3 research outputs found
How to Increasing Prolactine Levels of Breastfeeding Mother with Consumption Katuk (Sauropus androgynous(L)Merr) Leaf
No full textInadequate breast milk production is the most common inhibiting factor causing the cessation of exclusive breastfeeding practices an effort to increase the rate of secretion and production of breast milk is through the use of traditional herbal medicines such as decoction and extraction of katuk leaf (Sauropus androgynous). Katuk leaf extract (Sauropus androgynous) has been known to have a variety of pharmacological activities. This paper aims to review the botany, phytochemistry, ethnopharmacology, and pharmacological activities of S. androgynous, and discuss the known chemical constituents at work in S. androgynous-induced prolactin levels to increase breast milk in humans. The data presented in this review were collected from published literature as well as the electronic databases of PubMed, CNKI, Web of Science, SCI finder, ACS, Science Direct, Wiley, Springer, Taylor, Google Scholar, and a number of unpublished resources, (ex: books, and Ph.D. and M.Sc. dissertations). Searching for research articles in several databases using certain keywords breast milk human and katuk (Sauropus Androgynus) leaf literature. All abstracts retrieved were screened for inclusion. All types of articles, including case series and case reports, were included due to the lack of herbal katuk leaf clinical trials. Exclusion criteria consisted of non - English and nonhuman articles. In conclusion, there was a significant effect of katuk leaf consumption towards increasing breastmilk production volume
Sentiment Analysis of Depression Detection on Twitter Social Media Users Using the K-Nearest Neighbor Method
No full textEvery day, millions of people suffer from depression and only a small percentage of them receive proper treatment. Depression is one of the most common mental health disorders. Mental health is very important for humans as well as physical health in general. Not infrequently media users often provide information about themselves and the complaints they experience on burdensome social media. At this time the detection can be detected from the activities of social media users themselves. Because, not infrequently Twitter social media users often provide information about themselves and the complaints they are experiencing on Twitter social media which is burdensome. Therefore, social media Twitter is an option to detect the level of mental health that is being experienced by someone. In this study, the author aims to analyze the application of the K-Nearest Neighbor method in detecting depression in Twitter social media users and see the accuracy value. Based on tests on the KNN classification using the stages of the confusion matrix, the accuracy obtained is 78.18%
Sentiment Analysis of Depression Detection on Twitter Social Media Users Using the K-Nearest Neighbor Method
No full textEvery day, millions of people suffer from depression and only a small percentage of them receive proper treatment. Depression is one of the most common mental health disorders. Mental health is very important for humans as well as physical health in general. Not infrequently media users often provide information about themselves and the complaints they experience on burdensome social media. At this time the detection can be detected from the activities of social media users themselves. Because, not infrequently Twitter social media users often provide information about themselves and the complaints they are experiencing on Twitter social media which is burdensome. Therefore, social media Twitter is an option to detect the level of mental health that is being experienced by someone. In this study, the author aims to analyze the application of the K-Nearest Neighbor method in detecting depression in Twitter social media users and see the accuracy value. Based on tests on the KNN classification using the stages of the confusion matrix, the accuracy obtained is 78.18%
