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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.
BekasMart: Marketplace C2C Berbasis Web dengan Fitur Lelang dan Penjualan Langsung Nafil Rizq Trianto; Azril Arfansyah; Arion Pardede; Debi Yandra Niska
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 8 No. 1 (2026): Juni 2026
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v8i1.17157

Abstract

Customer to Customer (C2C) transactions on social media were often hindered by manual bid recapitulation and bid-and-run fraud risks due to the absence of an integrated platform. This study designed and developed a web-based C2C marketplace information system named BekasMart, integrating direct sales and auction features using a Guest System architecture. The Waterfall method was applied, covering requirements analysis, system design using Unified Modeling Language (UML), implementation with the CodeIgniter 4 framework, and Black Box Testing. Results demonstrated that the Guest System architecture, based on WhatsApp number validation, successfully facilitated transactions without conventional login bureaucracy. Transaction security was maintained through an Escrow (Rekber) mechanism and WhatsApp Direct Link integration. Functional testing confirmed the system processed bids automatically with a 100% success rate.