M. Givi Efgivia
Sekolah Tinggi Manajemen Informatika dan Komputer Muhammadiyah Jakarta

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IMAGE DATA CLASSIFICATION BY NFES-MODEL Efgivia, M. Givi; A. Prasad, Safaruddin
Jurnal Informatika Vol 9, No 2 (2008): NOVEMBER 2008
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.468 KB) | DOI: 10.9744/informatika.9.2.130-136

Abstract

In this paper, we propose an identification method of the land cover from remote sensing data with combining neuro-fuzzy and expert system. This combining then is called by Neuro-Fuzzy Expert System Model (NFES-Model). A Neural network (NN) is a part from neuro-fuzzy has the ability to recognize complex patterns, and classifies them into many desired classes. However, the neural network might produce misclassification. By adding fuzzy expert system into NN using geographic knowledge based, then misclassification can be decreased, with the result that improvement of classification result, compared with a neural network approximation.
Relationship between Scientific Attitude and Student Learning Outcomes In the Microbiology Course Efgivia, M. Givi; Sumarmi, Sumarmi; Suciana, Ewin
JOURNAL EDUCATIONAL OF NURSING(JEN) Vol 4, No 1 (2021): Journal Educational of Nursing (JEN)
Publisher : Akademi Keperawatan RSPAD Gatot Soebroto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37430/jen.v4i1.80

Abstract

One of the educational problems faced by Indonesia is the low critical thinking skills of students. The purpose of this study was to determine the relationship between scientific attitudes and student learning outcomes (critical thinking) in the Microbiology course. The method used in this research is correlation. The sample in this study were 28 students. Analysis of the data used in this study using the Kolmogorov-Smirnov data normality test and the Pearson product moment correlation test. The results of this study indicate a relationship between scientific attitudes and learning outcomes which can be seen from the sig value. equal to 0, 343. Meanwhile, the relationship between scientific attitudes and learning outcomes is 46.3%.
Analysis of The Relationship of Information Media and Knowledge With Formula Feeding In Babies Aged 6-24 Months Efgivia, M. Givi; Sumarmi, Hj.; Khaerudin, M.
JOURNAL EDUCATIONAL OF NURSING(JEN) Vol 4, No 2 (2021): Journal Educational of Nursing (JEN)
Publisher : Akademi Keperawatan RSPAD Gatot Soebroto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37430/jen.v4i2.98

Abstract

Mothers certainly know that the main intake for babies is breast milk. However, in some cases, babies are forced to be fed infant formula to replace breast milk if according to medical indications and on the advice of medical personnel. Always consult a medical professional for the use of infant formula. Although the content is different from breast milk, now infant formula has been formulated with various kinds of nutrients that are good for baby's growth and development. For this reason, so that babies get adequate nutrition for their growth and development, the dose of baby's milk must be adjusted to their age and weight. The purpose of this study was to determine the factors associated with formula feeding in infants aged 0-6 months. The research method used in this study is a cross sectional survey method. The population in this study were all mothers who had babies 0-6 months totaling 34 people. Samples were taken by total sampling, that is, the entire population was sampled. The results of this study prove that there is a relationship between information media, education, work and knowledge with the provision of formula milk to infants aged 0-6 months at the Rengas Health Center in 2019.