Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal eScience Humanity Journal Indonesia Journal of Engineering and Education Technology (IJEET)
Alek Irawan Triantho
Unknown Affiliation
Arts Humanities Civil Engineering, Building, Construction & Architecture Education Languange, Linguistic, Communication & Media Social Sciences

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

Found 2 Documents
Search

 1 
Geopatial Technologies in Civil Engineering : A Critical Literature Muhammad Ade Kurnia Harahap; Hamka Wakkang; Adrie Oktavio; Rean Mitasari; Aat Ruchiat Nungraha; Alek Irawan Triantho
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.50

Abstract

This study investigates the role of geospatial technologies in enhancing the efficiency and effectiveness of civil engineering projects. Geospatial technologies, including Geographic Information Systems (GIS), remote sensing, and spatial analysis, have revolutionized the field of civil engineering by providing critical tools for planning, design, construction, and management of infrastructure projects. The integration of these technologies enables accurate terrain mapping, real-time monitoring, and data-driven decision-making, which are crucial for ensuring the safety, sustainability, and resilience of modern infrastructure. This research aims to explore the applications of geospatial technologies in various civil engineering projects, including highway planning, urban development, and environmental monitoring. The study also examines the potential benefits and limitations of these technologies and provides recommendations for their effective integration into civil engineering practices. By understanding the impact of geospatial technologies on civil engineering projects, this research aims to contribute to the development of more efficient, sustainable, and resilient infrastructure that supports the needs of modern society.
The Effect of Machine Learning-Assisted Inquiry Based Learning Size Model on Students' Problem-Solving Thinking Skills Sapulete, Heppy; Tomi Apra santosa; Hasyim Mahmud Wantu; Ahamd Zain Sarnoto; Aat Ruchiat Nungraha; Eko Nursalim; Togam E Panggabean; Alek Irawan Triantho
eScience Humanity Journal Vol 5 No 1 (2024): eScience Humanity Journal Volume 5 Number 1 November 2024
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v5i1.226

Abstract

This study aims to determine the influence of the Machine Learning-assisted Inquiry Based Learning Model on Students' Problem-Solving Thinking Ability. This type of research is a quantitative research with a meta-analysis approach. The data sources in this study come from 12 reputable national and international journals published in 2022-2024. The data collection technique is direct observation through the jury database. The search for data sources in this study is based on google scholar; ERIC, Wiley and Sciencedirect. Data analysis is quantitative data analysis by calculating the effect size value. The results of the study concluded that the inquiry-based learning model assisted by machine learning had a positive influence on students' problem-solving ability with an effect size value of 1,02 in the high effects size category
Co-Authors Aat Ruchiat Nungraha Adrie Oktavio Ahmad Zain Sarnoto Eko Nursalim Hamka Wakkang Hasyim Mahmud Wantu Muhammad Ade Kurnia Harahap Rean Mitasari Sapulete, Heppy Togam E Panggabean Tomi Apra Santosa