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All Journal Scripta Technica: Journal of Engineering and Applied Technology Inventa: Journal of Science, Technology, and Innovation Sapientia Diversalis: Journal of Human Interaction and Social Studies Scientia Causa: Journal of Contemporary Pedagogy and Learning Science
Yassine HADDIOUI
University Mohamed V in Rabat
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Predictive Maintenance Optimization Using Machine Learning for Industrial Equipment Reliability Yassine HADDIOUI; Irwandi Rizki Putra
Journal of Engineering and Applied Technology Vol 2 No 2 (2026): : December: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/49g3mw80

Abstract

Predictive maintenance models are often evaluated primarily as classifiers, although practical maintenance decisions depend on the relative consequences of preventive interventions and missed failures. This study develops a reliability-oriented predictive maintenance framework that integrates machine-learning failure probabilities with cost-sensitive maintenance thresholds. A reproducible simulation of 80,000 industrial-equipment cycles was constructed from the documented process envelopes and failure mechanisms of the AI4I 2020 benchmark, while the original UCI dataset was used only as a calibration reference. Six raw operating variables were supplemented with temperature difference, mechanical power, and a type-adjusted wear–torque index. Four classifiers—logistic regression, random forest, extra trees, and XGBoost—were evaluated using stratified training, validation, and independent test partitions. Random forest achieved the strongest test PR-AUC of 0.967, ROC-AUC of 0.989, F1 of 0.965, and MCC of 0.964. Incorporating physics-derived variables increased PR-AUC from 0.943 to 0.966 and reduced the Brier score from 0.0088 to 0.0035. Cost-sensitive thresholds reduced normalized maintenance costs by 46.3–88.9% relative to reactive maintenance across failure-to-preventive-maintenance cost ratios of 2:1 to 20:1. Moderate sensor perturbations preserved predictive performance, whereas 10% standard-deviation noise substantially reduced PR-AUC and recall. These findings demonstrate that predictive performance, engineering-informed feature design, sensor robustness, and maintenance economics should be evaluated jointly before industrial deployment.    
Digital Infrastructure and Renewable Electricity Profiles in ASEAN: A Data-Driven Comparative Analysis Yassine HADDIOUI; Ahmad Budi Trisnawan; Irwandi Rizki Putra; Mazahir Hussain
Journal of Science, Technology, and Innovation Vol 2 No 2 (2026): : December: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/wg34zw21

Abstract

This study develops a comparative technology–energy profile of ten ASEAN economies using fixed broadband subscriptions, renewable electricity generation, and annual GDP per capita growth. Rather than estimating causal relationships from a small cross-sectional population, the study applies standardized-distance profiling to identify country configurations and examine how digital connectivity, renewable electricity penetration, and short-run economic dynamics coexist. The dataset combines internationally comparable indicators from the International Telecommunication Union, World Bank, Ember, and Our World in Data, using the most recent comparable observations available for 2024–2025. Each indicator is standardized through z-scores, and countries are classified according to their Euclidean distance from analytically defined reference profiles. The results identify three empirical configurations characterized by different combinations of connectivity, renewable electricity, and economic growth. Viet Nam displays relatively strong performance across all three dimensions, while Laos combines very high renewable electricity penetration with limited fixed broadband infrastructure. Singapore and Brunei demonstrate relatively strong connectivity alongside comparatively low renewable electricity shares. The findings indicate that digital infrastructure and energy transition are interconnected but non-equivalent dimensions requiring differentiated comparative analysis.  
Community Participation, Institutional Trust, and Collective Resilience in Times of Social Change: Understanding the Formation of Sustainable Community Cohesion Edward Francis G. Gabor; Yassine HADDIOUI; Mona Anju Sansena; Dilli Ram Rai
Journal of Human Interaction and Social Studies Vol. 1 No. 4 (2026): : November: Sapientia Diversalis: Journal of Human Interaction and Social Studi
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/bhetn303

Abstract

This study investigated how community participation, institutional trust, and collective resilience interacted in the formation of sustainable community cohesion during periods of social change. A corpus-based thematic co-occurrence analysis was conducted on 33 foundational and contemporary sources spanning social capital, collaborative governance, public trust, disaster resilience, co-production, and social sustainability. Each source was coded for participation, generalized trust, institutional trust, bonding ties, bridging ties, linking ties, collective efficacy, adaptive capacity, and cohesion. The analysis showed that participation alone was not sufficient to produce cohesion when institutions were perceived as unresponsive or procedurally unfair. Institutional trust had its strongest relational role when citizens experienced credible public performance, voice, and reciprocal accountability. Resilience literature consistently connected recovery capacity with dense local ties, bridging connections, and access to institutions beyond the immediate community. Co-occurrence patterns placed participation, trust, and social capital at the center of the evidence network, while adaptive capacity and cohesion appeared as downstream outcomes. The findings supported a layered cohesion model in which resilient communities combined horizontal solidarity with vertical institutional linkages and meaningful opportunities for participation.
Inclusive Teaching Practices and Classroom Participation: Examining the Role of Teacher Readiness, Differentiated Instruction, and Academic Belonging among Diverse Learners Dilli Ram Rai; Edward Francis G. Gabor; Yassine HADDIOUI; Fu'ad Sholikhi
Journal of Contemporary Pedagogy and Learning Science Vol. 1 No. 4 (2026): : November: Scientia Causa: Journal of Contemporary Pedagogy and Learning Scien
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/5r1pys21

Abstract

Inclusive teaching requires instructional responsiveness that supports participation without separating learners by ability or background. This comparative study examined teacher support, differentiated instructional responsiveness, and academic belonging across six Southeast Asian education systems using publicly available PISA 2022 indicators. Student-reported teacher interest, extra help, school belonging, loneliness, and outsider status were analysed descriptively against OECD reference values, with country-level pattern comparison used to identify configurations of support and participation. Teacher interest ranged from 57% to 79%, while extra help ranged from 64% to 86%. Belonging ranged from 73% to 86%, showing that strong social connection did not always coincide with the highest instructional-support indicators. Indonesia displayed high belonging despite below-OECD teacher-support measures, whereas Singapore combined very high extra help with belonging slightly below the OECD benchmark. The results indicate that inclusive participation depends on both instructional responsiveness and relational school conditions. Policy attention should connect teacher preparation for differentiation with routines that cultivate belonging, reduce exclusion, and sustain active participation among diverse learners.
Co-Authors Dilli Ram Rai Edward Francis G. Gabor Fu'ad Sholikhi Irwandi Rizki Putra Mazahir Hussain Mona Anju Sansena Trisnawan, Ahmad Budi