Analisis Mata Kuliah Peminatan Prodi Sistem Informasi Terhadap Semester 6 Universitas Islam Negeri Sumatera Utara

This research analyzes the trend of course selection among sixth semester students of the Information Systems Study Program at the Islamic University of North Sumatra (UINSU). The method used is descriptive quantitative with a survey approach. Data was collected through an online questionnaire distributed using Google Form. The resulting data was analyzed descriptively quantitatively. The results show that the majority of students chose Big Data Analytics, which is (50%) out of (100%), where 25 out of 50 students who completed the survey chose Big Data Analytics. This is followed by Multimedia (34%) and Artificial Intelligence (16%). The main factors for choosing are personal interest and relevance to career prospects. Big Data Analytics is considered the most challenging, yet it also aligns best with student expectations. This finding underscores the need for adaptive curriculum development and directed academic guidance so that specializations are more relevant to industry needs and student interests

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Publication Details

Journal
Indo-MathEdu Intellectuals Journal
Published
2025-06-13
DOI
https://doi.org/10.54373/imeij.v6i3.3336
Primary Topic
Decision Support System Applications
Type
article
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article

Analisis Mata Kuliah Peminatan Prodi Sistem Informasi Terhadap Semester 6 Universitas Islam Negeri Sumatera Utara

Ali Napiah Nasution, Rifky Ardiyansyah, Suci Fadhilah Nur, Dannis Risya Harianto et al.
Indo-MathEdu Intellectuals Journal
Decision Support System Applications
article

Analisis Mata Kuliah Peminatan Prodi Sistem Informasi Terhadap Semester 6 Universitas Islam Negeri Sumatera Utara

Ali Napiah Nasution, Rifky Ardiyansyah, Suci Fadhilah Nur, Dannis Risya Harianto, Wiza Sintia Meliani, Ikhsan Pratama
article en

Abstract

This research analyzes the trend of course selection among sixth semester students of the Information Systems Study Program at the Islamic University of North Sumatra (UINSU). The method used is descriptive quantitative with a survey approach. Data was collected through an online questionnaire distributed using Google Form. The resulting data was analyzed descriptively quantitatively. The results show that the majority of students chose Big Data Analytics, which is (50%) out of (100%), where 25 out of 50 students who completed the survey chose Big Data Analytics. This is followed by Multimedia (34%) and Artificial Intelligence (16%). The main factors for choosing are personal interest and relevance to career prospects. Big Data Analytics is considered the most challenging, yet it also aligns best with student expectations. This finding underscores the need for adaptive curriculum development and directed academic guidance so that specializations are more relevant to industry needs and student interests

Indo-MathEdu Intellectuals JournalVol. 6(3)
Universitas Islam Negeri Sumatera Utara (ID)
Openalex Percentile: Top 77%
Decision Support System Applications
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Analisis Mata Kuliah Peminatan Prodi Sistem Informasi Terhadap Semester 6 Universitas Islam Negeri Sumatera Utara — Ali Napiah Nasution, Rifky Ardiyansyah, et al. · Indo-MathEdu Intellectuals Journal (2025) | TGRS Research Map | TGRS