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All Journal Indonesian Journal of Medicine Indonesian Journal of Global Health research Archive: Jurnal Pengabdian Kepada Masyarakat
Winarno, Tunjung
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Education Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health

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Inovasi Pendidikan Lingkungan dengan Tanaman Toga di SDN 1 Sidorejo, Kabupaten Sukoharjo Rahmatulloh, Wahyu; Tiara, Hayyu Listina Martha; Fitriyati, Laeli; Ristiyorini, Iin; Winarno, Tunjung
Archive: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2025): Juni 2025
Publisher : Asosiasi Pengelola Publikasi Ilmiah Perguruan Tinggi PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/arch.v4i2.171

Abstract

Latar Belakang: Tanaman obat keluarga (Toga) memiliki banyak manfaat, namun pemanfaatannya di lingkungan sekolah dasar masih terbatas. SDN 1 Sidorejo memiliki lahan yang potensial, tetapi belum dimanfaatkan untuk penanaman Toga. Tujuan: Kegiatan ini bertujuan untuk meningkatkan pemahaman siswa mengenai manfaat dan cara penanaman tanaman Toga. Metode: Metode yang digunakan adalah ceramah, diskusi dan praktik langsung. Sosialisasi dilakukan kepada 24 siswa kelas V dan VI SDN 1 Sidorejo. Hasil: Hasil pretest menunjukkan rata-rata skor 58,50 yang meningkat menjadi 96,50 pada posttest setelah materi diberikan. Kesimpulan: Kegiatan sosialisasi berhasil meningkatkan pengetahuan siswa mengenai tanaman Toga, terbukti dengan peningkatan skor pretest dan posttest yang signifikan. Sosialisasi ini efektif dalam memberikan pengetahuan yang aplikatif dan bermanfaat bagi siswa.
Risk Factors Associated with Elderly Diabetes Patients Khuluq, Husnul; Fitri, Dwiki; Miyarso, Condrosuro; Winarno, tunjung
Indonesian Journal of Medicine Vol. 10 No. 3 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/theijmed.2025.10.3.775

Abstract

Background: Diabetes mellitus is a chronic disease with increasing global prevalence, including in Indonesia. Among the elderly, its management is more complex due to age-related physiological changes and comorbidities. This study aimed to identify and analyze risk factors associated with diabetes in the elderly population. Subjects and Method: This retrospective cross-sectional study analyzed medical records of 1,634 inpatients with type 2 diabetes mellitus at PKU Muhammadiyah Hospital Yogyakarta from January 2021 to July 2023. Total sampling was used. Data on demographics, comorbidities, and laboratory values were analyzed using Chi-square test. Results: Of 1,634 patients, 853 (52.52%) were aged >65 years. Significant risk factors associated with elderly diabetes included elevated erythrocytes (OR= 1.60; 95% CI= 1.32–1.96; p <0.001), urea (OR= 1.51; 95% CI= 1.23–1.86; p <0.001), lymphocytes (OR= 1.26; 95% CI = 1.04–1.53; p= 0.020), hemoglobin (OR= 1.38; 95% CI = 1.14–1.68; p <0.001), systolic blood pressure (OR= 1.33; 95% CI= 1.07–1.65; p= 0.009), stroke (OR= 1.59; 95% CI = 1.09–2.32; p= 0.016), creatinine (OR= 1.24; 95% CI= 1.02–1.51; p= 0.028), and hypertension (OR= 1.29; 95% CI = 1.03–1.63; p= 0.028). Conversely, cholesterol (OR= 0.89; 95% CI= 0.65–1.23; p<0.001), and glucose (OR= 0.65; 95% CI= 0.51–0.83; p <0.001) were inversely associated. Conclusion: Elderly diabetes is significantly associated with multiple clinical and laboratory indicators. These findings highlight the importance of comprehensive monitoring to improve elderly diabetes management.
Utilizing Artificial Intelligence to Analyze Gender Differences in Hypertension Risk Factors Khuluq, Husnul; Widiastuti, Tri Cahyani; Hamdi, Lazuardi Fatahillah; Winarno, Tunjung
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.v7i1.4929

Abstract

Hypertension continues to pose a significant challenge to global health. Early identification of risk factors, particularly those influenced by gender differences, has the potential to markedly enhance treatment processes and outcomes. Artificial intelligence (AI), specifically machine learning (ML), offers a promising avenue for identifying and analysing these critical risk factors. Objective: This study aims to explore the influence of gender differences on risk factors affecting hypertensive patients by examining demographic, medication, clinical, and laboratory data.Method: The study utilized medical records of hospitalized hypertensive patients at PKU Muhammadiyah Hospital Yogyakarta, covering the years 2022 to 2023. Logistic regression analysis with Lasso penalty was applied to determine the most influential variables. Additionally, the Random Forest algorithm implemented in WEKA, combined with a 10-fold cross-validation approach, was employed to evaluate the model’s diagnostic performance using metrics such as precision, sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve (ROC-AUC). Results: A total of 1,006 patients were included in the sample, comprising 504 males and 502 females. Among the 33 clinical variables analysed, 13 demonstrated non-zero coefficients. For female hypertensive patients, the five most significant risk factors, along with their coefficients, were Haemoglobin (0.03), Diabetes Mellitus (0.04), Lymphocytes (0.06), Anaemia (0.13), and Creatinine (0.15). In male hypertensive patients, the top five risk factors and their coefficients were Acute Kidney Injury (-0.32), Erythrocytes (-0.15), Congestive Heart Failure (-0.03), Leukocytes (-0.02), and Length of Stay (LOS) (-0.01). The model’s overall performance, as reflected by a ROC-AUC score of 0.805, indicates a good level of predictive accuracy. Conclusions: The findings reveal a significant association between gender and hypertension risk factors. These results underscore the potential for gender-specific customization of hypertension treatments, paving the way for more individualized therapeutic strategies and improved patient outcomes.
Co-Authors Fitri, Dwiki Fitriyati, Laeli Hamdi, Lazuardi Fatahillah Khuluq, Husnul Miyarso, Condrosuro Ristiyorini, Iin Tiara, Hayyu Listina Martha Wahyu Rahmatulloh Widiastuti, Tri Cahyani