| Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
|
|---|---|---|
| Article Number | 13003 | |
| Number of page(s) | 10 | |
| Section | Industrial and Health Information System | |
| DOI | https://doi.org/10.1051/e3sconf/202020213003 | |
| Published online | 10 November 2020 | |
Information System for Evaluating Specific Interventions of Stunting Case Using K-means Clustering
1 Magister Program of Information System, School of Postgraduate Studies, Diponegoro University, Semarang - Indonesia
2 Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang - Indonesia
3 Department of Informatics, Faculty of Science and Mathematics, Diponegoro University, Semarang - Indonesia
* Corresponding author: widyakoto78@gmail.com
One of the causes of death of children under five is chronic malnutrition or stunting. The government has made a policy as an effort to reduce stunting. Specific intervention nutrition programs are activities that directly address the occurrence of stunting. Evaluation of edit interventions that have currently been carried out but have not separated the process based on intervention indicators so that it results in a long processing time and large exit costs so we need a system that can accelerate the process of evaluating specific interventions. Information systems for evaluating specific interventions can be a solution to this problem. In this study, an information system for evaluating specific interventions of stunting cases was developed web-based to facilitate real-time operation. The evaluation information system is designed to collect national data and carry out a clustering process using the k-means method and evaluation stucture cluster using silhouette method. In this study an evaluation value of 34 provinces was obtained which was divided into several clusters as a result of evaluation process in the information system.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.