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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Indonesian Journal of Nursing Scientific
Nina Sari
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Computer Science & IT Nursing

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Implementation of the Bayes Method for diagnosing tuberculosis Nina Sari; Volvo Sihombing; Deci Irmayani
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 2 (2021): Article Research Volume 5 Number 2, April 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i2.10903

Abstract

Tuberculosis is an infection caused by acid-resistant bacilli or an infectious disease that can attack anyone through the air is also a dangerous infectious disease besides it is also a chronic or chronic disease that can strike between the ages of 15-35 years. The purpose of this study is to help prevent tuberculosis by implementing an expert system using the Bayes method. The method used in this research includes identifying problems faced in the medical world for treating tuberculosis, analyzing the problem, then formulating the problem and applying an expert system with the Bayes method to solve the problems that are obtained, the next stage is designing an application as needed, testing the application with the aim of knowing the success rate of the system. The implementation of the Bayes method in diagnosing tuberculosis is found. The result is that the calculation process using the Bayes method is based on the symptoms experienced by the patient. It can be seen that the patient is "most likely" to have pulmonary tuberculosis with a confidence value of 0.64 or 64%. From the results of the research conducted, it can be concluded that in diagnosing Tuberculosis by using the Bayes method expert system, it can help medical parties handle cases more quickly in terms of recognizing the symptoms of Tuberculosis so that people quickly know the disease they are experiencing.
HUBUNGAN USIA, PENGETAHUAN DAN DUKUNGAN SUAMI DENGAN TINGKAT KECEMASAN PADA IBU HAMIL DI TPMB SUNTER AGUNG fransiska, sindi; Fitrya Ayu Anggraini; Nina Sari
Indonesian Journal of Nursing Scientific Vol 4 No 1 (2024): Indonesian Journal of Nursing Scientific
Publisher : Politeknik Karya Husada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58467/ijons.v4i1.143

Abstract

Pregnancy is a natural process that causes physical and psychological changes in a mother due to hormonal changes in the body. Hormonal changes that occur during pregnancy often cause emotional changes and even anxiety. Data from the World Health Organization shows that in developing countries 10% of pregnant women experience mental disorders such as depression or anxiety, while in developing countries pregnant women have a high risk of experiencing psychological disorders at 15.6%. The aim of this study is to determine the relationship between age, level of knowledge and husband's support with the level of anxiety in facing childbirth in third trimester pregnant women at the Independent Midwife Practice Place in the Sunter Agung sub-district area. This study is a descriptive analytical study with a cross-sectional approach, with an incidental sampling technique, totaling 40 respondents from pregnant women in the third trimester. The data used in this study is primary data which was analyzed using the chi square test. There is a relationship between age (P-Value = 0.011, OR = 8.250, CI 95%), knowledge (P-Value = 0.000, OR = 22.500, CI 95%) and husband's support (P-Value = 0.000, OR = 17.067 CI 95%) with the level of anxiety in facing childbirth in third trimester pregnant women at the Independent Midwife Practice in the Sunter Agung sub-district area in 2024. It can be concluded that age, knowledge and husband's support are factors that are related to the level of anxiety in facing childbirth in third trimester pregnant women . With this, it is hoped that there will be education for pregnant women by involving the husband as the closest person, so that the husband can play a role during pregnancy, which can reduce anxiety in pregnant women. Keywords: Age, Knowledge, Husband Support, Anxiety
Co-Authors Deci Irmayani Fitrya Ayu Anggraini fransiska, sindi Volvo Sihombing