PUSPITAWATI ZEGA, NPM 2209100102 (2026) PENGUJIAN TINGKAT KEPUASAN PENGGUNA TERHADAP APLIKASI E - PUSKESMAS DENGAN MENGGUNAKAN METODE ALGORITMA NAÏVE BAYES. Skripsi thesis, Universitas Labuhanbatu.
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Abstract
Penelitian ini bertujuan untuk menganalisis dan mengklasifikasikan tingkat kepuasan pengguna terhadap aplikasi E-Puskesmas menggunakan algoritma Naïve Bayes. Metode yang digunakan adalah pendekatan kuantitatif dengan teknik data mining melalui penyebaran kuesioner kepada tenaga medis dan staf administrasi. Data diolah menggunakan Microsoft Excel dan dianalisis menggunakan Orange Data Mining dengan evaluasi model melalui confusion matrix dan metrik kinerja seperti accuracy. Hasil penelitian menunjukkan bahwa model Naïve Bayes mampu mengklasifikasikan tingkat kepuasan pengguna dengan tingkat akurasi sebesar 50%, di mana sebagian besar responden berada pada kategori puas. Namun, beberapa aspek seperti kecepatan sistem dan kemudahan penggunaan masih perlu ditingkatkan. Dengan demikian, metode Naïve Bayes dinilai efektif untuk analisis kepuasan pengguna pada sistem informasi kesehatan. Kata kunci: Kepuasan Pengguna, E-Puskesmas, Data Mining, Naïve Bayes, Klasifikasi ===================================================================================== This study aims to analyze and classify the level of user satisfaction with the E- Puskesmas application using the Naïve Bayes algorithm. The research employs a quantitative approach with data mining techniques through questionnaires distributed to medical personnel and administrative staff. Data were processed using Microsoft Excel and analyzed using Orange Data Mining with model evaluation through a confusion matrix and performance metrics such as accuracy. The results indicate that the Naïve Bayes model is capable of classifying user satisfaction with an accuracy of 50%, where most respondents fall into the satisfied category. However, several aspects, particularly system speed and ease of use, still require improvement. Therefore, the Naïve Bayes method is considered effective for analyzing user satisfaction in health information systems. Keywords: User Satisfaction, E-Puskesmas, Data Mining, Naïve Bayes, Classification
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Kepuasan Pengguna, E-Puskesmas, Data Mining, Naïve Bayes, Klasifikasi===============User Satisfaction, E-Puskesmas, Data Mining, Naïve Bayes, Classification |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources 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: | 26 May 2026 03:32 |
| Last Modified: | 26 May 2026 03:32 |
| URI: | http://repository.ulb.ac.id/id/eprint/2419 |
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