementation of the Realistic Mathematics Education (RME) approach in geometry learning in secondary schools. Realistic Mathematics Education, which emphasizes mathematics learning through relevant contexts and students' real experiences, aims to improve students' understanding and skills in geometry. This study evaluates the effectiveness of the implementation of RME and identifies various challenges and potential solutions in its implementation. The method used is a literature review that includes studies related to the implementation of RME in geometry learning. The results of the analysis show that RME can improve students' understanding of geometric concepts by linking materials to everyday situations, thereby motivating and involving students more actively in the learning process. This approach helps students link theory to real practice, deepen their understanding, and develop problem-solving skills. There are challenges such as teacher readiness, limited resources, and limited time allocation, recommendations to improve teacher training, develop supportive policies, and provide adequate resources can help overcome these problems. With the right strategy and adequate support, RME has great potential to improve the quality of geometry learning in secondary schools and have a positive impact on student learning outcomes
Personalizing Learning Paths: A Study of Adaptive Learning Algorithms and Their Effects on Student Outcomes Nur Hakim; Bella Jastacia; Ahmed Al- Mansoori
Journal Emerging Technologies in Education Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v2i4.1365

Abstract

Background. In recent years, the demand for personalized learning experiences has increased, particularly in the context of adaptive learning algorithms that cater to individual student needs. However, there is still a lack of comprehensive studies that evaluate the effectiveness of these algorithms on student outcomes. This study seeks to address this gap by examining how adaptive learning algorithms can personalize learning paths and improve academic performance. Purpose. The research aims to explore the correlation between the implementation of these algorithms and student engagement, retention, and success rates. Method. To achieve this, a quantitative research method was employed, involving the collection of data from 200 students in an online learning environment. The students were divided into two groups: one using a traditional learning model and the other exposed to adaptive learning algorithms. Student outcomes, including engagement metrics, test scores, and retention rates, were tracked over a semester. Results. The results revealed a significant improvement in student engagement and academic performance in the group that utilized adaptive learning algorithms compared to the traditional learning group. Moreover, students in the adaptive learning group demonstrated higher retention rates and greater satisfaction with their learning experiences. Conclusion. In conclusion, the study suggests that adaptive learning algorithms play a crucial role in enhancing personalized learning paths, ultimately leading to improved student outcomes. These findings highlight the importance of integrating adaptive technologies in modern educational systems to foster more effective learning environments.
Ubiquitous Learning Environments and Language Mastery: Designing Adaptive Platforms for 21st-Century Language Learners Nur Hakim; Samuel Tuan; Esther Allen
International Journal of Language and Ubiquitous Learning Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v4i3.3861

Abstract

Background. Ubiquitous learning environments (ULEs) have become a cornerstone in modern education, driven by the increasing use of digital technologies and mobile devices. These environments allow for continuous learning, enabling students to engage with educational content anytime and anywhere. In the context of language learning, ULEs present unique opportunities to enhance language mastery by providing adaptive, context-aware platforms that cater to the dynamic needs of 21st-century learners. However, the design and implementation of such platforms remain underexplored, particularly in how they can be optimized for language acquisition. Purpose. This study aims to design and evaluate adaptive language learning platforms within ubiquitous learning environments that support the development of language mastery. The research focuses on creating a dynamic platform that adjusts to learners’ needs, context, and progress, thereby fostering an engaging and personalized learning experience. Method. The study uses a mixed-methods approach, combining the design of a prototype adaptive language learning platform with empirical data collection from language learners using the platform. Participants’ language proficiency, engagement, and learning outcomes were assessed through pre- and post-tests, usage analytics, and surveys. Results. omes were assessed through pre- and post-tests, usage analytics, and surveys. The findings indicate that learners using the adaptive platform demonstrated significant improvements in language proficiency, particularly in speaking and listening skills. Additionally, learners reported higher engagement and satisfaction levels compared to traditional language learning methods. Conclusion. Adaptive platforms in ubiquitous learning environments can significantly enhance language learning outcomes by providing personalized and flexible learning experiences. Future research should focus on further optimizing these platforms for diverse learner populations.
Co-Authors Ahmed Al- Mansoori Apriyanto Apriyanto Arnes Yuli Vandika Bella Jastacia Ediaman Sitepu Eko Sudarmanto Esther Allen Hanifah Nurul Muthmainah Hazmi, Muhammad Juni iswanto Loso Judijanto Mardiati Mardiati Samuel Tuan Syam Gunawan Usman Tahir Weda Febriyanto