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Khairul Fuady
Sekolah Tinggi Ilmu Kesehatan Muhammadiyah Aceh
Education Health Professions Languange, Linguistic, Communication & Media Nursing Public Health

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The Effectiveness of Telemidwife-Based ‘Permisi Gandu’ Alarm for Monitoring Adherence to Iron Supplements Consumption and Increased Haemoglobin Levels in Anemia Adolescent Eva Zulisa; Khairul Fuady; Cut Mainy Handiana
Indonesian Journal of Global Health Research Vol 6 No 3 (2024): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v6i3.3209

Abstract

Anemia is still a health problem for adolescent and is related to nutrition due to iron deficiency during menstruation. This is because adolescent don't like the smell of iron supplements, forget to take them, are worried about experiencing side effects, and even feel they don't need to take iron supplements. The aim of this research is to determine the effectiveness of telemidwife-based 'PERMISI GANDU' (Pengatur Minum Suplemen Zat Besi Gabung Nipis dan Madu) alarm for monitoring adherence to iron consumption and increased hemoglobin levels in anemia adolescent. The type of research is Quasi-experiment with One group pre-posttest design. The sample was taken using a Purposive sampling technique with a sample size of 36 people in Kecamatan Terangun Kabupaten Gayo Lues. Respondents were given iron supplements and lime infused water mixed with honey once every week for a duration of 4 months. Data collection on consumption compliance uses an observation form combined with video calls by midwives. For the intervention consumption schedule, the Google Calendar setting on the respondent smartphone was used as a reminder alarm. Measurement of hemoglobin levels before and after intervention using a digital hemoglobinometer. Data analysis using the Wilcoxon test. The statistical test results obtained p-value < 0.05, indicating that the telemidwife-based 'PERMISI GANDU' alarm was effective in increasing compliance with iron consumption and hemoglobin levels in anemia adolescent.
Implementation of A Fuzzy Logic for Early Detecting of A Pregnant Women Risk of Hypertension Khairul Fuady; Cut Mainy Handiana; Eva Zulisa
Indonesian Journal of Global Health Research Vol 7 No 1 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i1.3969

Abstract

Hypertension is one of the diseases that can cause fatal effects to health, especially for pregnant women. Hypertension during pregnancy can cause serious effects such as pre-eclampsia and eclampsia which can threaten the lives of pregnant women and fetuses. The purpose of this study is to determine the input and output variables related to hypertension during pregnancy and used for analysis using Tsukamoto FIS to determine risk factors for hypertension in pregnant women. This study uses input variables in the form of maternal age, systolic blood pressure (SBP), diastolic blood pressure (DBP), history of hypertension and genetic. Furthermore, it is analyzed using fuzzy logic through the process of fuzzyfication, inference engine and defuzzyfication. The examination of data samples of pregnant women with systolic and diastolic blood pressure categories included in the high category or potentially have hypertension. The Z value (defuzzyfication) shows that the output is in the category of severe hypertension so that the patient needs immediate treatment by medical personnel. The results showed that the risk of a mother having hypertension can be obtained through Tsukamoto FIS in the form of concrete values that can describe risk factors in the form of normal, hypertension and severe hypertension as well as recommended actions related to these risk factors.
The Prediction System of A Pregnant Women at Risk of Anemia Using A Fuzzy Logic Khairul Fuady; Roza Aryani; Hayati Hayati
Indonesian Journal of Global Health Research Vol 7 No 3 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i3.5938

Abstract

Prenatal development determines whether a child is normal or abnormal. The health of the mother and her nutritional intake during pre- and pregnancy will influence the birth of a healthy baby. The nutritional problems during pregnancy during antenatal check-ups are vital because nutrition is one of the factors that affect the incidence of chronic energy deficiency (CHD) in pregnant women. This research aims to prepare a prediction system for pregnant women at risk of anemia by applying fuzzy logic. This research will use steps that include problem identification, preparation of input variables , application of fuzzy logic and system testing. This research is expected to produce output variables in the form of predictions of pregnant women at risk of anemia or not at risk. The results of this study can provide valid initial information about the anemia-related conditions of a pregnant woman to avoid unwanted things during childbirth and postpartum. The rule base contains input variables (hemoglobin, blood pressure, conjunctiva examination) and output variables in the form of anemia prediction and its level in a pregnant women.
Co-Authors Eva Zulisa Hayati Hayati Mainy Handiana, Cut Roza Aryani