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Techne: Journal of Engineering, Technology and Industrial Applications
Published by Kalam Practica Media
ISSN : -     EISSN : 31246559     DOI : -
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation
Techne: Journal of Engineering, Technology and Industrial Applications is a peer-reviewed open-access journal dedicated to advancing scholarly work in engineering, applied technology, and industrial innovation. Techne publishes high-quality empirical research, technical reports, experimental studies, design analyses, case studies, and emerging technology reviews that contribute to the development and application of engineering solutions. The journal aims to bridge academic research and real-world technological practices by providing a platform for researchers, engineers, practitioners, and industry experts to disseminate new insights. Techne encourages submissions that demonstrate originality, methodological rigor, and practical value in supporting technological growth and industrial problem-solving. All submitted manuscripts undergo an objective and constructive review process conducted by experts in relevant fields. Techne is published by the Kalam Practica Research Group and operates under an open-access policy to ensure global accessibility of scientific knowledge. Scopes include (but are not limited to): Mechanical, electrical, and civil engineering Industrial systems and manufacturing technology Information technology and applied computing Automation, robotics, and control systems Energy systems and sustainable engineering Material science and industrial design Geospatial engineering and technical instrumentation Innovation, prototyping, and applied industrial research Techne welcomes interdisciplinary works and studies that integrate engineering with technology-driven industrial applications.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 42 Documents
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Thermal Reliability Engineering in Cold Chain Logistics: Quantifying Time–Temperature Exposure, Packaging Performance, and Spoilage Risk in Distribution Networks Somsak Kittisak Somsak Kittisak; Kanya Rattanapong Kanya Rattanapong
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This article presents an applied thermal reliability framework that links distribution operations to product risk using engineering metrics that can be measured and governed in practice. The framework combines (i) a time–temperature exposure model using exceedance time and mean kinetic temperature as reliability indicators, (ii) a packaging thermal performance model that represents insulation and refrigerant buffering as a transient heat transfer system, and (iii) a product degradation and spoilage risk model based on temperature-accelerated kinetics. A scenario-based quantitative study is developed for representative distribution networks including cross-docking, refrigerated line-haul, and last-mile delivery, with comparisons across packaging tiers and monitoring-control strategies. Results show that the dominant drivers of spoilage risk are not average temperature or nominal setpoints, but the upper-tail of exposure created by dwell-time uncertainty, door openings, and staging delays, and that packaging upgrades and sensor-triggered interventions reduce risk most effectively when applied to the highest-variance legs rather than uniformly across the network. The paper concludes with implementable guidance for risk-based monitoring, packaging selection, and operational governance that improves thermal reliability while controlling cost.
Systematic Literature Synthesis of Indonesia’s IT Industry: Ecosystem Capability, Talent Dynamics, and Governance for Digital Competitiveness Agus Setiawan Agus Setiawan; Siti Nurhayati Siti Nurhayati
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This article presents a systematic literature synthesis (SL) of Indonesia’s IT industry with an applied technology orientation, focusing on three interconnected determinants of competitiveness: (i) ecosystem capability and production capacity in software and digital services, (ii) talent pipelines and skills formation under rapid technology change, and (iii) governance and regulation shaping trust, interoperability, and innovation scaling. The SL protocol defines database-specific search strings, eligibility rules, a quality appraisal rubric, and a transparent extraction matrix structured to capture mechanisms rather than merely catalog topics, enabling translation into an operational framework for IT firms, policymakers, and project owners. The synthesis consolidates the evidence into six thematic clusters: industry structure and value-chain positioning, firm-level capability building and maturity, digital transformation demand and procurement patterns, human capital and skills gaps, cybersecurity and trust infrastructure, and policy and institutional enablers. Across themes, the literature converges on a central tension: Indonesia’s IT growth is simultaneously demand-driven and constraint-limited, meaning that expanding digital demand does not automatically translate into sustained competitiveness unless capability formation, talent governance, and standards-based interoperability are engineered as coordinated system components. The article contributes a coherent conceptual framework, copy-ready SL tables for reporting, and figure prompts suitable for Techne submissions, while explicitly distinguishing protocol-based claims from elements that require empirical population through database execution by the authors.
End-to-End Quality Control in Additive Manufacturing: Evaluating Defect Detectability, Dimensional Uncertainty, and Qualification Risk Across the Digital Thread Park Min-Seo Park Min-Seo; Kim Ji-hye Kim Ji-hye
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This article presents a reliability-centered quality control framework for AM that treats quality as a decision system spanning in-process monitoring, post-process metrology, and acceptance logic, and that explicitly quantifies uncertainty propagation from process signals to defect detectability and dimensional compliance. A scenario-based quantitative study is developed for powder bed fusion production, comparing quality control strategies that combine melt pool monitoring, layerwise imaging, computed tomography sampling, and coordinate measurement verification. The study uses engineering metrics that translate directly to production decisions, including probability of defect non-detection, probability of tolerance exceedance, time-to-disposition, and cost of quality under false-reject and false-accept trade-offs. Results show that (i) monitoring value is maximized when it is calibrated to the defect and geometry mechanisms that dominate part performance rather than treated as a generic anomaly detector, (ii) decision reliability is governed by how thresholds are engineered under controlled false alarm rates and how measurement systems are validated, and (iii) hybrid inspection policies that allocate high-resolution metrology to the highest-risk builds based on monitored uncertainty can reduce total cost while increasing acceptance confidence. The paper concludes with implementable guidance for designing AM quality control architectures as reliability systems rather than as isolated sensing upgrades.
Reliability-Centered Quality Control in Additive Manufacturing: Quantifying Defect Detectability, Dimensional Uncertainty, and Qualification Risk Across the Digital Thread Nurul Huda Aziz Nurul Huda Aziz; Ahmad Faizal Rahim Ahmad Faizal Rahim
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This article presents a reliability-centered quality control framework for metal powder bed fusion that treats quality assurance as a decision system spanning in-situ monitoring, post-build inspection, uncertainty propagation, and acceptance governance across the digital thread, and it quantifies decision performance using probability of defect non-detection, probability of tolerance exceedance, time-to-disposition, and expected cost of quality under controlled nuisance-alarm constraints. A scenario-based quantitative study is developed using Monte Carlo simulation of a multi-build production campaign with realistic drift events, defect-size distributions, and measurement-system uncertainties, comparing four architectures that range from inspection-heavy qualification to monitoring-forward production with risk-based sampling and governed baseline updating. Results show that monitoring value is maximized when indicators are engineered around defect mechanisms and tolerance-critical features, because generic anomaly scoring can either overload operations with unstable alarms or inflate thresholds to the point of insensitivity when baseline variance is large, while hybrid strategies that allocate high-resolution inspection to high-uncertainty builds based on calibrated risk scores can reduce total inspection burden and disposition time without increasing residual acceptance risk.
Thermal Reliability Engineering in Cold Chain Logistics: Modeling Temperature Excursion Risk and Product Quality Loss Under Sensor and Process Uncertainty Aye Thandar Hlaing Aye Thandar Hlaing; Nilar Tun Nilar Tun; Myo Min Aung Myo Min Aung
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This article presents a reliability-centered framework for cold chain engineering that integrates stochastic excursion modeling, sensor uncertainty characterization, and product degradation kinetics into a unified decision pipeline that supports shipment-level risk scoring, lane qualification, packaging selection, and escalation rules for intervention. A scenario-based quantitative study is developed using representative distributions of ambient conditions, dwell times at transfer nodes, refrigeration performance, and door-open events, while incorporating realistic sensor noise and bias drift to evaluate how monitoring quality influences the probability of detecting excursions and the confidence of acceptance decisions. Comparative analysis is performed across four operational strategies that span passive packaging, active temperature control, hybrid risk-based controls, and governance-optimized monitoring with intervention triggers. Results demonstrate that (i) time-to-excursion is dominated by interface dwell and door-open variability rather than by steady-state transport, (ii) small sensor bias and sampling-rate limitations can materially distort excursion severity and time-above-threshold estimates, leading to both false compliance and unnecessary rejection, and (iii) a governed two-tier decision architecture, where monitoring triggers verification or operational intervention rather than serving as the sole acceptance authority, yields the best cost–risk balance for typical pharmaceutical and perishable profiles. The study provides implementable tables, figure prompts, and decision rules suitable for applied engineering practice and journal submission.
Reliability-Centered Process Control in Wastewater Treatment: Quantifying Effluent Compliance Risk Under Sensor Drift, Process Upsets, and Control-Loop Uncertainty Khamla Phommavong Khamla Phommavong
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This article presents a reliability-centered process control framework that treats wastewater treatment as an end-to-end decision system in which sensor uncertainty, model mismatch, and actuator constraints propagate into effluent quality risk. A quantitative scenario-based study is developed for a conventional activated sludge process with nitrification and denitrification, comparing four operational architectures that span baseline PID control, feedforward-enhanced aeration, hybrid risk-based control with supervisory logic, and governance-optimized operation with drift-aware sensing, quantile-based alarm thresholds, and two-tier intervention pathways. The analysis uses engineering metrics that translate to plant management and compliance planning, including probability of exceeding effluent limits for biochemical oxygen demand and ammonia, expected duration and severity of violations, time-to-detection of process upsets, and cost–risk trade-offs that incorporate energy usage and chemical dosing. Results indicate that (i) compliance risk is dominated by tail events driven by combined hydraulic shocks and influent ammonia spikes rather than by steady-state control quality, (ii) sensor drift in dissolved oxygen and ammonia probes can create false stability that delays corrective action and increases violation duration even when average readings appear acceptable, and (iii) reliability improvements are achieved more consistently through governance of sensing and alarms and through structured escalation logic than through controller sophistication alone. The paper provides copy-ready tables and publication-ready figure prompts to support Techne submission and practical implementation.
Protection and Safety in Battery Energy Storage Systems: Modeling Fault Detectability, Isolation Latency, and Thermal Runaway Escalation Under Sensor and Control Uncertainty Rizky Maulana Rizky Maulana
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This article presents a reliability-centered framework for BESS protection and safety that treats detection, decision, and isolation as an end-to-end process, quantifying how uncertainty propagates through sensing and control logic to determine the probability of undetected faults, time-to-isolation, likelihood of thermal runaway propagation beyond a module, nuisance trip rate, and expected downtime cost under operational constraints. A scenario-based quantitative study is developed using Monte Carlo simulation of representative fault classes, including internal cell short development, connection resistance growth, and coolant loss, with explicit modeling of sensor noise and drift, estimation uncertainty, and actuation delays. Four architectures are compared, spanning baseline BMS thresholding, redundant sensing with model-based diagnostics, fast hardware interlocks with conservative trip logic, and a governance-optimized two-tier decision architecture that couples early warning with verification and staged isolation. Results show that (i) escalation risk is governed more by detection latency distributions than by mean detectability, (ii) moderate sensor bias can materially increase false stability and delay isolation during incipient faults even when average alarms look stable, and (iii) hybrid governance that controls nuisance alarms while enabling early staged intervention provides the best cost–risk balance for grid-deployed BESS, reducing propagation probability without driving excessive operational trips. The study provides copy-ready tables and figure prompts suitable for Techne submission and for adaptation to site-specific datasets.
Condition-Based Maintenance in Offshore Wind Turbines: Modeling Fault Progression, Detection Latency, and Time-to-Repair Under Environmental and Sensor Uncertainty Nguyễn Thùy Linh Nguyễn Thùy Linh; Trần Văn Nam Trần Văn Nam
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This article presents a reliability-centered condition-based maintenance framework for offshore wind turbines that explicitly models how uncertainty propagates through monitoring, diagnostics, and maintenance scheduling to determine time-to-decision, probability of missed detection before functional failure, probability of opportunistic repair within access windows, and expected energy production loss. A quantitative scenario-based study is developed for drivetrain and power conversion subsystems, comparing four maintenance architectures that span threshold-based monitoring, model-based diagnostics with redundancy, risk-based maintenance scheduling with spares governance, and a two-tier verification architecture that constrains nuisance alarms while enabling staged intervention. Results show that (i) fleet availability is dominated by the upper tail of time-to-repair rather than by mean time between failures, because weather and logistics amplify delays once a fault progresses beyond a controllable stage, (ii) moderate sensor bias and baseline drift can substantially increase false stability events and shift detection later into the fault progression curve, producing outsized downtime penalties even when average alarm rates appear acceptable, and (iii) governance that couples quantile-based alarm thresholds with verification and repair staging provides a superior cost–risk balance by reducing the probability of late detection without driving unsustainable nuisance maintenance. The study provides copy-ready tables and full prompts for data-driven figures suitable for Techne submission and adaptation to site-specific fleet data.
Decision in High-Variability Manufacturing: Integrating SPC, APC, and Metrology through Risk-Aligned Governance Sopheap Vann Sopheap Vann
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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Abstract

This paper proposes a reliability-oriented framework that treats monitoring and control as an engineered decision pipeline rather than as a collection of independent charts and sensors. The framework integrates sampling design, uncertainty quantification, chart governance, verification logic, corrective action mechanisms, and escalation rules into a unified architecture evaluated by decision-relevant reliability metrics. We define quantitative measures for time-to-detection, expected lots-at-risk prior to intervention, false-hold burden, and time-to-disposition under constrained engineering resources. A representative case-based analysis compares alternative governance designs, including conservative versus risk-aligned thresholds, staged verification strategies, and coupling of SPC alerts with APC adjustments and metrology confirmation. Results indicate that reliability improvements are driven less by increased sensing density than by disciplined governance that constrains nuisance alarms while preserving early detection of sustained drift. Risk-aligned thresholds combined with verification tiers reduce lots-at-risk and maintain manageable hold rates, improving release decision traceability without degrading throughput. The study provides practical guidance for designing maintainable monitoring policies that minimize both escape risk and operational overload, with implications for high-mix, high-precision production environments where uncertainty and drift are unavoidable.
Decision Reliability for Real-Time Release in Pharmaceutical Manufacturing: Modeling Sensor Drift, Sampling Error, and Time-to-Release Under Quality Constraints Nur Syafiqah Zainal Nur Syafiqah Zainal
Techne: Journal of Engineering, Technology and Industrial Applications Vol. 1 No. 3 (2025): Techne: Journal of Engineering, Technology and Industrial Applications
Publisher : Kalam Practica Media

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This article develops an engineering-oriented framework that treats real-time release as an end-to-end decision pipeline, quantifying how uncertainty propagates through measurement, inference, threshold governance, verification logic, and disposition actions to determine probability of false release, probability of false rejection, time-to-release, nuisance hold rate, and expected cost of quality under batch and continuous production contexts. A scenario-based quantitative study is presented for a representative solid oral dose process where near-infrared spectroscopy and inline weight/density sensing are used to infer critical quality attributes, and four operational architectures are compared: baseline fixed-threshold PAT, increased sampling without governance, model-based inference with limited drift management, and a governance-optimized two-tier architecture that combines nuisance-constrained thresholds, drift-aware verification, adaptive sampling, and staged disposition. Results show that quality risk is dominated by tail events in which drift or sampling bias produces false stability and delays intervention, while operational sustainability is dominated by the rate and duration of nuisance holds, and that a governed two-tier approach provides the best cost–risk balance by shrinking the tail of time-to-decision while controlling nuisance actions through explicit false-alarm constraints and verification pathways. The paper provides copy-ready results tables and full prompts for data-driven figures suitable for Techne submission and adaptation to site-specific datasets.

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