Azmi, Annisa Nurul
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Implementasi machine learning dalam pengelompokkan provinsi di indonesia berdasarkan data pencemaran lingkungan hidup Azmi, Annisa Nurul; Siregar, Arsyka Laila Oktalia; Lesmana, Faqih Indra; Nasir, Andi Ardiansyah; Kartiasih, Fitri
e-Jurnal Ekonomi Sumberdaya dan Lingkungan Vol. 14 No. 2 (2025): e-Jurnal Ekonomi Sumberdaya dan Lingkungan
Publisher : Konsentrasi Ekonomi Sumberdaya Alam dan Manusia, Prodi Ekonomi Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jesl.v14i2.37366

Abstract

Environmental pollution is a crucial issue that needs serious attention. The increasing world population will also increase the level of environmental pollution (Mittal & Mittal, 2013) especially in developing countries (Remilekun Adeuti, 2020) This is also the case in Indonesia. Therefore, this research aims to find out which provinces in Indonesia have a high level of pollution by clustering provinces based on environmental pollution data. The methods used in this research are K-Medoids, K-Means, and Fuzzy C- Means as well as Complete Linkage and Ward's Linkage for Agglomerative Hierarchy. The results show that the K-Medoids method is the best method produces 3 clusters, namely clusters with high average pollution of 11 provinces, clusters with average pollution of 12 provinces, and clusters with low average pollution of 11 provinces.
A COMPARISON OF NEUTROPHIL LYMPHOCYTE RATIO (NLR) BEFORE AND AFTER ANTI TUBERCULOSIS TREATMENT BASED ON AGE AND SEX CHARACTERISTICS Azmi, Annisa Nurul; Hediningsih, Yekti; Marfu’ati, Nanik
Mandala Of Health Vol 16 No 2 (2023): Mandala of Health
Publisher : Fakultas Kedokteran Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.mandala.2023.16.2.8181

Abstract

Indonesia is ranked third in the world with the most Tuberculosis (TB) cases. TB is an infection caused by bacteria thus can cause an inflammatory response then affects Neutrophil Lymphocyte Ratio (NLR). Anti-tuberculosis treatment with bactericidal and sterilization principles is expected to kill TB germs and reduce NLR values. The aim of this study was to analyze the NLR values in tuberculosis patients before and after anti-tuberculosis treatment based on age and sex characteristics. This is an analytic observational study using retrospective cohort approach in patients diagnosed with TB at the Muhammadiyah Kendal Hospital during January - August 2022. 70 samples were obtained through a purposive sampling method. This research used secondary data laboratory results consist of identity and NLR values before and after anti-tuberculosis treatment then analyzed with SPSS. Research data distribution wasn't normal. Results showed there was a significant comparison which was lower NLR values after treatment (p <0.001) and a significant conversion of NLR values from abnormal to normal (p <0.001). There was no significant difference based on sex before (p = 0.758) and after (p = 0.115) treatment. No significant difference was found by age category before (p = 0.174) and after (p = 0.284) treatment. Comparison of NLR values before and after anti-tuberculosis treatment found that there was a decrease in NLR values and most of the conversions were from abnormal to normal, but there were no differences based on age or sex characteristics.