• Analisis Kombinasi Algoritma 3DES Dan DCT 2D Pada Pengamanan File Pesan ke Dalam Media Citra 

  Guntur, Surya (Universitas Sumatera Utara, 2019)

  In the digital era, communication through computer networks plays an important role. Through electronic communication, a person can make transactions or communication very quickly and practically. Sending data / messages ...

• Analisis Centroid Clustering Menggunakan Metode X-Means 

  Sipayung, Sardo Pardingotan (Universitas Sumatera Utara, 2019)

  Centroid is the data center point in the grouping process, it is necessary to analyze the centroid in determining the initial value in the initial process of clustering. So that it is used as a cluster center point in ...

• Analisis Metode Fuzzy Logic Untuk Robot Pengangkat Beban 

  Siregar, Muhammad Furqon (Universitas Sumatera Utara, 2019)

  Fuzzy logic method is used to overcome uncertain input load calculations. The intended value lies in the amount of load that will be clamped and lifted by the robot lever. All systems are integrated and controlled by the ...

• Analisis Metode K-Nearest Neighbor dan Naïve Bayes Classifier Dalam Klasifikasi Citra 

  Wayahdi, M. Rhifky (Universitas Sumatera Utara, 2019)

  This study analyzed the performance of the K-Nearest Neighbor (k-NN) method and Naïve Bayes Classifier (NBC) in fruit image classification to determine the level of maturity based on color characteristics and statistics. ...

• Analisis Kinerja Rprime RSA dan Multi-Factor RSA Dalam Mengamankan Pesan 

  Nasution, Nadia Widari (Universitas Sumatera Utara, 2019)

  Message security is an important thing to prevent the interference from third parties. RSA cryptographic algorithm is believed to be a powerful algorithm in securing message. However, RSA computing process takes a long ...

• Analisis Modifikasi Chipertext pada Algoritma El-Gamal Menggunakan Metode Split Merge Untuk Meningkatkan Keamanan Pesan 

  Asri, Rahmadi (Universitas Sumatera Utara, 2019)

  Information technology is developing increasingly rapidly, especially the sender of information or messages through the internet network. Telephony communication technology is also shifting through the internet network, ...

• Adaptive Moment Estimation Untuk Meminimalkan Kuadrat Error pada Algoritma Backpropagation 

  Singarimbun, Roy Nuary (Universitas Sumatera Utara, 2019)

  Backpropagation in the Artificial Neural Networks (ANN) is a gradient descent method to minimize the value of square error on output. In learning algorithm, the backpropagation algorithm is in sufficient to minimize the ...

• Modifikasi Mel-Frequency Ceptral Coefficient (MFCC) pada Sistem Penghafalan Al-Qur’an dalam Pengenalan Pola Nagham Al-Qur’an 

  Afrillia, Yesy (Universitas Sumatera Utara, 2018)

  This research provides new innovations for tahfidz in memorizing the Qur'an more efficiently so as to minimize the length of time learning in memorizing the Qur'an. Many previous studies used signal and sound processing ...

• Seleksi Fitur Dataset Menggunakan Principal Component Analysis (PCA) untuk Meningkatkan Akurasi Klasifikasi Decision Tree C4.5 

  Nasution, Muhammad Zul Fahmi (Universitas Sumatera Utara, 2018)

  Splitting attribute is a major process in decision tree C4.5 classification. However, this process does not give a significant impact on the establishment of the decision tree in terms of removing irrelevant features. ...

• Analisis Kinerja Metode K-Nearest Neighbor dalam Sistem Zonasi PPDB 

  Syuhada, Rahmad (Universitas Sumatera Utara, 2019)

  In the 2018-2019 school year the government through the Minister of Education and Culture of the Republic of Indonesia issued Ministerial Regulation number 51 of 2018 regarding the admission of new students (PPDB), it was ...

• Peningkatan Kualitas Citra Menggunakan Algoritma Spatial Median Filter dan Adaptive Fuzzy Contrast Enhancement 

  Marpaung, Preddy (Universitas Sumatera Utara, 2018)

  A good image is an image that can display the beauty of the image (artistic) and image clarity for analysis and other purposes (intrinsic). Image quality can not be interpreted because of the noise and low image contrast. ...

• Analisis Algoritma Support Vector Machine Learning dan K-Nearest Neighbor dalam Akurasi Data 

  Anisah, Nur (Universitas Sumatera Utara, 2019)

  There are three provisions in the Stipulation of New Student Admissions which have been established by the Minister of Education and Culture of the Republic of Indonesia as guidelines for the admission of new students, ...

• Peningkatan Akurasi Pendeteksian Wajah Tua dan Muda pada Metode Template Matching dengan Fuzzy Associative Memory (Fam) 

  Sembiring, Rafika Sari BR (Universitas Sumatera Utara, 2019)

  Using a combination of Template Matching methods by using Fuzzy Associative Memory (FAM) in real-time for the detection of old and young faces on a webcam that tends to be more complex and change more quickly in the ...

• Analisis Accurate Learning Radial Basis Function Neural Network Menggunakan Cosine Similarity pada Pengenalan Daun 

  Saleh, Amir (Universitas Sumatera Utara, 2018)

  Radial basis function (RBF) is a method of artificial neural network that perform hybrid learning, namely supervised learning and unsupervised learning. Basically, problems found in learning of radial basis function (RBF) ...

• Pengoptimalan Akurasi Pengenalan Pola Backpropagation pada Citra Huruf Terdegradasi Memanfaatkan Restorasi Citra MRF 

  Ginting, Deny Saputra (Universitas Sumatera Utara, 2018)

  Ussualy, OFR (Optical Font Recognition) Backpropagation is used for recognize Font’s patterns is in normal condition. And has several stages of pre-processing involves noise filtering, binarization, cropping, resizing and ...

• Peningkatan Akurasi pada Metode Klasifikasi Neural Network Backpropagation Menggunakan Principal Component Analysis 

  Sitompul, Kristin Lourensi (Universitas Sumatera Utara, 2019)

  The Backpropagation Neural Network Method has several disadvantages including the accuracy of the data and the selection of appropriate attributes to get the best results in accuracy. Therefore the researcher makes a ...

• Identifikasi Jenis Tanaman Jamur Beracun Menggunakan Pendekatan K-Nearest Neighbor 

  Aruan, Theresia (Universitas Sumatera Utara, 2017)

  Jamur merupakan tanaman yang tidak memiliki klorofil dan hidupnya bergantung pada mahkluk hidup lainnya. Jenis jamur sangat beragam, bermanfaat dalam bidang pangan, kesehatan, ekonomi, pertanian dan ada pula yang dapat ...

• Sistem Pendeteksian dan Geotagging Citra Papan Iklan Secara Real-Time 

  Dennis (Universitas Sumatera Utara, 2017)

  Papan iklan (advertisement billboard) merupakan salah satu media promosi yang efektif untuk memberikan informasi mengenai suatu produk atau jasa. Saat ini, pendataan papan iklan sudah dilakukan dengan baik. Akan tetapi, ...

• Klasifikasi Jenis Pengaduan Konsumen dari Layanan Media Sosial dengan Menggunakan Text Mining 

  Siregar, Ramadan Putra (Universitas Sumatera Utara, 2017)

  Sekarang ini, media sosial khususnya Twitter menjadi salah satu media alternatif sebagai layanan pengaduan konsumen di kalangan perusahaan penyedia jasa/produk. Namun, tingginya jumlah pengaduan dan twitter tidak memiliki ...

• Implementasi Bayesian Model Averaging pada Aplikasi Forecasting Data Cuaca Memanfaatkan Open Weather Map 

  Nasution, Fachru Rozi (Universitas Sumatera Utara, 2016)

  Cuaca merupakan suatu kondisi udara di suatu tempat pada waktu yang relatif singkat, yang dinyatakan dengan nilai berbagai parameter seperti suhu, tekanan udara, kecepatan angin, kelembaban udara, dan berbagai fenomena ...

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