Pengembangan Sistem Pendukung Keputusan Penelusuran Minat Bakat Siswa SMP Dalam Memilih Jurusan di SMK Berbasis Web

Abdillah Sas, Andi Muh Akbar Saputra, Muh Fadli Fausi Sahlan
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Abstract

The study aims at (1) designing the development of SPK (Decision Support System) of studens’ talent interests with web basis, (2) determining studens majors based on talents and interests, (3) designing the easier application, research population was the students of SMP who where about to graduate of students of SMK who were just accepted in the school. The SPK being built can determine the majors, learning styles, and personality of students based on the answers being questioned. Data colleting techniques used in this study were interview, literature review, and questionnaire. Data processing instruments of the study were structural equation modeling, black box testing, alpha, and beta testing.             The results of the study reveal that the SPK of talents and interests with web basis can be designed and easier for the students in determining the majors at SMK because the SPK made had been tested fuctionality with very feasible category with the ttal percentage of 100%. Based on the usability test, this SPK is categorized as very good with the percentage of 100%. Based on the usability test, this SPK is categorized as very good with the percentage of 89.63%. Based on the result of SEM test by including various factors which were considered as influencing the saticfaction of SPK users, it is concluded that the factors of system quality, information quality, and interation quality influence the satisfaction of SPK users; wheres, the service quality has no influence of satisfaction to SPK users Keyword — decision support systems, majors in SMK, web applications, structural equation modeling.
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初中生在基于SMK的Web选择专业方面的专业利益支持系统的发展
本研究旨在(1)设计基于web的学生天赋兴趣决策支持系统(SPK)的开发;(2)根据天赋和兴趣来确定学生的专业;(3)设计更容易应用的研究人群,研究对象是SMP即将毕业的学生和刚被学校录取的SMK学生。正在构建的SPK可以根据被提问的答案确定学生的专业、学习风格和个性。本研究采用访谈法、文献法和问卷法收集资料。本研究的数据处理工具为结构方程模型、黑盒检验、alpha检验和beta检验。研究结果表明,基于网络的天赋和兴趣的SPK可以设计,并且可以更容易地为学生确定专业,因为SPK已经测试了非常可行的类别,总百分比为100%。根据可用性测试,该SPK被归类为非常好,百分比为100%。根据可用性测试,该SPK被归类为非常好,百分比为89.63%。通过对影响SPK用户满意度的各种因素进行SEM检验,得出系统质量、信息质量和交互质量影响SPK用户满意度的结论;关键词:决策支持系统,SMK专业,web应用,结构方程建模。
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