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All Journal Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Ilmiah Ekonomi Islam Jurnal ICMES: The Journal of Middle East Studies Journal of Islamic Economics Lariba International Journal of Management and Business Economics Journal of Economics, Entrepreneurship, Management Business and Accounting Warta LPM Southeast Asia Journal of Graduate of Islamic Business and Economics Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial
Joval Ifghaniyafi Farras
Department Of Economy And Business, Padjadjaran University Of Bandung, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Algorithm Effectiveness In Digital Content Joval Ifghaniyafi Farras; Raden Rifqi Dwisanto
SOUTHEAST ASIA JOURNAL oF GRADUATE OF ISLAMIC BUSINESS AND ECONOMICS Vol. 4 No. 2 (2025): September
Publisher : Pascasarjana, Institut Agama Islam Sultan Muhammad Syafiuddin Sambas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37567/sajgibe.v4i2.4183

Abstract

This research aims to map the effectiveness of algorithms in digital content strategy across different industries and platforms through a systematic literature review of 50 selected articles published between 2016-2025. The focus of the review includes algorithmic personalisation, consumer engagement, ethical considerations, and recent technology trends. The results of the thematic analysis show that AI-based personalisation-through recommendation engines, predictive analytics, and generative AI-consistently improves content relevance, engagement, retention, conversion, and brand loyalty in sectors such as e-commerce, social media, and luxury branding. However, issues of privacy, algorithmic transparency, bias and the risk of content homogeneity remain significant challenges affecting user trust. Variations in effectiveness across industries and platforms indicate the need to customise strategies based on cultural context, demographic and technical characteristics of the platform. New trends such as influencer integration, real-time adaptive marketing and generative AI-based content show great potential, but require ethical governance and rigorous empirical testing. This study confirms the importance of balancing the benefits of algorithmic personalisation with privacy protection, content diversity and transparency to ensure the sustainability of digital marketing strategies in a dynamic ecosystem
TREN PENELITIAN INTEGRASI AR/VR, CHATBOT, DAN GAMIFIKASI DALAM PEMASARAN DIGITAL Joval Ifghaniyafi Farras; Desty Kirana Hapsari; Camelia Rizki Agrina
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 4 (2025): AGUSTUS - SEPTEMBER 2025
Publisher : PT. Intelek Cendikiawan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi digital mendorong adopsi strategi pemasaran inovatif melalui integrasi teknologi imersif seperti Augmented Reality (AR), Virtual Reality (VR), chatbot berbasis kecerdasan buatan, dan mekanisme gamifikasi. Penelitian ini menggunakan analisis bibliometrik terhadap publikasi di basis data Scopus (periode 2020–2025) untuk memetakan tren penelitian, kata kunci dominan, dan kolaborasi penulis terkait penerapan teknologi tersebut dalam digital marketing. Data dianalisis menggunakan VOSviewer dan Biblioshiny untuk menghasilkan visualisasi jaringan, klaster tematik, serta statistik publikasi. Hasil menunjukkan tiga klaster utama: (1) teknologi imersif (AR/VR) yang meningkatkan keterlibatan emosional dan persepsi nilai konsumen, (2) media sosial dan interaksi konsumen yang memperkuat komunikasi dua arah melalui influencer marketing dan konten buatan pengguna, serta (3) pengalaman konsumen dan analitik data yang menggabungkan personalisasi dengan big data dan machine learning untuk strategi berbasis prediksi. Temuan ini menegaskan bahwa digital marketing bersifat multidisipliner, menggabungkan teknologi, psikologi konsumen, dan analitik data sebagai fondasi utama pengambilan keputusan strategis
Co-Authors Adhadian Akbar Akhmad Yunani Andreas Recki Prasetyo Aulia, Sulthonul Camelia Rizki Agrina Cattleya Rejito Desty Kirana Hapsari Fadillah, Afrizal Fahri Setiono, Muhammad Iman Chaerudin Iman Chaerudin Ina Primiana Irsyad Kamal Jasmine Hanjani Putri Latifa Mischa Saqina Muhammad Aqshel Revinzky Nugraha, Denny Sidharta Raden Rifqi Dwi Santo Raden Rifqi Dwisanto Rd. Rifqi Dwisanto Setiono, Muhammad Fahri Vita Sarasi Vita Sarasi