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Hospital Building Value Engineering Strategy in Accordance with Building Technical Standards Joko Riyanto; Slamet Imam Wahyudi; Kartono Wibowo
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i3.2436

Abstract

This study developed a Value Engineering strategy for hospital buildings in accordance with Indonesian technical standards, namely Government Regulation No. 16, Minister of Health Regulation No. 40, and Minister of Public Works and Public Housing Regulation No. 21 concerning Green Building Performance Assessment. The purpose of this study was to determine design-appropriate variable criteria and formulate improvement strategies for variables that did not meet the requirements. A quantitative methodology was applied using the Likert strategy, validity and reliability tests (Guttman Split-Half), and mean value analysis. The results showed 16 variables valid, reliable, and feasible indicators (mean 0.92–0.99). Improvement strategies were applied to 16 variables, including additional innovations of 9 variables. The developed Value Engineering strategy is statistically significant and can be used as a reference for hospital planning decision-making, contributing to improved efficiency, sustainability, and quality of hospital buildings in Indonesia.
Performance Monitoring Model for Time and Cost Efficiency in Building Construction Projects: An Empirical Study Supporting SDG 9 Bukhori Bukhori; Antonius Antonius; Kartono Wibowo
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.154

Abstract

Objective: To develop and evaluate an integrated performance monitoring model based on Earned Value Management (EVM) and Building Information Modeling (BIM) to improve time, cost, and quality efficiency in building construction projects. Method: A quantitative case study approach was applied using data from 204 building construction projects in Indonesia. The analysis employed Earned Value Analysis (EVA), correlation analysis, and multiple linear regression, with support from SPSS and BIM-based simulation tools. Results: The findings show that 50% of projects achieved a Cost Performance Index (CPI) between 1.0 and 1.1, while 60% recorded a Schedule Performance Index (SPI) between 0.9 and 1.1. In addition, 75% of projects met quality standards as measured by the Quality Performance Index (QPI). The integrated model significantly improves the early detection of project deviations and enhances the efficiency of corrective actions. Novelty: Integration of Earned Value Management (EVM) and Building Information Modeling (BIM) into a unified performance monitoring framework that enables real-time, data-driven decision-making for cost, time, and quality control in construction projects under external uncertainty conditions. This integrated framework also provides practical contributions to SDG 9 (Industry, Innovation and Infrastructure) by supporting innovative, resilient, and efficient infrastructure project management through digital performance monitoring.
Performance Monitoring Model for Time and Cost Efficiency in Building Construction Projects: An Empirical Study Supporting SDG 9 Bukhori Bukhori; Antonius Antonius; Kartono Wibowo
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.154

Abstract

Objective: To develop and evaluate an integrated performance monitoring model based on Earned Value Management (EVM) and Building Information Modeling (BIM) to improve time, cost, and quality efficiency in building construction projects. Method: A quantitative case study approach was applied using data from 204 building construction projects in Indonesia. The analysis employed Earned Value Analysis (EVA), correlation analysis, and multiple linear regression, with support from SPSS and BIM-based simulation tools. Results: The findings show that 50% of projects achieved a Cost Performance Index (CPI) between 1.0 and 1.1, while 60% recorded a Schedule Performance Index (SPI) between 0.9 and 1.1. In addition, 75% of projects met quality standards as measured by the Quality Performance Index (QPI). The integrated model significantly improves the early detection of project deviations and enhances the efficiency of corrective actions. Novelty: Integration of Earned Value Management (EVM) and Building Information Modeling (BIM) into a unified performance monitoring framework that enables real-time, data-driven decision-making for cost, time, and quality control in construction projects under external uncertainty conditions. This integrated framework also provides practical contributions to SDG 9 (Industry, Innovation and Infrastructure) by supporting innovative, resilient, and efficient infrastructure project management through digital performance monitoring.
Analisis Pengendalian Biaya dan Waktu pada Pekerjaan dengan Metode Earned Value dan Crashing Akamarin Mal; Nova Olga Xina; Kartono Wibowo; Eko Muliawan Satrio
Journal of Golden Generation Multidisciplinary Vol. 2 No. 5 (2026): Oktober: Journal of Golden Generation Multidisciplinary
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jggm.v1i5.1089

Abstract

Pembangunan infrastruktur pendidikan tinggi, khususnya Gedung Laboratorium Terpadu UIN K.H. Abdurrahman Wahid Pekalongan Tahap II, memerlukan pengendalian biaya dan waktu yang cermat mengingat kompleksitas pekerjaan arsitektur dan MEP di dalamnya. Proyek dengan nilai kontrak Rp18.868.137.928,93 dan durasi 115 hari kalender ini dievaluasi menggunakan metode Earned Value untuk mengetahui kinerja biaya dan waktu hingga minggu ke-12, dilanjutkan dengan metode Crashing melalui penambahan tenaga kerja pada pekerjaan jalur kritis guna mengoptimalkan sisa pekerjaan. Hasil analisis Earned Value menunjukkan Schedule Variance (SV) positif sebesar Rp601.746.933,98 dan Cost Variance (CV) positif Rp5.788.982,81, dengan SPI 1,05108 dan CPI 1,00047 yang mengindikasikan proyek berjalan lebih cepat dari jadwal dan lebih hemat dari anggaran. Estimasi biaya akhir (EAC) sebesar Rp16.990.375.412,56 menghasilkan efisiensi Rp7.947.045,93 (0,045%), dengan estimasi waktu penyelesaian (EAS) 16,757 minggu. Simulasi Crashing pada pekerjaan kritis menghasilkan percepatan durasi 7,13%–14,67% disertai kenaikan cost slope yang bervariasi antar item pekerjaan. Dapat disimpulkan bahwa pelaksanaan proyek berada dalam kondisi lebih cepat dari jadwal dan lebih efisien dari anggaran, sementara penerapan metode Crashing terbukti mampu mempercepat penyelesaian pekerjaan kritis dengan tambahan biaya yang relatif terkendali, sehingga kombinasi Earned Value dan Crashing efektif digunakan sebagai alat pengendalian proyek konstruks.