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All Journal Buletin Ilmiah Sarjana Teknik Elektro SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Engineering Science Letter
Mohamad, Effendi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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A Systematic Review on Industrial 4.0 Readiness for Environmental Sustainability Considering Cultural Influences Semiun, Nasri; Ghazali, Ihwan; Mohamad, Effendi; Tanjung, Tia
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.00735

Abstract

 This systematic literature review (SLR) investigates the development of sustainability guidelines tailored for Industry 4.0, emphasizing the influence of cultural factors and the multidimensionality of existing sustainability models. Industry 4.0 represents a pivotal shift in industrial operations, integrating advanced technological innovation with a human-centric focus to achieve sustainability goals. Cultural factors, however, play a crucial role in shaping the success of such initiatives. This research examines how the various dimensions of sustainability models are influenced by cultural considerations and provides a comprehensive analysis of their impact on Industry 4.0 readiness. The findings of the SLR underscore that aligning technology with local cultural values, engaging stakeholders across diverse societal levels, and fostering capacity-building through culturally relevant training and education are vital to enhancing the effectiveness of sustainability practices. The proposed guidelines advocate for incorporating cultural analysis during the early planning phases, developing culturally sensitive communication strategies, formulating adaptable and flexible policies, and promoting international collaboration that respects cultural diversity. This study contributes valuable insights into the dynamic interplay between cultural influences and sustainability within the Industry 4.0 framework, emphasizing the importance of culturally responsive strategies for achieving enduring sustainable outcomes.
Application of Natural Dyeing Technology through Eco-print for Eco-Friendly Textile Production in the Bantul Region Adiyanto, Okka; Utami, Endah; Bariyah, Choirul; Faishal, Muhammad; Mohamad, Effendi; Maksum, Ali
SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Vol. 6 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/spekta.v6i1.13688

Abstract

Background: Bantul Regency in Indonesia has strong potential to develop a sustainable creative economy through local crafts. However, many MSMEs still use synthetic dyes that harm the environment. This program aimed to introduce Eco-print, a natural dyeing technique using local leaves and flowers. Contribution: The initiative raised awareness about sustainable production, built technical skills, and encouraged home-based creative enterprises. It supported the community in adopting local resource-based innovations while promoting environmental responsibility and cultural expression. Method: This program using a Community Development approach, with six stages: needs assessment, collaborative planning, Eco-print training, mentoring, and evaluation. Training activities included plant identification, motif design, and natural dye fixation, conducted with the KSS Berkah Bersama community. Results: Post-training assessments showed a significant improvement in knowledge and skill, with test scores increasing from 40–50 to 80–90. Participants produced eco-friendly tote bags and expressed interest in continuing independent production and marketing efforts. Conclusion: The program effectively built sustainable textile skills, empowered community members through practical innovation, and supported inclusive local economic development rooted in environmental values and cultural identity.
A Comprehensive Review of Optimization Techniques in Industrial Applications: Trends, Classifications, and Future Directions Asih, Hayati Mukti; Mohamad, Effendi; Irianto, Irianto; Ma’arif, Alfian
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13261

Abstract

In recent years, optimization techniques have played a central role in enhancing operational efficiency and decision-making across diverse industrial sectors, including manufacturing, logistics, and transportation, energy, healthcare, and agriculture. These sectors face complex, large-scale, and often nonlinear challenges that demand both precision and adaptability. The research contribution of this review is to provide a structured classification of optimization methods—namely exact algorithms, heuristics, metaheuristics, and AI-integrated hybrid models—and to critically evaluate their practical applications, limitations, and emerging trends across industries. This study adopts a review approach to identify and compare those techniques in solving various optimization problems. Through a detailed analysis of over 30 recent publications for last four years, the review highlights how these techniques are being applied in real-world industrial environments, including cold chain logistics, smart energy systems, precision agriculture, and healthcare scheduling. The results indicate a growing reliance on hybrid and AI-enhanced models due to their superior scalability, adaptability, and potential alignment with Industry 4.0 and Sustainable Development Goals (SDGs). However, challenges remain in areas such as computational efficiency, model interpretability, and real-time data integration. In conclusion, this study provides valuable insights for both researchers and practitioners seeking to apply optimization techniques more effectively in industrial systems, while also identifying critical research gaps for future exploration by addressing the growing complexity and sustainability demands of modern industry.
Co-Authors Alfian Ma’arif Ali Maksum Asih, Hayati Mukti Choirul Bariyah, Choirul Endah Utami Ihwan Ghazali Irianto Irianto Muhammad Faishal Okka Adiyanto Semiun, Nasri Tia Tanjung, Tia