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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Bibliographic Details
Main Author: Saffa Seruni, Larisa
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
Description
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.