PERANCANGAN MODEL IDENTIFIKASI PELUANG PENGEMBANGAN APLIKASI JENIUS MENGGUNAKAN METODE TEXT MINING
Jenius is the first digital bank launched in Indonesia in 2016 and is the most well-known digital bank in Indonesian consumers. However, based on survey data conducted by Populix in 2022, Jenius is not the most widely used digital bank by Indonesians. When viewed from the application rating on th...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/77755 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Jenius is the first digital bank launched in Indonesia in 2016 and is the most well-known digital
bank in Indonesian consumers. However, based on survey data conducted by Populix in 2022,
Jenius is not the most widely used digital bank by Indonesians. When viewed from the
application rating on the Google Play Store, Jenius has a relatively low rating value when
compared to its competitors. After being investigated, the root cause of the problem is that the
company does not know enough about the satisfactory aspects of the application based on user
perceptions. Therefore, to solve these problems, this research aims to design a model for
identifying opportunities for development of the Jenius application using the text mining method.
Model design is carried out using the CRISP-DM framework and based on the opportunity
algorithm. Topic modeling is done to get latent aspects discussed by users and to get
importance values. Lexicon-based sentiment analysis is carried out to obtain satisfaction values.
The results of the value calculation will then be mapped in the form of an opportunity map to
identify aspects that are in the overserved, served right, and underserved areas for
consideration of opportunities for improvement.
The outcome of this study is a model for identifying product development opportunity, and is
presented in the form of a dashboard. The results of the model generated six aspects of the
application based on consumer review data. These aspects are login process, transaction
processing, wallet features, transfer features, experience, and account registration and
verification. In the opportunity map mapping, the registration and account verification aspects
are in the underserved area, with two aspects in the overserved area, and three aspects in the
served right area.
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