BibTex Citation Data :
@article{J.Gauss3789, author = {Dini Anggreani and Moch. Mukid and Agus Rusgiyono}, title = {ANALISIS PREFERENSI SISWA SMA DI KOTA SEMARANG TERHADAP PROGRAM STUDI DI PERGURUAN TINGGI DENGAN METODE CHOICE-BASED CONJOINT}, journal = {Jurnal Gaussian}, volume = {2}, number = {4}, year = {2013}, keywords = {preference; study program; choice-based conjoint}, abstract = { This research aims to determine the design of study program that has the biggest opportunity to be chosen by the students. One method can be used to determine the preferences of high school students on existing study program in college is choice - based conjoint method. Variables used in this research are a minimum value of accreditation of selected study program that consist of three categories (A, B, and C), field of science study program that consist of two categories (exact sciences and not exact sciences), type of study program that consist of two categories (educational and not educational), and education level that consist of three categories (S1, D4, and D3). Data analysis techniques used in the choice - based conjoint method is conditional logit model. Variables order starting from the biggest contribution in influencing students preferences is accreditation of study program, level of education, type of study program, and field of science. The design of study program most likely to be chosen by the students is a study program with accreditation A, not exact sciences field, not educational type, and S1 level. }, issn = {2339-2541}, pages = {301--310} doi = {10.14710/j.gauss.2.4.301 - 310}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/3789} }
Refworks Citation Data :
This research aims to determine the design of study program that has the biggest opportunity to be chosen by the students. One method can be used to determine the preferences of high school students on existing study program in college is choice-based conjoint method. Variables used in this research are a minimum value of accreditation of selected study program that consist of three categories (A, B, and C), field of science study program that consist of two categories (exact sciences and not exact sciences), type of study program that consist of two categories (educational and not educational), and education level that consist of three categories (S1, D4, and D3). Data analysis techniques used in the choice-based conjoint method is conditional logit model. Variables order starting from the biggest contribution in influencing students preferences is accreditation of study program, level of education, type of study program, and field of science. The design of study program most likely to be chosen by the students is a study program with accreditation A, not exact sciences field, not educational type, and S1 level.
Article Metrics:
Last update:
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Media Statistika journal and Department of Statistics, Universitas Diponegoro as the publisher of the journal. Copyright encompasses the rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.
Jurnal Gaussian and Department of Statistics, Universitas Diponegoro and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in Jurnal Gaussian journal are the sole and exclusive responsibility of their respective authors and advertisers.
The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form Jurnal Gaussian]. The copyright form should be signed originally and send to the Editorial Office in the form of original mail, scanned document or fax :
Dr. Rukun Santoso (Editor-in-Chief) Editorial Office of Jurnal GaussianDepartment of Statistics, Universitas DiponegoroJl. Prof. Soedarto, Kampus Undip Tembalang, Semarang, Central Java, Indonesia 50275Telp./Fax: +62-24-7474754Email: jurnalgaussian@gmail.com
Jurnal Gaussian by Departemen Statistika Undip is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Visitor Number:
View statistics