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All Journal Multica Science and Technology Academica : Jurnal Pengabdian Kepada Masyarakat
Vera Novalia
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Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences

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APPLICATION AND ATTRIBUTE ANALYSIS IN THE MODEL OF CLASSIFYING HEART DISEASE Rosdiana Rosdiana; Vera Novalia; Hafizh Al Kautsar Aidilof; Muhammad Danil; Muhammad Ikhsanul Fikri
Multica Science and Technology Vol 1 No 2 (2021): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v1i2.280

Abstract

The heart is the central center in the human circulatory system. A malfunction of the heart that is not functioning is a condition in which the heart cannot carry out its duties properly. Selection of features that can reduce a very large dataset and in a data set that is not suitable can use a reduction model. The classification process is strongly influenced by an attribute. Various types of inappropriate redundancy have a negative effect on classification accuracy. Heart disease data was taken from the UCI Machine Learning Repository dataset. In this study, the researchers used the K-Nearest Neighbor (KNN) algorithm where the K-Nearest Neighbor algorithm can classify the results of heart disease accurately. The results are as follows 1.67358 rank one 1.33949 rank two, 1.27260 rank three, 1.2528 rank four, 1.24193 rank last
Edukasi Pencegahan Stunting Pada Balita Keluarga Binaan Di Desa Uteunkot Kota Lhokseumawe Mardiati, Mardiati; Khairunnisa, Cut; Vera Novalia
Academica : Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2024): Academica : Jurnal Pengabdian Kepada Masyarakat
Publisher : Lembaga Pusat Studi Sosial dan Humaniora [LPS2H]

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12771140

Abstract

Stunting continues to be a health issue that has not been effectively resolved in many regions of Indonesia, including Lhokseumawe. Lhokseumawe City's accomplishment of lowering the prevalence of stunting from 28.1% in 2021 to 20.7% in 2023 earned it the second-lowest stunting rate among all regions, following the Gayo Lues Regency. Although child stunting persists in Uteunkot Village, its prevalence is relatively small. This can be attributed to the lack of awareness among families and the community regarding the causes and preventive measures for stunting. This finding hinders the realization of “Lhokseumawe zero-stunting.” The purpose of this community service is to educate foster families in Uteunkot Village about the importance of preventing stunting among toddlers. Health education activities were delivered through a combination of interactive lectures, question-and-answer sessions, and the distribution of informative brochures. The results showed that the knowledge of foster family members increased after receiving education and brochures. The following advice is recommended for all foster family members in Uteunkot Village. To prevent stunting, ensuring proper nutrition during pregnancy and childbirth is crucial. Adequate nutrition is also vital for toddlers and children under the age of two. Providing education on stunting should be done continuously to the general public in an effort to disseminate information on stunting prevention.
Co-Authors Cut Khairunnisa Hafizh Al Kautsar Aidilof Hery Widijanto Mardiati Mardiati Muhammad Ikhsanul Fikri Rosdiana Rosdiana