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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Global Health research
Khairul Fuady
Sekolah Tinggi Ilmu Kesehatan Muhammadiyah Aceh
Humanities Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Nursing Public Health

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EDUKASI PENGOLAHAN SAMPAH ORGANIK SEBAGAI UPAYA MITIGASI PERUBAHAN IKLIM Hayati Hayati; Ani Darliani; Khairul Fuady
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 No 3 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i3.48513

Abstract

Permasalahan sampah dapat berdampak luas pada kesehatan manusia, kelestarian lingkungan, ekonomi dan kualitas hidup. Sampah yang tidak dikelola dengan baik dan benar akan merusak lingkungan sekitarnya. Sampah menjadi tempat pembiakan kuman yang dapat menyebabkan penularan penyakit mulai dari diare sampai pada gangguan pernapasan. Selain itu, sampah berupa limbah organik yang tidak dikelola secara baik akan menghasilkan metana dan karbondioksida yang berkontribusi secara signifikan terhadap perubahan iklim.Edukasi pengolahan sampah bertujuan meningkatkan pengetahuan bagi anak-anak Panti Asuhan Penyantun Muhammadiyah Aceh tentang pengelolaan sampah yang baik sebagai upaya mitigasi perubahan iklim. Metode yang digunakan dalam kegiatan pengabdian kepada masyarakat ini adalah presentasi materi, diskusi dan tanya jawab, ditutup dengan praktik pengolahan sampah organik.Hasil dari pelaksanaan pengabdian kepada masyarakat yang dilaksanakan di LKSA Panti Asuhan Penyantun Muhammadiyah Aceh Punge Blangcut kecamatan Jaya Baru Kota Banda Aceh dapat diuraikan sebagai berikut: meningkatnya pengetahuan anak-anak Panti terhadap pengelolaan sampah, anak-anak memiliki rasa peduli dan bertanggung jawab terhadap kebersihan lingkungannya, memiliki kesadaran mitigasi perubahan iklim dengan pengelolaan sampah yang baik untuk menjaga bumi.
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 Ani Darliani Eva Zulisa Hayati Hayati Mainy Handiana, Cut Roza Aryani