Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Journal of Project Management Research
Saleh, Toha
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Penerapan Building Information Modeling (BIM) sebagai Sistem Informasi dalam Peningkatan Kinerja Pemeliharaan Bendungan Saleh, Toha; Latief, Yusuf; Sutjiningsih M, Dwita; Rohmatul F, Diana
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 3 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i3.3247

Abstract

Dams are critical infrastructure that faces maintenance challenges due to resource limitations, fragmented data, and inefficiencies in workflow management. Building Information Modeling (BIM), by integrating multidimensional data, offers a promising solution to address these challenges by improving maintenance operations through better data visualization, coordination, and decision-making. The purpose of this study is to investigate how BIM can improve the efficiency and performance of dam maintenance operations in Indonesia. This study uses a mixed method approach, which combines qualitative and quantitative methods. Data was collected through semi-structured interviews with dam maintenance experts and engineers, as well as field observations of projects that implemented BIM. The analysis also involves a review of relevant literature on global BIM applications. Quantitative data is analyzed using statistical tools, while qualitative data is coded to identify key insights and themes. The results show that BIM significantly improves dam maintenance efficiency by optimizing maintenance scheduling, resource allocation, and structural monitoring. BIM's 3-Dimensional (3D) modeling capabilities enable early detection of structural problems, improve safety, and reliability. In addition, the study identifies scalability challenges for small-scale projects and recommends tailored solutions to ensure wider deployment. This research contributes to the development of sustainable maintenance strategies for critical infrastructure, especially in developing countries such as Indonesia.
Penerapan Building Information Modeling (BIM) sebagai Sistem Informasi dalam Peningkatan Kinerja Pemeliharaan Bendungan Saleh, Toha; Latief, Yusuf; Sutjiningsih M, Dwita; Rohmatul F, Diana
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 3 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i3.3247

Abstract

Dams are critical infrastructure that faces maintenance challenges due to resource limitations, fragmented data, and inefficiencies in workflow management. Building Information Modeling (BIM), by integrating multidimensional data, offers a promising solution to address these challenges by improving maintenance operations through better data visualization, coordination, and decision-making. The purpose of this study is to investigate how BIM can improve the efficiency and performance of dam maintenance operations in Indonesia. This study uses a mixed method approach, which combines qualitative and quantitative methods. Data was collected through semi-structured interviews with dam maintenance experts and engineers, as well as field observations of projects that implemented BIM. The analysis also involves a review of relevant literature on global BIM applications. Quantitative data is analyzed using statistical tools, while qualitative data is coded to identify key insights and themes. The results show that BIM significantly improves dam maintenance efficiency by optimizing maintenance scheduling, resource allocation, and structural monitoring. BIM's 3-Dimensional (3D) modeling capabilities enable early detection of structural problems, improve safety, and reliability. In addition, the study identifies scalability challenges for small-scale projects and recommends tailored solutions to ensure wider deployment. This research contributes to the development of sustainable maintenance strategies for critical infrastructure, especially in developing countries such as Indonesia.
Optimizing Dam Maintenance: An Integrated BIM-WBS Operational Model Fitria, Diana Rohmatul; Latief, Yusuf; Saleh, Toha; Laksono, Naufal Budi
Journal of Project Management Research Vol. 1 No. 1 (2025): Journal of Project Management Research
Publisher : Avenew Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65303/journalpmresearch.v1i1.14

Abstract

This study addresses the challenges of inefficient dam maintenance by proposing and validating an integrated operational model that leverages Building Information Modelling (BIM) and Work Breakdown Structure (WBS).  Traditional dam maintenance often suffers from poor coordination, inadequate resource allocation, and scheduling delays. To overcome these limitations, this research developed a novel model that seamlessly integrates BIM's 3D visualization and data management capabilities with the hierarchical structure of WBS.  A mixed-method approach, combining literature review, expert validation, and a case study application, was employed to develop and evaluate the model.  The resulting operational model demonstrated improved task efficiency, resource optimization, and stakeholder collaboration through real-time task tracking, streamlined workflows, and enhanced prioritization of maintenance activities. Expert feedback confirmed the model's practicality and effectiveness in resolving common maintenance issues, highlighting its potential to improve communication, reduce delays, and increase the accuracy of maintenance planning. The validated BIM-WBS integrated model provides a robust framework for enhancing dam maintenance performance, offering data-driven decision-making and improved stakeholder collaboration. Future research directions include exploring the model's applicability to other infrastructure types and integrating real-time technologies like IoT and AI for predictive maintenance capabilities.
Co-Authors Fitria, Diana Rohmatul Laksono, Naufal Budi Rohmatul F, Diana Sutjiningsih M, Dwita Yusuf Latief