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Stream Analysis and Protection For Urban Area Case Study: Tembagapura, Papua Toha Saleh
Jurnal Pendidikan dan Konseling (JPDK) Vol. 5 No. 1 (2023): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v5i1.11085

Permasalahan pada daerah perkotaan yang dekat dengan sungai yang memiliki kemiringan lereng yang curam dan intensitas curah hujan yang fluktuatif, banjir dapat terjadi pada musim hujan sedangkan pada musim kemarau daerah tersebut kekurangan pasokan air. Kondisi dan situasi ini biasanya dapat diatasi dengan membangun bendungan untuk mengontrol debit dan mengatur kuantitas air yang diharapkan. Namun, kondisi geologis daerah tersebut juga berkontribusi terhadap banjir dengan sejumlah besar puing-puing (dan kadang-kadang bongkahan batu) yang terbawa ke daerah hilir dan merusak infrastruktur pemukiman. Studi ini dilakukan untuk menemukan pendekatan yang sesuai untuk mengurangi kecepatan banjir yang berimplikasi pada pengurangan debit puncak banjir dan momentum untuk mengangkut puing-puing dan batuan, serta memberikan jaminan aliran air yang aman. Analisis dilakukan dengan iterasi dalam mengurangi kemiringan dasar sungai untuk mendapatkan rezim yang stabil, pada saat yang sama melindungi kawasan pemukiman dari puing-puing berlebih dan menormalkan sungai pada ruas-ruas terpilih dan bantaran kritis. Hasilnya menyarankan pemasangan serangkaian bendungan untuk menjebak material puing-puing dan menggunakannya untuk membangun kemiringan dasar yang ringan, bersama dengan menyediakan kapasitas saluran yang cukup untuk mengalirkan setidaknya periode ulang banjir 50 tahun, dengan pertimbangan tambahan menggunakan dolos dan bronjong untuk menstabilkan tepi sungai.

Analisis Instrumen Model Mitigasi Banjir di Indonesia Toha Saleh
Jurnal Syntax Admiration Vol. 5 No. 1 (2024): Jurnal Syntax Admiration
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jsa.v5i1.1014

One of measures to reduce the flood impact in Indonesia has been done by flood emergency response action plan. The action plan is generated from decision making process assisted by instrument such computer models which have capability in producing scenarios and decision to be taken. This research is conducted to identify how the written procedures (delivered by international and national agencies) related to flood emergency response, being accommodated by those (computer) models. By using qualitative analysis, the element procedures of an effective flood emergency response model have been reviewed. The result shows that the detailed information such human and material resources, facilities information, and warning time-lag, have not been properly and entirely accommodated by the (computer) model. Highlights are also given to propose more effective instrument to improve the management of flood crisis.

Analisis Penerapan Teknologi Sensor Berbasis Iot dalam Pemantauan Ketinggian Air Sungai W. Indra Wallasia Putra; Toha Saleh
Jurnal Syntax Admiration Vol. 5 No. 3 (2024): Jurnal Syntax Admiration
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jsa.v5i3.1045

This research aims to compare conventional methods and Internet of Things (IoT) based sensors in measuring river water level. Conventional methods involve the use of manual measurement equipment and fixed measurement stations, while IoT-based sensors use sensor technology that is connected directly to an online monitoring system. This research was carried out by conducting a literature study and obtaining data on the water level of the Ciliwung River which was measured using the peilschaal method by BBWS Ciliwung Cisadane and the IoT-based electromagnetic sensor method by PANTIR (Pemantau Tinggi Air). Comparison of the two measurement methods is carried out from the aspect of accuracy of measurement data and performance based on the time required to obtain the data. The results obtained are in the form of a qualitative analysis which shows the advantages and disadvantages of each method.

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

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

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

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.

Analysis of the Relationship Between WBS, SOP, BIM, LS, and IS for Dam Maintenance Toha Saleh; Yusuf Latief; Dwita Sutjiningsih
Interdisciplinary Social Studies Vol. 5 No. 4 (2026): Interdisciplinary Social Studies
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v5i4.1179

Dams are critical national infrastructure assets that the Indonesian government has developed extensively over the past decade to improve water security and mitigate the impacts of drought and extreme weather events. This large-scale development has created increasing demands for effective and sustainable dam maintenance. At present, dam maintenance activities have not been systematically implemented using a Work Breakdown Structure (WBS)-based approach. Ideally, maintenance performance should be optimized by first identifying the complete scope of maintenance components and then developing maintenance guidelines and Standard Operating Procedures (SOPs) for each identified component. These WBS-based maintenance procedures and guidelines can subsequently be integrated into a maintenance management model using Building Information Modeling (BIM). To support real-time monitoring and inspection, laser scanning (LS) technology can be integrated with BIM and information systems (IS). This study forms part of the development of an electronic dam maintenance (e-maintenance) system by examining the relationships among the key components of the proposed framework, namely WBS, Standard Operating Procedures (SOPs), BIM, laser scanning (LS), and information systems (IS), and their influence on improving dam maintenance performance. Multiple regression analysis, followed by expert validation, was employed to evaluate the significance of these variables in the proposed dam maintenance system. The results indicate strong relationships among the variables, with correlation coefficients ranging from 0.714 to 0.822. Among the variables, WBS exhibited the strongest influence on dam maintenance performance, with the highest standardized regression coefficient (b = 0.237), whereas the remaining variables produced coefficients ranging from 0.048 to 0.173.

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