Analisis Markov untuk Perpindahan Merk Kartu GSM
Studi Kasus Mahasiswa FMIPA Universitas Tribuana Kalabahi
Abstract
Markov chain method produces probabilistic information that can be used to assist decision making. In Markov analysis, an equilibrium state is a condition in which a variable in the system ultimately carries a transition probability in a stable or unchanged state. This study aims to determine the opportunities for consumers to move from GSM cellular card brands to other GSM cellular card brands and to predict the opportunities for consumers to move GSM cellular card brands among students in the future. The data used in this study is primary data collected through the distribution of questionnaires to students of the Mathematics and Natural Sciences Faculty, Tribuana Kalabahi University. The total sample in this study was 82 students. Based on the results of the study, it was found that the Simpati card brand was the card brand that was most widely used by FMIPA students in the future with a total of 94.6% of respondents. while the XL card brand has a 5.4% chance of moving in the future. and the US card brand has a 0% chance of moving in the future. The situation will be balanced for each card brand will remain in the 6th period.
References
Anonim. Global System for Mobile Communication. (2015).
Cucuk Nur Rosyidi, dkk, ‘’ Analisis Loyalitas Merk Pada Produk Sepeda Motor
Menggunakan Rantai Markov Rantai Markov’’INASEA `13 no. 1 ( April 2012)
Brzezniak and Zastarwniak. Basic Stochastic Processes. Springer, London. (2002).
Dewi Erna Wati. Analisis Perpindahan Kartu Prabayar GSM Dengan Rantai Markov (studi kasus: Mahasiswa UNDIP, Semarang) jurnal program studi Matematika, FMIPA, UNDIP, Semarang. (2010).
Hillier, F. S dan G. J. Lieberman. Introduction to Operations Researc. (2008).
Ikshan Kadafi, dkk. Aplikasi Rantai Markov Untuk Menetukan Peluang Transisi Curah Hujan. Jurnal Program Studi Matematika, Fakultas MIPA. Uiversitas Bengkulu. (2017).
Langi, Yohanes. Penentuan klasifikasi sta /dfte pada Rantai Markov. Jurnal Ilmiah Sains. Program QS for Windows. Jurnal Ekonomi Universitas Bina Nusantara, Jakarta. (2011).
Mulyono, S. Riset Operasi. Fakultas Ekonomi Universitas Indonesia. Jakarta. (2007).
Sugiyono. Metodologi Penelitian Administrasi. Edisi Kedua. Bandung: CVAlfa Beta. (1999).
Togi H Simanungkalit. Analisis Perpindahan Merk Kartu Prabayar GSM Dengan Menggunakan Rantai Markov. Jurnal program studi Matematika, FMIPA, USU. (2015).
Yerison dan Nasution. Diktat Pengantar Stokastik. FMIPA. Universita Negeri Padang. Padang. (2003).
YuliInda Pertiwi, Sigit Nugroho, dan Dian Agustina. Analisis Rantai Markov Untuk Memepengaruhi Peluang Perpindahan Merk Kartu Internet GSM Prabayar (studi kasus: program studi Matematika dan Ilmu Pengetahuan Alam)Jurnal prodi matematika, (2015).


