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All Journal Hexatech: Jurnal Ilmiah Teknik Majority Science Journal Nomico Journal of Renewable Engineering
Irwanto, Miko Mei
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Transportation

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The Impact of Technological Innovation on The Productivity of The Manufacturing Industry Irwanto, Miko Mei; Rosalia, Olyvia; Firayani, Firayani; Chin, Jacky
Nomico Vol. 2 No. 1 (2025): Nomico-February
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/s83ghe74

Abstract

This study aims to analyze the impact of technological innovation on the productivity of the manufacturing industry. Technological innovation in this research includes the use of the Internet of Things (IoT), artificial intelligence (AI), and automation in production processes. The approach used is quantitative, with a linear regression analysis method to examine the relationship between the independent and dependent variables. This study involves respondents from various manufacturing sectors to gain a comprehensive understanding of the impact of technology on operational efficiency. The research findings indicate that technological innovation has a significant influence on productivity improvement, with each technological component contributing differently to production efficiency. The implications of these findings highlight the importance of digital transformation in the manufacturing industry to enhance competitiveness and operational effectiveness. Additionally, this study recommends workforce training and supportive policies for technology adoption to maximize the benefits of innovation in the industrial sector. This study also opens opportunities for further research by considering other factors such as organizational culture and supply chain integration in supporting technology implementation in the manufacturing industry.
THE IMPACT OF RENEWABLE ENERGY USE ON BIODIVERSITY Irwanto, Miko Mei; Nampira, Ardi Azhar
MSJ : Majority Science Journal Vol. 3 No. 2 (2025): MSJ-MAY
Publisher : PT. Hafasy Dwi Nawasena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61942/msj.v3i2.368

Abstract

The global shift toward renewable energy is a crucial response to the climate crisis, yet it also brings ecological implications that are often overlooked. This study systematically examines the environmental impact of renewable energy infrastructures particularly solar, wind, hydro, and biomass on terrestrial and aquatic biodiversity. A total of ten peer-reviewed articles published between 2020 and 2025 were selected based on their relevance, methodological rigor, and ecological focus. The data were analyzed using a narrative-descriptive approach supported by manual thematic coding to identify recurring ecological patterns and mitigation strategies. The results indicate that solar farms contribute to habitat fragmentation and behavioral disturbances among birds and bats; wind turbines are linked to elevated mortality in flying species; and hydroelectric dams disrupt fish migration and reduce aquatic habitat quality. On the other hand, integrative technologies such as aquavoltaic systems and fish-friendly turbines demonstrate potential for minimizing ecological harm while meeting energy needs. This study contributes a synthesized understanding of how renewable energy infrastructures affect biodiversity across ecosystems and technological contexts. It highlights the importance of spatial planning, context-specific impact assessments, and ecosystem-based mitigation strategies. The findings are expected to inform policymakers, environmental planners, and industry stakeholders in designing renewable energy solutions that align with long-term ecological sustainability.
Analisa perbaikan cacat produk roti tawar spesial dengan metode DMAIC dan FMEA di perusahaan ‘XYZ’ Irwanto, Miko Mei; Wijayanti, Atiek Ike; Pane, Akhmad Fauzi
Hexatech: Jurnal Ilmiah Teknik Vol. 4 No. 2 (2025): Hexatech: Jurnal Ilmiah Teknik
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/hexatech.v4i2.1701

Abstract

Perusahaan ‘XYZ’ merupakan produsen produk roti dengan standar cacat produk sebesar 2%. Namun, pada periode Januari-Juni 2024 tingkat cacat produk melebihi standar yang telah ditetapkan. Penelitian ini bertujuan untuk menganalisis jenis cacat produk dan penyebabnya, serta memberikan solusi perbaikan menggunakan metode DMAIC dan FMEA. Pada tahap DMAIC digunakan diagram pareto untuk mengetahui cacat produk dan dilakukan analisa fishbone, lalu dilakukan perhitungan RPN dalam metode FMEA. Hasil analisis menunjukkan bahwa, jenis cacat terbanyak adalah underweight dengan persentase sebesar 38.1%, yang disebabkan oleh kesalahan operator dalam melakukan setting mesin pemotong adonan dan kurangnya pengecekan rutin (Nilai RPN = 48). Upaya perbaikan dilakukan melalui briefing setiap awal shift kepada para operator, pengecekan berat adonan secara rutin, dan pencatatan hasil kedalam checksheet untuk memudahkan dalam proses monitoring. Tindakan ini berhasil menurunkan tingkat cacat dari 2,41% menjadi 0,97%. Temuan penelitian ini menegaskan bahwa, integrasi metode DMAIC dan FMEA terbukti efektif dalam mengidentifikasi akar penyebab cacat produk, dan menyusun solusi perbaikan berbasis data, sehingga mampu meningkatkan kualitas produk secara signifikan dan berkelanjutan, khususnya pada tahap Improve.
Improving Textile Production Efficiency Through the Implementation of Lean Manufacturing in the Weaving Department Irwanto, Miko Mei
Journal of Renewable Engineering Vol. 3 No. 1 (2026): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/17yqy036

Abstract

This study examines how a customized Lean Manufacturing approach can improve production efficiency in the weaving department of a textile company. Weaving operations frequently experience inefficiencies due to machine downtime, waiting time, excessive operator movement, and product defects, which create a gap between targeted and actual output. A quantitative case study design was applied using direct observation, time study, Value Stream Mapping, production records, and maintenance logs. Lean tools including 5S, Total Productive Maintenance, layout improvement, line balancing, poka yoke, and Kaizen were implemented in a pilot weaving area. The results indicate a significant reduction in machine downtime by 53 percent, waiting time by 59 percent, operator movement by 39 percent, and defect rate by 50 percent. Value Stream Mapping analysis further shows that non value added time decreased substantially while value added time remained stable, leading to a 24 percent reduction in total lead time and a 22 percent increase in daily production output. These findings confirm that Lean Manufacturing, when customized to the characteristics of weaving processes, effectively eliminates waste and enhances workflow. The study concludes that integrating Lean with maintenance and process standardization provides a practical strategy to bridge the gap between production targets and actual performance in textile weaving units.    
Development of High-Performance Engineered Textiles for Medical Applications: A Quality Function Deployment (QFD) Study Irwanto, Miko Mei; Pane, Akhmad Fauzi; Wijayanti, Atiek Ike
Journal of Renewable Engineering Vol. 3 No. 1 (2026): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/0jjcs864

Abstract

The rapid growth of biomedical applications and the increasing demand for advanced healthcare solutions have intensified the need for high-performance engineered textiles in medical contexts. These textiles must simultaneously fulfill stringent clinical, mechanical, biological, and regulatory requirements. This study aims to develop and analyze a Quality Function Deployment (QFD) framework to systematically translate clinical and user requirements into prioritized engineering specifications for medical textile development. A quantitative–descriptive approach was employed using stakeholder surveys, expert interviews, and literature analysis to identify the Voice of Customer (VoC). The House of Quality matrix was constructed to evaluate relationships between customer needs and technical characteristics. The results indicate that biocompatibility, mechanical durability, and antimicrobial performance are the highest-priority customer requirements. Correspondingly, fiber material composition, fabric structure, and surface functionalization emerged as the most critical technical characteristics. The discussion demonstrates that QFD effectively reduces overdesign, enhances cross-disciplinary alignment, and improves resource allocation in product development. In conclusion, QFD provides a structured and strategic framework for optimizing the development of high-performance medical textiles, ensuring alignment between clinical expectations and engineering feasibility while supporting innovation sustainability.  
Optimization of On-Grid Solar Power Plant Design for Urban Residential Areas: Case Study in Indonesia Suseno, Doni; Hikariantara, I Putu; Tahir, Usman; Irwanto, Miko Mei
Journal of Renewable Engineering Vol. 2 No. 3 (2025): JORE - June
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/677h0736

Abstract

The increasing demand for electricity in urban areas of Indonesia demands diversification of sustainable energy sources. On-grid Solar Power Plants (PLTS) are a strategic alternative to reduce dependence on fossil fuels and increase household energy resilience. However, optimizing PLTS design still faces technical and structural challenges, such as the mismatch between panel production capacity and electricity consumption patterns, limited space, and weak regulatory support and fiscal incentives. This study uses a qualitative approach with a case study in an urban housing complex to examine the design process, implementation, and obstacles of on-grid PLTS. Data were obtained through in-depth interviews, field observations, and studies of policy and technical documents. The results of the study indicate that the success of PLTS implementation is highly dependent on a design that is contextual to the technical and social characteristics of housing, the support of fiscal policies such as initial subsidies, and institutional integration between communities, local governments, and the private sector. In addition, community-based approaches such as energy cooperatives can increase inclusive system adoption. This study concludes that on-grid PLTS is not only a technical solution for the clean energy transition, but also an instrument of socio-economic transformation that requires multidimensional synergy in its implementation in the urban environment of Indonesia
Co-Authors Chin, Jacky Firayani, Firayani Hikariantara, I Putu Nampira, Ardi Azhar Pane, Akhmad Fauzi Rosalia, Olyvia Suseno, Doni Tahir, Usman Wijayanti, Atiek Ike