SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMILIHAN JURUSAN MENGGUNAKAN FUZZY MULTIPLE ATRIBUTE DECISION MAKING DENGAN METODE SIMPLE ADDITIVE WEIGHTING STUDI KASUS PADA SMA ISLAM SULTAN AGUNG 1 SEMARANG
DOI:
https://doi.org/10.26623/transformatika.v11i2.98Keywords:
FMADM, Major Selection, Simple Additive Weigthing (SAW)Abstract
Problems that occur between major discrepancy with talent and competence are often experienced by high school students, therefore the role of decision support system for the selection of major is needed, so that teachers and students can assist in providing the appropriate department. The data collection process begins with the system requirements, system design, system creation process and the testing process. System design starts from designing the Unified Modeling Language (UML), Entity Relationship Diagram (ERD) and the design of the table. The process of ranking the major alternative use traditional methods of Simple Additive Weighting (SAW), which consists of a criteria subjects value, the value of attendance, the value of talent, values of Psikotest and quota of class. The final result in the form of majors recommendation from the calculation of the most high-ranking criteria. Recommended majors are expected to be the right advice for decision makers to make decisions majors, where the results showed that with this system have recommended majors conformity with the competence and talents of students by 74%.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Transformatika is licensed under a Creative Commons Attribution 4.0 International License.
