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All Journal Rekayasa Sipil Teras Jurnal INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Syntax Literate: Jurnal Ilmiah Indonesia JTERA (Jurnal Teknologi Rekayasa) JRST (Jurnal Riset Sains dan Teknologi) Jurnal Rekayasa Sipil JMTS: Jurnal Mitra Teknik Sipil Jurnal Locus Penelitian dan Pengabdian Jurnal Teknik Sipil
Jin, Oei Fuk
Unknown Affiliation
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Transportation Other

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Application of Artificial Intelligence (AI) in Construction Management: A Systematic Literature Review Silitonga, Daniel M.; Jin, Oei Fuk
invotek Vol 23 No 3 (2023): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v23i3.1153

Abstract

Artificial Intelligence (AI) technology is increasingly being adopted in the construction industry in the current era. AI can be integrated with digital technologies such as Building Information Modeling (BIM), Internet of Things (IoT), and Smart Vision (SV). The integration of AI with digital technology has the potential to enhance efficiency, productivity, accuracy, and safety in construction project. This systematic literature review focuses on studying the implementation of AI in construction management, aiming to assess the current role of AI and anticipate future trends in the field. The findings of systematic literature review reveal that AI has been employed in construction projects for tasks such as estimation, resource management, improvement of workplace safety, material selection, structural analysis, and more. The advancements in digital technology, including the influence of 5G connectivity, have further augmented the sophistication of AI applications in the current era. The systematic literature review also delves into the study of machine learning and deep learning, both of which are pivotal in AI technology for executing predictive tasks, analyses, and automated decision-making. Despite the vast potential of AI, this review identifies various challenges associated with the technology, particularly concerning data security. Most existing studies focus on the limited application of AI in specific domains within the construction industry. To address this gap, this systematic literature review provides a comprehensive literature review on the broader perspective of AI application in construction management.
IDENTIFIKASI FAKTOR COST OVERRUN PADA PROYEK KONSTRUKSI DI NEGARA-NEGARA BERKEMBANG Adiputera, Ryan; Jin, Oei Fuk
JURNAL TEKNIK SIPIL Vol 14, No 2 (2025): Volume 14 Nomor 2 November 2025
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jts.v14i2.45300

Abstract

Konstruksi merupakan sektor yang menjadi salah satu sumber perekenomian di berbagai negara, khususnya di negara berkembang yang memiliki permintaan terhadap pekerjaan pembangunan yang tinggi, baik konstruksi gedung maupun infrastruktur. Dalam pekerjaan konstruksi, seringkali para pihak yang terlibat dihadapkan pada berbagai tantangan, salah satunya yaitu fenomena cost overrun atau pembengkakkan biaya. Fenomena cost overrun menjadi permasalahan yang serius yang dihadapi dalam proyek konstruksi, karena dapat menentukan apakah proyek tersebut berhasil dan menghasilkan keuntungan. Terdapat faktor-faktor yang dapat menyebabkan terjadinya fenomena ini. Untuk itu, tujuan dilakukannya penelitian ini adalah menganalisis faktor-faktor yang menyebabkan terjadinya cost overrun pada proyek konstruksi yang terjadi di 10 negara berkembang serta mengupayakan agar fenomena ini dapat diminimalisir. Penelitian ini dilakukan dengan metode systematic literature review (SLR), dengan meninjau literatur-literatur berupa penelitian yang sudah dilakukan khususnya di negara-negara berkembang. Dari hasil penelitian, dapat disimpulkan bahwa faktor-faktor utama yang menyebabkan terjadinya cost overrun antara lain: permasalahan pada penawaran awal dan estimasi biaya, variasi atau perubahan desain, dan keterlambatan pembayaran terhadap kontraktor.
Circular Economy for Sustainable Steel Structure Wati, Dian Laras; Jin, Oei Fuk
JRST (Jurnal Riset Sains dan Teknologi) Volume 9 No. 2 September 2025: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v9i2.24151

Abstract

Steel construction contributes significantly to global carbon emissions and energy consumption. In response to sustainability concerns, circular economy principles offer a promising approach to reducing waste, maximizing material reuse, and minimizing environmental impact. This study presents a systematic literature review of 317 Scopus-indexed articles published between 2010 and 2024. The selection focused on reputable journals (Q1–Q4), environmentally friendly steel structures, reuse, and life cycle assessment (LCA). Bibliometric and keyword mapping analysis using VOSviewer revealed that the topic of steel structure reuse and sustainability is still fragmented. Design for Deconstruction (DfD) practices were found to reduce emissions by up to 70% compared to new structures but face practical limitations due to technical and economic challenges. Moreover, the reuse of industrial by-products such as steel slag and blast furnace gas shows high potential for energy savings and CO₂ reduction, although adoption remains limited. These findings highlight the need for innovative joint design, technological integration, and policy incentives to advance circular economy implementation in steel construction.
Co-Authors Adiputera, Ryan Firman Sarifudin Hendrawan, Stefanus Yobel Ibni, Adam Kurniawan, Andrian Manlian Ronald A. Samitra, Azwar Silitonga, Daniel M. Silitonga, Daniel Maranatha WATI, DIAN LARAS Wijaya, Dedyanto Yanti Yanti