Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Civil Engineering Science and Technology (CEST)
Suwandi
Universitas Sains dan Teknologi Komputer, Semarang, Indonesia, 50192
Civil Engineering, Building, Construction & Architecture Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementation of Internet of Things (IoT) Technology in Construction Monitoring Kristianus Tommy Hendryarto; Suwandi
Civil Engineering Science and Technology Vol. 1 No. 1 (2025): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/h3wqm765

Abstract

The construction industry requires advanced monitoring systems to ensure infrastructure safety and sustainability. This study develops a real-time structural health monitoring system integrated with the Internet of Things (IoT) and deep learning-based analytics to enhance structural safety during and after construction. The proposed system incorporates multiple smart sensors and employs a Long Short-Term Memory (LSTM) model to detect early structural deformations and predict potential failures. The experimental results demonstrate that the IoT-based monitoring system significantly improves accuracy in tracking humidity (92.4%), temperature (94.8%), pressure (94.1%), and vibration (97.2%) compared to conventional manual inspections. A comparative analysis with global implementations in Singapore and Japan highlights the efficiency of edge computing integration in reducing latency and improving data reliability. The findings underscore the importance of integrating deep learning with IoT to enhance predictive maintenance in the construction industry. This research contributes to the development of a more accurate, real-time, and scalable monitoring system for ensuring infrastructure resilience and sustainability.
The Use of Drones for Surveying and 3D Modeling in Construction Projectsn Suwandi; Angga Setyadi Tommy
Civil Engineering Science and Technology Vol. 1 No. 1 (2025): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ccspb273

Abstract

This study investigates the integration of drone mapping technology with Building Information Modeling (BIM) to enhance accuracy and efficiency in construction projects. By utilizing LiDAR-equipped drones, the research demonstrates significant improvements in topographic mapping, reducing error rates to less than 2% compared to 10% with conventional surveying methods. Additionally, the integration of real-time drone data into BIM optimizes design precision and streamlines project coordination. The study's findings highlight a substantial reduction in survey time and an increase in decision-making accuracy. Despite the benefits, challenges such as high initial investment and workforce training remain obstacles to widespread adoption. This research provides insights into overcoming these barriers and presents a framework for future advancements in drone-BIM integration for construction efficiency
Co-Authors Angga Setyadi Tommy Kristianus Tommy Hendryarto