Restuningtyas, Fraschiska Rizky (2019) Pengelompokan Penderita Epilepsi Berdasarkan Variabel Kualitas Hidup pada Komunitas Orang dengan Epilepsi. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Epilepsi merupakan penyakit kelainan otak yang ditandai dengan timbulnya kejang epileptik secara berkesinambungan. Oleh karena itu, kualitas hidup penderita epilepsi menjadi penting karena berhubungan dengan keseluruhan kesehatan penderita, baik kesehatan fisik, sosial, psikologis, maupun ekonomi. Kualitas hidup penderita epilepsi terdiri dari beberapa variabel, yaitu seizure worry, overall quality of life, emotional well-being, energi, kognitif, efek obat, dan fungsi sosial. Penderita epilepsi memiliki beragam kualitas hidup, sehingga perlu dilakukan penelitian untuk mengelompokkan penderita epilepsi berdasarkan variabel kualitas hidup. Data yang digunakan adalah data penderita epilepsi berusia minimal 16 tahun yang tergabung dalam komunitas ODE dengan menggunakan kuisioner kualitas hidup yang merujuk pada kuisioner QOLIE-31. Metode pengelompokkan yang digunakan adalah metode cluster hierarki, yang diawali dengan analisis faktor dengan principal component untuk mengatasi dependensi antar variabel. Hasil pengelompokan menunjukkan bahwa metode average linkage dengan 4 cluster, optimum untuk mengelompokkan semua data responden, sedangkan metode complete linkage dengan 4 cluster, optimum untuk mengelompokkan data dengan menghilangkan outlier. Baik pada metode average linkage dengan 4 cluster maupun complete linkage dengan 4 cluster, menghasilkan karakteristik cluster yang sama, yaitu cluster 1 memiliki skor fungsi sosial kurang baik, namun memiliki skor overall quality of life baik, cluster 2 memiliki skor fungsi sosial dan overall quality of life paling baik, cluster 3 memiliki skor fungsi sosial baik, namun memiliki skor overall quality of life cukup baik, dan cluster 4 memiliki skor fungsi sosial cukup baik, namun memiliki skor overall quality of life kurang baik.
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Epilepsy is a brain disorder which is indicated by the continuous epileptic seizures. Therefore, the quality of life on people with epilepsy is important because it relates to the overall health of the patient, which are physical, social, psychological and economic health. The quality of life on patients with epilepsy consists of several variables, namely seizure worry, overall quality of life, emotional well-being, energy, cognitive, medication effects, and social functions. People with epilepsy have many variety of quality of life, so that this research aim to cluster patients with epilepsy based on quality of life variable. The data used are data on epilepsy patients aged at least 16 years old who are members of the ODE community. The data collected by using a quality of life questionnaire that refers to the QOLIE-31 questionnaire. The grouping method used is the cluster hierarchy method, which begins with a factor analysis with the principal component to overcome the dependencies between variables. The grouping results show that the average linkage method with 4 clusters are optimum for grouping all respondents data, while the complete linkage method with 4 clusters are optimum for grouping data by removing outlier. In general, both of the average linkage method with 4 clusters and complete linkage with 4 clusters produce the same cluster characteristics, where cluster 1 has a poor social function score, but has good overall quality of life score, cluster 2 has very good score of social functions and overall quality of life, cluster 3 has good social function score, but has good enough overall quality of life score, and cluster 4 has a fairly good social function score, but has a poor overall quality of life score.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.53 Res p-1 2019 |
| Uncontrolled Keywords: | Cluster Hierarki, Epilepsi, Kualitas Hidup, ODE |
| Subjects: | Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics) |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Restuningtyas Fraschiska Rizky |
| Date Deposited: | 31 May 2023 11:38 |
| Last Modified: | 31 May 2023 11:38 |
| URI: | http://repository.its.ac.id/id/eprint/64042 |
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