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Perencanaan Temporary Modular Shelter sebagai Solusi Hunian Sementara: Systematic Literature Review Sely Novita Sari; Fitri Nugraheni
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5409

Abstract

Climate change and the increasing frequency of natural disasters highlight the importance of rapid and efficient temporary housing solutions, such as Temporary Modular Shelters. Planning for Temporary Modular Shelters is a complex process that requires consideration of various aspects, including functionality, location, materials, health, safety, transportation, regulations, environmental sustainability, and socio-cultural factors. This study employs the Systematic Literature Review (SLR) methodology to evaluate previous research on Temporary Modular Shelter planning, with primary data sources from Scopus, Sinta, and Garuda. Primary data was gathered from surveys, observations, and literature reviews, while secondary data was used as supplementary material. The data selection process focused on studies relevant to the 2018-2024 timeframe. The analysis identifies key factors, common methodologies, and sustainability principles in modular shelter planning. The findings emphasize that sustainability, resource efficiency, and the use of eco-friendly materials are crucial. Additionally, community involvement and the integration of technology play important roles in enhancing the effectiveness and sustainability of shelters.
Exploration of BIM Automatic Quantity Take Off for Contractor on Bridge Structural Model Vendie Abma; Tri Nugroho Sulistyantoro; Fitri Nugraheni
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8735

Abstract

The implementation of Building Information Modelling (BIM) in Indonesia’s construction industry has grown steadily, but it mainly focuses on the planning stage. One important function of BIM, automated quantity take-off (QTO), has great potential benefits for contractors during the construction phase. However, its use often faces challenges due to poor model quality. This study explores the implementation of BIM-based automated QTO in a bridge construction project to support digital construction practices from a contractor’s viewpoint. A structured modeling approach that follows Level of Development (LOD) 350 was used to improve model quality, ensure data consistency, and allow reliable quantity extraction and shop drawing generation within the BIM environment. The QTO results for the concrete and reinforcement materials in this analysis showed a total concrete volume of 2,075.30 m³, and the reinforcement volume was 381,548.21 kg. The findings also highlight the need to align modeling practices with the requirements of the construction phase to fully take advantage of BIM. Overall, BIM-based automated QTO can enhance construction performance, reduce material waste, and improve contractor decision-making, providing evidence to support broader industry adoption and informing future guidelines and policy initiatives for digital construction in Indonesia.
Constructing Eight Smart Building–Safety Dimensions Through PRISMA Mapping and Fuzzy Mamdani Evaluation Adwitya Bhaskara; Fitri Nugraheni; Sri Kusumadewi
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8752

Abstract

The integration of smart buildings and Internet of Things (IoT)–based safety systems is becoming increasingly important in response to the growing demand for intelligent, safe, and responsive buildings. However, prior studies predominantly focus on technological performance or isolated safety applications, with limited attention to structured readiness mapping at the dimensional level. Addressing this gap, this study proposes a novel eight-dimensional smart building–safety readiness model by integrating a PRISMA 2020–guided systematic literature review (SLR), concept mapping, and Fuzzy Mamdani evaluation. The SLR resulted in five key articles that underpin eight core dimensions: Building Management, Automation and Control, IoT Connectivity, Decision Analytics, Adaptive Response, Safety and Maintenance, Energy and Sustainability, and Automation Dominance. The Fuzzy Mamdani analysis was applied to 23 validated readiness indicators and showed that all dimensions fall within the Average category, with fuzzy values ranging from 54 to 61. These findings indicate that the readiness level for implementing smart building–safety in Indonesia is at a stable intermediate stage, with no dimension lagging significantly behind. Practically, the proposed dimensional model can support policymakers in prioritizing regulatory focus, assist building practitioners in identifying readiness gaps, and provide researchers with a structured framework for advancing smart building–safety integration.