Article in Press
1. Beyond One Size Fits All: A Systematic Literature Review of Business Process Maturity Models Based on Assessment Units, Design of Purpose, Organizational Size, and Industry Sector Context
Annisa Permatasari Nugraha, Made Andriani
Abstract: A systematic literature review of Business Process Maturity Models (BPMMs) is presented in this study to investigate the differences in the assessment units, purposes of use, applicability to organizational size, and industry sector contexts of existing models. Articles published between 2015 and 2025 were identified from Scopus and Google Scholar in accordance with the PRISMA methodology, resulting in 41 selected studies for the final analysis. The review analyses eight widely recognized BPMMs, including CMMI, BPM-CF, BPMM-FIS, BPMM-HR, PEMM, BPMM-OMG, PMMA, and ISO/IEC 33020:2019, in four analytical dimensions unit of assessment, design of purpose, organizational scale, and industry sector context. Results indicate that 62.5% of models evaluate organizational maturity, 62.5% serve both descriptive and prescriptive functions, and 50% are empirically applicable to both large organizations and small-to-medium enterprises (SMEs). Certain models are more appropriate for SMEs and multisector contexts, while others have been empirically deployed in large organizations with complex process structures. The most robust empirical representation is observed in healthcare and multisector applications, while several models are conceptually developed and have limited sector-specific validation. The study also emphasizes a growing trend in BPMM research toward data-driven process management, digital transformation, and AI-related capabilities. In conclusion, this review emphasizes that BPMMs should not be treated as one-size-fits-all tools but as context-sensitive frameworks that support maturity diagnosis and improvement.
Keywords: Business process maturity model, BPMMs, business process management, systematic literature review, PRISMA.
[Accepted 31 October 2026]
2. Sustainable Industrial Health and Ergonomic Risk Management: A Systematic Review in the Context of Manufacturing Workplaces
Sri Rahayuningsih, Silvi Rushanti Widodo
Abstract: Manufacturing workplaces expose workers to multiple ergonomic and environmental risks that may lead to musculoskeletal disorders, occupational illnesses, and productivity losses. Although various ergonomic assessment methods exist, most remain fragmented and fail to integrate sustainability perspectives. As occupational health deterioration directly undermines workforce capacity, organizational efficiency, and long-term environmental stewardship, integrating risk management within a sustainability framework is critical for ensuring both worker well-being and industrial competitiveness. This study conducts a Systematic Literature Review (SLR) using the PRISMA protocol and PICOS framework to synthesize evidence from 2014–2024 on ergonomic risk management in manufacturing industries. The review screened 3,409 records from the Scopus database, resulting in four full-text studies complemented with bibliometric mapping to identify research clusters. Findings indicate that ergonomic assessment methods are evolving from traditional posture analysis to advanced fuzzy-logic models for measuring Sustainable Decent Work Levels. Emerging frameworks such as ergoecology, which combines environmental and ergonomic determinants, and the Goldilocks Work Paradigm, which embeds optimal physical load in job design, represent innovative but underexplored approaches in manufacturing. The evidence confirms that ergonomic interventions reduce health risks while enhancing productivity and cost efficiency, thereby aligning with sustainability objectives. This research contributes by offering an integrative framework that connects worker health, environmental quality, and organizational performance, providing both theoretical insight and practical guidance for designing healthier, more sustainable manufacturing systems. Future studies are encouraged to validate fuzzy-logic applications, adapt ergoecology to industrial contexts, and pilot Goldilocks-based job designs on the shop floor.
Keywords: ergoecology, ergonomic risk management, fuzzy logic, manufacturing sustainability, systematic literature review
[Accepted 31 October 2026]
3. Prioritization of Hydropower Generating Unit Start-Up Using DEMATEL and Analytic Network Process: A Case Study of Cirata Hydropower Plant
Bhawika Widya Ningprang, Effi Latiffianti
Abstract: Cirata Hydropower Plant (HPP) is one of the largest hydropower plants in Indonesia, with an installed capacity of 1,008 MW consisting of eight generating units. Intensive start-stop operating patterns and the aging condition of the plant, which has been in operation for 30-40 years, create challenges in maintaining unit reliability and maintenance effectiveness. Historical data indicate an imbalance in operating hours among generating units, potentially resulting in over-maintenance, under-utilization, and an increased risk of forced outages. This study aims to develop a start-up priority model for Cirata HPP units using the Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) methods. DEMATEL was employed to identify cause-and-effect relationships among criteria, while ANP was used to determine the priority weights of criteria and sub-criteria. The results show that the Readiness to Operation criterion achieved the highest centrality value of 15.022 and a priority weight of 50%, making it the most influential factor in decision-making. The proposed model provides a more objective, structured, and consistent operational guideline for determining unit start-up priorities. Its implementation has the potential to improve maintenance effectiveness, reduce equipment failure risks, enhance plant reliability, and support sustainable achievement of corporate performance targets.
Keywords: DEMATEL, analytical network process (ANP), hydropower plant, maintenance, start-up priority
[Accepted 31 October 2026]
4. Spatial Electricity Demand Mapping for Supply Planning in the Singhasari Special Economic Zone (SEZ)
Shofin Helmi Bachrudin, Ahmad Rusdiansyah
Abstract: The Singhasari Special Economic Zone (SEZ) requires phase-responsive electricity supply planning because its land-use development generates spatially heterogeneous demand that cannot be adequately represented by the 10 MW aggregate reference stated in PLN’s Electricity Supply Business Plan (Rencana Usaha Penyediaan Tenaga Listrik-RUPTL) 2021-2030. This study develops a spatial decision-support framework to estimate electricity demand, identify load-center migration, evaluate three supply alternatives, and determine when the preferred configuration shifts across four development phases. Electricity demand was estimated using land-use area, activity type, and energy-intensity coefficients. Demand-weighted Kernel Density Estimation (KDE) within a Geographic Information System (GIS) was used to map demand concentrations, while Weighted Overlay analysis evaluated demand coverage, substation reachability, infrastructure capacity, and network scalability. The estimated full-build-out demand reaches 21.32 MW, revealing an 11.32 MW planning gap relative to the aggregate reference and requiring approximately 150 units of 200 kVA distribution transformers under phased deployment. Demand hotspots progressively shift from northern commercial and educational zones toward central and southern mixed-use, industrial, and expansion areas. The Lawang Substation is technically adequate for the first three phases, whereas the integrated Lawang–Sengkaling configuration becomes necessary in the final phase to provide broader spatial coverage and greater expansion flexibility. The proposed framework transforms aggregate demand estimates into phase-specific infrastructure decisions and supports postponing dual-substation deployment until it is technically required. It provides a practical and replicable approach for adaptive electricity planning in rapidly developing and data-limited economic zones.
Keywords: Spatial electricity demand, Kernel Density Estimation, Electricity supply planning, phased infrastructure planning, Special Economic Zone.
[Accepted 31 October 2026]
