PUJAWATI KURNIA PUTRI, NPM 2209100101 (2026) ANALISIS KEPUASAN PASIEN TERHADAP PELAYANAN RADIOLOGI DI RUMAH SAKIT AL AZIZ MENGGUNAKAN ALGORITMA C4.5. Skripsi thesis, Universitas Labuhanbatu.
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Abstract
Penelitian ini bertujuan untuk menganalisis tingkat kepuasan pasien terhadap pelayanan radiologi di Rumah Sakit Al AZIZ menggunakan algoritma C4.5. Permasalahan yang melatarbelakangi penelitian ini adalah masih adanya keluhan pasien terkait waktu tunggu, kenyamanan fasilitas, serta kualitas pelayanan yang memengaruhi tingkat kepuasan. Penelitian ini menggunakan metode kuantitatif dengan teknik pengumpulan data melalui kuesioner yang disebarkan kepada pasien radiologi dengan skala Likert.Data yang diperoleh kemudian diolah menggunakan metode data mining melalui tahapan Knowledge Discovery in Database (KDD), yaitu seleksi data, preprocessing, transformasi, data mining, dan evaluasi. Algoritma C4.5 digunakan untuk membangun model klasifikasi dalam bentuk pohon keputusan guna mengidentifikasi faktor-faktor yang paling berpengaruh terhadap kepuasan pasien.Hasil penelitian menunjukkan bahwa algoritma C4.5 mampu mengklasifikasikan tingkat kepuasan pasien dengan baik ke dalam beberapa kategori, yaitu sangat tidak puas, tidak puas, cukup puas, puas, dan sangat puas. Faktor-faktor yang paling berpengaruh terhadap kepuasan pasien antara lain ketepatan waktu, keramahan petugas, fasilitas ruangan, kejelasan informasi, kecepatan pemeriksaan, dan ketelitian hasil pemeriksaan. Dengan adanya hasil analisis ini, diharapkan pihak rumah sakit dapat meningkatkan kualitas pelayanan radiologi secara lebih efektif dan terarah guna meningkatkan kepuasan pasien. Kata Kunci: Kepuasan Pasien, Data Mining, Algoritma C4.5, Pelayanan Radiologi, Decision Tree ================================================================================================= This study aims to analyze the level of patient satisfaction with radiology services at Al AZIZ Hospital using the C4.5 algorithm. The background of this research is the presence of patient complaints related to waiting time, facility comfort, and service quality that affect satisfaction levels. This study uses a quantitative method with data collection techniques through questionnaires distributed to radiology patients using a Likert scale.The collected data were processed using data mining methods through the Knowledge Discovery in Database (KDD) stages, including data selection, preprocessing, transformation, data mining, and evaluation. The C4.5 algorithm was applied to build a classification model in the form of a decision tree to identify the most influential factors affecting patient satisfaction.The results show that the C4.5 algorithm is capable of classifying patient satisfaction levels into several categories, namely very dissatisfied, dissatisfied, fairly satisfied, satisfied, and very satisfied. The most influential factors include timeliness, staff friendliness, facility conditions, clarity of information, examination speed, and accuracy of examination results. Based on these findings, it is expected that the hospital can improve the quality of radiology services more effectively and strategically to enhance patient satisfaction. Keywords: Patient Satisfaction, Data Mining, C4.5 Algorithm, Radiology Services, Decision Tree
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Kepuasan Pasien, Data Mining, Algoritma C4.5, Pelayanan Radiologi, Decision Tree===============Patient Satisfaction, Data Mining, C4.5 Algorithm, Radiology Services, Decision Tree |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases |
| Divisions: | Fakultas Sains Dan Teknologi > Sistem Informasi |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 28 Apr 2026 01:59 |
| Last Modified: | 28 Apr 2026 01:59 |
| URI: | http://repository.ulb.ac.id/id/eprint/2178 |
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