Abstract
Hospital is an institution that provides health services to all communities. Hospitals in Indonesia have class type divisions, namely class A, class B, class C, and class D. Several criteria determine each classification. These criteria are human resources, such as the availability of doctors and pharmacists and time criteria. However, the values of those criteria are usually obtained by observation directly. The aim of this study is defining hospital values for each criterion through model process hospital directly. Firstly, this experiment forms a log of processes in the hospital instantly by using a workflow system. Then, a log is processes based on the hospital criteria. The final values of those criteria are processed by K-means Cluster and Hierarchical Average Linkage to obtain the hospital class. The final results of the experiment show that the K-means Cluster method is better with the Hierachical Average Linkage method in terms of accuracy, precision, and recall.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 International Seminar on Application for Technology of Information and Communication |
| Subtitle of host publication | Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 191-195 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728138329 |
| DOIs | |
| Publication status | Published - Sept 2019 |
| Event | 2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019 - Semarang, Indonesia Duration: 21 Sept 2019 → 22 Sept 2019 |
Publication series
| Name | Proceedings - 2019 International Seminar on Application for Technology of Information and Communication: Industry 4.0: Retrospect, Prospect, and Challenges, iSemantic 2019 |
|---|
Conference
| Conference | 2019 International Seminar on Application for Technology of Information and Communication, iSemantic 2019 |
|---|---|
| Country/Territory | Indonesia |
| City | Semarang |
| Period | 21/09/19 → 22/09/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Classification
- Hierarchical Average Linkage
- Indonesian hospital
- K-means Cluster
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