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Spektrum Industri
Published by Universitas Ahmad Dahlan
ISSN : 16936590     EISSN : 24422630     DOI : https://doi.org/10.12928/si.vxix.xxx
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Spektrum Industri ISSN 1693-6590(print); ISSN 2442-2630(online) is a Journal that publish scientific articles in the science scope related to engineering and/or industrial management both research and theoretical. Literature review will be considered if it is written by an expert.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 90 Documents
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Systematic Literature Review of Sustainable Assessment Model in Vocational Higher Education Suryani, Suryani; Umar Daihani, Dadan; Gustina Amran, Tiena Gustina Amran; Septiani, Winnie
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.459

Abstract

Indonesia prioritizes vocational education to achieve the Golden Indonesia 2045 vision by producing competent, work ready graduates. Despite strategic policies, vocational enrollment remains low relative to academic pathways, and sustainability focused assessment model for vocational higher education are scarce. Therefore, this study aims to map and critically analyze existing sustainability assessment model for vocational higher education using a PRISMA based Systematic Literature Review and bibliometric analysis with VOSviewer. A total of 8,035 records (2018–2024) were retrieved, and the 20 articles that met the inclusion criteria were analyzed for thematic coverage, methodological approach, and integration of sustainability dimensions. The results showed that although many assessment model integrate economic, social, and environmental dimensions partially, few comprehensively addressed work readiness, sustainability literacy, and socio environmental impacts in vocational contexts. Bibliometric mapping further shows a dominance of general higher education studies and an underrepresentation of vocational-specific investigation. This study proposed a contextualized conceptual framework consistent with the Triple Bottom Line (economic, social, environmental) and selected SDG targets characterized by vocational competencies and institutional assessment practices. The framework offers guidance for policymakers and vocational institutions to design assessment systems that improve graduate relevance and institutional sustainability. The study contributes a systematic scientific map and a foundation for empirical testing of the proposed model.
Analysis of Antecedent Factors Influencing the Adoption and Conversion of Two-Wheeled Battery Electric Vehicles (BEVs) in East Kalimantan Province Harits, Dimaz; Ismail Kurnia, Wahyu; Aji Wibowo, Nugroho
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.467

Abstract

The rise in motorcycle ownership in Indonesia has increased energy consumption and greenhouse gas emissions, challenging the country's net-zero target by 2060. To mitigate this, the government is promoting the adoption and conversion of two-wheeled Battery Electric Vehicles (BEVs), but implementation remains below target, implying behavioral factors as a major barrier. This study analyzes the determinants influencing consumer and potential consumer behavior in adopting two-wheeled BEVs in East Kalimantan, a strategic region supporting the Indonesian Capital City. Using the Field Theory framework, the model integrates the Theory of Planned Behavior (TPB), which represents personal factors (Attitude, Subjective Norm, Perceived Behavioral Control, and Intention), and the Electric Vehicle Ecosystem (EVE), which represents environmental factors (Performance, Infrastructure, Price, and Features). Data from 400 respondents were analyzed using SEM-PLS, which explained 65.8% of the variance in adoption intention. The results show that Subjective Norms, Perceived Behavioral Control, Performance, Price, and Features significantly influence intention, while Attitude and Infrastructure do not. These findings reveal that consumers view two-wheeled BEVs primarily as functional alternatives to conventional motorcycles, rather than as environmentally friendly innovations. The contributes of this study is that it extends behavioral research by integrating TPB and EVE into Field Theory, and, practically, it highlights the need for policies that combine economic incentives with behavioral interventions to accelerate BEV adoption in Indonesia.
Performance Analysis of the IndoBERT–Prophet Hybrid Model for Logistics Applications Mulyati, Erna; Maniah, Maniah; Noviana, Noviana; Pardede, Nia
Spektrum Industri Vol. 23 No. 2 (2025): Spektrum Industri - October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i2.480

Abstract

The increasing competition in Indonesia’s logistics sector, particularly in digital courier applications, highlights the need for advanced analytical tools capable of understanding and predicting customer sentiment in real time. However, current sentiment analysis methods often lack contextual depth and predictive capability, limiting their practical value for decision-making. This study aims to develop and validate an integrated analytical framework that combines diagnostic and predictive analytics for logistics performance evaluation. The framework integrates a fine-tuned IndoBERT model for sentiment classification and a Prophet model for time-series forecasting, allowing the analysis of user reviews while accounting for external service disruptions. Empirical validation was conducted using 924 user reviews from the PosAja! application by PT Pos Indonesia. The IndoBERT model achieved an impressive 99.5% accuracy, effectively identifying two main complaint categories: application functionality issues and delivery delays. The Prophet forecasting component successfully modeled sentiment trends, revealing spikes in negative sentiment that strongly correlated with technical service disruptions, such as COD feature failures and server maintenance. The results confirm the framework’s robustness in both diagnosing and forecasting sentiment dynamics. User sentiment proved to be a sensitive real-time indicator of service stability and operational performance. The validated IndoBERT–Prophet hybrid framework provides a novel, data-driven approach for proactive decision-making and continuous service improvement in the logistics industry.
Reverse Engineering of a Submersible Pump Cover Using 3D Scanning and Additive Manufacturing Technology Asep Indra Komara; Dea Ainul Fadhila; Meri Rahmi; Antonius Adi Soetopo; Dede Buchori Muslim; Reza Yadi Hidayat; Muhammad Nahrowi; Uli Wakanda; Paulus Mudji
Spektrum Industri Vol. 24 No. 2 (2026): Spektrum Industri - October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v24i2.588

Abstract

Submersible pumps are commonly used to handle heterogeneous fluids, including water, mud, gravel, and other sediments, particularly in traditional coal mining operations. A submersible pump used by a conventional coal mining company in Bayah City exhibited severe corrosion after approximately one week of service. Corrosion-induced perforations in the pump cover obstruct suction, thereby reducing mining productivity and necessitating weekly replacement. This reverse engineering (RE) study aims to generate accurate product geometry data for further development and to enhance the corrosion resistance of the pump casing beyond one week of operation, thereby improving mining productivity through reduced maintenance downtime. The RE workflow integrates 3D scanning, CAD remodeling, finite element analysis, additive manufacturing (AM), and field testing. The process successfully produced a high-fidelity 3D geometric model of the pump cover suitable for product development and yielded a redesigned pump cover manufacturable via injection molding with a maximum deformation of 0.75 mm and a maximum von Mises stress of 17.6 MPa. Simulation results indicate an outlet water flow rate of 0.2 m³/min, while field testing demonstrates that the improved pump cover can operate for more than six months. This study contributes to the advancement of reverse engineering applications in mining equipment by demonstrating an integrated digital engineering framework that combines 3D scanning, computer-aided design, numerical simulation, additive manufacturing, and field validation to accelerate product redesign and significantly improve the service life of corrosion-prone components. Next research recommendations should focus on material optimization and surface treatment to enhance durability. Innovation opportunities lie in advanced casting routes combined with microstructure control and protective surface coatings to improve performance and service life.
Improving Production Efficiency of NC-212 Aircraft Outer Wing Assembly Using Value Stream Mapping and Kaizen Approach Dwi Adi Purnama; Diyah Dwi Nugraheni
Spektrum Industri Vol. 24 No. 2 (2026): Spektrum Industri - October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v24i2.606

Abstract

Manual aircraft wing assembly is characterized by long lead times, process variability, and waste that reduce production efficiency. This study aims to improve the NC-212 Outer Wing Left-Hand (LH) assembly process by applying lean manufacturing through Value Stream Mapping (VSM), root-cause analysis, and Kaizen-based improvements. Primary data were collected through direct observations, time studies, and interviews across 12 assembly stations. The current-state analysis identified waiting due to pending parts, unnecessary transportation, defects, and manpower imbalance as the dominant sources of waste. Based on Five-Whys and 5W+1H analyses, improvement strategies and takt-time-based workforce allocation were developed to optimize production flow. The proposed future state reduced assembly lead time from 75 to 59 working days (21.3%) and increased average labor utilization to 96.16% through workload balancing and reduced idle time. The main contribution of this study is the application of VSM-based lean improvement integrated with takt-time-based manpower scheduling for a high-mix, low-volume aerospace assembly environment. The proposed framework provides practical guidance for improving workflow synchronization and supporting continuous improvement in aircraft manufacturing systems.
Towards an Integrated Framework of Sustainable Business Strategy Formulation in the Textile Industry: A PRISMA-Based Systematic Literature Review Dini Yulianti Nurhayani; Triwulandari Satitidjati Dewayana; Emelia Sari; Parwadi Moengin
Spektrum Industri Vol. 24 No. 2 (2026): Spektrum Industri - October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v24i2.619

Abstract

The textile industry faces increasing pressure to adopt sustainability strategies in response to environmental, economic, and social challenges. However, sustainability strategy formulation in this sector remains fragmented, particularly in analytical and decision-making approaches. This study aims to systematically review and synthesize methods for sustainable business strategy formulation in the textile industry and to identify integration pathway toward a more coherent approach. A systematic literature review (SLR) using the Preferred Reporting Items for Systematic and Meta Analysis (PRISMA) methods selected 30 relevant journal articles from an initial pool of 646 publications.  The findings reveal that while these methods are frequently applied, their integrated relationship follows a distinct sequential logic: the Internal–External (IE) matrix maps the organizational strategic position, SWOT analysis generates feasible strategic alternatives, Multi-Criteria Decision-Making (MCDM) approaches assign transparent weights to multidimensional sustainability criteria, and the Quantitative Strategic Planning Matrix (QSPM) objectively ranks and prioritizes those alternatives.  Nevertheless, prior studies in the textile sector rarely integrate SWOT, Internal Factor Evaluation (IFE), External Factor Evaluation (EFE), and QSPM within a unified sustainability-oriented framework. Therefore, the novelty of this study lies in synthesizing these fragmented methods into a cohesive conceptual framework tailored specifically to support sustainable business strategy formulation in the textile industry. This study provides an integrated conceptual explanation that connects internal–external analysis with sustainability-oriented strategic prioritization, addressing methodological fragmentation in prior research.  However, it should be noted that this proposed framework remains conceptual and has not yet been empirically validated in real-world textile industry settings.
Modeling Energy Recovery Potential from Municipal Solid Waste: An Ergonomic Community-Based Approach for Sustainable Energy Systems Heri Setiawan; Tri Budiyanto; Micheline Rinamurti; Deddy Permana; Bonifasius Ferdinandus Bangun; Dominikus Budiarto; Yohanes Dicka Pratama; Achmad Alfian; Theresia Sunarni; Evelyn Agustin
Spektrum Industri Vol. 24 No. 2 (2026): Spektrum Industri - October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v24i2.639

Abstract

Municipal solid waste (MSW) management in developing cities is often assessed using waste-to-energy (WtE) models that emphasize technical parameters while overlooking segregation quality, ergonomic performance, and community participation. This study develops and validates a MATLAB-based framework that integrates these human-centered operational factors with waste composition and technology-specific conversion efficiencies. Palembang, Indonesia, was used as a case study because organic waste accounts for 63.45% of its MSW. The model combined waste characterization, proximate and ultimate analyses, and three conversion pathways: anaerobic digestion, incineration, and gasification. Energy recovery was evaluated under varying segregation, ergonomic, and participation scenarios, followed by sensitivity analysis and comparison with selected ASEAN city data. Under current collection conditions of 950-1.200 t/day, the hybrid system was estimated to produce approximately 358 GWh/year. Anaerobic digestion provided the most sustainable long-term contribution, while incineration and gasification supplied complementary recovery from high calorific fractions. Waste composition, segregation efficiency, and operational performance were the dominant determinants of energy output. The proposed framework improves the realism of conventional WtE assessments by quantitatively linking technical performance with ergonomic and community factors. The findings support source segregation, ergonomic waste handling systems, and decentralized anaerobic digestion as priority strategies for sustainable urban energy planning. The framework therefore offers a practical decision support tool for aligning waste management, renewable energy generation, and emission reduction.
Trends of Research on Product Quality Model in Sustainable Supply Chain of Automotive Component Industry: Bibliometric Analysis Zeny Hunusalela; Parwadi Moengin; Iveline Anne Marie; Rina Fitriana; Nadiah Ahmad
Spektrum Industri Vol. 24 No. 2 (2026): Spektrum Industri - October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v24i2.644

Abstract

Product quality is a crucial factor that must be maintained throughout the automotive component supply chain. Previous research has generally examined quality management, sustainable supply chain management (SSCM), and digital technologies in the automotive industry, but these topics are still discussed separately. This study aims to map research trends, influential publications, keyword relationships, research gaps, and future research directions related to supply chain quality models in the automotive component industry. A Systematic Literature Review (SLR) combined with bibliometric analysis was conducted using PRISMA-based screening, VOSviewer and R-based bibliometric tools. The results show that publication activity has increased rapidly and is the highest in 2023. Key analysis shows a shift from conventional quality management to digital nutu management supported by Lean-Industry 4.0 integration, Blockchain-based traceability, and sustainable supply chains. The research gap lies in the absence of an integration model that links quality management, SSCM, and printed technology in the automotive supply chain. The main contribution of this research is to map the relationship between these dimensions and clarify the role of strategy in supporting product quality, supply chain sustainability, and digital technology. In addition, this research provides the basis for further research to develop and validate an integrated framework for quality management in sustainable automotive supply chains and supported by digital technology.  
Integrating Competitive Strategy and Sustainable Business Model Design for Retail Business Development Muhammad Ridho Febrianto; Wawan Kurniawan; Annisa Dewi Akbari; Emelia Sari; Ratna Mira Yojana; Anas Saifurrahman
Spektrum Industri Vol. 24 No. 2 (2026): Spektrum Industri - October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v24i2.647

Abstract

Retail MSMEs are increasingly challenged by competition from modern minimarkets, changing consumer shopping behavior, and growing sustainability expectations. Despite the widespread use of strategic analysis tools, studies integrating competitive strategy formulation with sustainable business model design remain limited, particularly for retail MSMEs. This study proposes an integrative framework for developing competitive and sustainable business strategies using evidence from Ridho Retail Store, a retail MSME in Indonesia. A mixed-method case study approach was employed, combining interviews, field observations, and business performance data. The findings indicate that Ridho Retail Store achieved an Internal Factor Evaluation (IFE) score of 2.70 and an External Factor Evaluation (EFE) score of 2.90, placing the business in Cell V of the IE Matrix, which suggests a hold and maintain strategy through gradual improvement. The proposed strategy emphasizes service differentiation through delivery services, stronger community engagement, and sustainability-oriented initiatives supported by a phased implementation roadmap. This study demonstrates how competitive strategy formulation can be systematically integrated with sustainable business model design to strengthen long-term competitiveness and sustainability in a retail MSME, providing a practical framework that can be adapted by similar small retail businesses.
Assessing Technological Sophistication of Energy Distribution Warehouses Using a Technometric Framework Putri Khosuma; Alva Edy Tontowi
Spektrum Industri Vol. 24 No. 2 (2026): Spektrum Industri - October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v24i2.653

Abstract

Warehousing plays a critical role in energy distribution systems, where operational reliability depends on technological sophistication. However, structured and quantitative approaches for assessing technological capability in energy distribution warehouses remain limited. This study aims to evaluate the technological sophistication of a real-world energy distribution warehouse using a technometric-based measurement instrument. The novelty of this research lies in the empirical application of a specialized technometric instrument for multidimensional warehouse technology assessment. A quantitative case study approach was employed using five assessment components: warehouse facility, warehouse operation, warehouse maintenance, warehouse product, and warehouse human and organization. Technological sophistication was evaluated using State of the Art (SOTA), component contribution, and Technology Contribution Coefficient (TCC) analyses. The results showed a TCC value of 0.456, indicating a semi-modern level of technological sophistication. The findings reveal an imbalance in technological development across warehouse components and identify priority areas for improvement. This study demonstrates the usefulness of technometric assessment in supporting technology development and modernization planning in energy distribution warehouses.

Page 8 of 9 | Total Record : 90

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