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All Journal Asia-Pacific Management and Business Application Buletin Ilmiah Sarjana Teknik Elektro SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Engineering Science Letter
Mohamad, Effendi
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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 Social Sciences

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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.
A Sentiment Analysis Using Fuzzy Support Vector Machine Algorithm Larasati, Aisyah; Susanto, Yohana Ruth Wulan Natalia; Mohamad, Effendi; Purnama, Agus Rachmad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9363

Abstract

The Ministry of Communication and Information and the Ministry of BUMN of The Republic of Indonesia designed a mobile app “Peduli Lindungi” to be used to help the public and related government agencies in carrying out screening and tracing people's movement to stop the spread of Corona Virus Disease (Covid-19).The existence of a mobile app, “Peduli Lindungi” triggers abundant different sentiments from the Indonesian community, either positive or negative sentiments. Based on the positive sentiment, the government of the Republic of Indonesia may have some feedback about the aspects of the app that should be maintained. In contrast, negative sentiments can be used as initial points of the potential improvement of the mobile app. This study applies a Fuzzy Support Vector Machine (FSVM) model to classify the user's reviews on Peduli Lindungi Application. FSVM can classify customers’ reviews into two or more classes and relatively results in higher accuracy than other classification approaches. The results of this study indicate that the classification of reviews with FSVM produces quite good accuracy  with a value of 77%. A total correct prediction is 2192 reviews out of 2813 reviews.
Review of Industry 4.0 Strategy and Organization Readiness Level of Automotive SME’s in Indonesia Tama, Ishardita Pambudi; Tantrika, Ceria Farela Mada; Hardiningtyas, Dewi; Mohamad, Effendi
APMBA (Asia Pacific Management and Business Application) Vol. 9 No. 3 (2021)
Publisher : Department of Management, Faculty of Economics and Business, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.apmba.2021.009.03.9

Abstract

The focus of Industry 4.0 concept is to integrate production, information technology and the optimal usage of internet. It includes set of tools and applications that utilizing a smart embedded system of machines to perform a certain level of autonomous tasks in industrial system. The ideal infrastructure to perform such concept is remain a big challenge, especially for Small and Medium Enterprises (SMEs). In order to develop strategies which SMEs can get the maximum benefit from Industry 4.0, this study aims to measure their readiness level to adopt the concept. This study was conducted to fill the gap in such area of study, by adopting the “Industrie 4.0 Readiness model” by VDMA. Using survey and interview from 57 SMEs in Indonesia. Various data related with current state of knowledge and strategy implementation of Industry 4.0 were collected. The study concluded that most of the SMEs beyond the sample (56%) were still in the beginner level of adoption, 14% were even in the outsider level, and the rest of them still had no plan for the implementation. This data shows us that the implementation and adoption of Industry 4.0 in SMEs in Indonesia is still at the beginning, which need more attention from the policy and strategy maker to get to more mature level.
Co-Authors Agus Rachmad Purnama Aisyah Larasati Alfian Ma’arif Ali Maksum Asih, Hayati Mukti Ceria Farela Mada Tantrika Choirul Bariyah, Choirul Dewi Hardiningtyas Endah Utami Ihwan Ghazali Irianto Irianto Ishardita Pambudi Tama Muhammad Faishal Okka Adiyanto Semiun, Nasri Susanto, Yohana Ruth Wulan Natalia Tia Tanjung, Tia