Browsing Master Theses by Advisor "Amalia"
Now showing items 1-8 of 8
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Algoritma Hibrid Menggunakan CNN dan LSTM untuk Peningkatan Performansi pada Klasifikasi Citra Lesi Kulit
(Universitas Sumatera Utara, 2024)Skin lesions areacondition of abnormal growths or changes in theappearanceofthe skin, such as lumps, abrasions, cysts, or colordifferences. Skin lesionscan bedetected as cancerous and non-cancerous. Detecting earlier skin ... -
Analisis Pengembangan Model Neural Machine Translation (NMT) dengan Transformer untuk Penerjemah Bahasa Indonesia ke Bahasa Gayo
(Universitas Sumatera Utara, 2024)The Gayo language has existed alongside the Gayo people for around 7500 years, but its usage has been continually declining, and its digital documentation is very limited. Preserving the Gayo language is crucial for ... -
Analisis Sentimen Multi-Label Toxic Comment Menggunakan Metode BERT-BiLSTM
(Universitas Sumatera Utara, 2023)The growth of internet users in Indonesia continues to increase every year, one of which is for expressing opinions in online forums such as Twitter, which has now been renamed as X. Social media has negative impacts, such ... -
Klasifikasi Sentimen Menggunakan Algoritma K-NN Berdasarkan Pendekatan Random Search Cross Validation
(Universitas Sumatera Utara, 2024)This research discusses sentiment classification using the K-Nearest Neighbor (K-NN) algorithm with the RANDOM SEARCH CROSS VALIDATION (RSCV) approach. This method aims to classify ChatGPT app user reviews into three ... -
Pemilahan Limbah Padat Berbahaya dan Beracun (B3) Menggunakan Teknik Pembelajaran Ensemble dengan Arsitektur VGG-16 dan Densenet – 121
(Universitas Sumatera Utara, 2024)Waste has become one of the increasingly concerning environmental issues, escalating alongside population growth and human activities. According to data obtained from the Integrated Environmental and Forestry Information ... -
Pemilihan Fitur Menggunakan Metode Ensemble Lasso Regression, Random Forest dan Recursive Features Elimination Dalam Klasifikasi Kanker Payudara
(Universitas Sumatera Utara, 2024)Healthcare datasets, especially those used in cancer diagnosis, often present challenges such as high dimensionality, redundancy, and irrelevant features, which can reduce the performance and reliability of automated ... -
Segmentasi Nasabah pada Data Campuran dengan K-Means Clustering
(Universitas Sumatera Utara, 2024)Customer segmentation is crucial for banks to develop marketing strategies tailored to specific customer groups. While the RFM model is commonly used, enhancing service usage expansion requires data on customer transaction ... -
Unjuk Kerja Term Frequency – Inverse Document Frequency dan K-Means dalam Identifikasi Layanan Pemerintah
(Universitas Sumatera Utara, 2024)Term Frequency-Inverse Document Frequency (TF-IDF) is used to assess the importance of words in a document relative to the rest of the document set, while K-Means clusters documents based on content similarity. Utilizing ...