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

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Pemanfaatan Teknologi AI untuk Inovasi dan Efisiensi di Era Digital dengan Memperhatikan Kelebihan, Kekurangan, dan Dampaknya bagi Siswa/i SMP Sebelas Maret Kaila Nazuwa; Adis Tiani; Helmayana; Intan Pramesta Nurhayati; Yuriana Sari Harahap
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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Artificial intelligence (AI) technology has opened many doors in the world of education, especially to improve efficiency and innovation in the teaching and learning process. The purpose of this study is to see how artificial intelligence technology is used by students of SMP Sebelas Maret. The study will explore the benefits, disadvantages, and effects produced. Educational chatbots, adaptive learning applications, and automated assessment tools are all examples of AI used to assist teachers and meet students' specific learning needs. The results of the study indicate that the main advantages of using AI lie in the ability to present customizable and interactive materials, increase the desire to learn, and increase time efficiency in learning management. However, there are some disadvantages, such as dependence on technology, students' lack of understanding of digital ethics, and the potential for reduced social interaction. Students of SMP Sebelas Maret experienced a significant impact, with improved learning outcomes and a shift towards more independent learning. To ensure that the use of AI does not cause problems or adverse effects in the long term, adequate digital literacy and mentoring are needed. In conclusion, AI has great potential to be an effective tool to support educational transformation in the digital era. However, it must be used carefully, adaptively, and contextually to meet the readiness of the educational environment. The study found that teachers need to be better trained and that policies for the use of AI in junior high schools need to be made targeted and sustainable.
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 Adis Tiani Ahmad Taher Helmayana Indra Bagoes Mu’afa Intan Pramesta Nurhayati Maulana Fansyuri Muhamad Firly Refo Altalario Bintang Anugrah Yuriana Sari Harahap