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All Journal Prosiding Seminar Biologi Indonesian Journal of Health Sciences Research and Development (IJHSRD)
Sugireng Sugireng
Universitas Mandala Waluya
Agriculture, Biological Sciences & Forestry Health Professions Public Health

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Deteksi gen nuc isolat bakteri Staphylococcus aureus dari pasien ulkus diabetikum dengan metode PCR Sugireng Sugireng; Rosdarni Rosdarni
Prosiding Seminar Biologi Vol 7 No 1 (2021): PROSIDING BIOLOGI ACHIEVING THE SUSTAINABLE DEVELOPMENT GOALS WITH BIODIVERSITY I
Publisher : Jurusan Biologi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/psb.v7i1.23435

Abstract

Bakteri Stapylococcus aureus adalah salah satu bakteri yang dapat menyebabkan infeksi pada berbagai jaringan tubuh pada penderita ulkus diabetikum. Meluasnya infeksi S. aureus, maka alternatif diagnostik dini spesifik S. aureus sangat dibutuhkan. Salah satu teknik diagnostik yang cepat dan akurat yaitu dengan menggunakan PCR (polymerase chain reaction) dengan mendeteksi gen spesifik S. aureus yaitu gen nuc. Penelitian ini bertujuan untuk mendeteksi adanya gen nuc yang merupakan gen pengkode produksi Tnase (Thermonuclease) bakteri S. aureus yang menginfeksi luka pada pasien diabetes. Penelitian ini dilakukan dengan 3 tahapan yaitu pengambilan sampel swab luka pasien ulkus diabetikum, proses isolasi DNA, proses PCR dan elektroforesis serta didokumentasikan dengan UV transluminator. Berdasarkan hasil penelitian dihasilkan dari 2 sampel isolat bakteri pasien ulkus diabetikum yaitu sampel 1 dan sampel 4. Kedua sampel memiliki gen nuc yang ditandai dengan terbentuk pita DNA ukuran 278 bp.
Early Detection Patterns Of Chronic Kidney Disease Based On Differences In Individual Health Status In Kendari City: Chronic Kidney Disease Tasnim Tasnim; Sugireng Sugireng; Imran Imran; Nur Illiyyin Akib
INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD) Vol. 5 No. 2 (2023): INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT
Publisher : STIKes Mandala Waluya Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36566/ijhsrd/Vol5.Iss2/190

Abstract

Background: The prevalence of chronic kidney disease (CKD) was small but it continued to increase every year in Kendari City. The patients were difficult to monitor. The aim of this research is to formulate an early detection pattern for CKD based on differences in individual health status in Kendari City. Methods: This quantitative research used a cross sectional study design which was conducted at 4 Community Health Centers and 3 Hospitals in Kendari City, Southeast Sulawesi, Indonesia. Recruited 136 respondents aged between 24-70 years. Data collection by interviews with questionnaires. The dependent variable is health status, and the independent variables include behavior, psychological environment, stress and genetics. Data analysis used chi square statistical tests, crosstabulation and multinomial logistic regression. Results: There is a significant difference in drinking water consumption behavior of less than 1000 ml a day (p<0.0001, OR=1.56, B=-20.276), calorie intake of less than 1534 calories a day (p<0.05, OR=2.13, B=-19.969 ), physical activity (p<0.05, OR=5.7, B=1.735), medication adherence (P<0.01, OR=0.4,B=1.999) and psychological stress environment (p<0.0001,OR=8.6, B=2.151 ) with the respondent's health status. Meanwhile, herbal consumption behavior (p=0.195) and genetic factors (p=0.813) did not show significant differences with individual health status. Conclusion: Early detection patterns for CKD can use the variable such as less drinking water consumption in healthy people and no obedient medication in single disease group. Using variables of less daily drinking water consumption and heavy physical activity in multiple diseases group, and less drinking water consumption, less physical activity, and moderate stress in CKD group.
Co-Authors Imran Imran Nur Illiyyin Akib Rosdarni Rosdarni Tasnim Tasnim