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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
KLASIFIKASI KECOCOKAN TANAMAN DENGAN PARAMETER DATA PH DAN KELEMBABAN TANAH M…
Terdapat peningkatan penggunaan kemajuan teknologi khusunya dalam bidang kecerdasan buatan dan Internet of Things (IoT). Penggunaan kecerdasan buatan dalam bidang pertanian seperti Internet of Things (IoT) dapat mengoptimalkan hasil panen petani, misalnya aplikasi pemantauan Ph dan Kelembahan yang membuat petani mengatahui nilai Ph dan Kelembaban secara real time dan menampilkan tanaman apa yan…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1579962024
SISTEM REKOMENDASI COLLABORATIVE FILTERING MENGGUNAKAN KOMBINASI METODE CLUST…
A recommendation system helps collect and analyze user data to generate personalized recommendations for users. A recommendation system for movies has been implemented, considering the vast number of available films and the difficulty users face in finding movies that match their interests. One popular recommendation method is Collaborative Filtering (CF). Although widely applied, CF still has …
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- xiii, 87 hlm.; ilus.; 29 cm
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- T1579472024
DETEKSI STRUKTUR JANTUNG PADA ANAK DENGAN VIDEO ULTRASOUND MENGGUNAKAN DEEP L…
Medical imaging, such as ultrasound, is widely used in various diagnoses and medical treatments due to its advantages, including being a comfortable, non-invasive procedure, radiation-free, affordable, and capable of real-time observation. Therefore, the application of deep learning is expected to be used for object detection in children's hearts. This study employs YOLOv5, YOLOv7, and YOLOv8 m…
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- xvii, 103 hlm.; ilus.; 29 cm
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- T1582912024
SEGMENTASI PEMBULUH DARAH PADA CITRA RETINA MENGGUNAKAN ARSITEKTUR RESVNET
The use of retinal images on the eye fundus is becoming an important tool in the medical world, especially for the diagnosis of eye diseases. Segmentation of blood vessels in retinal images is one of the important steps in medical analysis to detect and diagnose various eye diseases, such as diabetic retinopathy, glaucoma, and macular degeneration. Using the ResVNet method, segmentation is perf…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1598012024
ANALISIS KLASIFIKASI SHELLCODE DENGAN MACHINE LEARNING BERBASIS KLASIFIKASI B…
Internet dapat menghubungkan satu orang dengan orang lain dengan menggunakan perangkat masing-masing. Internet sendiri memiliki dampak positif dan negatif. Salah satu contoh dampak negatif dari internet adalah adanya malware yang dapat mengganggu atau bahkan membunuh perangkat atau penggunanya; itulah mengapa keamanan cyber diperlukan. Banyak metode yang dapat digunakan untuk mencegah atau mend…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1595182024
ANALISIS PENERAPAN E-ELECTION DALAM PEMILU DI INDONESIA
E-democracy has become a solution for implementing the democratic process supported by information technology, which in its application has several models that can be used. One form of implementing democracy is the General Election (Pemilu). The part of e-democracy that focuses on the general election process is known as e-election. Elections in Indonesia itself are carried out in two ways, nam…
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- xviii, 95 hlm.; ilus.; 29 cm
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- T1509352024
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
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