DETERMINING WEIGHT VALUE OF COMPANY EXTERNAL FACTORS USING TITLE ONLINE NEWS ON EXTERNAL FACTORS ANALYSIS SUMMARY (EFAS) METRIC
Every company wants their business to run well and can survive in competition. To achieve these desires, the right strategy is needed in carrying out the business process. One of the initial approaches to carrying out this strategy is by analyzing the company's environmental factors, there a...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/36961 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Every company wants their business to run well and can survive in competition. To
achieve these desires, the right strategy is needed in carrying out the business
process. One of the initial approaches to carrying out this strategy is by analyzing
the company's environmental factors, there are two types, namely internal and
external factors. For the company's external factors, strategy analysis can use
methods that exist in competitive intelligence, namely PEST and SWOT analysis.
One method that focuses on external factors is a SWOT analysis using the External
Factors Analysis Summary (EFAS) method.
This study focuses on determining EFAS by using data from title online news as a
source of opportunity and threat. EFAS is done with two main modules, namely the
text mining module and priority module that uses AHP or TOPSIS algorithm. News
title obtained from online sites are classified using text mining and then given
priority weight using the AHP or TOPSIS algorithm.
The results can be applied to EFAS using title online news. The results showed that
text mining modules and priority modules can be applied to EFAS with an accuracy
rate of 75%. While the experimental results of the text mining module produce the
SVM algorithm as the best with 0.782 for the F-Measure value. |
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