MENENTUKAN PRIORITAS PILIHAN MAHASISWA DALAM MEMILIH KAMPUS MENGGUNAKAN ANALISIS CONJOINT

Maxsi Ary

Abstract


A private college is education marketers that need to identify students for educational products; educational products develop and implement a promotion to attract attention and give a strong response from prospective students. Advantages of private college to attract more students improved. The aim of this study is to analyze the preferences of students from the Department of Information Management AMIK Bandung BSI in choosing the campus. Research preferences in choosing college students conducted by applying conjoint analysis using SPSS 17.0. How that is done is to obtain a score of uses that can represent every aspect of campus services owned factor, so that on that score can be deduced about what attributes are most considered by the students in choosing a college. Results of the respondents preference highest-value is a factor field (14.92%), curriculum (13:21%), accreditation (12.75%), lecturer (12:13%), building (11.96%), library (11.87%), Distance (11.66%) and advertising (11:46%). Results of the aggregate utility level factors/attributes chosen by respondents, that the respondents liked the selection of educational services in the campus is having a field campus, open curriculum (the administration delivered in advance at the beginning of registration), the campus has been accredited, senior lecturer option, the size of ordinary buildings (less noticed), the library has a large collection of books, the distance between the house and near the campus, and advertising less attention.

Full Text:

PDF

References


Ary, M. (2014). Identifikasi Perilaku Calon Mahasiswa Baru Dalam Memilih Program Studi Menggunakan Analisis Faktor. Paradigma Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika, 35-45.

Fauzy, U. (2014). Aplikasi Analisis Konjoin Dengan Model Regresi Logistik Dalam Mengukur Preferensi Mahasiswa Dalam Memilih Handphone. Jurnal Matematika UNAND, 132-139.

Ghozali, I. (2011). Aplikasi Analisis Multivariate dengan Program IBM SPSS 19. Semarang: Badan Penerbit Universitas Diponegoro.

Iranita. (2012). Analisis Faktor Yang Mempengaruhi Pilihan Mahasiswa Fakultas Ekonomi Universitas Maritim Raja Ali Haji Dalam Menciptakan Keunggulan Kompetitif (Competitif Advantage). JEMI, 77-88.

Lammers, H. B. (2000). Conjoint Analysis: Some SPSS Screenshots. Retrieved April 28, 2015, from Marketing Research Technology Center California State University, Northridge: http://www.csun.edu/~vcmkt003/SPSSscreenshots/Conjointanalysis/conj346.html

Mas, N. (2012). Persepsi Mahasiswa Terhadap Faktor Yang Mempengaruhi Kepuasan Studi Di Universitas Widyagama Malang. Jurnal Manajemen dan Akuntansi, 80-103.

Rahayu, S., & Rusmawan, R. W. (2010). Analisis Faktor-Faktor Yang Mempengaruhi Minat Untuk Mengikuti Program Pendidikan Profesi Akuntansi (PPAk). Simposium Nasional Akuntansi XIII Purwokerto (pp. 1-21). Purwokerto: Universitas Jenderal Soedirman.

Rusmari. (2011). Faktor-Faktor yang Mempengaruhi Minat Mahasiswa Program Pascasarjana Magister Manajemen Sekolah Tinggi Ilmu Ekonomi (STIE) Indonesia Banjarmasin. Banjarmasin: Tesis - Program Pasca Sarjana STIE Indonesia.

Santoso, S. (2010). Statistik Multivariat. Jakarta: PT Elex Media Komputindo.

Simamora, B. (2000). Analisis Multivariat Pemasaran. Jakarta: PT Gramedia Pustaka Utama.

Supranto, J. (2004). Analisis Multivariat. Jakarta: Rineka Cipta.

Syamsuddinnor. (2013). Analisis Faktor-Faktor Yang Mempengaruhi Minat Kuliah Mahasiswa Strata 1 (S1) Pada STIMI Banjarmasin. Socioscientia - Jurnal Ilmu-Ilmu Sosial, 323-328.

Umar, H. (2000). Riset Pemasatan Perilaku Konsumen. Jakarta: PT Gramedia Pustaka Utama.

Wahyudi, N., & Widayanto, R. (2013). Retrieved Januari 16, 2015, from http://kreano.unnes.ac.id: http://kreano.unnes.ac.id/wp-content/uploads/2013/05/Nurkholis-Wahyudi-dan-Rahmat-Analisis-Conjoint-Untuk.pdf




DOI: https://doi.org/10.31294/p.v18i1.874

Dipublikasikan oleh LPPM Universitas Bina Sarana Informatika

Jl. Dewi Sartika No. 289, Cawang, Jakarta Timur Telp : 021-8010836, ext. 202
Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License