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All Journal Oshada Maneggio Journal of Moeslim Research Technik Research of Scientia Naturalis
A, Chevy Herli Sumerli
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemistry Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Physics Other

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The Effect of Change Management on Organizational Adaptability in The Age of Technology Riyadi, Dr. Slamet; Helmita; A, Chevy Herli Sumerli; Anggoro, Yudhi
Maneggio Vol. 1 No. 5 (2024): Maneggio-Oct
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/7dn4vx41

Abstract

This study aims to investigate the influence of change management on organizational adaptability in the technological era. Using quantitative methods and data collection methods using questionnaires involving 110 respondents from various organizations, the results of the analysis show that change management has a significant influence on organizational adaptability. This shows that an organization's ability to manage change, including readiness to face change and a supportive organizational structure, contributes significantly to improving adaptability. By developing a strategy that includes training, an adaptive culture, and cross-functional collaboration, organizations will be better prepared for a complex and fast-changing environment. These findings provide important insights into the role of change management in creating a responsive work environment and open up opportunities for further exploration of factors that can improve organizational adaptability. towards social responsibility and sustainability, contributing to broader economic growth and a better society.
Digital Health Technology: Smart Solutions to Increase Health Awareness Ikhlasiah, Marthia; Kusumawati, Prima Dewi; A, Chevy Herli Sumerli; Kamesyworo, Kamesyworo
Oshada Vol. 2 No. 3 (2025): Oshada Journal - June
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/xhymem46

Abstract

The development of digital technology has brought significant transformation in various sectors, including the health sector. Digital health technology is now present as a smart solution to increase public awareness of personal and public health. Innovations such as mobile-based health applications, wearable devices, artificial intelligence (AI), and telemedicine not only provide easy access to health information, but also enable real-time monitoring of body conditions and personalization of care. This research aims to explore the various forms of digital health technologies that are currently developing and their impact on increasing awareness and healthy living behaviors among the public. Using a literature review approach of various academic sources and recent industry reports, it was found that effective utilization of digital technologies can improve health knowledge, encourage preventive measures, and accelerate early detection of chronic diseases. In addition, these technologies are also proven to be able to reach populations that were previously difficult to reach by conventional healthcare systems, such as people in remote areas or groups with limited mobility. However, challenges such as the digital divide, data security, and digital literacy are still obstacles that need to be overcome to optimize implementation. Overall, digital health technologies offer great opportunities to create a more inclusive, proactive and sustainable health ecosystem
Machine Vision for Quality Control in Halal Food Production: A Deep Learning Approach A, Chevy Herli Sumerli; Farah, Rina; Nizam, Zain
Journal of Moeslim Research Technik Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i3.2351

Abstract

Ensuring the quality and integrity of halal food products has become increasingly important with the growth of the global halal food industry. Conventional quality control methods, which rely on manual inspection and laboratory testing, are often time-consuming, subjective, and prone to human error. This study aims to develop and evaluate a machine vision system powered by deep learning algorithms to automate quality control processes in halal food production. A convolutional neural network (CNN)-based framework was implemented to classify and detect defects, contamination, and non-halal elements in food products. The system was trained using a dataset of 12,500 labeled images collected from halal-certified production facilities, with data augmentation applied to improve model generalization. Performance metrics, including accuracy, precision, recall, and F1-score, were used to evaluate the system. The results demonstrate that the proposed deep learning model achieved 96.8% classification accuracy, with high precision (95.5%) and recall (97.2%), significantly outperforming conventional machine vision techniques. The findings indicate that deep learning-driven machine vision can provide fast, reliable, and scalable quality control, supporting compliance with halal standards while reducing operational costs. This research highlights the potential of artificial intelligence to modernize quality assurance systems in halal food industries.  
Innovation in Sustainable Construction Materials in Green Infrastructure Development A, Chevy Herli Sumerli; Wulan, Kartika Tunjung
Research of Scientia Naturalis Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i3.1570

Abstract

The construction industry significantly impacts environmental sustainability, prompting the need for innovative materials that minimize ecological footprints. Sustainable construction materials play a crucial role in the development of green infrastructure, aimed at enhancing urban resilience and promoting environmental conservation. This study aims to explore various innovative sustainable construction materials and their applications in green infrastructure projects. It seeks to identify the benefits and challenges associated with these materials in promoting eco-friendly building practices. A comprehensive literature review was conducted, analyzing recent advancements in sustainable construction materials, including recycled materials, bio-based composites, and smart materials. Case studies of successful green infrastructure projects utilizing these materials were examined to assess their effectiveness and sustainability. The findings reveal that innovative materials such as recycled concrete, bamboo, and mycelium composites significantly reduce carbon emissions and resource consumption. Case studies demonstrated improved energy efficiency and reduced waste in projects that employed these materials. Challenges related to cost, availability, and regulatory standards were also identified. The research concludes that the integration of innovative sustainable materials is vital for the advancement of green infrastructure. Emphasizing the benefits of these materials can lead to broader adoption in the construction industry. Future research should focus on overcoming the identified challenges and developing standardized guidelines to facilitate the use of sustainable materials in infrastructure projects
Co-Authors Anggoro, Yudhi Farah, Rina Helmita Ikhlasiah, Marthia Kamesyworo, Kamesyworo Nizam, Zain Prima Dewi Kusumawati Slamet Riyadi Wulan, Kartika Tunjung