SELF-LEARNING PERSONAL FINANCIAL ASSISTANT ANDROID APPLICATION USING MVVM ARCHITECTURAL PATTERN

SENTOSA, ARRIVAL DWI (2020) SELF-LEARNING PERSONAL FINANCIAL ASSISTANT ANDROID APPLICATION USING MVVM ARCHITECTURAL PATTERN. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Personal Financial Management is an essential thing for everyone. Some of the financial purposes are goal setting, money cash flow management, preparing for children education or just for an investment. Most of people don’t know how to manage it well then try to use an application to help manage it. But mostly such these applications are not user friendly and confusing for some of us because some of financial words that we don’t understand. To make a user friendly and good user experience of user when using personal financial application, it can be applied the Natural Language Processing (NLP). The utilization of NLP is able to use the application easier, since NLP can predict user input means, give the suggestion and prediction periodically to inform and approach the user to reach their own financial goal. To perform the best result of NLP Implementation, there are two methods that used: Intent Classification using SVM Algorithm and Named Entity Recognition Conditional Random Field (NERCRF). The dataset used are trained based on user input interaction inside the application and labeled based on features/intent in the application such as: Cash flow input, Budgeting, Goals and Financial suggestion. The prototype is developed for Android platform based on Model-View- ViewModel Software Architectural Pattern as a best practice of Android Development Architectural Pattern. Key words: Personal Financial Management, Intent Classification, Named Entity Recognition, SVM Algorithm, Android, Model-View-ViewModel

Item Type: Thesis (S1)
Call Number: JM/15/19/184
NIM: 41516010094
Uncontrolled Keywords: Personal Financial Management, Intent Classification, Named Entity Recognition, SVM Algorithm, Android, Model-View-ViewModel
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.5 General Purpose Application Programs/Program Aplikasi dengan Kegunaan Khusus
600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 658 General Management/Manajemen Umum > 658.01-658.09 [Management of Enterprises of Specific Sizes, Scopes, Forms; Data Processing]/[Pengelolaan Usaha dengan Ukuran, Lingkup, Bentuk Tertentu; Pengolahan Data]
600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 658 General Management/Manajemen Umum > 658.01-658.09 [Management of Enterprises of Specific Sizes, Scopes, Forms; Data Processing]/[Pengelolaan Usaha dengan Ukuran, Lingkup, Bentuk Tertentu; Pengolahan Data] > 658.05 Data Processing Computer Applications/Pengolahan Data Aplikasi Komputer
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: Dede Muksin Lubis
Date Deposited: 08 Jan 2020 06:46
Last Modified: 08 Jan 2020 06:46
URI: http://repository.mercubuana.ac.id/id/eprint/53361

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