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KLASIFIKASI KANKER PAYUDARA MENGGUNAKAN METODE CONVULATIONAL NEURAL NETWORK D…
Breast cancer is one of the leading causes of death among women worldwide. Early detection of breast cancer is crucial to increase the chances of recovery. This study aims to develop a breast cancer classification system using the Convolutional Neural Network (CNN) method with ResNet-50 and VGG-16 architectures. The data used in this study are breast ultrasound images obtained from a public dat…
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- xv, 69 hlm.; ilus.; 29 cm
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- T1513252024
PEMODELAN DAN SIMULASI DAFTAR ULANG PENERIMAAN PESERTA DIDIK BARU PADA SEKOLA…
The New Student Admission (PPDB) process in high schools is complex and requires efficient management to avoid long queues and errors in data processing. Until now, the Re-registration of New Student Admissions in high schools has always involved hundreds of prospective students in one school, resulting in long service and waiting times. Therefore, a solution is needed to address these issues a…
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- xi, 97 hlm.; ilus.; tab, 29 cm.
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- T1543572024
KLASIFIKASI KONDISI GIGI BERDASARKAN CITRA RGB MENGGUNAKAN CONVOLUTIONAL NEUR…
This study utilizes a deep learning model using a Convolutional Neural Network with ResNet – 18 architecture in classifying dental conditions based on RGB images consisting of four classes: Calculus, Caries, Gingivitis, and Tooth Discoloration. The data used came from a collection of several dental and oral diseases. The preprocessing stages include Resize, Center Crop, Random Resized Crop, R…
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- xiii, 48 hlm.: ilus., tab.; 29 cm
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- T1651892024
ANALISIS PERBANDINGAN KLASIFIKASI INTENT CHATBOT MENGGUNAKAN DEEP LEARNING BE…
A chatbot is a software application to designed handle user inputs and generate appropriate replies based on those inputs, which are then communicated back to the user. In able to provide accurate responses, the chatbot must be able to understand the intent of the user accurately. An issue in the development of chatbots is how to accurate classify user intent. Incorrectly understanding user int…
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- xii, 65 hlm., ilus., tab.; 29 cm
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- T1643912025
KLASIFIKASI JENIS POLA CITRA SIDIK JARI DENGAN ARSITEKTUR XCEPTION, VGG-16 DA…
Penelitian ini bertujuan untuk melakukan klasifikasi pola sidik jari serta menentukan model arsitektur metode CNN, yaitu Xception, VGG-16, dan NasNetLarge, yang paling baik. Sidik jari merupakan identitas biometrik yang unik dan sering digunakan sebagai alat bukti di pengadilan. Namun, berbagai hambatan sering muncul ketika kualitas sidik jari menurun akibat faktor eksternal, seperti permukaan …
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- xv, 50 hlm., ilus., tab.; 29 cm
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- T1631072024
DETEKSI ANOMALI PADA SINYAL VIBRASI BERBASIS VARIATIONAL AUTOENCODER
Analisis sinyal vibrasi telah lama diandalkan dalam berbagai industri sebagai metode untuk mendeteksi anomali yang berpotensi menyebabkan kerusakan serius. Namun, tingginya resolusi data dan ketiadaan label membuat deteksi anomali pada sinyal vibrasi sulit dilakukan dengan metode tradisional. Penelitian ini bertujuan untuk mengembangkan model Variational Autoencoder (VAE) yang mampu mendeteksi …
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- xvi, 86 hlm.; ilus.; tab.; 29 cm.
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- T1634542024
PERBANDINGAN NAIVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE UNTUK ANALISIS…
Demam Berdarah Dengue (DBD) masih menjadi penyakit endemik dan masalah kesehatan masyarakat yang signifikan di Indonesia. Salah satu solusi inovatif yang diterapkan adalah pelepasan nyamuk Aedes aegypti yang terinfeksi bakteri Wolbachia untuk mengurangi transmisi virus dengue. Program ini mendapatkan respons beragam dari masyarakat di platform media sosial seperti Instagram, yang dapat memengar…
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- xv, 124 hlm.; ilus.; tab.; 29 cm.
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- T1630602024
PENERAPAN MODEL ARIMA UNTUK PREDIKSI TINGKAT PERCERAIAN BULANAN PADA PENGADIL…
Predicting the divorce rate is important to be done because the data has a trend in numbers that change every month. So that court officials or social scientists in developing effective strategies to overcome marriage problems, allocate resources, or support families who need counseling, can be prepared in advance, especially at the Religious Courts of South Sumatra in order to reduce the divor…
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- xiii, 52 hlm.; ilus.; tab.; 29 cm
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- T1452082024
SEGMENTASI PEMBULUH DARAH PADA CITRA RETINA MENGGUNAKAN METODE CONVOLUTIONAL …
The U-Net architecture has a fairly deep network. The addition of layers in the U-Net architecture network can increase the complexity of the U-Net network which can affect the training time to be longer and parameter enlargement. This study modifies U-Net by reducing the complexity of U-Net by removing the bridge part of U-Net. The removal of the bridge in U-Net is known as V-Net architecture.…
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- xv, 70 hlm.; ilus.; tab.; 28 cm.
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- T1451612024
DETEKSI MALWARE PADA FILE PORTABLE DOCUMENT FORMAT (PDF) DENGAN BYTE FREQUENC…
Portable Document Format (PDF) files as well as files in several other formats such as (.docx, .hwp and .jpg) are often used to conduct cyber attacks. According to VirusTotal, PDF ranks fourth among document files that are frequently used to spread malware in 2020. Malware detection is challenging partly because of its ability to stay hidden and adapt its own code and thus requiring new smarter…
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- xii, 39 hlm.; Ilus.; 29 cm
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- T1385772024
DETEKSI LESI PRA-KANKER SERVIKS PADA CITRA KOLPOSKOPI MENGGUNAKAN CONVOLUTION…
Deteksi lesi pra-kanker serviks memegang peran krusial dalam menganalisis citra medis untuk diagnosa yang tepat. Keterbatasan pengamatan visual mendorong perlunya deteksi berbasis komputer. Penelitian ini mengusulkan model deteksi lesi pra-kanker serviks menggunakan Convolutional Neural Network (CNN) dengan arsitektur YOLO, memberikan akurasi yang tinggi. Dua dataset digunakan, pertama dari IAR…
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- xiv, 71 hlm.; Ilus.; 29 cm
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- T1406082024
KLASIFIKASI SINYAL EEG UNTUK MENGENALI JENIS EMOSI MENGGUNAKAN RECURRENT NEUR…
Penelitian ini berfokus pada eksplorasi mendalam dan analisis tentang penerapan dua jenis Recurrent Neural Network (RNN), yakni Long Short-Term Memory (LSTM) dan Gated Recurrent Unit (GRU). Dua model tersebut dilatih dengan parameter yang sama, terdiri dari 3 lapisan, menggunakan fungsi aktivasi relu, dan menerapkan 1 tingkat dropout. Dalam rangka membandingkan kinerja keduanya, dilakukan perco…
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- xiv, 36 hlm.; Ilus.; 29 cm
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- T1406102024
CLUSTERING SERANGAN MAN IN THE MIDDLE (MITM) PADA BLOCKCHAIN BERBASIS CHAIN D…
Network security on Internet of Thing (IoT) devices in the IoT development process may open rooms for hackers and other problems if not properly protected, particularly in the addition of internet connectivity to computing device systems that are interrelated in transferring data automatically over the network. This study implements network detection on IoT network security resembles security s…
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- xi, 58 hlm.; Ilus.; 29 cm
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- T1393112024
KLASIFIKASI JENIS EMOSI MENGGUNAKAN DEEP LEARNING BERDASARKAN SINYAL ELECTROE…
This research focuses on in-depth exploration and analysis of the application of three types of deep learning, namely Convolutional Neural Networks (CNN), Bidirectional LSTM (BI-LSTM) and Deep Neural Network (DNN). The three models are trained with the same parameters, consisting of three layers, using the Relu activation function, and applying 1 dropout level. In order to compare the performan…
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- xiii, 61 hlm.; Ilus.; 29 cm
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- T1405542024
SEGMENTASI RUANG JANTUNG DALAM KONDISI KARDIOMEGALI MENGGUNAKAN METODE CONVOL…
Kardiomegali merupakan penyakit yang tidak memiliki tanda atau gejala pada beberapa penderitanya dan kemungkinan memiliki gejala seperti sesak napas, detak jantung tidak normal (aritmia), dan edema. Kardiomegali akan menyebabkan jantung penderita memompa lebih keras dari biasanya atau secara bertahap merusak otot jantung seperti jantung berdebar, sesak dada, dan sesak napas. Mendiagnosis dini k…
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- xvii, 62 hlm.; Ilus.; 29 cm
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- T1388402023
INSTANCE SEGMENTATION PADA MAGNETIC RESONANCE IMAGING TUMOR OTAK MENGGUNAKAN …
Pencitraan medis, seperti MRI, berperan penting dalam mensegmentasi tumor otak, tetapi banyak tugas yang masih bergantung pada penilaian manual yang memakan waktu. Oleh karena itu, dibutuhkan segmentasi otomatis yang akurat untuk mempercepat diagnosis dan penanganan. Dengan menggunakan model-model terkini, YOLOv7 dan YOLOv8 yang didukung oleh dasar kerja CNN, penelitian dilakukan untuk mensegme…
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- xv, 85 hlm.; Ilus.; 29 cm
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- T1380612024
DEEP LEARNING BERBASIS CONVOLUTIONAL NEURAL NETWORK UNTUK PENGENALAN POLA PAR…
Partial discharge (PD) activity measurements have been carried out by selecting noise signals (de-noising) using Support Vector Machine (SVM)and then recognized using Convolutional Neural Network (CNN). CNN testing was carried out using various models such as activation methods: Sigmoid, Softmax, Relu, Tanh, Swish. Number of layers used is 1, 2, 3, 4 with filter sizes of 32, 64, 128, 256 and ke…
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- xiii, 74 hlm.; ilus.; 29 cm
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- T1289812023
KLASIFIKASI SINYAL EEG EPILEPSI MENGGUNAKAN HYBRID CONVOLUTIONAL NEURAL NETWO…
Kejang epilepsi merupakan salah satu gangguan sistem saraf pusat otak yang memiliki banyak gejala, seperti kehilangan kesadaran, perilaku yang tidak biasa dan kebingungan. Dalam banyak kasus, gejala-gejala ini menyebabkan cedera karena jatuh atau bahkan menggigit lidahnya sendiri. Pendeteksian kemungkinan kejang epilepsi bukanlah tugas yang mudah. Sebagian besar kejang terjadi secara tidak terd…
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- xiv, 54 hlm.; Ilus.; 29 cm
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- T1113342023
PENGENALAN KEPRIBADIAN MELALUI TULISAN TANGAN MENGGUNAKAN CONVOLUTIONAL NEURA…
A person's handwriting is different and unique, even though it looks similar it is certainly not the same as someone else's writing. One's personality traits can be identified based on handwriting. One of the implementations is (handwriting recognition). To identify a person's personality, it can be classified by handwriting using the 'Graphology' field. The computational system to identify han…
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- xvi, 65 hlm.; ilus.; 29 cm
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- T1309552023
KOMBINASI FUZZY C-MEANS DAN TOPSIS UNTUK PEMERINGKATAN PERGURUAN TINGGI DI LE…
Prior to now , the ranking of higher education institutions, particularly those at the Regional II Palembang Higher Education Service Institution, was based on one component of the work unit's criteria. This makes the university ranking results superior on one criterion but inferior on another. The number of instructors and the number of students at one hundred universities in the South Sumatra…
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- xv, 46 hlm.; Ilus.; 29 cm
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- T1046602023
KLASIFIKASI KEMIRIPAN SUARA REKAMAN MENGGUNAKAN METODE MEL-FREQUENCY CEPSTRAL…
Teknologi saat ini telah mendominasi berbagai bidang mulai dari pendidikan, perkantoran, komersial, industri bahkan hukum. Dengan kemajuan teknologi informasi kebutuhan manusia akan tersedia dengan mudah, praktis dan tanpa batas. Disisi lain, berkembangnya teknologi informasi menimbulkan kekhawatiran pada perkembangan tindak pidana yang berhubungan dengan kejahatan. Pada beberapa kasus biasanya…
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- xvi, 41 hlm.; ilus.; 29 cm
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- T1307732023
PENENTUAN POLA PEMINJAMAN BUKU DI PERPUSTAKAAN DENGAN VERIFIKASI HASIL DATA P…
Since the outbreak of Covid in 2019, library visitors have decreased drastically, resulting in insufficient data and library staff unable to sort books according to visitor criteria on a regular basis as before. Librarians who play a role in book stock must understand book lending transaction activities if they are to improve library visitor services. The application of the Data Mining concept …
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- vii, 87 hlm.; ilus.; 29 cm
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- T1278142023
ANALISIS PERBANDINGAN METODE CNN-LSTM-GRU DALAM DIAGNOSIS PASIEN SKIZOFRENIA …
Schizophrenia (SZ) is a brain disease with a chronic condition that affects the ability to think. Common symptoms that are often seen in this disorder are hallucinations, delusions, abnormal behavior, speech disorders, and mood disorders. Schizophrenic patients can be diagnosed using electroencephalography (EEG) signals. This study conducted a comparative analysis of which method is best in EEG…
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- xiv, 64 hlm.; ilus.; 29 cm
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- T935822023
KLASIFIKASI PENYAKIT KULIT DERMATITIS ATOPIK DAN PSORIASIS MENGGUNAKAN METODE…
Skin is the one of the body parts that play a large role in human physical body. There are so many functions of the skin such as offering protection against fungal infection, bacteria, allergy, viruses and controls the temperature of the body. But, the reported shown that the skin disease is the most common disease in humans among all age groups and a significant root of infection. The diagnosi…
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- xi, 128 hlm.; ilus.; 29 cm
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- T811502022
DIAGNOSA PENDERITA SKIZOFRENIA MELALUI SINYAL EEG-1D MENGGUNAKAN CONVOLUTIONA…
Schizophrenia is a mental disorder that generally appears in the form of auditory hallucinations, paranoia, or disorganized speech and thinking. Schizophrenia can be diagnosed using an EEG signal examination. This study conducted a comparative analysis of the best method for classifying EEG using the Deep Learning (DL) method. The author uses the 1D Convolutional Neural Network (1D CNN) method …
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- xi, 43 hlm.; ilus.; 29 cm
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- T822092022
ANALISA KOMPARASI PEMODELAN PENGENDALIAN FORMASI MULTI-ROBOT DENGAN MENGGUNAK…
Multi robot merupakan robot yang terdiri dari beberapa robot yang saling terhubung serta dapat berkomunikasi dan berkolaborasi satu sama lain untuk menyelesaikan suatu tujuan dengan kesamaan fisik yang memiliki dua roda terkendali dan satu roda bebas bergerak dengan kecepatan yang sama. Dalam penelitian ini, untuk mengendalikan pergerakan formasi multi robot dalam mencari target karena harus me…
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- xvi, 132 hlm.; ilus.; 29 cm
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- T755572022
KLASIFIKASI CITRA HIPERSPEKTRAL PADA TUTUPAN LAHAN MENGGUNAKAN 3D CONVOLUTION…
Land cover with hyperspectral satellite imagery can provide accurate information in the earth surface monitoring activities. Various studies have been developed on the land cover hyperspectral imagery classification, but limited public data is an obstacle in determining the right classification model. Several studies validate model performance by testing with large test data and very limited tr…
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- xiv, 84 hlm.; ilus.; 29 cm
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- T797532022
KLASIFIKASI LESI PRA-KANKER SERVIKS MELALUI CITRA MEDIS IVA MENGGUNAKAN METO…
The high-level infection of Human Papilloma Virus (HPV) causes cervical cancer to become the second most common disease that affects women, especially in low-middle income countries (LMICs), including Indonesia. Early screening for pre-cancerous lesions is one way to reduce the spread of cervical cancer. Visual inspection with acetic acid (VIA) is one initial screening methods recommended by th…
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- xiv, 69 hlm.; ilus.; 29 cm
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- T747422022
SEGMENTASI DAN KLASIFIKASI PENYAKIT PARU-PARU MENGGUNAKAN CONVOLUTIONAL NEURA…
Various kinds of lung diseases have become the main cause of death and the cause of many respiratory system complications that result in the death of millions of people every year. The use of medical images along with the deep learning methods can provide faster and more accurate detection of the disease. However, detection using medical images of the lungs also has challenges in the form of va…
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- xiv, 59 hlm.; ilus.; 29 cm
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- T786152022
PENGENALAN CITRA WAJAH MENGGUNAKAN MINIMUM DISTANCE CLASSIFIER BERDASARKAN PR…
The combination of Principal Component Analysis (PCA) and Minimum Distance Classifier methods in face recognition can work well on more than one standard datasets. The addition of pre-processing stages in the form of image enhancement in this studyis very important in improving the quality of the input image so that it can provide better accuracy than previous studies without slowing down the s…
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- xi, 57 hlm. : ilus. ; 29 cm
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- T573452021
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