Development of Web-Based Information Media for Career Choice Recommendations According to Personality Type of MBTI
- DOI
- 10.2991/assehr.k.200521.041How to use a DOI?
- Keywords
- web development, career choice, MBTI type personality, SDLC method
- Abstract
This study aims to develop a web for information media on career choice recommendations based on MBTI personality types (Myers-Briggs Type indicator). The method used for web development was the SDLC (Software Development Life Cycle) method with the Prototyping model. The author uses the PHP programming language and MySQL as a database in web development, with a decision-making model using the forward chaining method so that the search for inference is more natural and follows the existing rules. This media was used by students to search for career choice information that suits their personality. From the personality types obtained through a series of tests by answering the questions given, users can develop themselves from the conclusions and suggestions received in the form of career choice recommendations that were appropriate to the personality type of the MBTI. The white box tested results were obtained by recapitulating parameter calculations, considered to have succeeded from logic errors, and the results of the trial user response in the category 60% very good, 30% good, and the rest were quite good.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Nur Eva Yanti AU - Herman Dwi Surjono AU - Sunaryo Sunarto PY - 2020 DA - 2020/05/22 TI - Development of Web-Based Information Media for Career Choice Recommendations According to Personality Type of MBTI BT - Proceedings of the International Conference on Online and Blended Learning 2019 (ICOBL 2019) PB - Atlantis Press SP - 186 EP - 189 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200521.041 DO - 10.2991/assehr.k.200521.041 ID - Yanti2020 ER -