Department of Information Technology: Recent submissions
Now showing items 321-340 of 1385
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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 ... -
Klasifikasi Citra pada Wajah Down Syndrome dengan Support Vector Machine
(Universitas Sumatera Utara, 2023)Disorders that affect physical and mental growth retardation are known as Down Syndrome. The characteristics seen in patients with the syndrome are not like normal conditions in general, such as relatively short height, ... -
Analisis Kombinasi Cross Validation dan Extreme Gradient Boost pada Klasifikasi Data Tidak Seimbang
(Universitas Sumatera Utara, 2022)As a novel and efficient ensemble learning algorithm, XGBoost has been widely applied due to its multiple advantages, but its classification effect in cases of data imbalance is often not ideal. Because of it, efforts ... -
Analisis Kinerja Jaringan Syaraf Tiruan untuk Memprediksi Kasus Tuberkulosis Paru dengan Metode Backpropagation
(Universitas Sumatera Utara, 2022)Artificial neural networks are information processing systems that have certain performance characteristics in common with biological neural networks. Backpropagation is a method in artificial neural networks that uses ... -
Kombinasi Ant Colony - Tabu Search (ACTS) dan Firefly Algorithm - Tabu Search (FATS) dalam Menyelesaikan Travelling Salesman Problem
(Universitas Sumatera Utara, 2022)Traveling Salesman Problem (TSP) is a classic combinatorial optimization problem, one of the optimization problems that can be applied to various activities such as finding the shortest path. The optimization problem in ... -
Optimasi Algoritma Support Vector Machine Menggunakan Particle Swarm Optimization dengan Kernel RBF, Linear, Polynomial, Sigmoid dalam Klasifikasi Data Stunting
(Universitas Sumatera Utara, 2023)In the development of health in Indonesia, stunting is a severe problem in health and welfare. The problem that often arises at the Medan City Health Office is when the data collected for stunting evaluation is consistently ... -
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 ... -
Klasifikasi Fire Weather Index untuk Indikator Kebakaran Hutan dengan Metode Support Vector Machine
(Universitas Sumatera Utara, 2022)The Fire Weather Index is one of the main subsystems of the Canadian Forest Fire Danger Rating System (CFFDRS). The Fire Weather Index has been studied by several researchers for several geographic areas in the world and ... -
Hybrid Cryptosystem Algoritma Rabbit Stream dan Enhanced Dual RSA untuk Pengamanan Berkas Digital
(Universitas Sumatera Utara, 2022)Cryptography is a technique for encoding data by encrypting plaintext into an unreadable (meaningless) form. Along with the development of the times, agencies tend to use electronic documents for exchanging data because ... -
Optimasi Kinerja Random Forest pada Klasifikasi Data Microarray Menggunakan Minimum Redundancy Maximum Relevance
(Universitas Sumatera Utara, 2023)Cancer is a disease that can spread to other cells/tissues in the patient's body and its growth cannot be controlled. In Indonesia, the prevalence of cancer in the 2018 Riskesdes data was 1.79 per 1,000 population with ... -
Analisis Cluster dengan Menggunakan Metode K-Means dan K-Medoids untuk Clustering Data Donatur Lembaga Amil Zakat
(Universitas Sumatera Utara, 2023)Cluster analysis is a multivariate analysis method whose purpose is to classify an object into a group based on certain characteristics. In cluster analysis, determining the number of initial clusters is very important so ... -
Optimasi Trade Off CNN Ringkas untuk Klasifikasi Rumput Liar Menggunakan Transfer Learning dan Fine-Tuning Hyperparameter
(Universitas Sumatera Utara, 2023)In the 4.0 era, precision agriculture is critical in ensuring food availability while maintaining environmental sustainability. Weeds are a serious threat to crops because they can inhibit plant growth and absorption of ... -
Perbandingan Algoritma Generalization Of The Elgamal dan Multi-Factor Rsa
(Universitas Sumatera Utara, 2022)With the rapid development of technology, it is now possible to communicate over long distances by utilizing communication media, making it easier for someone to access communication media over long distances. With the ... -
Analisis Sistem Load Balancing pada Web Server Berdasarkan Ketersediaan Server Menggunakan Metode Fuzzy
(Universitas Sumatera Utara, 2022)Load balancing has been distributed server load to increase service performances as well as service distribution. The algorithms have been long discussions, experiments, and implementations. This work assesses server ... -
Analisis Kinerja Algoritma K-Nearest Neighbors untuk Identifikasi dan Pengenalan Wajah
(Universitas Sumatera Utara, 2022)Development of science and technology modern face detection and recognition applied in more sectors like verification identity by every face move application from various orientation angles. K-Nearest Neighbors algorithm ... -
Optimasi Metode Single Exponential Smoothing dengan Fuzzy Time Series dalam Prediksi Angka Jumlah Pasien Covid-19
(Universitas Sumatera Utara, 2022)The Fuzzy Time Series is a way of capturing patterns from something past to get a chance at future predictions. In making predictions, it can be done by taking data and making a decision. To improve the performance of the ... -
Analisis Kinerja Smarter untuk Pembobotan Atribut pada Mabac dalam Pengambilan Keputusan
(Universitas Sumatera Utara, 2022)MABAC is a decision support method developed by Pamucar and Cirovic to solve decision-making problems involving multiple attributes. In several previous studies, the weighting of attributes on the MABAC was carried out in ... -
Kombinasi Multilayer Fuzzy Inference System (MFIS) dengan K-Means pada Sistem Klasifikasi Penyakit Gigi
(Universitas Sumatera Utara, 2022)Screening is an important procedure that must be passed in every task before determining the action to be taken by all health workers. In the field of dental and oral health, a patient is often found who cannot represent ... -
Analisis Variasi Jumlah Fitur MFCC pada LSTM dalam Klasifikasi Suara Aksen Berbahasa Inggris
(Universitas Sumatera Utara, 2022)Numerous research have been performed to classify English accents using both classic and contemporary classification methods. In general, past research on voice classification and voice recognition employs the MFCC approach ...