IMPLEMENTASI CHATBOT UNTUK PEMILIHAN KONSENTRASI PROGRAM STUDI INFORMATIKA MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS: INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO)

ALI MUCHTAROM, NUR (2022) IMPLEMENTASI CHATBOT UNTUK PEMILIHAN KONSENTRASI PROGRAM STUDI INFORMATIKA MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS: INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO). Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

Adisutjipto Aerospace Technology Institute, requires each student to choose a field of concentration to apply for practical work and a final project as a graduation requirement. However, there are often cases where some students are still not sure about the area of concentration to be taken. The problem found is how the system provides recommendations for areas of concentration to students and the level of accuracy of the final results of the system with the choice of concentration fields taken by students. To assist in providing recommendations, a web Decision Support System software in the form of a chatbot. The method used is Simple Additive Weighting (SAW). Alternatives available are the areas of concentration in Information Systems, Networks and Animation. There are 3 criteria used, namely: Course Value, Student Interest and Student Intensity in seeking information about the concentration field. The final result is an alternative ranking of the concentration fields and sorted from the largest to the smallest value. In testing the comparison of the final results of the system with the choice of concentration fields taken by students, there are 7 data differences from a total of 32 data, so the level of accuracy obtained is 78%. Research can be developed, the final result data is used as a basis for conducting research on the topic of the final project or the selection of courses from the available concentration fields.

Item Type: Thesis (Skripsi)
Subjects: Q Science > Q Science (General)
Divisions: Institut Teknologi Dirgantara Adisujtipto > Informatika
Depositing User: Mr Nurali Nurali
Date Deposited: 01 Apr 2024 02:55
Last Modified: 01 Apr 2024 02:55
URI: http://eprints.stta.ac.id/id/eprint/1433

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