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All Journal Journal of Natural Sciences and Mathematics Research Jurnal Pengabdian kepada Masyarakat Nusantara
Sofia, Ainin
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Materials Science & Nanotechnology Physics Social Sciences

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Penyuluhan Gizi Seimbang Pada Anak Usia Sekolah di UPT SDN 145 Gresik Ayu, Friska; Afina, Rizka Dany; Raudhatul Jannah, Ken Putri; Sofia, Ainin; Adani, Tarissa Shinta; Cahyawati, Nindy Kurnia; Riskiani, Aprillia; Rahmawati, Vidia; Larasati, Diah Ayu; Mulyani, Mulyani; Alfiah, Anggi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 4 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Edisi September - Desembe
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i4.4001

Abstract

Balanced nutrition education for school-age children is a crucial effort to enhance understanding and awareness of the importance of healthy eating habits that support optimal growth and development. This study aims to evaluate the impact of balanced nutrition education conducted at UPT SDN 145 Gresik on students' knowledge and eating habits. The method used was direct conseling with an interactive approach involving 82 students from grades 5 to 6. The materials presented include the concepts of "My Plate," energy, carbohydrates, proteins, fats, and the four pillars of balanced nutrition. The evaluation results showed a significant increase in students' understanding of balanced nutrition and positive changes in their daily food choices. This education successfully fostered awareness of the importance of consuming nutritious foods and adopting a healty lifestyle from an early age. Therefore, similar programs are recommended for widespread implementation to childrens' health in school environments.
Comparative study of artificial Neural Network and Kalman Filter models for blood demand forecasting at PMI Surabaya Sofia, Ainin; Teguh Herlambang; Rizqi Putri Nourma Budiarti; Endang Sulistiyani
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 2 (2025): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i2.28540

Abstract

Blood plays a vital role in human health, making the need for donors and transfusions crucial. Currently, the Indonesian Red Cross (PMI) in Surabaya faces a balance issue between blood supply and demand. To address this, a blood demand forecasting model has been created at the PMI using ANN with a 4% error rate. The Kalman Filter algorithm is known to significantly reduce prediction errors from the prediction and correction process, while an ANN is considered capable of handling data complexity and nonlinearity. Therefore, this study aims to analyze the performance of the ANN and Kalman Filter models and compare the model performance results to determine the model with the best performance level. The modelling uses the CRISP-DM method, which starts from data understanding, data preparation, data modelling, model evaluation, and forecasting. The results of this study indicate that the Kalman Filter model successfully minimizes errors compared to the ANN prediction results, achieving a model accuracy level reaching 93.1%. These results demonstrate that the Kalman Filter model can significantly reduce prediction errors in the prediction and correction process, making it more optimal than the ANN model in forecasting blood demand at the PMI in Surabaya.
Co-Authors Adani, Tarissa Shinta Afina, Rizka Dany Alfiah, Anggi Ayu, Friska Budiarti, Rizqi Putri Nourma Cahyawati, Nindy Kurnia Endang Sulistiyani Larasati, Diah Ayu Mulyani Mulyani Raudhatul Jannah, Ken Putri Riskiani, Aprillia Teguh Herlambang Vidia Rahmawati, Vidia