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All Journal Jurnal Geuthee
Nurita, Fonna
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Education Energy Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Discriminant analysis of fast food consumption behavior among university students: a case study Nurita, Fonna; Umam, Khairul; Yuni, Cut; Tanjung, Azbar; Ansari, Marzuki
Jurnal Geuthèë: Penelitian Multidisiplin Vol 8, No 2 (2025): Jurnal Geuthèë: Penelitian Multidisiplin
Publisher : Geuthèë Institute, Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/jg.v8i2.424

Abstract

A shift in dietary patterns towards fast-food consumption, including among university students, has the potential to impact health and lifestyle. This study aimed to analyze the factors that differentiate fast-food consumption behavior (frequent versus infrequent categories) among students of the Mathematics Education Study Program, academic year 2022-2024, at Syiah Kuala University in Banda Aceh. Using a quantitative descriptive approach with a survey method, data were collected through questionnaires from 59 respondents. Fisher's discriminant analysis was employed to classify consumption behavior. The findings reveal that the majority of students (35 out of 59) fell into the frequent consumption category, indicating a need for closer attention to the dietary patterns of this group. Based on the analysis of discriminant function coefficients, the most influential factors in differentiating consumption behavior were lifestyle, service quality, a varied menu, an affordable price, and a strategic location. The discriminant model demonstrated an accuracy of 81.4% on cross-validated cases, indicating an effective predictive capability. The implications of this research highlight an urgent need for nutritional education interventions and policies that support healthy eating patterns to curb the fast-food consumption trend among students and the wider community, considering the significant health risks associated with this behavior.
Determination of career preferences among marine science students through discriminant analysis Umam, Khairul; Mastura, Ayu; Ansari, Marzuki; Nurita, Fonna; Rahayu, Latifah; Yuni, Cut; Ramadhan, Riski
Jurnal Geuthèë: Penelitian Multidisiplin Vol 8, No 1 (2025): Jurnal Geuthèë: Penelitian Multidisiplin
Publisher : Geuthèë Institute, Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/jg.v8i1.392

Abstract

The process of selecting a profession frequently poses a challenge for students transitioning into the workforce, including those in Marine Science. This decision necessitates careful consideration due to its direct correlation with their career trajectory and future prospects. This research aims to predict the professional preferences of Marine Science students towards careers as Conservation Experts, Environmental Impact Analysts, and Aquaculture Technicians, based on their academic course grades. This study employs a descriptive quantitative approach using literature research. The population of this research consists of Marine Science students from the 2020 cohort. A sample of 50 students was selected using simple random sampling techniques. Data were collected through documentation techniques, specifically student transcript records, and analyzed using Fisher's discriminant analysis with SPSS to formulate predictive functions. The results indicate that the formulated discriminant functions can accurately predict professional preferences based on course grades, achieving an accuracy rate of 88%. This high accuracy rate suggests that the derived discriminant function model has the potential to serve as a valuable tool for Marine Science students in making informed career decisions that align with their academic abilities, thereby minimizing uncertainty in determining suitable career paths.
Co-Authors Ansari, Marzuki Khairul Umam Mastura, Ayu RAHAYU, LATIFAH Ramadhan, Riski Tanjung, Azbar Yuni, Cut