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All Journal Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Journal of Information Technology and Informatics Engineering
Gusti Alfian
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Other

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Penggunaan Media Sosial Sebagai Platform Utama Untuk Branding Digital Mahis Duhan; Gusti Alfian; Ardiansyah; Refo Altalario Bintang Anugrah; Feriandri Lesmana
Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Vol 1 No 1 (2025): Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat
Publisher : PT Jurnal Cendekia Indonesia

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In today’s digital landscape, social media serves as a vital medium for establishing and enhancing brand image. This research explores how social media functions as a key platform for executing digital branding strategies, with a focus on small and medium-sized businesses as well as organizations aiming to broaden their market reach. Utilizing a qualitative descriptive methodology, the study investigates how content delivery, user engagement patterns, and visual presentation contribute to brand perception on platforms like Instagram, Facebook, and TikTok. The data were sourced from literature studies, field observations, and interviews with socially active SMEs. The results indicate that effective branding in the digital sphere is closely tied to consistent brand messaging, compelling visual content, responsive communication, and alignment with audience demographics. Social media platforms offer more than just communication channels—they enable dynamic interactions and empower users to shape brand stories collaboratively. This paper concludes that social media offers a highly adaptable, cost-effective solution for branding and opens competitive opportunities for SMEs in the digital economy. The study recommends that business actors maximize their social media potential by crafting structured content strategies and communication plans that reflect consumer behavior and current digital dynamics.
Analisis Faktor Cuaca Terhadap Keputusan Bermain Badminton Menggunakan Algoritma Naive Bayes Gusti Alfian; Ageng Samudro Ndiko Laksono; Ardiansyah; Mahis Duhan; Raffa Nurprasetyo Araya; Maulana Fansyuri
Journal of Information Technology and Informatics Engineering Vol 1 No 1 (2025): Journal of Information Technology and Informatics Engineering (JITIE)
Publisher : PT Jurnal Cendekia Indonesi

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By utilizing the Naive Bayes algorithm as a classification method, this study investigates how weather factors influence a person's decision to play badminton. The Badminton dataset, including attributes such as weather conditions, air temperature, humidity levels, and wind conditions, was collected and processed using RapidMiner software. The preprocessing stage involved data cleaning and transforming the attributes to be suitable for analysis. To predict the decision to play badminton based on weather conditions, the Naive Bayes algorithm was chosen due to its capability to compute class probabilities easily and effectively.This study found that weather factors significantly influence a player's decision to play badminton, and the Naive Bayes model demonstrated the ability to make reasonably accurate predictions. In conclusion, the Naive Bayes algorithm can be effectively used to predict players' decisions in playing badminton
Co-Authors Ageng Samudro Ndiko Laksono Ardiansyah Feriandri Lesmana Mahis Duhan Maulana Fansyuri Raffa Nurprasetyo Araya Refo Altalario Bintang Anugrah