Ship and cargo services operational risk controlling through Bayesian subjective probability as a reference for the maritime port information technology planning

Rahmadiansyah, Dudi; Sembiring, Jaka

doi:10.1109/ictss.2014.7013166

2014 International Conference on ICT for Smart Society (ICISS) 2014

DOI: 10.1109/ictss.2014.7013166

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Ship and cargo services operational risk controlling through Bayesian subjective probability as a reference for the maritime port information technology planning

Dudi Rahmadiansyah

Jaka Sembiring

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2015

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Risk assessment model of application development using Bayesian Network and Boehm's Software Risk Principles

Sipayung

Sembiring

2015

2015 International Conference on Information Technology Systems and Innovation (ICITSI)

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There are many risks involved in developing highly qualified application that need to be carefully managed. Hence, the robustness of assessment and risk management based on valid evidence and valid information is a key driver and mandatory. This study aims to develop a risk assessment model that can be used to analyze the interrelationship between risks and calculates the probability and impact of risks. In this study we use Bayesian Network (BN) and Boehm's Software Risk Principles. Finally, we proposed new risk assessment model include risk catalogue and necessary actions to the risks that can be used as a risk assessment guideline in application development project.

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Risk assessment model of application development using Bayesian Network and Boehm's Software Risk Principles

Sipayung

Sembiring

2015

2015 International Conference on Information Technology Systems and Innovation (ICITSI)

Self Cite

View full text Add to dashboard Cite

show abstract

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Ship and cargo services operational risk controlling through Bayesian subjective probability as a reference for the maritime port information technology planning

Cited by 1 publication

References 4 publications

Risk assessment model of application development using Bayesian Network and Boehm's Software Risk Principles

Risk assessment model of application development using Bayesian Network and Boehm's Software Risk Principles

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