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All Journal Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Journal of Information Technology and Informatics Engineering
Refo Altalario Bintang Anugrah
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.
Prediksi Tingkat Kepuasan Pasien Fisioterapi Menggunakan Algoritma Naive Bayes Kaila Nazuwa; Indra Bagoes Mu’afa; Muhamad Firly; Ahmad Taher; Refo Altalario Bintang Anugrah; 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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This study aims to predict patient satisfaction levels in physiotherapy services using the Naive Bayes algorithm. Patient satisfaction is a key indicator of healthcare service quality, and this prediction is based on attributes such as age, gender, session duration, and therapist expertise. The dataset, consisting of 31 entries, was analyzed using RapidMiner software. The classification process applied the Naive Bayes model, known for its simplicity, computational efficiency, and strong performance even with limited data. Evaluation results showed an accuracy rate of 90%, with balanced precision and recall between the "satisfied" and "dissatisfied" categories. These find-ings demonstrate that data mining techniques can serve as valuable tools to support continuous improvement in physiotherapy service quality.
Co-Authors Ahmad Taher Ardiansyah Feriandri Lesmana Gusti Alfian Indra Bagoes Mu’afa Kaila Nazuwa Mahis Duhan Maulana Fansyuri Muhamad Firly