Nurussyifaa, Nurussyifaa (2026) Penerapan Algoritma DBSCAN Untuk Pengelompokan Data Kepuasan Pasien pada Rumah Sakit Gigi dan Mulut Universitas Mulawarman. S1 Teknik Informatika thesis, STMIK Widya Cipta Dharma.
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Abstract
Kepuasan pasien merupakan salah satu aspek penting dalam mengevaluasi kualitas pelayanan rumah sakit. Penilaian kepuasan yang hanya disajikan dalam bentuk rata-rata atau persentase belum sepenuhnya menunjukkan adanya kelompok pasien dengan pola penilaian yang berbeda. Penelitian ini bertujuan menerapkan algoritma Density-Based Spatial Clustering of Applications with Noise (DBSCAN) untuk mengelompokkan data kepuasan pasien pada Rumah Sakit Gigi dan Mulut Universitas Mulawarman. Data yang digunakan merupakan data sekunder kuesioner kepuasan pasien periode Juli 2025 sampai April 2026 dengan jumlah akhir sebanyak 612 responden. Sembilan indikator pelayanan dikonversi ke dalam skala numerik, kemudian digunakan untuk membentuk variabel X berupa modus jawaban dan variabel Y berupa rata-rata jawaban setiap responden. Kedua variabel distandardisasi sebelum proses Clustering. Berdasarkan pengujian parameter, DBSCAN final menggunakan epsilon sebesar 0,25 dan MinPts sebesar 4 serta memperoleh nilai Silhouette Score sebesar 0,894071. Hasil Clustering membentuk dua cluster utama dan empat data noise. Cluster 0 terdiri atas 320 responden atau 52,29% dengan rata-rata jawaban sebesar 3,93, sedangkan Cluster 1 terdiri atas 288 responden atau 47,06% dengan rata-rata jawaban sebesar 3,06. Sebanyak empat responden atau 0,65% teridentifikasi sebagai noise. Hasil penelitian menunjukkan bahwa mayoritas responden memberikan penilaian positif terhadap pelayanan, sedangkan perbedaan antarcluster menunjukkan adanya variasi tingkat kepuasan pasien. Indikator waktu tunggu memperoleh nilai relatif terendah pada kedua cluster sehingga dapat menjadi perhatian dalam evaluasi pelayanan. ============================================================ Patient satisfaction is an important aspect of evaluating the quality of hospital services. Satisfaction assessments presented only in the form of averages or percentages may not fully reveal groups of patients with different assessment patterns. This study aims to apply the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to cluster patient satisfaction data at the Dental and Oral Hospital of Mulawarman University. The data used were secondary data obtained from patient satisfaction questionnaires collected from July 2025 to April 2026, with a final total of 612 respondents. Nine service indicators were converted into numerical scales and then used to form two variables: the X variable, representing the mode of each respondent’s answers, and the Y variable, representing the average of each respondent’s answers. Both variables were standardized before the clustering process. Based on parameter testing, the final DBSCAN model used an epsilon value of 0.25 and a MinPts value of 4, achieving a Silhouette Score of 0.894071. The clustering results formed two main clusters and identified four data points as noise. Cluster 0 consisted of 320 respondents, or 52.29%, with an average response score of 3.93, while Cluster 1 consisted of 288 respondents, or 47.06%, with an average response score of 3.06. Four respondents, or 0.65%, were identified as noise. The results indicate that the majority of respondents provided positive evaluations of the services, while the differences between clusters demonstrate variations in patient satisfaction levels. The waiting time indicator obtained the relatively lowest score in both clusters and may therefore require particular attention in service evaluation.
| Item Type: | Thesis (S1 Teknik Informatika) |
|---|---|
| Additional Information: | Pembimbing 1 : Ita Arfyanti, S.Kom., M.M Pembimbing 2 : Hanifah Ekawati, S.Pd., M.Pd |
| Uncontrolled Keywords: | DBSCAN, Clustering, kepuasan pasien, pelayanan rumah sakit, Silhouette Score. |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Teknik Informatika |
| Depositing User: | Ms Nurussyifaa . |
| Date Deposited: | 07 Aug 2026 07:43 |
| Last Modified: | 07 Aug 2026 07:43 |
| URI: | http://repository.wicida.ac.id/id/eprint/6455 |
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