Identification of Factors Influencing the Preferences of College Students in Choosing SIM Cards Using the Orthogonal Factor Model

A Subscriber Identity Module (SIM) card is a key component in mobile telecommunication systems that stores identity information and enables access to mobile networks. Students' choice of SIM card is important given their need for efficient communication, fast and stable internet access, and other additional services. This study aims to identify factors that influence the preferences in choosing a SIM card using the orthogonal factor model. This model is applied to simplify a large number of variables into several main factors that are not correlated with each other, making interpretation easier. Data was collected through a questionnaire involving 257 respondents and analyzed using the principal component factoring (PCF) technique for parameter estimation. PCF was chosen due to its ability to extract principal components that represent the largest variance of the data, so that the resulting factors are more accurate in describing student preferences. The study results indicate that six key factors affect students' preferences when selecting a SIM card: price, service, network quality, promotional offers, extra features, and bonuses. Understanding these factors, service providers can design more effective marketing strategies to attract and retain student customers.

Authors

Institutions

Publication Details

Journal
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
Published
2025-05-31
DOI
https://doi.org/10.47191/ijmcr/v13i5.16
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Factors Influencing the Preferences of College Students in Choosing SIM Cards Using the Orthogonal Factor Model

Moch. Abdul Mukid, Bagus Arya Saputra, Masithoh Yessi Rochayani, Albert Gabriel Lumban Gaol
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
Technology and Data Analysis
article

Identification of Factors Influencing the Preferences of College Students in Choosing SIM Cards Using the Orthogonal Factor Model

Moch. Abdul Mukid, Bagus Arya Saputra, Masithoh Yessi Rochayani, Albert Gabriel Lumban Gaol
article en

Abstract

A Subscriber Identity Module (SIM) card is a key component in mobile telecommunication systems that stores identity information and enables access to mobile networks. Students' choice of SIM card is important given their need for efficient communication, fast and stable internet access, and other additional services. This study aims to identify factors that influence the preferences in choosing a SIM card using the orthogonal factor model. This model is applied to simplify a large number of variables into several main factors that are not correlated with each other, making interpretation easier. Data was collected through a questionnaire involving 257 respondents and analyzed using the principal component factoring (PCF) technique for parameter estimation. PCF was chosen due to its ability to extract principal components that represent the largest variance of the data, so that the resulting factors are more accurate in describing student preferences. The study results indicate that six key factors affect students' preferences when selecting a SIM card: price, service, network quality, promotional offers, extra features, and bonuses. Understanding these factors, service providers can design more effective marketing strategies to attract and retain student customers.

INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCHVol. 13(05)
Diponegoro University (ID)
Openalex Percentile: Top 83%
Technology and Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.