PERANCANGAN ALAT BANTU EKSTRAKSI TOPIK DATA ULASAN APLIKASI PEDULILINDUNGI MENGGUNAKAN METODE TEXT MINING
In order to deal with the pandemic, the Indonesian government developed the PeduliLindungi apps to prevent the spread of the Covid-19 virus. Initially, people responded positively toward the apps. However, the implementation process was rather dissatisfying for many parties because of many issues...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/67569 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In order to deal with the pandemic, the Indonesian government developed the
PeduliLindungi apps to prevent the spread of the Covid-19 virus. Initially, people
responded positively toward the apps. However, the implementation process was
rather dissatisfying for many parties because of many issues founded on the
PeduliLindungi apps. This dissatisfaction occurs due to the difference of
expectation between the community and the app’s developer. Based on these
conditions, the developer needs to better understand people’s expectations. One of
the media that can be used to understand people's expectations is application
review data, since it contains problems and ideas for adding features from the
customers. Despite that, due to the large number of user reviews, it is rather difficult
for the developer to understand the needs of each individual user. Based on these
problems, a tool was made to extract the topics from the PeduliLindungi apps user
reviews using text mining technique. The reviews of PeduliLindungi went through
a preparatory process consisting of tokenization, stop words & irrelevant words
removal, and stemming process, before going into the modelling process using the
Latent Dirichlet Allocation (LDA) model. Topic modeling using LDA produces
topic groups and their relative prevalence scores. By obtaining topic groups and
their relative prevalence scores, it is hoped that the developers will be able to get
the user needs and the result can also be considered within the process of
prioritizing the development points that will be carried out.
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