Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
2020: Prosiding Seminar Nasional ReTII ke-15

A Review of Artificial Intelligent for Prediction Ground Vibration in Blasting

Risaldi Hidayat (Unknown)
Tedy Agung Cahyadi (Universitas Pembangunan Nasional Veteran Yogyakarta)
Eddy Winarno (Universitas Pembangunan Nasional Veteran Yogyakarta)
Singgih Saptono (Universitas Pembangunan Nasional Veteran Yogyakarta)
S. Koesnaryo (Universitas Pembangunan Nasional Veteran Yogyakarta)

Article Info

Publish Date
27 Oct 2020

Abstract

Blasting activities cause ground vibrations that affect the potential for ground displacement in surface mining. That will have an impact on the stability of the slope and environmental problems. Therefore, it is necessary to analyze the prediction ground vibrations measured by peak particle velocity (PPV). Artificial Intelligent (AI) has an important role to overcome the limitations of parameters used, uncertainty, and inaccuracy than conventional methods. AI for prediction ground vibration has grown a lot in recent years. To find out an accurate and effective AI technique, the authors compare several techniques by evaluating their strengths and weaknesses based on literature studies. The ICA-M5Rules model and ICA-ANN model are techniques that have high accuracy and flexibility of use than other presented techniques. And related to the use of parameters, there are other parameters that play an important role which will be reviewed in this journal.

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Journal Info
Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Website

Abbrev

ReTII

Publisher

Institut Teknologi Nasional Yogyakarta

Subject

Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

Description

Sub – Tema : Manajemen EBT (Energi Baru Terbarukan) & Energy Harvesting IOT Robotika Era Industry 4.0 Green Manufacturing Sains Terapan Berbasis Kecerdasan Teknologi Transportasi Cerdas & Ramah Lingkungan Rekayasa Material Maju & Teknologi Nano Teknologi Eksplorasi Mineral, Limbah & Lingkungan ...