SITI, NPM 2109100074 (2025) PREDIKSI TINGKAT KEPUASAN PELANGGAN SAMBAL SINYAR NYAR MENGGUNAKAN METODE REGRESI LINIER. Skripsi thesis, Universitas Labuhanbatu.
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Abstract
Penelitian ini bertujuan untuk memprediksi tingkat kepuasan pelanggan pada rumah makan Sambal Sinyar-Nyar dengan menggunakan metode regresi linier. Kepuasan pelanggan merupakan salah satu indikator utama keberhasilan suatu usaha kuliner. Dalam studi ini, tiga variabel independen yaitu harga, kualitas rasa, dan pelayanan dianalisis pengaruhnya terhadap variabel dependen yaitu kepuasan pelanggan. Data diperoleh melalui kuesioner yang disebarkan kepada 75 responden dan dianalisis menggunakan alat bantu RapidMiner. Tahapan penelitian meliputi pengumpulan data, preprocessing, pemodelan, dan evaluasi menggunakan metrik seperti MAE dan RMSE. Hasil penelitian menunjukkan bahwa ketiga variabel independen berpengaruh terhadap kepuasan pelanggan, dan model regresi linier mampu memberikan prediksi yang cukup akurat. Temuan ini diharapkan dapat digunakan oleh manajemen Sambal Sinyar-Nyar dalam pengambilan keputusan strategis untuk meningkatkan kualitas layanan dan produk guna mencapai kepuasan pelanggan yang lebih optimal. Kata Kunci: Kepuasan Pelanggan, Regresi Linier, Data Mining, Sambal Sinyar Nyar, RapidMiner ============================================================== This research aims to predict the level of customer satisfaction at the Sambal Sinyar-Nyar restaurant using the linear regression method. Customer satisfaction is one of the main indicators of the success of a culinary business. In this study, three independent variables, namely price, taste quality, and service, analyzed their influence on the dependent variable, namely customer satisfaction. Data was obtained through a questionnaire distributed to 75 respondents and analyzed using the RapidMiner tool. Research stages include data collection, preprocessing, modeling, and evaluation using metrics such as MAE and RMSE. The research results show that the three independent variables influence customer satisfaction, and the linear regression model is able to provide fairly accurate predictions. It is hoped that these findings can be used by Sambal Sinyar-Nyar management in making strategic decisions to improve the quality of services and products in order to achieve more optimal customer satisfaction. Keywords: Customer Satisfaction, Linear Regression, Data Mining, Sambal Sinyar-Nyar, RapidMiner
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Kepuasan Pelanggan, Regresi Linier, Data Mining, Sambal Sinyar Nyar, RapidMiner==============Customer Satisfaction, Linear Regression, Data Mining, Sambal Sinyar-Nyar, RapidMiner |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Divisions: | Fakultas Sains Dan Teknologi > Sistem Informasi |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 06 Oct 2025 03:23 |
| Last Modified: | 06 Oct 2025 03:23 |
| URI: | http://repository.ulb.ac.id/id/eprint/1762 |
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