A Web-Based Indonesian MBTI Prediction : Design, Implementation, and Testing
Ahmad Fikri Iskandar, Ema Utami, Wahyu Hidayat · 2021
The person who posts a tweet contains linguistic cues for personality on social media. Myers-Briggs Type Indicator (MBTI) is more widely used and discussed online, so MBTI data is available on social media. This paper aims to design, implement, and test a web-based application to predict an Indonesian user from tweets on Twitter. The framework used in the development of MBTI Prediction is Software Development Life Cycle (SDLC). The architecture design follows the built-in development provided by the Flask framework using API Twitter. MBTI prediction method using combination of machine learning approach and feature extraction approach. Time MBTI prediction is 8.74 seconds per user. The development web-based used Python programming language, and Flask framework with SDLC process has been implemented to design, develop and test good quality application.