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Analisis Model SAW Pada Pemilihan Jurusan di ISB Atma Luhur
Abstract— The department is part of the faculty, and is the
focus of the field of study chosen by students. The choice of majors
is very important to think about beforehand because it will have
an impact on the results of these graduates and the job prospects
sought later. There are many things that can be considered by high
school graduates in choosing a major because if you choose rashly,
you will be at risk of failing along the way. For this reason,
research was carried out with an emphasis on the criteria for
selecting majors at ISB Atma Luhur. The method used in this
study is SAW (Simple Additive Weighting) which is a weighted
sum method that is weighting criteria and alternative attributes so
that normalization can be carried out and calculation of
preference values is carried out and the highest and lowest
rankings are obtained which are used as decision
recommendations. Respondent data was taken based on the
sample, namely through a non-probability sampling technique,
namely in this study the respondent could only provide one
opportunity to be sampled from the population so that one
respondent could not be sampled twice. Respondents who were
sampled were 100 people who were taken from high school
graduates. The criteria presented include department
accreditation, number of professionally certified lecturers, study
program scholarships, and facilities. Determination of criteria
based on the results of interviews with respondents and the results
are taken based on the criteria with the most choices. The results
of the study are alternative Information Systems with a weight or
value obtained from the SAW calculation results, namely 1,
Informatics Engineering with a weight of 0.8, while Digital
Business is 0.6. From the results of these calculations, it can be
concluded that the department that gets the highest score, namely
the Information Systems major, can also be used as a
recommendation as a major to be chosen by students.
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Detail Information
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Publisher | JURNAL SISFOKOM (SISTEM INFORMASI DAN KOMPUTER) : Indonesia., 2023 |
Collation |
12
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Language |
Indonesia
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ISBN/ISSN |
2598-7305
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NONE
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