IMPLEMENTASI METODE ARTIFICIAL NEURAL NETWORK DAN DECISION TREE DALAM MENENTUKAN TINGKAT KEPUASAN MASYARAKAT TERHADAP KUALITAS LAYANAN PADA GEDUNG OLAHRAGA RANTAUPRAPAT

KIKI APRIDA SARI, NPM 2109100043 (2025) IMPLEMENTASI METODE ARTIFICIAL NEURAL NETWORK DAN DECISION TREE DALAM MENENTUKAN TINGKAT KEPUASAN MASYARAKAT TERHADAP KUALITAS LAYANAN PADA GEDUNG OLAHRAGA RANTAUPRAPAT. Skripsi thesis, Universitas Labuhanbatu.

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Abstract

Kepuasan masyarakat terhadap layanan di Gedung Olahraga Rantauprapat menjadi aspek penting yang perlu dievaluasi karena berkaitan langsung dengan kualitas fasilitas, kebersihan, akses, dan biaya yang dirasakan oleh pengguna. Penelitian ini dilakukan untuk mengetahui tingkat kepuasan masyarakat serta memberikan rekomendasi perbaikan layanan berbasis data. Landasan teori penelitian mengacu pada konsep machine learning, khususnya Artificial Neural Network (ANN) yang mampu menangani pola non-linear dan Decision Tree yang dapat menghasilkan aturan keputusan yang mudah dipahami. Kedua metode ini dipilih karena relevan dalam menganalisis faktor-faktor kepuasan masyarakat terhadap fasilitas olahraga. Pada tahap analisis dan perancangan, data dikumpulkan melalui kuesioner, kemudian dilakukan preprocessing dan dimasukkan ke dalam aplikasi Orange untuk membangun model klasifikasi menggunakan ANN dan Decision Tree. Proses evaluasi dilakukan menggunakan Test and Score serta Confusion Matrix untuk mengukur akurasi, precision, recall, dan F1-score. Berdasarkan hasil klasifikasi, dari 100 data responden diperoleh 63 data Tidak Puas dan 37 data Puas, dengan ANN menghasilkan akurasi 95% dan Decision Tree 91%. Evaluasi menunjukkan ANN lebih unggul dalam mengenali pola data yang kompleks, sementara Decision Tree tetap bermanfaat karena aturan keputusannya mudah diinterpretasikan. Kesimpulannya, ANN terbukti lebih efektif dalam memprediksi kepuasan masyarakat, sedangkan Decision Tree tetap relevan jika fokus utama adalah transparansi dalam pengambilan keputusan. Penelitian ini memberikan dasar bagi pengelola GOR Rantauprapat untuk meningkatkan fasilitas dan layanan demi mencapai tingkat kepuasan masyarakat yang lebih baik. Kata Kunci: Kepuasan Masyarakat, Gedung Olahraga Rantauprapat, Artificial Neural Network (ANN), Decision Tree, Evaluasi Kualitas Layanan ====================================================== Public satisfaction with services at the Rantauprapat Sports Hall is an important aspect that needs to be evaluated because it is directly related to the quality of facilities, cleanliness, access, and costs perceived by users. This study was conducted to determine the level of public satisfaction and provide recommendations for data-based service improvements. The theoretical basis of the research refers to the concept of machine learning, specifically Artificial Neural Networks (ANNs) that are capable of handling non-linear patterns and Decision Trees that can produce easy-to-understand decision rules. These two methods were chosen because they are relevant in analyzing factors of public satisfaction with sports facilities. In the analysis and design stage, data was collected through questionnaires, then preprocessed and entered into the Orange application to build a classification model using ANN and Decision Tree. The evaluation process was carried out using Test and Score and Confusion Matrix to measure accuracy, precision, recall, and F1-score. Based on the classification results, from 100 respondents, 63 data were obtained Dissatisfied and 37 data Satisfied, with ANN producing 95% accuracy and Decision Tree 91%. The evaluation showed that ANN is superior in recognizing complex data patterns, while Decision Tree remains useful because its decision rules are easy to interpret. In conclusion, ANN proved more effective in predicting public satisfaction, while Decision Tree remained relevant if transparency in decision-making was the primary focus. This research provides a basis for the Rantauprapat Sports Hall management to improve facilities and services to achieve higher levels of public satisfaction. Keywords: Public Satisfaction, Rantauprapat Sports Hall, Artificial Neural Network (ANN), Decision Tree, Service Quality Evaluation

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Kepuasan Masyarakat, Gedung Olahraga Rantauprapat, Artificial Neural Network (ANN), Decision Tree, Evaluasi Kualitas Layanan============Public Satisfaction, Rantauprapat Sports Hall, Artificial Neural Network (ANN), Decision Tree, Service Quality Evaluation
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science 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:	09 Dec 2025 02:39
Last Modified:	09 Dec 2025 02:39
URI:	http://repository.ulb.ac.id/id/eprint/2016

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