Sistem Identifikasi Minat dan Bakat Berbasis Multiple Intelligence dan Simple Additive Weighting

  • Marta Fairus Hani Imami Politeknik Negeri Banyuwangi
  • Lutfi Hakim Politeknik Negeri Banyuwangi
  • Sepyan Purnama Kristanto Politeknik Negeri Banyuwangi
  • Yuniarta Syarifatul Umami Universitas Jember
Keywords: detection system, expert system, multi criteria decision making, laravel framework, rapid application development


Interests and talents identification in children is generally carried out by psychologists who provide test services. But the procedures used are still manual and take a long time to get the results. In addition, the presence of psychologists is still limited and uneven in all regions of Indonesia. Therefore, in this study, a system was developed to identify children's interests and talents based on multiple intelligences which was developed by Howard Gardner with the Simple Additive Weighting method. This method is used to calculate the most dominant type of intelligence possessed by children based on a test device developed by psychologists using a Likert scale in the assessment of each question. Based on the results of testing carried out using black-box testing, it was found that all the features developed were 100% valid based on all the scenarios tested. In addition, the test results between the calculations in the application and manual with excel obtained a score of 100% valid which means that there is no significant difference between the two calculations. The output obtained from this system after the child has consulted is that the most dominant type of intelligence is obtained along with an explanation related to that intelligence, how to handle it, recommended extra-curricular activities and articles related to the type of intelligence. This application was developed with two actors, namely admin and child which was developed with the Laravel framework.

Author Biographies

Marta Fairus Hani Imami, Politeknik Negeri Banyuwangi

Teknik Informatika

Lutfi Hakim, Politeknik Negeri Banyuwangi

Teknologi Rekayasa Perangkat Lunak

How to Cite
ImamiM. F. H., Lutfi Hakim, Sepyan Purnama Kristanto, & Yuniarta Syarifatul Umami. (2024). Sistem Identifikasi Minat dan Bakat Berbasis Multiple Intelligence dan Simple Additive Weighting. JOURNAL ZETROEM, 6(1), 1 - 9.