relation: http://repository.upi.edu/143773/
title: LANDSLIDE PREDICTION DATA PROCESSING USING LOGISTIC REGRESSION ALGORITHM
creator: Alvin Dzaki Pratama Darmawan, -
creator: Arjuni Budi Pantjawati, -
creator: Aip Saripudin, -
subject: Q Science (General)
subject: QE Geology
subject: TK Electrical engineering. Electronics Nuclear engineering
description: Landslides pose a significant threat to life and property. This research aims to develop a machine-learning model to predict landslide occurrences, focusing on logistic regression. Key factors such as inclination, vibration, humidity, and precipitation thresholds are considered to categorize areas into risk levels: safe, warning, alert, and danger. To address the challenges of real world data acquisition, a simulated environment was employed to generate a comprehensive dataset. The developed model achieved an accuracy of 84% on the validation dataset, demonstrating  its potential for accurate landslide prediction. This research  contributes to the advancement of early warning systems and  risk mitigation strategies for landslide-prone areas.
publisher: IEEE
date: 2025-07-30
type: Thesis
type: PeerReviewed
format: text
language: id
identifier: http://repository.upi.edu/143773/3/TA_ART_S_TE_2140188_SK.pdf
format: text
language: en
identifier: http://repository.upi.edu/143773/2/TA_ART_S_TE_2104188_ART.pdf
identifier:   Alvin Dzaki Pratama Darmawan, - and Arjuni Budi Pantjawati, - and Aip Saripudin, -  (2025) LANDSLIDE PREDICTION DATA PROCESSING USING LOGISTIC REGRESSION ALGORITHM.  S1 thesis, Universitas Pendidikan Indonesia.   
relation: https://ieeexplore.ieee.org/document/10963634