Browsing Master Theses by Keyword "Accuracy"
Now showing items 1-9 of 9
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Analisa Kinerja Metode Naive Bayes Dengan Pembobotan Data
(Universitas Sumatera Utara, 2021)Classification using naive bayes algorithm for air quality dataset has an accuracy rate of 39.97%. This result is considered not good and by using all existing data attributes. By doing pre-processing, namely feature ... -
Analisa Reduksi Atribut pada Algoritma K-NN dengan PCA dan Gini Index
(Universitas Sumatera Utara, 2022)The success of increasing the accuracy of the dataset using the distance model is very influential on all attributes, so it greatly affects the accuracy of the data. Principal Component Analysis (PCA) and Gini Index ... -
Analisis Akurasi Klasifikasi Data Menggunakan Modifikasi Algoritma Anfis dengan K- Medoids Clustering
(Universitas Sumatera Utara, 2022)The ANFIS algorithm is a technique in data mining that can be used for the data classification process. The ANFIS algorithm still has weaknesses, especially in determining the initial parameters for the network training ... -
Analisis Clustering Menggunakan Normalized Cross Correlation pada Algoritma Fuzzy C– Means Clustering
(Universitas Sumatera Utara, 2022)Fuzzy C-Means Clustering (FCM) has been widely known as a technique for performing data clustering, such as image segmentation. This study will conduct a trial using the Normalized Cross Correlation method on the Fuzzy ... -
Analisis Kinerja Fuzzy Mamdani dan Sugeno pada Prediksi Curah Hujan
(Universitas Sumatera Utara, 2020)Fuzzy logic is an extension of traditional reasoning, where x is a member of set A or not, or an x can be a member of set A with a certain degree of membership (μ). The ability of fuzzy models to map fuzzy values is the ... -
Analisis Model Inferensi Fuzzy Tsukamoto dalam Prediksi Kondisi Jalan
(Universitas Sumatera Utara, 2016)Fuzzy logic begins with the concept of fuzzy set. A fuzzy set describing the relationship between the quantity given x and the membership function (p), which ranges between 0 and l, fuzzy provides a simple way to arrive ... -
Analisis Pengaruh Inisialisasi Bobot Nguyen Widrow dan Learning Rate pada Algoritma Learning Vector Quantization
(Universitas Sumatera Utara, 2015)The artificial neural netwrork is a field of science that is growing at the present time. Many research using artificial neural networks as a research object. Artificial neural networks are often used in daily life to ... -
Peningkatan Akurasi Algoritma Weighted Aggregated SUM Product Assessment (WASPAS) dengan Metode Fuzzy
(Universitas Sumatera Utara, 2022)The determination of the best scholarship recipients in several educational institutions still depends heavily on the subjectivity of the scholarship fund management committee. To provide objective decision results, a ... -
Peningkatan Akurasi pada Metode Klasifikasi Decision Tree Menggunakan Adaptive Boosting (Adaboost)
(Universitas Sumatera Utara, 2022)The Decision Tree Algorithm is an algorithm that has its main advantages compared to other algorithms, the decision tree algorithm is a classification algorithm that is commonly used. The Decision Tree C5.0 algorithm has ...