Technema: Journal of Intelligent Engineering and Computing
Technema: Journal of Intelligent Engineering and Computing is a peer-reviewed academic journal dedicated to publishing high-quality scholarly work in the fields of engineering, computer science, and emerging technologies. The journal provides an international platform for researchers, engineers, scientists, and technology practitioners to disseminate original research articles, theoretical contributions, experimental studies, system designs, and applied innovations that address contemporary challenges in intelligent systems and digital transformation. Technema welcomes manuscripts in areas such as artificial intelligence, machine learning, data science, computer engineering, software engineering, information systems, cybersecurity, robotics, automation, electrical engineering, the Internet of Things, cloud computing, embedded systems, smart infrastructure, and interdisciplinary technological innovation. All submissions undergo a rigorous double-blind peer-review process to ensure originality, technical rigor, scientific validity, and meaningful contributions to engineering and computing knowledge. Published quarterly in March, June, September, and December, Technema aims to foster global technological dialogue, promote cutting-edge research, and strengthen the role of intelligent engineering and computing solutions in advancing industry, infrastructure, and digital society at local, national, and international levels.
Articles
62 Documents
<![CDATA[Analysis of the Relationship Between Cost and Time in the Implementation of Construction Projects (Literature Review) ]]>
<![CDATA[Robi Ulsani]]>;
<![CDATA[Rezi munizar]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[Cost and time are two fundamental indicators of construction project success alongside quality. These dimensions exhibit a trade-off relationship in which project acceleration generally increases direct costs, whereas schedule delays tend to increase indirect costs and reduce overall project efficiency. This study aimed to examine, through a literature review, the conceptual relationship between cost and time in construction project implementation, the analytical methods commonly applied to evaluate this relationship, and the key factors influencing cost–time performance. The study employed a descriptive narrative literature review based on national and international journal articles addressing construction project cost, project duration, time–cost trade-off, project delays, and schedule acceleration methods. The findings indicate that cost–time relationships are primarily analyzed using the Critical Path Method (CPM), Time–Cost Trade-Off (TCTO), and Earned Value Management (EVM), each supporting different stages of project planning, optimization, and performance monitoring. The review also identifies design changes, material delivery delays, inadequate project management, and inaccurate cost estimation as the dominant factors influencing project cost and schedule performance. The study concludes that integrated cost and time control from project planning through implementation is essential to improve project efficiency and achieve targeted cost and schedule objectives.]]>
<![CDATA[Analysis Factors Causing Delays in Construction Projects for Building Construction in the City of Bengkulu (A Conceptual Study Based on a Literature Review) ]]>
<![CDATA[Hari Putra Pratama]]>;
<![CDATA[M.wisridani P]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[Construction project delays are common challenges in building development across Indonesian cities, including Kota Bengkulu, where infrastructure growth in education, government, and commercial sectors continues to increase. This study aims to conceptually identify potential factors causing delays in building construction projects in Kota Bengkulu based on literature findings from previous studies in various Indonesian cities and their relationship with local geographical, climatic, and seismic characteristics. A narrative literature review method was employed by analyzing national and international scientific publications related to construction project delay factors. The results classify delay factors into six aspects: planning and scheduling, project scope and documentation, organization/coordination/communication, resource availability, financial conditions, and external/environmental factors. The characteristics of Kota Bengkulu as a humid tropical region with high rainfall intensity throughout most of the year and an active seismic zone due to tectonic plate interaction along the Indian Ocean coast indicate potential risks, particularly related to environmental conditions and resource availability. This conceptual study provides an initial framework for understanding construction delay mechanisms in Kota Bengkulu; however, empirical research involving actual project data is required to validate the identified factors.]]>
<![CDATA[Analysis of the Waste Management System at the Nutritional Support Service Unit (SPPG) to Optimize Kitchen Waste Disposal in the MBG Program (A Conceptual Study Based on Literature Review) ]]>
<![CDATA[Rivan Aprianda]]>;
<![CDATA[M.wisridani P]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[The rapid expansion of Indonesia’s Free Nutritious Meal (MBG) Program has increased the importance of wastewater management systems in Nutritional Support Service Units (SPPGs) as essential infrastructure supporting operational continuity and environmental sustainability. This study aimed to analyze the conformity of existing wastewater management systems in SPPGs with applicable engineering standards and to formulate conceptual strategies for optimizing kitchen wastewater disposal. The study employed a non-empirical conceptual approach based on a structured literature review and comparative engineering analysis of national regulations, technical standards, and previous studies related to building wastewater systems, institutional foodservice facilities, and sustainable waste management. The analysis identified several conceptual gaps between conventional building wastewater design and the operational characteristics of SPPGs, particularly regarding hydraulic capacity, drainage configuration, grease management, maintenance accessibility, and wastewater treatment integration. The findings indicate that although existing engineering standards provide a fundamental basis for wastewater system planning, additional technical adaptations are required to accommodate the unique characteristics of large-scale institutional kitchen wastewater. This study proposes an integrated engineering framework emphasizing production-based hydraulic design, effective pretreatment, preventive maintenance, and sustainable infrastructure planning to improve wastewater system reliability and support the long-term implementation of the MBG Program.]]>
<![CDATA[The Rise of Agentic Artificial Intelligence in Medicine: A Systematic Review of Autonomous Systems, Multi-Agent Collaboration, and Ethical Governance ]]>
<![CDATA[Marzuki Pilliang]]>;
<![CDATA[Meilita Dwi Paundrianagari]]>;
<![CDATA[Chindy Amir]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[Artificial Intelligence (AI) in medicine has traditionally functioned as a passive decision-support tool that provides recommendations without autonomous action. The emergence of Agentic AI introduces a new paradigm in which AI systems can plan, execute, and self-correct tasks, creating a shift toward more collaborative human–machine interaction. However, existing literature remains fragmented, with technical development, multi-agent coordination, and ethical governance often discussed separately. This systematic review aims to synthesize current evidence on Agentic AI in medicine by examining autonomous architectures, multi-agent collaboration, clinical validation, ethical challenges, and future implementation barriers. The study followed the PRISMA 2020 framework and employed thematic narrative synthesis of 34 primary studies identified from major academic databases. The findings indicate that orchestrator-based multi-agent architectures integrated with large language models and retrieval-augmented generation represent the dominant approach in medical Agentic AI development. However, real-world clinical validation remains limited, with most studies still focusing on simulations and proof-of-concept evaluations. Furthermore, ethical and governance studies represented the largest research category, highlighting concerns regarding accountability, transparency, and human oversight. This review concludes that the future adoption of Agentic AI requires simultaneous advancement of technical capabilities and governance frameworks, supported by evaluation approaches that consider accuracy, computational efficiency, clinical safety, and human control. ]]>
<![CDATA[Analysis of Cement Fiber Machine Maintenance Using the PMMS (Preventive Maintenance Management System) Method at PT. Nusantara Building Industries ]]>
<![CDATA[Labib Mumtaza Rabani]]>;
<![CDATA[Akhmad Syakhroni]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[Effective machine maintenance is essential for ensuring production continuity in the fiber cement industry, where high-capacity equipment operates continuously under demanding production conditions. This study analyzes the maintenance performance of cement fiber production machines at PT. Nusantara Building Industries using the Preventive Maintenance Management System (PMMS). An empirical case study approach was employed by collecting data through direct observation, semi-structured interviews, and documentation of maintenance records, PMMS forms, inspection checklists, and downtime reports during the internship period. Machine reliability was evaluated using Mean Time Between Failure (MTBF), Mean Time To Repair (MTTR), Pareto analysis, and Fishbone analysis to identify critical equipment and dominant failure causes. The results indicate substantial variations in operational reliability among production machines, with FS6 and FS7 exhibiting the highest downtime and failure frequencies. Pareto analysis revealed that a limited number of failures contributed to most cumulative downtime, while Fishbone analysis identified machine condition, maintenance methods, human factors, environmental conditions, materials, and measurement practices as the principal causes of recurring failures. Reliability-based preventive maintenance scheduling within the PMMS framework established maintenance intervals according to equipment criticality, enabling more effective maintenance planning and resource allocation. The proposed PMMS approach improves maintenance decision-making, enhances equipment reliability, supports production continuity, and provides a practical framework for data-driven maintenance management in continuous manufacturing systems. ]]>
<![CDATA[The Potential for Applying Lean Construction in Construction Projects in Manokwari Regency: A Systematic Literature Review ]]>
<![CDATA[Natalia E Safkaur]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[The construction industry continues to experience challenges that adversely affect project performance, including schedule delays, resource waste, low productivity, and escalating construction costs. Lean Construction has emerged as a management approach that emphasizes value creation while eliminating non-value-adding activities throughout the construction process. This study aims to evaluate the potential application of Lean Construction in construction projects in Manokwari Regency using a Systematic Literature Review (SLR). The review followed the PRISMA 2020 guideline by systematically identifying, screening, assessing, and synthesizing relevant peer-reviewed publications retrieved from Scopus, ScienceDirect, Google Scholar, Dimensions, and Garuda. The findings indicate that Lean Construction has significant potential to improve labor productivity, reduce material waste, enhance construction quality, shorten project completion time, and increase overall project efficiency. The review further identifies the Last Planner System, Just in Time, Value Stream Mapping, Visual Management, and Continuous Improvement as the most suitable Lean practices for regional construction projects. Nevertheless, successful implementation remains constrained by limited workforce competency, inadequate understanding of Lean principles, logistical challenges, and organizational readiness. The study concludes that Lean Construction offers a promising strategy for improving construction project performance in Manokwari Regency when supported by integrated project management, stakeholder commitment, and continuous capacity development.]]>
<![CDATA[The Impact of the Self-Help Housing Stimulus Assistance Program (BSPS) on Community Welfare in Selebar District Bengkulu City (A Conceptual Study Based on Literature Review) ]]>
<![CDATA[Jerry febrian ramadhan]]>;
<![CDATA[M.wisridani P]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[The Self-Help Housing Stimulant Assistance Program (BSPS) is a government housing policy initiative designed to transform uninhabitable houses into decent, safe, and healthy residences for low-income communities through self-help mechanisms and community participation. This study aims to analyze the conceptual impact of the BSPS Program on community welfare in Selebar District, Bengkulu City, by employing a literature review-based approach. The research adopts a non-empirical conceptual method through the synthesis of scientific publications, government regulations, statistical reports, and theoretical perspectives related to housing development and welfare improvement. The findings indicate that BSPS contributes positively to community welfare by improving housing quality, residential safety, comfort, environmental health conditions, and beneficiary satisfaction. The analysis further reveals that the effectiveness of BSPS is not solely determined by physical housing improvements but also depends on governance capacity, institutional coordination, community involvement, and the sustainability of post-assistance maintenance. This study emphasizes that BSPS should be positioned as a multidimensional welfare-oriented policy instrument rather than merely a housing rehabilitation program. The conceptual framework developed provides theoretical implications for understanding the relationship between housing intervention and welfare improvement, while offering a foundation for future empirical studies and policy evaluations in community-based housing development.]]>
<![CDATA[Analysis of Traffic Accidents in Rejang Lebong Regency ]]>
<![CDATA[Ricky Ardiansyah]]>;
<![CDATA[M. Wisridani P]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[Traffic accidents continue to represent a significant transportation safety challenge in Rejang Lebong Regency, particularly along the Curup–Lubuk Linggau and Curup–Kepahiang corridors, where mountainous terrain, sharp curves, steep gradients, and high traffic intensity increase operational risks. This study aims to analyze the characteristics, contributing factors, and spatial distribution of traffic accidents in Rejang Lebong Regency and to identify accident-prone locations for road safety improvement. A quantitative descriptive approach integrated with spatial and statistical analysis was employed using documented accident records, roadway information, and Geographic Information System (GIS)-based mapping. The results indicate that motorcycles are the most frequently involved vehicles, while accidents are predominantly concentrated on national arterial roads with high traffic exposure. Human factors, including excessive speed, unsafe overtaking, lack of concentration, and non-compliance with traffic regulations, were identified as the primary contributors, followed by roadway geometry, vehicle conditions, and environmental influences. Black spot identification using the Equivalent Accident Number (EAN) and Upper Control Limit (UCL) methods successfully identified several high-risk road segments requiring priority engineering interventions. The findings suggest that integrating spatial analysis with engineering assessment provides a reliable framework for supporting evidence-based transportation safety management. Practical recommendations include improving road safety facilities, strengthening traffic law enforcement and public education, and implementing continuous monitoring of accident-prone locations to reduce accident frequency and severity.]]>
<![CDATA[Planning of a Signalized Intersection on the Duren River Road in Jambi Luar Kota District, Muaro Jambi Regency, Jambi Province ]]>
<![CDATA[Muhammad Akbar]]>;
<![CDATA[M.Wisridani.P]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[Traffic accidents continue to represent a significant transportation safety challenge in Rejang Lebong Regency, particularly along the Curup–Lubuk Linggau and Curup–Kepahiang corridors, where mountainous terrain, sharp curves, steep gradients, and high traffic intensity increase operational risks. This study aims to analyze the characteristics, contributing factors, and spatial distribution of traffic accidents in Rejang Lebong Regency and to identify accident-prone locations for road safety improvement. A quantitative descriptive approach integrated with spatial and statistical analysis was employed using documented accident records, roadway information, and Geographic Information System (GIS)-based mapping. The results indicate that motorcycles are the most frequently involved vehicles, while accidents are predominantly concentrated on national arterial roads with high traffic exposure. Human factors, including excessive speed, unsafe overtaking, lack of concentration, and non-compliance with traffic regulations, were identified as the primary contributors, followed by roadway geometry, vehicle conditions, and environmental influences. Black spot identification using the Equivalent Accident Number (EAN) and Upper Control Limit (UCL) methods successfully identified several high-risk road segments requiring priority engineering interventions. The findings suggest that integrating spatial analysis with engineering assessment provides a reliable framework for supporting evidence-based transportation safety management. Practical recommendations include improving road safety facilities, strengthening traffic law enforcement and public education, and implementing continuous monitoring of accident-prone locations to reduce accident frequency and severity.]]>
<![CDATA[The Application of Preventive Maintenance to Improve Heavy Equipment Performance in Construction Projects ]]>
<![CDATA[Rendi Zoelyantara]]>;
<![CDATA[M.Wirisdani P]]>
<![CDATA[ Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing ]]>
Publisher : <![CDATA[CV SCRIPTA INTELEKTUAL MANDIRI ]]>
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<![CDATA[Heavy equipment is one of the most critical resources in construction projects, directly influencing project completion in terms of schedule, cost, quality, and operational efficiency. Intensive equipment utilization increases the risk of mechanical failures, making systematic maintenance essential to ensure continuous operation and minimize unexpected disruptions. This study aims to evaluate the implementation of Preventive Maintenance (PM) in improving the operational performance of heavy equipment used in construction projects. An empirical quantitative case-study approach was employed using operational records, maintenance schedules, equipment operating hours, downtime data, and maintenance documentation collected from the Nakau–Taba Mulan Road Landslide Reconstruction Project, Central Bengkulu Regency, Indonesia. Equipment performance was evaluated using key maintenance indicators, including Availability, Reliability, Mean Time Between Failure (MTBF), Mean Time To Repair (MTTR), Productivity, and Overall Equipment Effectiveness (OEE). The findings indicate that systematic preventive maintenance significantly reduced equipment downtime while increasing operational availability, reliability, and productivity. The heavy equipment achieved an Availability of 98.90%, a Reliability of 96.00%, and an Overall Equipment Effectiveness (OEE) of 92.03%, indicating world-class operational performance. These results demonstrate that preventive maintenance is an effective maintenance strategy for enhancing equipment reliability, improving operational efficiency, reducing emergency repair costs, and supporting the successful execution of construction projects.]]>
