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Sosialisasi Penerapan Aplikasi Mobile Dalam Pembelajaran Bahasa Inggris Untuk Mahasiswa Sistem Informasi Suerni; Eka Ramadhani Putra; Dinda Salsabila Ritonga
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 1 No. 4 (2023): November: Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i4.522

Abstract

This study aims to analyze the socialization process of implementing a mobile application for English language learning among Information Systems students and to evaluate the effectiveness of the socialization. The research employs a descriptive qualitative method, collecting data through observation, interviews, questionnaires, and documentation. The subjects consist of 30 students purposively selected based on their interest and readiness to participate in the socialization. The socialization process includes material delivery, application demonstration, and brief training. Results show an increase in students’ positive perceptions regarding the ease of use and benefits of the application in supporting English learning. Additionally, students’ learning interest significantly improved after the socialization. The effectiveness evaluation reveals that the delivered material is easy to understand, and the interactive methods successfully engage student enthusiasm. The usage of the mobile application among students notably increased, both in terms of downloads and routine usage frequency. However, some challenges remain related to motivation for consistent application use, which should be addressed in future development and socialization efforts. This study recommends enhancing technical support and motivation strategies to encourage sustainable adoption. Thus, implementing mobile applications in English learning can be an effective alternative to improve learning quality in the digital era.
Penyuluhan Penerapan Naive Bayes Untuk Identifikasi Keterlambatan Perkembangan Anak Berdasarkan Data Kesehatan Pada Program Studi Kebidanan Fahruzi Sirait; Eka Ramadhani Putra; Nailatun Nadrah; Rika Handayani; Yusril Iza Mahendra Hasibuan
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 2 No. 4 (2024): November: Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i4.525

Abstract

Child developmental delay is a public health issue that needs to be identified early to prevent long-term impacts on children’s quality of life. In Rantau Prapat Sub-district, cases are still found among toddlers with undernutrition, incomplete immunizations, and suboptimal developmental stimulation, which may pose risks of growth and developmental delays. This study aims to apply the Naive Bayes method in identifying child developmental delays based on health data collected through medical records and questionnaires. The research method includes data collection, pre-processing (cleaning, transformation, and normalization), classification using the Naive Bayes algorithm, and model validation with the k-fold cross-validation technique. The results showed that out of 150 toddler data samples, 30.7% experienced developmental delays, with the dominant influencing factors being nutritional status and immunization completeness. The Naive Bayes algorithm achieved an accuracy rate of 87.3% with a precision of 84.1%, recall of 85.7%, and F1-score of 84.9%. These findings demonstrate that Naive Bayes can be used as a decision support system in the early identification process of child developmental delays. Therefore, the results of this study are expected to assist healthcare workers, particularly midwives, in improving the quality of early detection and delivering more targeted interventions for children in the Rantau Prapat area.