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Digital Based Estimation of Residential Property Losses from Liquefaction in West Jakarta Maryati, Indah; Zaki, Muhammad; Pontan, Darmawan; Widiarso, Tulus
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i2.2500

Abstract

Liquefaction poses a significant threat to urban areas with water-saturated alluvial soils, especially in seismically active zones like West Jakarta. Using Cone Penetration Test (CPT) data from 25 locations, soil susceptibility was evaluated through Cyclic Stress Ratio (CSR), Cyclic Resistance Ratio (CRR), and Magnitude Scaling Factor (MSF). Areas with safety factor (FS) values below 1 were identified as having high liquefaction potential. Residential buildings were categorized by floor area and assessed using the 2024 Government Property Sales Value (NJOP) to estimate potential financial loss. Structural damage percentages were determined using seismic intensity thresholds and empirical damage functions. Analysis showed that residential areas with moderate to loose soil conditions, particularly in the northern and western zones, are most vulnerable. The total estimated loss reached IDR 189.8 billion, with the highest concentration of damage in medium and large sized residential properties. These findings emphasize the critical need to integrate geotechnical parameters into spatial risk mapping and urban disaster mitigation planning. A digital loss estimation model combining soil characteristics, seismic parameters, and economic valuation provides a scalable approach for early warning systems and resilience-oriented urban planning. The study contributes to data-driven risk management strategies aligned with sustainable development objectives and adaptive infrastructure policies.
Evaluasi penerapan standar green building pada bangunan gedung rumah sakit di rsud dr. m. Ashari kabupaten Pemalang Darmawan Pontan; Alfa Nur Alim; Galih Prio Sujagat; Chandra Pramodya Gemilang; Zahara Ajeng Septia
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol. 10 No. 3 (2024): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020243969

Abstract

Untuk mengetahui dan mengevaluasi hasil penilaian bangunan gedung rumah sakit berdasarkan Pedoman Rumah Sakit Ramah Lingkungan (Green Hospital) di Indonesia dari Kementerian Kesehatan Republik Indonesia tahun 2018. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan pengumpulan data melalui observasi, wawancara, dokumentasi dan pengukuran yang dilakukan secara terus-menerus dari awal pelaksanaan penelitian dan selama proses penelitian dilakukan. Dengan dilakukannya penelitian ini pengelola rumah sakit dapat menjadi tahu tentang sejauh mana penilaian terhadap penerapan rumah sakit ramah lingkungan sehingga hasil penelitian ini dapat dijadikan acuan dalam penerapan green building dan green hospital di Indonesia.
PKM PELATIHAN MEMBUAT KONTRAK SEDERHANA UNTUK PENGERJAAN PENGECATAN DI SMKN 26 JAKARTA Darmawan Pontan; Muhammad Sapto Nugroho; Ulfa Fatmasari Faisal; Martinus Bambang Susetyarto; Andre Tampubolon
Indonesian Journal of Engagement, Community Services, Empowerment and Development Vol. 6 No. 1 (2026): Indonesian Journal of Engagement, Community Services, Empowerment and Developme
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijecsed.v6i1.260

Abstract

This community service program (PKM) aims to enhance the professional competence of SMKN 26 Jakarta students in construction project management, specifically regarding the planning and legal aspects of painting works. The primary focus of this activity is to introduce the significance of simple work contracts as a legal protection instrument for all parties and to equip students with technical project control skills. The implementation method was divided into three main sessions: (1) teaching project contract concepts and theories, (2) practical training on creating simple contracts using structured forms, and (3) a tutorial on utilizing Artificial Intelligence (AI) for administrative and planning efficiency. Data were collected from 63 respondents through pre-test surveys and post-test evaluations. The results indicate highly significant program effectiveness, where post-training, the practical ability of students to develop project control instruments such as Bar-Charts and S-Curves reached 100%. The integration of AI technology proved to accelerate students' understanding in accurately preparing estimates and contract documents. The conclusion of this activity is that students now possess better readiness to enter the construction industry workforce, equipped with risk management, contract legality, and professional quality control capabilities
Evaluation Of Cost And Time Performance Control Using The Concept Method Of Earned Value In The Purwodadi Market Development Project, Argamakmur District, North Bengkulu Regency Muhammad Anwar; Endah Kurniyaningrum; Darmawan Pontan; Innavona Innavona
Eduvest - Journal of Universal Studies Vol. 4 No. 11 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i11.49920

Abstract

Construction projects often face challenges in maintaining a balance between execution and planning, especially in terms of time and cost. Delays and cost overruns often hinder project efficiency, which has an impact on the satisfaction of the project owner. This study aims to evaluate the cost and time performance of the Purwodadi Market development project in North Bengkulu Regency using the Earned Value Management (EVM) approach. The EVM method was chosen because of its ability to provide a comprehensive picture of the achievement of project performance in terms of time and cost. Data is obtained from the project's weekly report and analyzed using indicators such as Actual Cost of Work Performed (ACWP), Budgeted Cost of Work Scheduled (BCWS), and Budgeted Cost of Work Performed (BCWP). The results show that in the 9th month, the project achieved faster progress than scheduled with a Schedule Performance Index (SPI) of 1.068 and a Cost Performance Index (CPI) of 1.012. This shows that the project is running more efficiently in terms of time and more cost-effective compared to the planned budget. However, there are several months before (the 5th to 8th month) that show delays and wasted costs. The conclusion of this study is that the EVM method is effective in evaluating project performance and allows for the identification of areas that need improvement. Thus, the application of EVM is recommended to improve the management efficiency of similar construction projects.
Cost Analysis of Construction Using the Cost Significant Model and Artificial Neural Network or Feasibility Study Cost Estimation in Process Industry (Case Study: Feasibility Study Projects in the Process Industry Sector in Indonesia) Isma Fajar; Muhammad Zaki; Darmawan Pontan; Tulus Widiarso
Eduvest - Journal of Universal Studies Vol. 5 No. 7 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i7.50381

Abstract

The process industry plays a vital role in the global economy, with increasing complexities requiring significant capital investment for projects. Accurate cost estimation in the early stages is critical to avoid cost overruns, delays, and poor quality. During the feasibility study phase, accurate cost estimation is crucial for project success. This study employs the cost significant model (CSM) to identify key cost elements influencing the total construction cost and compares the model's accuracy with actual costs in 50 process industry projects in Indonesia from 2010 to 2024. Artificial Neural Networks (ANN) with backpropagation are also used to validate the model and calculate the Mean Absolute Percentage Error (MAPE) for accuracy assessment. Analysis identifies significant cost components such as Mechanical ISBL (55.89%), Mechanical OSBL (7.65%), Electrical (6.06%), and Superstructure (15.07%), collectively contributing 84.66% of total costs. ANN-ALL achieves the highest accuracy (L: -4.76%, H: 0.55%), followed by CSM Model 3, ANN-CSM, and others, as per AACE International guidelines. Models exceeding Class 4 benchmarks are unsuitable for feasibility studies. Data analysis combines regression using SPSS and ANN modeling with MATLAB, highlighting the ANN-ALL model's superiority in cost estimation accuracy.
The Effectiveness of Iot Use on Supply Chain Management Under Extreme Conditions in The Copper Cleaner Project Nyoman Oka Wahyudhi; Bambang Endro Yuwono; Darmawan Pontan; Inavonna Inavonna
Eduvest - Journal of Universal Studies Vol. 5 No. 7 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i7.50796

Abstract

The success of a project cannot be separated from a series of activities that include planning, implementation and supervision stages. In Time control on a project, it is very necessary for a project to be able to complete the project on time or earlier than planned. The time control method used in this study is the Supply Chain Collaboration, Integration and Relations method. This research was conducted on the PT XYZ Mining Facility Development Project, Mimika Regency, Papua which aims to find out the project performance and get solutions to the problems that occur in the mining facility construction project. The data used in this study are Time Schedule, Construction Plan, Worker Supply Plan and weekly progress report. The implementation of IoT technology in logistics processes significantly improves the efficiency and effectiveness of the supply chain. In the copper cleaner project, the application of IoT was able to reduce delivery delays by an average of 13% and increase the reliability rate of delivery (on-time delivery) to 85%.
The Effect of Soil Survey Adequacy on Engineering Design Details (DED) on Potential Cost and Construction Time Savings Ilham Akbar Mulya Wibawa; Bambang Endro Yuwono; Darmawan Pontan; Tulus Widiarso
Eduvest - Journal of Universal Studies Vol. 5 No. 7 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i7.50870

Abstract

The construction of the Kadusirung Dua Underpass Project in Banten aimed to improve access routes but encountered landslides during execution, necessitating design changes and additional soil investigations. This study examined the impact of inadequate soil surveys on engineering design, focusing on cost and time efficiency. The research objectives were to analyze the effects of design changes during construction, compare initial and revised designs, and evaluate savings potential if proper soil investigations were conducted initially. Using secondary data from the project, the study employed Microsoft Project for time-cost analysis and applied the Cost of Change vs. Opportunity to Influence theory. Findings revealed that design changes during construction increased costs by Rp 43.6 billion and extended the timeline by 566 days. Conversely, comprehensive soil surveys at the planning stage could have saved 25% of the time (237 days) and 18% of costs (Rp 38.9 billion). The implications highlight the critical need for thorough geotechnical investigations early in projects to mitigate delays and cost overruns. The study underscores the importance of adhering to soil testing standards (SNI 8460:2017) and optimizing design decisions during planning to enhance project efficiency.
The Influence of Geographical Conditions on the Optimization of Cost and Time in Construction Projects in Island Regions of Maluku Province (Case Study: Road Preservation Project on Liran Island) Cindy Sangadji; Bambang Endro Yuwono; Inavonna Inavonna; Darmawan Pontan
Eduvest - Journal of Universal Studies Vol. 6 No. 1 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i1.51996

Abstract

The Road Preservation Project on Liran Island has faced significant implementation delays. Liran Island, categorized as one of the 3T (terdepan, tertinggal, and terluar) areas, has encountered challenges mainly due to difficult geographical conditions. These challenges include shallow sea topography and shoals that hinder navigation, strong currents and tides that limit ship movement, adverse weather conditions such as high winds and large waves, and limited resources that require material imports from outside the island. This study aims to identify and analyze the geographical factors most influencing the optimization of costs and time in the project. The research design employs simulation of optimization scenario models, comparing geographical and normal conditions (without geographical factors). Data analysis is conducted using the Transportation Method for cost optimization (material procurement) and the Critical Path Method (CPM) for time optimization (rescheduling). The results reveal that geographical conditions significantly impact mobilization costs. Among the variables analyzed—sea topography (X1), sea and water conditions (X2), weather (X3), and natural resources (X4)—weather (X3), particularly wind speed and wave height, has the greatest influence on increasing distribution costs. Furthermore, geographical conditions also affect the project schedule, particularly in material delivery planning, which requires longer loading and unloading times. Adjusting the schedule based on geographical conditions leads to cost and time efficiencies, especially in choosing the right vessel types, estimating weather, and managing tidal conditions.
Kesediaan Masyarakat Jakarta Membeli Hunian Bertingkat Green Building Dicky Darmawan; Inavonna; Darmawan Pontan; Lili Kusumawati
Jurnal Aplikasi Teknik Sipil Vol. 23 No. 2 (2025)
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perubahan iklim dan degradasi lingkungan telah mempercepat adopsi konsep green building secara global. Penelitian ini bertujuan untuk mengevaluasi tingkat pemahaman masyarakat Jakarta tentang hunian bertingkat green building dan mengidentifikasi faktor faktor utama yang memengaruhi kesediaan mereka untuk membeli. Dengan pendekatan survei kuantitatif, data dikumpulkan dari responden di Jakarta. Analisis deskriptif dan inferensial dilakukan untuk mengeksplorasi hubungan antara pemahaman publik dan atribut green building, termasuk efisiensi energi, kualitas udara dalam ruangan, dan pengelolaan lingkungan. Temuan menunjukkan bahwa efisiensi energi dan kesehatan dalam ruang menjadi prioritas utama, meskipun biaya awal yang tinggi tetap menjadi hambatan signifikan. Wawasan ini memberikan rekomendasi praktis bagi pengembang dan pembuat kebijakan untuk merancang strategi green building yang lebih hemat biaya dan selaras dengan pasar.
Empirical Analysis of the Impact of Labor Coefficients on Column Reinforcement Productivity in Construction Projects Darmawan Pontan; Pentagon Chen; Daniel Mundung; Manisha Rucitawangi; Indrawati Sumeru
Advance Sustainable Science Engineering and Technology Vol. 7 No. 4 (2025): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i4.2590

Abstract

Construction productivity, particularly in column reinforcement, is significantly influenced by labor as a key project component. Variations in labor coefficients determine efficiency in time, cost, and work quality, necessitating empirical analysis of their impact on productivity. This study examines the relationship between labor coefficients and column reinforcement productivity to improve construction project management efficiency. Using a quantitative approach with purposive sampling, 33 observation data were collected through field measurements and questionnaires from workers and foremen. Simple linear regression was applied to test labor coefficient significance, with results compared against PUPR Ministerial Regulation No. 8 of 2023 standards. Analysis revealed that field labor coefficients significantly affect column reinforcement productivity (p < 0.001), demonstrating that optimal labor utilization increases productivity. The comparison with ministerial standards evaluated field condition conformity with official provisions. The research hypothesis confirming significant influence between field labor coefficients and column reinforcement productivity was accepted, providing valuable insights for construction management practices.
Co-Authors Abadan, Achmad Chakim Abidin, Dikky Safitra Adnan Muhtaram Alexander Alexander Alfa Nur Alim Alfa Nur Alim Alim, Alfa Nur Alsion Maxsi Ananda Maulana Yusuf Andre Tampubolon Antoni, Febri Aulia Najah Bambang Endro Yuwono Berman, Berman Bhekti, Dhanu Setyo Bruantama, Daffa Miln Chandra Gemilang Chandra Pramodya Gemilang Christianto Christianto Cindy Sangadji Daniel Daniel Daniel Mundung Dicky Darmawan Diski Kholida Zia Hadie Putri Efa Ayu Nabila Endah Kurniyaningrum Fabyanto, Ikhsan Fadli Rahman Al Ghifari Fatchurrohman Fatchurrohman, Fatchurrohman Fawwaz, Arvyant Arrazaqi Feby Kartika Sari Galih Prio Sujagat Gandhi, Iswara Gemilang, Chandra Pramodya Hartanty, Dyah Widya Dwi Heru Pambudi Hevada T, Laska Hot Maruli Tua Frans Marihot Purba Ilham Akbar Mulya Wibawa Imam Muhammad Fikri, Imam Muhammad Inavonna Inavonna Inavonna Inavonna, Inavonna Indrawati Sumeru Innavona Innavona Intan Yulianisa Irawan, Angga Ananda Isma Fajar Komara, Kresna Dwiki Lahji, Khotijah Lili Kusumawati Lili Kusumawati Lunatari Sanbella M Yusuf D Adiwinata Mahatmantong, Syafrullah Manisha Rucitawangi Manisha, Manisha Martinus Bambang Susetyarto Maryati, Indah Melkysedek, Hobert Mangatur Michella Maria Veronika Mokodongan, Masita Aisza Muhammad Anugrah Wibawa Mukti Muhammad Anwar Muhammad Fikri, Imam Muhammad Zaki Muhammad Zaki Nesya Widiastama Nugroho, Muhammad Sapto Nyoman Oka Wahyudhi Parwadi Moengin Pentagon Chen Pentagon, Pentagon Rahman, Naufall Fadhlur Rose, Ugahari Saihul Anwar Saihul Anwar Sari, Feby Kartika Septia, Zahara Ajeng Setyo Bhekti, Dhanu Silvano, Verian Gustam Sri Novianthi Pratiwi Sugeng Riyanto Sugeng Riyanto Sujagat, Galih Prio Sumeru, Indrawati Suradjin Sutjipto Sutjipto, Suradjin Syamsiar, Syamsiar Syifa Aulia Putri Tulus Widiarso Ulfa Fatmasari Faisal Wijasena, Razaq Agung Zahara Ajeng Septia Zaki, M.