ANALYSIS OF RISK FACTORS FOR MOUNTAIN CLIMBING IN INDONESIA IN FATAL EVENTS FOR THE PERIOD 2013-2023 WITH MONTE CARLO SIMULATION
This study analyses the risk factors of fatal events in mountain climbing in Indonesia for the period 2013-2023 using Monte Carlo simulation. The main objectives are to identify risk factors related to slope and mountain height that contribute to the death of climbers, analyse the influence and i...
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id-itb.:855902024-08-27T10:33:13ZANALYSIS OF RISK FACTORS FOR MOUNTAIN CLIMBING IN INDONESIA IN FATAL EVENTS FOR THE PERIOD 2013-2023 WITH MONTE CARLO SIMULATION Yudha Satria, Fardani Indonesia Final Project Mountaineering, risk analysis, Monte Carlo simulation, statistical analysis. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/85590 This study analyses the risk factors of fatal events in mountain climbing in Indonesia for the period 2013-2023 using Monte Carlo simulation. The main objectives are to identify risk factors related to slope and mountain height that contribute to the death of climbers, analyse the influence and interaction between risk factors, model the risk of death using Monte Carlo simulation, and provide recommendations for risk mitigation. The research methodology included secondary data collection from BASARNAS and Indonesia Earth Map, risk factor analysis, mathematical modelling of slope and mountain height factors, and model integration in Monte Carlo simulation. Statistical analysis included descriptive statistics, correlation and regression analysis, sensitivity analysis, hypothesis testing, risk probability analysis, and data visualisation. The results showed that wind speed and mountain height were the dominant risk factors, especially in adverse weather conditions. This research provides practical recommendations to improve the safety of mountain climbers in Indonesia. text |
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This study analyses the risk factors of fatal events in mountain climbing in
Indonesia for the period 2013-2023 using Monte Carlo simulation. The main
objectives are to identify risk factors related to slope and mountain height that
contribute to the death of climbers, analyse the influence and interaction between risk
factors, model the risk of death using Monte Carlo simulation, and provide
recommendations for risk mitigation.
The research methodology included secondary data collection from
BASARNAS and Indonesia Earth Map, risk factor analysis, mathematical modelling
of slope and mountain height factors, and model integration in Monte Carlo
simulation. Statistical analysis included descriptive statistics, correlation and
regression analysis, sensitivity analysis, hypothesis testing, risk probability analysis,
and data visualisation. The results showed that wind speed and mountain height were
the dominant risk factors, especially in adverse weather conditions. This research
provides practical recommendations to improve the safety of mountain climbers in
Indonesia.
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format |
Final Project |
author |
Yudha Satria, Fardani |
spellingShingle |
Yudha Satria, Fardani ANALYSIS OF RISK FACTORS FOR MOUNTAIN CLIMBING IN INDONESIA IN FATAL EVENTS FOR THE PERIOD 2013-2023 WITH MONTE CARLO SIMULATION |
author_facet |
Yudha Satria, Fardani |
author_sort |
Yudha Satria, Fardani |
title |
ANALYSIS OF RISK FACTORS FOR MOUNTAIN CLIMBING IN INDONESIA IN FATAL EVENTS FOR THE PERIOD 2013-2023 WITH MONTE CARLO SIMULATION |
title_short |
ANALYSIS OF RISK FACTORS FOR MOUNTAIN CLIMBING IN INDONESIA IN FATAL EVENTS FOR THE PERIOD 2013-2023 WITH MONTE CARLO SIMULATION |
title_full |
ANALYSIS OF RISK FACTORS FOR MOUNTAIN CLIMBING IN INDONESIA IN FATAL EVENTS FOR THE PERIOD 2013-2023 WITH MONTE CARLO SIMULATION |
title_fullStr |
ANALYSIS OF RISK FACTORS FOR MOUNTAIN CLIMBING IN INDONESIA IN FATAL EVENTS FOR THE PERIOD 2013-2023 WITH MONTE CARLO SIMULATION |
title_full_unstemmed |
ANALYSIS OF RISK FACTORS FOR MOUNTAIN CLIMBING IN INDONESIA IN FATAL EVENTS FOR THE PERIOD 2013-2023 WITH MONTE CARLO SIMULATION |
title_sort |
analysis of risk factors for mountain climbing in indonesia in fatal events for the period 2013-2023 with monte carlo simulation |
url |
https://digilib.itb.ac.id/gdl/view/85590 |
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