INTELLIGENT DECISION SUPPORT SYSTEM FOR INFORMATION TECHNOLOGY EQUIPMENT MANAGEMENT (CASE STUDY: INSTITUT TEKNOLOGI BANDUNG)
Global warming as a result of excessive greenhouse effect is an alarming natural phenomenon in the age of digitalization. Increased greenhouse gas emissions due to human combustion activities cause an increase in Earth's surface temperature and adverse global impacts. This research aims to d...
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/77856 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Global warming as a result of excessive greenhouse effect is an alarming natural
phenomenon in the age of digitalization. Increased greenhouse gas emissions due
to human combustion activities cause an increase in Earth's surface temperature
and adverse global impacts. This research aims to design an Intelligent Decision
Support System (IDSS) for Information Technology (IT) equipment management at
Institut Teknologi Bandung (ITB) based on emission estimation and End-of-Life
(EOL) management of IT equipment. The IDSS design was conducted using a series
of development methods defined by five main steps: asset management, emission
calculation, model development, EOL management, and IDSS development. This
research utilized an ARIMA (1, 1, 2) prediction model with an accuracy level of 0.8
which was used to predict the future procurement of IT equipment. The research
revealed the fact that currently the emissions generated by ITB from the use of IT
equipment reached about 3,338 tCO2 and is predicted to increase to about 4,000
tCO2 in the next three years. The IDSS developed in the research has the
functionality to cope with the threat of future emission spikes. The IDSS tested about
88.37% of its functionality from the black-box testing results. The IDSS provides a
series of initiatives that can be used as a reference for ITB to curtail potential
emissions in the future. The developed IDSS is expected to assist ITB in reducing
these greenhouse gas emissions both locally and globally by considering future
emission estimation as well as IT equipment EOL management. |
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