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All Journal JINAV: Journal of Information and Visualization Seminar Nasional Hasil Penelitian LP2M UNM
Muhammad Kasim Aidid
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Religion Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Meta analisis kasus DBD dengan model parametrik dan nonparametrik di Kota Makassar Muhammad Kasim Aidid; Muhammad Nadjib Bustan; Ansari Saleh Ahmar
Seminar Nasional LP2M UNM Prosiding Edisi 6
Publisher : Seminar Nasional LP2M UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.157 KB)

Abstract

Dengue Hemorrhagic Fever (DHF) has become a real threat so that many researchers are interested in studying both using parametric or nonparametric models. The next problem is that more and more studies are carried out on a particular topic that increases the likelihood of variations in the results or conclusions of the study. Meta-analysis becomes a solution for various study findings that originally seemed contradictory and difficult to accumulate eventually becoming more integrative and systematic. After reviewing the results of the study, it was concluded that several things were integrated with the findings or results of research in dengue cases in Makassar city using parametric and nonparametric models as follows: (1) Determination of variables not yet showing strong indications based on health theory analysis related to DHF deep and rational. (2) Analysis of data and interpretation of results has indicated that it has been done with the correct statistical technique. (3) Leukocyte levels and hematocrit levels are independent variables that influence the cure rate of DHF patients in Makassar City. While gender is an independent variable which by the whole researcher states no significant effect on the rate of recovery of patients with DHF in Makassar City.
Application of Cluster Analysis of Self Organizing Map (SOM) Method in the Community Literacy Development Index in Indonesia Sanra Ariani; Muhammad Nusrang; Muhammad Kasim Aidid
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci1571

Abstract

Self Organizing Map (SOM) is a method with a form of unsupervised learning, with Artificial Neural Network (ANN) training techniques that use a winner takes all basis, where only the neuron that is the winner will be updated. This study applies the cluster analysis of the SOM method in grouping provinces in Indonesia based on the characteristics of the Community Literacy Development Index (IPLM). The selection of the best cluster is based on internal validation i.e. connectivity, index Dunn and Silhouette. Based on the cluster validation results, 3 clusters were obtained that group provinces based on IPLM characteristics. of the 7 (seven) elements that make up the IPLM, 2 of them, namely energy and community visits, are shown in cluster 1. 5 other elements such as libraries, collections, SNP libraries, community involvement and library members are shown in cluster 3. Meanwhile, cluster 2 does not show significant IPLM-forming elements.
Co-Authors Ahmar, Ansari Saleh Muhammad Nadjib Bustan Muhammad Nusrang Sanra Ariani