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All Journal Jurnal Penelitian Teknologi Informasi dan Sains Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Panggung Kebaikan : Jurnal Pengabdian Sosial
Safrial Safrial
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice

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Pengabdian Masyarakat : Implementasi Teknologi Pendidikan di SMAN 4 Padang Sidempuan Safrial Safrial
Panggung Kebaikan : Jurnal Pengabdian Sosial Vol. 2 No. 1 (2025): Februari : Panggung Kebaikan : Jurnal Pengabdian Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/panggungkebaikan.v2i1.1213

Abstract

Technological advances have a significant impact on the world of education, including at the Senior High School (SMA) level. This community service aims to improve the understanding and application of educational technology at SMAN 4 Padang Sidempuan in order to improve the quality of learning. The methods used include teacher training, assistance in implementing technology in learning, and evaluation of the effectiveness of its application. The results show that the use of technology such as Learning Management System (LMS), interactive multimedia, and learning software increases student engagement and teaching effectiveness. The use of educational technology also contributes to improving the quality of learning that is more interactive and flexible. However, the challenges faced in implementing educational technology include the readiness of educators, school infrastructure, and the gap in access to technology for students. Therefore, a comprehensive approach is needed in developing human resources and utilizing more optimal technology.
Penerapan Sistem Informatika di Sekolah Untuk Meningkatkan Efektivitas Pembelajaran Safrial Safrial
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 1 (2025): Februari : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i1.391

Abstract

Informatics systems have an important role in improving the effectiveness of the learning process in schools. This study aims to analyze the effect of the application of informatics systems on the quality of learning. The research method used is an experimental study with a quantitative approach. Data were collected through observation, interviews, and questionnaires given to students and teachers. The results of the study indicate that the use of informatics systems, such as e-learning and technology-based academic management, can improve the efficiency of school administration and facilitate student access to learning materials. These findings indicate the importance of technology integration in the world of education.
Implementasi Algoritma Naïve Bayes untuk Deteksi Dini Risiko Hipertensi Berdasarkan Distribusi Usia pada Layanan Kesehatan Julio Warmansyah; Safrial Safrial; Alam Supriatna; Wiwit Thoyyibah
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4415

Abstract

Hypertension is one of the leading non-communicable diseases contributing significantly to cardiovascular morbidity and mortality worldwide. Despite the availability of extensive electronic medical record data in healthcare institutions, these data are often utilized only for administrative reporting rather than predictive analysis. Consequently, opportunities to identify age groups with a higher probability of developing hypertension remain underutilized. This study aims to implement the Naïve Bayes classification algorithm to analyze age distribution and classify the risk of hypertension among patients using healthcare data. The research adopted the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Patient medical record data consisting of demographic and clinical attributes, including age, systolic blood pressure, diastolic blood pressure, body weight, gender, and hypertension status, were processed using the Naïve Bayes algorithm. Model performance was evaluated using a confusion matrix by measuring accuracy, precision, recall, specificity, and balanced accuracy. The implementation demonstrates that the Naïve Bayes algorithm is capable of classifying hypertension risk efficiently while providing probabilistic information regarding age groups with a higher tendency to experience hypertension. The resulting classification model offers an effective decision-support tool for healthcare providers in conducting targeted screening, preventive interventions, and evidence-based health planning. The findings also indicate that data mining techniques can transform routinely collected medical records into valuable clinical knowledge for early hypertension prevention and healthcare decision-making.
Co-Authors Alam Supriatna Julio Warmansyah Wiwit Thoyyibah