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All Journal Jurnal Teknik Sipil Rekayasa Sipil Jurnal Teknik Sipil JRST (Jurnal Riset Sains dan Teknologi) Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Jurnal Infrastruktur JMTS: Jurnal Mitra Teknik Sipil Jurnal Syntax Transformation Jurnal Rekayasa Teknik Sipil dan Lingkungan Golden Ratio of Mapping Idea and Literature Format
Oei Fuk Jin
Universitas Tarumanegara
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Transportation

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Circular Economy for Sustainable Steel Structure Dian Laras Wati; Oei Fuk Jin
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.
Implementation of Energy Harvesting Technology for Sustainable Infrastructure Projects Timotius Alfanov; Oei Fuk Jin
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.v9i2.25952

Abstract

Digital construction has become an important strategy in promoting the Sustainable Development Goals (SDGs) set by the United Nations, especially in the context of infrastructure development. The purpose of this research is to discuss the development of Energy Harvesting (EH) technologies that have been investigated in infrastructure to date. By utilizing energy in the surrounding environment, EH technology offers great potential in reducing carbon emissions generated by infrastructure systems.  This study employs the Systematic Literature Review (SLR) method, involving a structured process of literature search in the Scopus database, selection based on abstracts and content relevance, and in-depth analysis of 27 qualified articles. This research discusses five of the most common EH technologies, namely photovoltaic, piezoelectric, thermoelectric, Wind Energy Conversion System (WECS), and Wind Energy Converter (WEC) technologies. Each technology was evaluated based on its application in infrastructure with a focus on the efficiency and effectiveness of the application of the technology. The results indicate that Photovoltaic and Piezoelectric technologies are the most ready for short-term implementation, while Thermoelectric and WEC technologies show strong long-term potential despite facing technical and economic challenges. Hybrid combinations of multiple technologies have also been proven to enhance efficiency compared to single systems. The harvested energy can be utilized for various infrastructure needs, such as street lighting and Structural Health Monitoring (SHM) systems. This study recommends the application of hybrid technologies as a more efficient solution, tailored to the characteristics of the location and type of infrastructure. In addition, policy support and incentives are needed to accelerate the adoption of these technologies. By implementing these strategies, the construction industry can significantly contribute to achieving the UN's 2030 agenda for sustainable development.
Operational Risk Simulation Model and Financial System for Wastewater Treatment Plants (WWTP) in Industrial Parks Teddy Tambunan; Seow Tawee; Oei Fuk Jin
Golden Ratio of Mapping Idea and Literature Format Vol. 6 No. 2 (2026): February - April
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmilf.v6i2.2187

Abstract

Industrial Wastewater Treatment Plants (WWTPs) are essential infrastructures for managing industrial waste, maintaining environmental quality, and protecting public health. However, high concentrations of organic and chemical contaminants increase energy demand, particularly for pumping and treatment processes, contributing to indirect greenhouse gas emissions. This study aims to develop a simulation model to assess operational and financial risks in industrial WWTPs. The framework focuses on the linear relationship between technical and financial variables under uncertain conditions, analyzed using Monte Carlo simulations. Variability in wastewater discharge and quality from multiple industrial tenants introduces technical risks that affect process efficiency, operational costs, and compliance with environmental standards. Key input variables, such as discharge volume, BOD/COD concentrations, and energy and chemical prices, are modeled as probability distributions. The simulation generates probabilistic outputs of operational costs and potential penalties. This approach enables systematic analysis of uncertainty and supports more effective, data-driven decision-making in WWTP management.
EFISIENSI METODE MONITORING KESEHATAN STRUKTUR JEMBATAN BERBASIS IOT DI INDONESIA Sebastian, Darryl; Oei Fuk Jin
Jurnal Teknik Sipil Vol. 18 No. 3 (2025)
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jts.v18i3.10373

Abstract

Jembatan merupakan infrastruktur vital yang mendukung aktivitas manusia dan perekonomian, namun pemeliharaannya menjadi sebuah tantangan yang besar, khususnya di negara rawan bencana seperti Indonesia. Structural Health Monitoring (SHM) berbasis Internet of Things (IoT) menawarkan solusi pemantauan real-time yang akurat untuk mendeteksi dini kerusakan, mencegah kegagalan struktur, dan mengurangi biaya rekonstruksi. Penelitian ini menggunakan metode Systematic Literature Review (SLR) untuk mengumpulkan dan menganalisis 17 referensi relevan yang diseleksi dengan menggunakan bantuan aplikasi Vosviewer, dalam mengidentifikasi kesenjangan penelitian dan strategi optimal dalam implementasi SHM berbasis IoT di Indonesia. Hasilnya menunjukkan pentingnya langkah-langkah sistematis dalam penerapan SHM untuk meningkatkan efisiensi energi dan menekan biaya pemeliharaan yang tidak diperlukan. Selain itu, SHM diharapkan mendukung pembangunan infrastruktur berkelanjutan sesuai target Sustainable Development Goals (SDGs), dengan memastikan keamanan jembatan sekaligus memperpanjang masa layanannya. Penelitian ini memberikan kontribusi strategis dalam meningkatkan ketangguhan dan keberlanjutan infrastruktur kritis di Indonesia, menjadikan SHM sebagai elemen utama dalam menjawab kebutuhan pembangunan modern.
Co-Authors Albert Nogo Susilo Andri Artiani, Gita Astari, Renetta Devi Aprilliana Lienardo Dian Laras Wati Hutabarat, Lolom Kevin Setiawan Nathania Dewi Go Rigel Pawallo Sebastian, Darryl Selwyn, Hendi Seow Tawee Teddy Tambunan Timotius Alfanov Yasmin Ramadian