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PENGARUH PENERAPAN METODE KONSTRUKSI MODULAR TERHADAP EFISIENSI WAKTU DAN BIAYA DALAM PROYEK KONSTRUKSI BANGUNAN Manurung, Edison Hatoguan; Febriadi, Angga
SINERGI : Jurnal Riset Ilmiah Vol. 3 No. 1 (2026): SINERGI : Jurnal Riset Ilmiah, January 2026
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/sinergi.v3i1.2315

Abstract

The modular construction method is an innovation in the construction industry aimed at increasing project efficiency. This study aims to analyze the effect of implementing the modular construction method on time and cost efficiency compared to conventional construction methods. The study used a quantitative descriptive approach, using a case study of the construction of an office building in Grabag District, Purworejo Regency. Data were obtained from cost planning documents (RAB), project scheduling, and relevant supporting literature. The cost analysis showed that the modular method required a cost of Rp3,646,018,620.52, an 18.11% increase compared to the conventional method of Rp3,086,929,413.11. However, in terms of time, the modular method was able to shorten the construction duration from 150 days to 87 days, a 42% increase. The results showed that the modular method was superior in terms of time efficiency, while the conventional method was more economical in terms of cost. The choice of construction method should be adjusted to project priorities.
Differences in the Properties and Distribution of Stress Produced by Several Types of Joints in Steel Construction Using the Finite Element Method Halim, Kritananda Tantra; Manurung, Edison Hatoguan
Journal of Moeslim Research Technik Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i6.2637

Abstract

This study investigates the differences in mechanical behavior and stress distribution between two types of bolted steel connections—splice and endplate joints—using the Finite Element Method (FEM). Numerical simulations were conducted with MIDAS FEA NX, employing SS400 structural steel and A325 high-strength bolts to model beam connections subjected to bending loads. The analysis focused on evaluating von Mises stress distribution, deformation behavior, and load transfer mechanisms. Results showed that the endplate connection exhibited higher stiffness —approximately 5% less deflection than the splice connection —but also experienced 9.6% higher local stresses concentrated near the weld and in the outer bolt regions. Conversely, the splice connection exhibited a more uniform stress distribution and greater ductility, enabling controlled local yielding and improved energy dissipation. FEM predictions closely matched analytical beam theory with less than 5% deviation, confirming the accuracy of the numerical model. The findings suggest that endplate joints are suitable for rigid moment-resisting frames, while splice connections are preferable for applications requiring flexibility, fatigue resistance, and ease of assembly.
Application Of Analytic Hierarchy Process AHP Method In Material Selection For Construction Warkianto Widjaja; Jonggi Harianja; Edison Hatoguan Manurung; Suharyanto Suharyanto
Journal of Renewable Engineering Vol. 2 No. 1 (2025): JORE - February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/v0qvdx61

Abstract

Material selection in the construction industry is a strategic decision that affects the cost efficiency, durability, and sustainability of a project. This study applies the Analytic Hierarchy Process (AHP) method to determine the best construction material based on four main criteria: mechanical strength, environmental resistance, cost efficiency, and environmental sustainability. The hierarchical structure is built with three levels: material selection objectives, evaluation criteria, and compared material alternatives—namely structural steel, cross-laminated timber (CLT), and reinforced concrete. The assessment uses the Saaty scale (1–9), then the matrix is normalized to obtain priority weights. Consistency tests are carried out by calculating the maximum eigenvalue (λmax), Consistency Index (CI), and Consistency Ratio (CR). The results show that structural steel has the highest weight (0.4888093), making it the best choice compared to CLT and reinforced concrete. This study confirms that the AHP method is able to reduce subjectivity in decision making with a data-driven approach. Integration with technologies such as Building Information Modeling (BIM) and Artificial Intelligence (AI) can improve the accuracy of the analysis. Thus, this method can be a solution in selecting construction materials that are more systematic and sustainable.