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All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Teknik Sipil dan Arsitektur Jurnal Perikanan dan Kelautan Jurnal Teknik Sipil The Spirit of Society Journal : International Journal of Society Development and Engagement Jurnal Review Pendidikan dan Pengajaran (JRPP) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Sipil dan Arsitektur Devotion: Journal of Research and Community Service International Journal of Social Service and Research JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (JHSSB) Journal Of World Science International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Jurnal Pengabdian Masyarakat Bhinneka Acitya Wisesa: Journal of Multidisciplinary Research Jurnal Teknik Indonesia Journal of Social Science Enrichment: Journal of Multidisciplinary Research and Development Asian Journal of Science, Technology, Engineering, and Art BERBAKTI: Jurnal Pengabdian Kepada Masyarakat Asian Journal of Social and Humanities Jurnal Perikanan dan Kelautan International Journal of Mechanical, Electrical and Civil Engineering International Journal of Social Science and Community Service
Patriadi, Andi
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Physics Public Health Social Sciences Transportation Other

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Critical Path Analysis for Construction Schedule Optimization: RSGM UMSIDA Study Case Panggayo, Izzul Manjulang Tunggal; Patriadi, Andi; Hastijanti, Retno
Acitya Wisesa: Journal of Multidisciplinary Research Vol. 5 Issue 2 (2026)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jmr.v5i2.939

Abstract

The development of educational infrastructure represents a fundamental pillar supporting human resource advancement in Indonesia. Universitas Muhammadiyah Sidoarjo, as a growing higher education institution, addresses the need for academic facilities through the construction of a dental hospital (RSGM), demonstrating its commitment to public health services. This project functions as a teaching hospital in collaboration with the Faculty of Medicine at UMSIDA, enabling medical students to conduct clinical practice. This study aims to determine the optimal project duration after acceleration and identify the required costs resulting from this acceleration. The research applied the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT) to optimize construction scheduling. Results indicate that CPM effectively reduces project completion time from 147 weeks to 104 weeks, while PERT reduces it to 105 weeks, with additional costs of Rp 580,930,000.00 (3.85% of initial budget) and Rp 567,420,000.00 (3.76%) respectively. The PERT implementation, with critical path A-B-C-D-E-F-J, demonstrates a 99.99% probability of completing the project within 105 weeks. Overall, the acceleration efforts yield time savings of 43 weeks using CPM and 42 weeks using PERT, with PERT offering a more cost-efficient alternative. These findings validate the effectiveness of systematic network analysis approaches in educational healthcare facility construction, providing a replicable framework for similar infrastructure development projects in developing regions.
Enhanced Artificial Neural Network Model with Feature Importance Analysis for Drainage Infrastructure Cost Prediction in Data-Scarce Regions Rahmat, Rahmat; Patriadi, Andi; Wulandari, Esti
Jurnal Teknik Indonesia Vol. 5 No. 2 (2026): Jurnal Teknik Indonesia
Publisher : Publica Scientific Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58860/jti.v5i2.815

Abstract

Accurate cost estimation of drainage infrastructure is a critical challenge in rapidly urbanizing regions, particularly in areas with limited historical project data. In Indonesia, inadequate estimation methods often lead to cost overruns and inefficient budget allocation, highlighting the need for more reliable predictive approaches. This study aims to develop and validate an Artificial Neural Network (ANN) for predicting drainage construction costs in data-scarce environments. A quantitative research design was employed using data from 10 drainage projects in South Buton Regency, which were expanded to 150 samples through rule-based data augmentation. The ANN model, based on a Multilayer Perceptron (MLP) architecture, was trained and validated using 5-fold cross-validation. Its performance was evaluated using R², MAE, RMSE, and MAPE, and compared with Multiple Linear Regression (MLR), Random Forest (RF), and Support Vector Regression (SVR) models. The results demonstrate that the proposed ANN model achieves superior predictive performance, with an R² of 0.9978 and MAPE of 3.04%, significantly outperforming the benchmark models. Feature importance analysis reveals that material-related costs, particularly stone masonry, are the most influential factors in determining total project cost. The model also shows strong generalizability and robustness across datasets. The findings imply that the integration of ANN, data augmentation, and feature importance analysis provides a practical and scalable solution for cost estimation in resource-constrained regions. This research contributes to improving decision-making in infrastructure planning, enhancing budget accuracy, and supporting more efficient and sustainable public investment strategies.
Analysis of the Water Balance of the Prumpung River Area (DAS) in Tuban Regency Using the Thornthwaite-Mather Method Zakariya, Rony; Patriadi, Andi; Wulandari, Esti
Jurnal Teknik Indonesia Vol. 5 No. 2 (2026): Jurnal Teknik Indonesia
Publisher : Publica Scientific Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58860/jti.v5i2.817

Abstract

Water is a vital resource whose availability is increasingly uneven due to climate variability, land-use changes, and rising water demand. This condition leads to water surplus during the rainy season and deficit during the dry season, including in the Prumpung Watershed, Tuban Regency. This study aims to analyze the monthly and annual water balance and evaluate the relationship between water availability and water demand in the study area. A descriptive quantitative approach was employed using the Thornthwaite–Mather method, based on rainfall and air temperature data from 2015 to 2024, combined with domestic and non-domestic water demand data for 2024. The results indicate that potential evapotranspiration fluctuates in accordance with air temperature, while actual evapotranspiration is influenced by groundwater availability. Groundwater storage increases during the rainy season and decreases during the dry season. The annual water balance reveals a dominance of deficit conditions in most observation years, although surplus occurs during certain periods. The Prumpung Watershed is vulnerable to water deficits due to uneven rainfall distribution. Sustainable water resource management strategies, focusing on conservation, are required to maintain a long-term hydrological balance.
Co-Authors Abdillah, Pradana Affan Adi Kurniawan Ahsin, Awaludin Akbar, Sutan Fahreza Akhmad Tri Prasetyo Amin, Farid Anwar Anwar Amin, Farid Ariyandi, Eka Putra Aziz, Ghufran Helmi Bahrudin, M. Sulton Budi Prasetiya, Kukuh Budi Purwanto Budi Witjaksana, Budi C, Ach. Robyturrohman Damayanti, Rachma Djatmiko, Mochammad Eka Maya Kurniasih, Eka Maya Ernitasari, Windya Yunesti Esti Wulandari Fatmawati, Laily Endah Hanie Teki Tjendani, Hanie Teki Hardi, Edelbertus Lusius Hermialingga, Septi Ihsabaihaki, Ainur Laksana Putra, Negarawan Maulana, Nauval Usa Mazaruddin, Muhammad Fauzi Muhammad Hendri Muslim Muslim Nurhidayat Nurhidayat Oktafiansyah, Turmudi Pamungkas, Hegar Wahyu Panggayo, Izzul Manjulang Tunggal Perdana, Dicky Rianda Prayogo, Bela Putranto, Yonandika Pandu Putri, Helsa Ade Ayu Kumala Rahmat Rahmat Retno Hastijanti Rifqi, Muhammad Khoirur Rumihin, Ony Frengky Rumihin, Paschal S, Lukman Arief S. Sajiyo Sajiyo Sajiyo Sajiyo Sajiyo, Sajiyo Santi, Dini Nur Maulina Saputra, Lucky Hendra Saputri, Firda Auliya Ajie Saves, Faradlillah Seki, Thomas Aquino Septi, Intan Anastasia Setyarini, Ika Oktavia Sobaruddin, Dyan Primana Sugiharto, Tia Herlina Sutra, Nila Trimurtiningrum, Retno Wahananto, Anang Wahyu Adi Nugroho Wahyu, Lestyanto Zakariya, Rony Zuhri, Fuad Jauhar