Recommendation Systems for internship place using artificial intelligence based on competence
Recommendation Systems for internship place using artificial intelligence based on competence
复制标题
基于能力的人工智能实习地点推荐系统
DOI：
10.1088/1742-6596/1165/1/012007
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
G A Pradnyana
中科院分区：
文献类型：
--
作者：
Agus Aan Jiwa Permana;G A Pradnyana
实习计划的实施非常重要，因为它可以提高大学生的能力。事实上，该计划对学生在行业中的成功产生了重大影响。学生可以自由选择合适的实习地点，因为合适的地点会让学生感到有动力，从而使他们更有能力。工业实习计划是在相关行业学习，旨在通过介绍他们与真实的工作条件，以提高学生的能力。学生仍然难以确定合适的实习地点，因为他们对相关问题缺乏信心或能力。现在，学生只需要填写问卷并参加考试。从测试和问卷调查中获得的数据，然后使用人工神经网络（ANN），人工智能（AI）的方法之一进行处理。结果表明，该系统能够很好地执行这一过程，并为信息学专业学生确定合适的实习地点提供准确的建议。系统中的神经网络使用递归结构来产生精确的最优训练。
Internship program is important to be implemented as it can increase the competence of the university students. In fact, the program gives significant impact to the success of the students in industry. Students freely choose their suitable place for the internship because suitable place will make students feel motivated and as a result they will be more competent. Industrial internship program is learning at the relevant industry, aimed to increase the competence of the students by introducing them with real working condition. Students are still find difficulty in deciding the suitable place for internship because of their low confidence or competence with related issue. Now, students only need to fill the questionnaire and take the test. The data obtained from the test and questionnaires are then processed by using Artificial Neural Network (ANN), one of the Artificial Intelligence (AI) method. The result was that system can execute the process well and provide accurate recommendation for informatics students to determine suitable place for their internship program. Neural Network in the system is using the recurrent architecture to produce accurate optimal training.