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

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Pemanfaatan Desain Grafis dalam Pembuatan Iklan Digital untuk Meningkatkan Brand Awareness di SMK Media Informatika Raffa Nurprasetyo Araya; Indra Bagoes Muafa; Firmansyah; Athila Defian Rizkimu; Ahmad Taher
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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The continuous development of digital technology has significantly influenced how educational institutions present and promote their identity. One proven strategy is the application of graphic design in developing digital advertisements to strengthen brandawareness. This Community Engagement (PKM) initiative was designed to enhance the knowledge and technical abilities of students at SMK Media Informatika, especially those majoring in Multimedia, in producing compelling and effective digital advertisements. The implementation involved visual design workshops, hands-on promotional content creation, and assessment of student projects. The outcome of this programindicated a notable improvement in students' skills in applying design principles and in their understanding of the role of visual identity in educational promotion. Moreover, the activity fostered student engagement in creatively representing their school through digital platforms. This initiative is expected to serve as a replicable model for empowering students in digital promotional practices at other educational institutions.
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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Abstract

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 Athila Defian Rizkimu Firmansyah Indra Bagoes Muafa Indra Bagoes Mu’afa Kaila Nazuwa Maulana Fansyuri Muhamad Firly Raffa Nurprasetyo Araya Refo Altalario Bintang Anugrah