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SOFT VOTING ENSEMBLE LEARNING YOLO DENGAN FINETUNING CNN RESNET, EFFICIENTNET…
The rapid advancement of computer vision and deep learning has greatly improved image classification performance. However, maintaining consistent accuracy across diverse datasets and visual conditions remains challenging. This study proposes a soft voting ensemble learning approach for image classification using three fine-tuned Convolutional Neural Networks (CNNs): ResNet, EfficientNet, and De…
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- 92 hlm.; ilus.; tab.; 29 cm.
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- T1945622025
EXPLAINABLE AI (XAI) UNTUK DETEKSI PNEUMONIA DARI CITRA X-RAY MENGGUNAKAN GRA…
Pneumonia remains a leading cause of mortality among toddlers globally, necessitating rapid and accurate early detection methods. While Convolutional Neural Networks (CNN) have proven reliable in medical image classification, their "black-box" nature often hinders clinical adoption due to a lack of transparency. This study aims to bridge this gap through an Explainable AI (XAI) approach using G…
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- xvii, 161 hlm.; ilus.; tab.; 29 cm
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- T1893032025
PEMETAAN TIPE KEPRIBADIAN HOLLAND (RIASEC) MELALUI KLASIFIKASI MULTI-TASK FIT…
Graphology-based personality analysis has emerged as a growing approach in psychometrics and artificial intelligence for identifying individual characteristics through handwriting, while conventional personality assessment methods remain largely dependent on subjective self-assessment questionnaires. This study proposes a mapping of Holland’s personality types (RIASEC) through the classificat…
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- xv, 32 hlm.; ilus.; 29 cm
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- T1914882025
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
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
CREDIT SCORING MENGGUNAKAN ALGORITMA CLASSIFICATION AND REGRESSION TREE (CART…
Berbagai teknik statistik dan machine learning telah digunakan untuk mengembangkan model prediksi keuangan .Dalam hal ini Penilaian kredit sangat berkaitan erat dalam hal prediksi kelayakan kredit. Karena tidak ada kesepakatan umum atas rasio keuangan sebagai fitur masukan untuk pengembangan model, banyak penelitian menganggap pemilihan fitur sebagai langkah pra-pemrosesan dalam data mining seb…
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- xiii, 58 hlm. : ilus. ; 29 cm
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- T580662021
KOMBINASI GRAVITATIONAL SEARCH ALGORITHM DENGAN ALGORITMA BACKPROPAGATION NEU…
Pengembangan diagnosis medis berdasarkan pembelajaran mesin dalam hal prediksi penyakit memberikan diagnosis yang lebih akurat dibandingkan dengan cara tradisional. Dalam hal memprediksi penyakit dapat menggunakan jaringan saraf tiruan. Jaringan saraf tiruan terdiri dari berbagai macam algoritma salah satunya Algoritma BPNN. Dalam makalah ini diusulkan sistem prediksi penyakit menggunakan algor…
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- xiii, 82 hlm. : ilus. ; 29 cm
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- T579432021
OPTIMASI POWER NORMALIZED CEPSTRAL COEFFICIENTS DAN GROWING SELF ORGANIZING M…
Speech recognition system is a technology that allows devices to recognize words by digitizing words and matching digital signals with certain patterns stored in computer devices. The purpose of this study is to develop a speech recognition technique by implementing the Power Normalized Cepstral Coefficients for feature extraction method and classifying it using the Self Organizing Maps and Gro…
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- xv, 78 hlm. : ilus. ; 29 cm
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- T551172021
ANALISIS SENTIMEN E-WALLET DI TWITTER MENGGUNAKAN SUPPORT VECTOR MACHINE DAN …
Grouping of positive or negative sentiments in text reviews is increasingly being done automatically for identification. The selection of features in the classification is a problem that is often not solved. Most of the feature selection related to sentiment classification techniques is insurmountable in terms of evaluating significant features that reduce classification performance. Good featu…
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- 66 hlm,: ilus.; 29 cm
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- T546772021
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