Klasifikasi Status Gizi Ibu Hamil Untuk Mengidentifikasi Bayi Berat Lahir Rendah (Bblr) Menggunakan Metode Support Vector Machine (Svm) (Studi Kasus Di Puskesmas Labuan)

Oganis, C; Musdalifah, S; Lusiyanti, D

doi:10.22487/2540766x.2017.v14.i2.9017

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Seperti ibu hamil di Kelurahan Bunga Tanjung yang merupakan salah satu kelurahan dari Kecamatan Datuk Bandar Timur, Kota Tanjung Balai. Dikarenakan minimnya pengetahuan tentang makanan yang bergizi sehingga para ibu hamil tidak mengetahui makanan yang bergizi atau bahkan makanan yang akan membahayakan janinnya, ini juga dikarenakan keterbatasan ahli gizi [4] atau bidan sehingga kurangnya sosialisali terhadap ibu hamil tentang makanan apa saja yang baik dan buruk untuk janinnya dan apa saja yang harus dilakukan untuk kestabilan gizi kehamilannya.…”

Section: Pendahuluanunclassified

Penerapan Metode Naïve Bayes Dalam Penentuan Gizi Pada Ibu Hamil Di Kelurahan Bunga Tanjung

Rahmadani,

Handoko,

Sriutami

et al. 2023

JUTSI

View full text Add to dashboard Cite

Nutrition is one of the determinants of the quality of human resources. Food given to pregnant women must contain nutrients as needed, so as to support optimal growth and can prevent malnutrition in pregnant women and also help prevent the occurrence of diseases that can interfere with pregnant women. Determination of good nutrition and malnutrition in pregnant women in the sub-district of Datuk Bandar Timur District, Tanjung Balai City must meet the criteria are age, graphida, body weight, lila, hemoglobin and decision. For pregnant women with normal body weight <25 kg, increased energy intake is needed only after pregnancy to increase the metabolic needs of the mother and the energy needs of the growing fetus. The purpose of this study was to determine good nutrition and malnutrition using the Naïve Bayes method which resulted in a decision on good nutrition and malnutrition in pregnant women. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by summing the frequencies and combinations of values from a given dataset. Naïve Bayes produces a Precision value for the positive class of 85%, for the negative class of 86%, the recall value for the positive class is 92%, for the negative class is 75%, the f1-score value for the positive class is 88%, for the negative class is 80%, and 85% for accuracy. Keywords: Machine Learning, Naïve Bayes; Nutritional Status. Abstract: Gizi merupakan salah satu penentu kualitas sumber daya manusia. Makanan yang diberikan pada ibu hamil harus mengandung zat gizi sesuai kebutuhan, sehingga menunjang pertumbuhan yang optimal dan dapat mencegah kurang gizi pada ibu hamil dan juga membantu mencegah timbulnya penyakit-penyakit yang dapat mengganggu ibu hamil. Penentuan gizi baik dan gizi buruk pada ibu hamil di Kelurahan Bunga Tanjung Kecamatan Datuk Bandar Timur, Kota Tanjung Balai harus memenuhi kriteria yaitu umur, grapida, berat badan, lila, hemoglobin dan keputusan. Untuk ibu hamil dengan berat badan normal <25 kg, peningkatan asupan energi diperlukan hanya setelah kehamilan untuk meningkatkan kebutuhan metabolisme yang dibutuhkan ibu dan kebutuhan energi janin yang sedang tumbuh. Tujuan penelitian ini untuk penentuan gizi baik dan gizi buruk dengan menggunakan metode naïve bayes yang menghasilkan sebuah keputusan gizi baik dan gizi buruk pada ibu hamil. Naive Bayes merupakan sebuah pengklasifikasian probabilistik sederhana yang menghitung sekumpulan probabilitas dengan menjumlahkan frekuensi dan kombinasi nilai dari dataset yang diberikan. Naïve Bayes menghasilkan nilai Precision untuk kelas positif 85%, untuk kelas negatif 86%, nilai recall untuk kelas positif 92%, untuk kelas negatif 75%, nilai f1-score untuk kelas positif 88%, untuk kelas negatif sebesar 80%, dan nilai akurasi 85%. Kata Kunci: Machine Learning; Naïve Bayes; Status Gizi.

show abstract

Section: Pendahuluanunclassified

Penerapan Metode Naïve Bayes Dalam Penentuan Gizi Pada Ibu Hamil Di Kelurahan Bunga Tanjung

Rahmadani,

Handoko,

Sriutami

et al. 2023

JUTSI

View full text Add to dashboard Cite

show abstract

“…Kehamilan adalah hal yang paling dinantikan oleh semua pasangan suami istri yang merupakan suatu proses reproduksi yang perlu perawatan khusus, agar dapat berlangsung dengan baik. Biasanya terdapat resiko kehamilan ini bersifat dinamis, karena ibu hamil yang pada mulanya normal, secara tiba-tiba dapat menjadi berisiko tinggi (Oganis, Musdalifah and Lusiyanti, 2017).…”

Section: Pendahuluanunclassified

Gambaran Pengetahuan Ibu Hamil Mengenai Tanda Bahaya Kehamilan Di Upt Puskesmas Ulaweng

Tahir¹

2021

journaliskb

View full text Add to dashboard Cite

Abstract. Pregnancy danger signs are signs or symptoms that indicate a mother or baby is in danger. Every pregnancy in its development runs the risk of experiencing complications or complications. If a pregnant woman does not do an examination, it will not be known whether her pregnancy is going well, is at high risk or obstetric complications that can endanger the life of the mother and the fetus, so that it can increase morbidity and high mortality.Purpose To know the description of knowledge of pregnant women regarding the danger signs of pregnancy at UPT Puskesmas Ulaweng. Methods This type of research used in this study is a descriptive study. Descriptive research method is a research method that is carried out with the main objective of making an objective description or descriptive of a situation. So that the number of samples that meet the criteria is determined as many as 30 people.Results The results showed that 1) The knowledge of pregnant women about vaginal bleeding was in the good category, namely 24 people (80%). 2) Knowledge of pregnant women about premature rupture of membranes is in the good category, namely 20 people (67%). 3) Knowledge of pregnant women about severe abdominal pain in the good category, namely 17 people (57%). 4) Knowledge of pregnant women about excessive vomiting was in the good category, namely 14 people (46%).Conclusion Knowledge of Pregnant Women Regarding Pregnancy Hazard Signs at UPT Puskesmas Ulaweng is in a good category.

show abstract

Analisis Algoritma Klasifikasi Untuk Mengidentifikasi Potensi Risiko Kesehatan Ibu Hamil

Purnama,

Nina Kurnia Hikmawati,

Sri Rahayu

2024

J. Appl. Comput. Sci. Technol.

View full text Add to dashboard Cite

The health of pregnant women has an important aspect in efforts to achieve the birth of a healthy baby. So early detection of the health of pregnant women has important. In this study the author identified potential maternal health risks for pregnant women by classifying them used machine learning which aims to analyze maternal health datasets with several algorithms including Random Forest, Extra Trees, Extreme Gradient Boosting, Decision Tree, and Light Gradient Boosting Machine. From several classification results carried out analysis and evaluation shown that the Random Forest classification algorithm provided optimal performance with an accuracy of 82,15%. These findings confirmed that the model created could identify complex patterns and relationships between features relevant to the classification of potential health risks for pregnant women at high, medium and low levels. These results have important implications in maternal care, because they cann help doctors and medical personnel make more appropriate and effective decisions in dealing with maternal health risks and provide insight into pregnant women from an early age regarding their health conditions.

show abstract

Klasifikasi Status Gizi Ibu Hamil Untuk Mengidentifikasi Bayi Berat Lahir Rendah (Bblr) Menggunakan Metode Support Vector Machine (Svm) (Studi Kasus Di Puskesmas Labuan)

Abstract: KLASIFIKASI STATUS GIZI IBU HAMIL UNTUK MENGIDENTIFIKASI BAYIBERAT LAHIR RENDAH (BBLR) MENGGUNAKAN METODE SUPPORTVECTOR MACHINE (SVM) (STUDI KASUS DI PUSKESMAS LABUAN)

Cited by 3 publications

References 0 publications

Penerapan Metode Naïve Bayes Dalam Penentuan Gizi Pada Ibu Hamil Di Kelurahan Bunga Tanjung

Penerapan Metode Naïve Bayes Dalam Penentuan Gizi Pada Ibu Hamil Di Kelurahan Bunga Tanjung

Gambaran Pengetahuan Ibu Hamil Mengenai Tanda Bahaya Kehamilan Di Upt Puskesmas Ulaweng

Analisis Algoritma Klasifikasi Untuk Mengidentifikasi Potensi Risiko Kesehatan Ibu Hamil

Contact Info

Product

Resources

About