基于 MBTI 测试的信息学毕业生职位推荐系统的前向链算法

Jhonatan Laurensius Tjahjadi, Yulia Wahyuningsi, Padmavati Darma Putri Tanuwijaya, Ryan Putranda Kristianto
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摘要

迈尔斯-布里格斯性格类型指标(MBTI)是根据卡尔-古斯塔夫-荣格的心理学理论确定个人性格类型的一种方法。就计算机科学专业的学生而言,他们在学习期间往往在规划学业历程和确定职业发展方向方面面临挑战,从而在未来选择计算机科学领域的职业道路时产生困惑。为了应对这些挑战,研究人员使用 PHP 编程语言开发了一个基于网络的专家系统。该专家系统的设计目的是根据收集到的用户回答做出决策,并使用前向连锁方法进行处理,最终提供用户的人格类型以及合适的职业选择。该专家系统的主要目的是帮助学生做出有关学习和未来职业的决定。通过这项研究,研究人员制作了一个正常运行的网站,能够有效地处理用户的回答,并生成有关人格类型和职业选择的决定。因此,本研究为计算机科学专业学生规划学业和职业道路提供了一种解决方案。
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Forward Chaining Algorithm on Informatics Graduate Job Recommendation System Based on MBTI Test
The Myers-Briggs Type Indicator (MBTI) is a method for identifying an individual's personality type based on the psychological theory of Carl Gustav Jung. In the context of computer science students, they often face challenges in planning their academic journey and determining the direction of their career development during their studies, causing confusion when it comes to choosing a career path in the field of computer science in the future. To address these challenges, the researcher has developed a web-based expert system using the PHP programming language. This expert system is designed to make decisions based on a collection of user responses, which are processed using the forward chaining method, ultimately providing the user's personality type along with suitable career choices. The primary objective of the expert system is to assist students in making decisions regarding their studies and future careers. Through this research, the researcher has produced a functioning website capable of efficiently processing user responses and generating decisions regarding personality types and career options. Thus, this study provides a solution to aid computer science students in planning their academic and career paths.
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