Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal G-Tech : Jurnal Teknologi Terapan
Sri Kusumadewi
Universitas Islam Indonesia, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Identification of Factors Influencing the Seismic Vulnerability Assessment of Non-Engineered Buildings Catur Singgih; Setya Winarno; Sri Kusumadewi; Albani Musyafa
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9316

Abstract

Non-engineered buildings are still prevalent in many developing countries and consistently with the highest levels of associated with earthquakes damage and fatalities. Nevertheless, there are still few comprehensive vulnerability assessment frameworks that concurrently take consideration technical, socio-economic, and environmental factors. The aim of this study is to identify and prioritize the main contributing factors of seismic vulnerability in non-engineered buildings using a systematic, expert-based evaluation technique. A total of 30 decision-makers participated in a questionnaire survey, ranking the importance of 16 factors across the technical, socio-economic, and environmental using a consensus-based method that includes mean aggregation, normalization to determining weights, and ratio test 0.1 threshold to identify significant factors. The technical has the highest weight (0.407), followed by the socio-economic (0.372) and environmental (0.222) domains. At the factors level, building structural condition (T2) had the greatest significance, followed by construction techniques (T5), material quality (T1), environmental conditions and site location (E1), and socio-economic status (SE2). The generated framework and factor weights provide an objective basis to establish vulnerability assessment and can be extended into fuzzy models to support mitigation and retrofitting strategies.
Identification of Influential Attribute for Prioritizing Wall Material Selection in Low-Cost Housing Wahyu Ari Pramono; Setya Winarno; Sri Kusumadewi; Fitri Nugraheni
G-Tech: Jurnal Teknologi Terapan Vol 10 No 2 (2026): G-Tech, Vol. 10 No. 2 April 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i2.9317

Abstract

Selecting appropriate wall materials for low-cost housing is a complex decision-making process involving multiple technical, economic, social, and environmental considerations. This study aims to identify and prioritize the most influential attributes affecting wall material selection for affordable housing. A total of twenty-two attributes were derived from a comprehensive literature review and evaluated through a structured questionnaire survey involving 30 respondents, consisting of academics, decision-makers, and technical practitioners. A consensus-based weighting approach was applied using the mean value (μᵢ), normalized weight (wᵢ), and relative ratio (r) to establish the priority structure of attributes. The results indicate that all attributes are considered relevant (r > 0.1), with the highest priorities assigned to structural strength and stability (T1, w = 0.060), initial wall cost (E1, w = 0.058), life-cycle cost (E2, w = 0.057), durability and weather resistance (T3, w = 0.056), occupant safety and perceived security (S4, w = 0.056), and embodied carbon and energy (L1, w = 0.053). At the aspect level, technical factors contributed 34% of the total weight, followed by economic (26%), social (21%), and environmental aspects (19%). These findings provide a quantitative attribute-weighting framework that can support the development of Multi-Attribute Decision Making (MADM) models for context-sensitive wall material selection in low-cost housing.
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.
Co-Authors Adwitya Bhaskara Albani Musyafa Catur Singgih Fitri Nugraheni Setya Winarno Wahyu Ari Pramono