<pre>School institutions are one of the areas of community activity that must implement health protocols in order to prevent the spread of covid-19. The implementation of health protocols in the prevention of Covid-19 requires the support of various components in schools including the commitment of policy maker, community support and facilities as well as increasing the capacity to empowerment of school communities. The purpose of this activity is to provide support to schools in implementing the adaptation of new habits in schools. A total of 34 teachers / staff from 4 schools were involved in this activity. The activity stages include advocacy, creative supportive environment and social support as well as community empowerment. The results of this activity obtained the same perception and strong commitment from the principal regarding Covid must be a concern. Build an atmosphere and create a supportive environment by building community support (inside / outside of school) as well as providing physical facilities in implementing AKB. Community empowerment activities are carried out through ToT (Training of Trainers) regarding healthy behavior in adapting to new habits in schools in increasing knowledge and building positive attitudes about Covid-19. Suggestions are given to schools to keep commitments and provide support in providing facilities at schools and teachers / staff are expected to convey information about the adaptation of new habits to all students.</pre><p> </p><p><strong>Keywords </strong>: Adaptation to new habits, covid-19, school</p>
Stunting merupakan masalah serius dalam pembangunan kesehatan di Indonesia. Stunting merujuk pada kondisi dimana pertumbuhan dan perkembangan anak terhambat karena faktor-faktor seperti kurang gizi, infeksi berulang, dan kurangnya stimulasi psikososial yang memadai. Stunting memiliki dampak besar terhadap kehidupan dan perkembangan anak, termasuk penurunan kemampuan kognitif, keterampilan motorik, dan daya tahan tubuh yang lemah. Deteksi dini stunting sangat penting untuk mencegah dampak jangka panjang yang merugikan. Pengembangan sistem informasi deteksi dini stunting dapat menjadi solusi efektif dalam mengurangi keterlambatan pendeteksian stunting pada anak. Dengan menerapkan metode UCD pengembang dapat memastikan bahwa sistem yang dikembangkan mudah digunakan dan dimengerti oleh pengguna, termasuk petugas kesehatan dan orang tua yang terlibat dalam pendeteksian stunting. Penelitian ini bertujuan untuk mengembangkan sistem informasi pendeteksi dini stunting menggunakan metode User Center Design di Kota Tasikmalaya. Pendekatan ini diharapkan dapat meningkatkan keterlibatan pengguna, memenuhi kebutuhan mereka, dan memungkinkan pengguna untuk memahami fungsi sistem hanya dengan satu kali penggunaan. Metode pengujian yang dilakukan yaitu usability testing dan blackbox testing untuk mengevaluasi kegunaan dan fungsionalitas sistem. Hasil pengujian menunjukkan bahwa sistem memenuhi persyaratan fungsional dan memiliki kegunaan yang baik.
Research on Graph Neural Networks has influenced various current real-world problems. The graph-based approach is considered capable of effectively representing the actual state of surrounding data by utilizing nodes, edges, and features. Consider the feedforward neural network and the graph neural network approaches, we determine the accuracy of each method. In the baseline experiment, training and testing were performed using the NN approach. The resulting accuracy of FNN was 72.59% and GNN model has increased by 81.65%. There is a 9.06% increase in accuracy between the baseline model and the GNN model. The new data utilized in the model predictions showcases the probabilities of each class through randomly generated examples.
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