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All Journal INFORMATIKA An-Nashiha: Journal of Broadcasting and Islamic Comunication Studies
Syti Salwaa Nafiisah
Universitas Negeri Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering Social Sciences

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Algoritma Media Sosial dan Pengaruhnya terhadap Pola Pikir Keagamaan Siswa MAN 1 Medan (Studi pada Konten Dakwah Pendek) Syti Salwaa Nafiisah; Azril Arfansyah; Shaqila Rahmayani Gultom; Ridho Affandi; Umar Mukhtar Siregar
AN-NASHIHA Journal of Broadcasting and Islamic Communication Studies Vol. 6 No. 1 (2026): April : Jurnal AN-Nashiha Journal of Broadcasting and Islamic Communcation Stud
Publisher : Institut Pesantren Sunan Drajat Lamongan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55352/an-nashiha.v6i1.2823

Abstract

The rapid development of social media technology, particularly through algorithm-based content recommendation systems, has significantly transformed the distribution and consumption of religious information among adolescents. These algorithms personalize content exposure based on users’ interactions, preferences, and engagement patterns, thereby increasing the visibility of short-form da’wah content on platforms such as TikTok, Instagram Reels, and YouTube Shorts. This study aims to examine the influence of social media algorithms on the religious mindset of students at MAN 1 Medan, focusing on how exposure to short-form religious preaching content shapes their understanding, attitudes, and responses toward religious issues. Employing a quantitative research approach with a survey method, data were collected through structured questionnaires distributed to students and analyzed descriptively to identify patterns of digital engagement and their relationship with religious cognition. The findings indicate that algorithm-driven content recommendations play a meaningful role in directing students’ access to particular religious narratives, which subsequently contributes to the formation and reinforcement of their religious perspectives. These results highlight that social media functions not only as a communication platform but also as a digital environment that actively influences the development of religious thought among young users in the contemporary digital era.
ANALISIS PERFORMA ALGORITMA QUICK SORT DAN MERGE SORT PADA PENGURUTAN DATA BESAR ( BIG DATA )  MENGGUNAKAN NOTASI BIG-O Calvin Syahputra; Syti Salwaa Nafiisah; Shaqila Rahmayani Gultom; Ridho Affandi; Adidtya Perdana
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1661

Abstract

The rapid development of information technology has led to an exponential increase in data volume, requiring efficient and high-performance sorting algorithms. Sorting is one of the fundamental operations in large-scale data processing. This study aims to analyze the performance of the Quick Sort and Merge Sort algorithms in sorting large datasets based on time complexity using Big-O notation. The research method employed is experimental, by implementing both algorithms on datasets of various sizes, then measuring execution time and analyzing their time complexity under best-case, average-case, and worst-case conditions. The results show that Quick Sort performs faster on average with a time complexity of O(n log n), but its performance can degrade to O(n²) in the worst case. Meanwhile, Merge Sort demonstrates more stable performance with a time complexity of O(n log n) in all cases, although it requires additional memory usage. Based on these findings, the selection of sorting algorithms for large-scale data             should consider data characteristics and memory requirements to achieve optimal performance.
Co-Authors Adidtya Perdana, Adidtya Azril Arfansyah Calvin Syahputra Ridho Affandi Shaqila Rahmayani Gultom Umar Mukhtar Siregar