Profession recommendation based on multiple intelligence for high school students

Management Science Letters Pub Date : 2023-01-01 DOI:10.5267/j.msl.2023.8.001

Heribertus Ary Setyadi, Supriyanta Supriyanta, Diyah Ruswanti, Hartati Dyah Wahyuningsih

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引用次数: 0

Abstract

One of the problems students often face is the lack of understanding of their interests and talents which will cause confusion in making future study choices and career plans. Career selection is an expression of personality into the world of work followed by identification of certain occupational stereotypes. Eight intelligences according to dr. Howard Gardner is linguistic, logical, mathematical, visual spatial, musical, kinesthetic, interpersonal, intrapersonal, and naturalist. This research purpose is to develop a system that produces information and professional recommendations that are in accordance with multiple intelligences of prospective high school students using a combination of Bayes' theorem and weighted product (WP) method. User’s preference value is calculated using the Bayes Theorem method to give each multiple intelligence value which is a criterion. WP method calculation to find professions that match user preferences. Weight of each criterion needed in WP method is calculated by Rank Order Centroid method. WP calculation will produce a ranking of 3 professions according to the input from the user. From system testing results that compared to results from experts, an accuracy of 67.33% is obtained. Based on the accuracy value, it can be said that the accuracy level system is quite good.

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基于多元智能的高中生职业推荐

学生经常面临的一个问题是对自己的兴趣和才能缺乏了解，这将导致未来学习选择和职业规划的混乱。职业选择是在确定某些职业刻板印象之后，将个性表达到工作世界中。根据霍华德·加德纳博士的说法，八大智能是语言、逻辑、数学、视觉空间、音乐、动觉、人际关系、内敛和自然主义。本研究的目的是结合贝叶斯定理和加权积(WP)方法，开发一个符合准高中生多元智能的信息和专业推荐系统。利用贝叶斯定理方法计算用户的偏好值，给出每一个多重智能值作为评判标准。WP方法计算找到符合用户偏好的职业。采用秩次质心法计算各准则的权重。WP计算将根据用户的输入产生3个职业的排名。将系统测试结果与专家测试结果进行对比，得到了67.33%的准确率。根据精度值，可以说该精度等级系统是相当不错的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Management Science Letters

自引率

0.00%

发文量

审稿时长

20 weeks

期刊介绍： Management Science Letters is a peer reviewed, monthly publication dedicated to create a forum for scientists in all over the world who wish to share their experiences and knowledge in the field of management skills in the form of original, high quality and value added articles. The journal''s policy is to perform a peer review on all submitted articles and the papers will be appeared in a form of online on our website as soon as the review result becomes positive. The journal covers both empirical and theoretical aspects of management and gives the chance on sharing knowledge among practitioners. Management Science Letters is dedicated for publishing in the following areas: • Quality Management • Production Management (Scheduling, Production management, etc.) • Total Quality Management (TQM) • Six Sigma • Production Efficiency • Just in Time Inventory • Data Envelopment Analysis • Balanced Score Card • Activity Based Cost (ABC) • Technology Acceptance Model • Marketing planning and Customer Relationship Management • Critical Success Factors • e-learning • Customer satisfaction, Job satisfaction, Job turnover, • Organizational commitment, Employee Commitment • Knowledge Management • Knowledge sharing • Human Resources Management (Employee training, Employee Performance, Work achievements,) • Small and medium-sized enterprises (SMEs) issues and Economic development • Innovation, Creativity, Productivity and Performance • Multi-Criteria Decision Making Applications in Management Science (AHP, BWM, TOPSIS, …) • Education Management, Social development, Public Policy • Tourism Industry, Tourism promotion, Tourism directorates • Business performance and financial performance