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Perancangan Sistem Informasi Posyandu Berbasis Website pada Posyandu Edelweis Babelan Desa Bahagia Kabupaten Bekasi Bimantoro, Dava Sevtiandra; Raihan, Farid; Siahaan, Bangun; Nurmaylina, Vivi; Sarimole, Frencis Matheos
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.283

Abstract

The use of digital technology, primarily through the use of the Posyandu website, has positively impacted the efficiency and effectiveness of recording and reporting Posyandu activities. This article explores digitalization's role in optimizing community health services at the Posyandu level. The author used the data collection method: direct observation of the Edelweis Posyandu activities. The results show that implementing the Posyandu website has simplified the process of recording and reporting activities, reduced the workload for cadres, and increased data accessibility for health workers. Apart from that, digitalization also helps increase cadres' digital literacy, enabling them to use technology more effectively in their tasks. In conclusion, the digitization of Posyandu has excellent potential to strengthen its role as a provider of integrated and efficient public health services.
Analisis Pengaruh Media Sosial X Terhadap Sikap dan Perilaku Remaja Menggunakan K-Means Clustering Raihan, Farid; Sutisna
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.991

Abstract

This research aims to analyze the influence of social media X on adolescent attitudes and behavior using the K-means clustering method. Social media has an important role in everyday life, especially among teenagers, who are vulnerable to external influences in shaping their attitudes and behavior. In this study, data was collected through a survey covering aspects such as frequency of use, type of content consumed, and social interactions on the platform. The K-means clustering method is used to group teenagers based on their patterns of social media use and the characteristics of their attitudes and behavior. The results of the analysis show that there are several clusters that indicate a significant relationship between the intensity of use of social media X and changes in teenagers' attitudes and behavior. These findings provide valuable insights for parents, educators, and policy makers in understanding the impact of social media on adolescent development and formulating strategies to mitigate its negative effects.