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PENERAPAN RETRIEVAL-BASED VOICE CONVERSION UNTUK MEMBANGUN ASET SUARA KARAKTE…
Audio in video games plays a crucial role in creating an immersive and engaging gaming experience. However, indie game developers often face resource constraints, particularly in producing high-quality character voices. Voice cloning technology based on Retrieval-based Voice Conversion (RVC) offers an innovative solution by enabling accurate voice replication and transformation using minimal da…
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- xvi, 66 hlm.; ilus.; 29 cm
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- T1630482024
PERBANDINGAN TF-IDF DAN WORD2VEC UNTUK ANALISIS SENTIMEN MENGGUNAKAN SUPPORT …
Sentiment analysis is a branch of Natural Language Processing (NLP) used to determine public opinions on specific topics as positive, negative, or neutral. This study aims to compare the performance of two feature extraction methods across three scenarios: TF-IDF, Word2Vec-CBOW, and Word2Vec-skipgram. The dataset utilized consists of comments from the Instagram platform @magangmerdeka regarding…
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- xvi, 66 hlm.; ilus.; 29 cm
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- T1627812024
PERBANDINGAN ARSITEKTUR U-NET++ DAN U-NET UNTUK SEGMENTASI PADA CITRA X-RAY DADA
Chest X-ray (CXR) is a vital diagnostic modality for detecting lung diseases, yet manual interpretation is often hindered by low contrast and overlapping anatomical structures. Automatic lung segmentation serves as a crucial pre-processing step in Computer-Aided Diagnosis (CAD) systems. The standard U-Net architecture, despite its popularity, suffers from a "semantic gap" between encoder and de…
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- xv, 106 hlm.; ilus.; tab.; 29 cm
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- T1897222025
SISTEM REKOMENDASI DOSEN PEMBIMBING SKRIPSI MENGGUNAKAN PENDEKATAN HYBRID FIL…
Choosing the right academic supervisor is an important part of writing a thesis, but many students struggle to find the best fit. This study introduces a recommendation system that combines Content-Based Filtering (CBF) and Collaborative Filtering (CF). As part of Natural Language Processing (NLP), the CBF component applies TF-IDF and cosine similarity to process and measure how well a studentâ…
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- xiv, 110 hlm.; ilus.; tab.; 29 cm
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- T1897652025
SISTEM REKOMENDASI MAKANAN INDONESIA MENGGUNAKAN ALGORITMA LONG SHORT-TERM ME…
The vast diversity of Indonesian cuisine often leads to information overload and the "paradox of choice" for users. Existing conventional search systems are unable to understand specific personal preferences, necessitating an intelligent recommendation system. This research aims to (1) design and build a hybrid Indonesian food recommendation system model combining the Long Short-Term Memory (LS…
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- xiv, 163 hlm.; ilus.; tab.; 29 cm
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- T1896432025
SISTEM REKOMENDASI BOARD GAME HYBRID MENGGUNAKAN JARINGAN SIAMESE DENGAN FUNG…
This research addresses the challenge users face in discovering board games that align with their preferences, particularly when those preferences are expressed descriptively in text. Traditional recommendation systems often struggle to capture the semantic nuances within natural language queries and effectively balance these with specific attribute criteria. To overcome this limitation, this s…
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- xii, 145 hlm.; ilus.; tab.; 29 cm
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- T1899342025
KLASIFIKASI CITRA UNTUK MENDETEKSI KELUMPUHAN WAJAH MENGGUNAKAN ARSITEKTUR VG…
Facial paralysis is a condition characterized by the loss of motor function in the facial muscles and requires accurate clinical evaluation. Conventional visual assessments are often subjective, creating variability in diagnosis; therefore, a more consistent image-based assistance system is needed. This study develops an automated classification system for facial paralysis severity using the VG…
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- xv, 125 hlm.; ilus.; tab.; 29 cm
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- T1897122025
KLASIFIKASI KOMENTAR JUDI ONLINE PADA TIKTOK MENGGUNAKAN METODE LONG SHORT-TE…
TikTok social media has evolved into one of the most popular digital platforms; however, its comment sections are frequently misused for the covert promotion of online gambling. The text disguise patterns employed by perpetrators render manual moderation mechanisms difficult and inefficient. This study performs text classification on online gambling comments. The method employed is Long Short-T…
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- xvi, 162 hlm.; ilus.; tab.; 29 cm
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- T1897252025
PENGEMBANGAN MODEL STEGANOGRAFI CITRA BERBASIS U-NET DENGAN CONVOLUTIONAL SPA…
This study proposes an image steganography architecture based on a modified U-Net integrated with Convolutional Spatial Attention (CSA) on the cover stream and a Laplacian-based Residual Map on the Y-channel, designed to produce an embedding probability map that more selectively targets textured regions. The model generates a residual embedding which is inserted using a ±1 modulation scheme wi…
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- xviii, 231 hlm.; ilus.; tab.; 29 cm
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- T1897202025
PENERAPAN NAMED ENTITY RECOGNITION (NER) MENGGUNAKAN ARSITEKTUR LAYOUTLM UNTU…
This study implements the LayoutLM model for the Named Entity Recognition (NER) task to extract nutritional information from packaged food labels. The LayoutLM architecture was chosen for its ability to integrate textual and spatial layout information (bounding boxes), overcoming the limitations of text-only models in processing semi-structured documents. The model was fine-tuned using the open…
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- xvi, 156 hlm.; ilus.; tab.; 29 cm
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- T1897262025
SEGMENTASI POLIP KOLONOSKOPI REAL-TIME UNTUK DETEKSI DINI KANKER KOLOREKTAL D…
Colorectal cancer is a leading cause of cancer-related deaths globally, predominately developing from adenomatous polyps. While colonoscopy is the gold standard for polyp detection, it suffers from a miss rate of 26% due to operator fatigue and visual variability. This study aims to develop a real-time Computer-Aided Diagnosis (CADx) system for polyp segmentation using the efficient YOLOv11-Seg…
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- xiv, 90 hlm.; ilus.; tab.; 29 cm
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- T1897302025
KLASIFIKASI TEKS LOWONGAN KERJA ASLI DAN PALSU MENGGUNAKAN BIDIRECTIONAL ENCO…
Job vacancy information is now more accessible to the public. However, this ease of access also has a negative impact, namely the increased ease with which fake job vacancies can be spread, causing harm to job seekers. Therefore, this study aims to develop a model based on Bidirectional Encoder Representation from Transformers (BERT) to classify genuine and fake job vacancies. The dataset used …
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- xv, 141 hlm.; ilus.; tab.; 29 cm
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- T1897572025
PENERAPAN MODEL BIDIRECTIONAL AND AUTOREGRESSIVE TRANSFORMER-BASE UNTUK ABSTR…
The massive growth of digital information, especially in the form of news articles, demands a system that is able to filter important information efficiently. Abstractive text summarization is a strategic solution in summarizing information by producing new sentences that still represent the main content of the source text. This study aims to apply the Bidirectional and Auto-Regressive Transfor…
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- xii, 120 hlm.; ilus.; tab.; 29 cm
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- T1897212025
PENERAPAN RANDOM FOREST UNTUK KLASIFIKASI POLA PENGETIKAN BERBASIS KEYSTROKE …
Security in authentication systems is a crucial aspect of protecting user data and identity. One approach that can be applied is keystroke dynamics, which analyzes typing patterns as a form of behavioral biometric characteristics. This study aims to develop and evaluate a machine learning based classification model using the Random Forest algorithm to identify user typing patterns. The dataset …
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- xiv, 109 hlm.; ilus.; tab.; 29 cm
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- T1897492025
KLASIFIKASI CITRA MAKANAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DENGAN ARI…
This study develops a food image classification system for Indonesian traditional dishes based on Convolutional Neural Network to support the digitalization of internal processes in the culinary sector, particularly for automatic food identification and menu management. The model is built using the EfficientNet family and evaluated on a dataset consisting of 30 classes of Indonesian traditional…
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- xv, 149 hlm.; ilus.; tab.; 29 cm
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- T1897982025
PREDIKSI GERAKAN BAHASA ISYARAT BERDASARKAN SUARA MENGGUNAKAN HIDDEN MARKOV M…
Communication is very important for humans in their daily lives. However, for people with hearing impairments, this can be a problem. Many people do not understand the sign language used by people with hearing impairments. In order to communicate with people with hearing impairments, people must learn sign language. Therefore, a system that predicts sign language movements based on sound can he…
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- xv, 112 hlm.; ilus.; tab.; 29 cm
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- T1897992025
PERBANDINGAN VGG19 DAN RESNET50V2 UNTUK KLASIFIKASI PNEUMONIA PADA CITRA CHES…
Pneumonia is a lung infection caused by various pathogens and poses a global health threat with a high mortality rate. The World Health Organization (WHO) reports that pneumonia caused approximately 740,180 deaths among children under five years of age in 2019, making early detection essential. Pneumonia is generally diagnosed using chest X-ray images because they are inexpensive, easily access…
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- xv, 111 hlm.; ilus.; tab.; 29 cm
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- T1897712025
OPTIMASI FUZZY TSUKAMOTO DENGAN PARTICLE SWARM OPTIMIZATION (PSO) UNTUK SCREE…
The increasing problem of drug abuse has made it difficult for families to determine whether noticeable changes in a person’s behavior are normal or early signs of addiction. To address this challenge, this study develops an addiction-screening system using the Fuzzy Tsukamoto method combined with Particle Swarm Optimization (PSO). The system assesses four main indicators—physical, psycholo…
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- xiii, 96 hlm.; ilus.; tab.; 29 cm
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- T1897612025
RANCANGAN DAN IMPLEMENTASI ALGORITMA PROBABILISTIC FINITE STATE MACHINE PADA …
Artificial intelligence in video games plays an important role in managing the behavior of non-player characters (NPC) to make them appear dynamic and unpredictable. One method often used is the Finite State Machine (FSM), but this method has limitations because the transitions between states are deterministic and not varied. This study aims to design and implement a Probabilistic Finite State …
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- xv, 134 hlm.; ilus.; tab.; 29 cm
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- T1897962025
INTRUSION DETECTION SYSTEM MENGGUNAKAN AUTOENCODER UNTUK MONITORING JARINGAN …
Intrusion Detection System (IDS) plays a critical role in maintaining network security by identifying abnormal or potentially malicious activities. However, the increasing complexity and volume of network traffic in distributed environments pose challenges for conventional detection systems in terms of accuracy and real-time capability. This study proposes an unsupervised learning-based IDS usi…
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- xii, 140 hlm.; ilus.; tab.; 29 cm
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- T1897242025
KLASIFIKASI PEROKOK BERDASARKAN KARAKTERISTIK FISIK WAJAH MENGGUNAKAN CONVOLU…
Indonesia has a high prevalence of active smokers, reaching 70.6% among adult males in 2019. Smoking is known to cause various physical changes in facial skin, such as accelerated aging and wrinkles. This research aims to develop and test an automated system for classifying smokers based on facial physical characteristics using a deep learning approach. The method used is Transfer Learning, uti…
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- xv, 83 hlm.; ilus.; tab.; 29 cm
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- T1896722025
ASOSIASI PEMBELIAN BARANG KERIPIK DAN KERUPUK MENGGUNAKAN ALGORITMA APRIORI
MSMEs need to understand consumer behavior and improve business efficiency through transaction data analysis. This research focuses on purchasing patterns for chips and crackers products using the Apriori algorithm on transaction data for Rizan 858 Snack MSMEs. The transaction data includes 200 transactions recorded between October 2023 and May 2024. The analysis process was conducted in severa…
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- xvi, 124 hlm.; ilus.; 29 cm
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- T1626962024
PERBANDINGAN ARSITEKTUR CNN DAN VISION TRANSFORMER UNTUK KLASIFIKASI PENYAKIT…
Lettuce (Lactuca sativa L.), is a commodity crop that is frequently consumed around the world. During cultivation, lettuce often faces challenges such as diseases that can cause losses. Classification of diseases on lettuce leaves is an important challenge in maintaining the quality and quantity of crop yields.. This study compares the performance of Convolutional Neural Network (CNN) and Visio…
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- xxii, 68 hlm.; ilus.; 29 cm
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- T1627602024
ANALISIS SENTIMEN PANDANGAN PUBLIK MENGENAI MOBIL LISTRIK MENGGUNAKAN ADASYN …
Climate change and air pollution drive the search for environmentally friendly solutions, such as electric cars. Although they offer benefits like reduced emissions and energy efficiency, public acceptance varies depending on factors like price, infrastructure, and environmental awareness. This study employs the Support Vector Machine (SVM) algorithm as a machine learning model and the ADASYN m…
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- xv, 63 hlm.; ilus.; 29 cm
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- T1628842024
SISTEM PENJADWALAN MATA PELAJARAN MENGGUNAKAN ANT COLONY OPTIMIZATION PADA MA…
In preparing the subject schedule, it must be done correctly because all teaching and learning activities are between teachers and students. So far, the subject scheduling process at MAN 3 Palembang is carried out manually so that clashes often occur between subjects and teachers who teach can teach in different classes at the same time resulting in the teaching and learning process being sligh…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1526322024
EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE.
The increasing number of scientific articles presents a challenge for researchers in quickly accessing relevant information. One of the main challenges is determining efficient keywords. To address this, an automatic keyword extraction system becomes an essential solution, aimed at developing and evaluating methods for keyword extraction to accelerate the search and management of information fr…
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- x, 96 hlm.; ilus.; 29 cm
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- T1627572024
ANALISIS SENTIMEN TERHADAP CYBERBULLYING PADA APLIKASI X MENGGUNAKAN METODE L…
The rapid advancement of the internet and information technology has transformed many aspects of life, including communication through social media. Application X, previously known as Twitter, has become a primary platform for sharing information. However, this convenience also presents challenges, such as cyberbullying, a harmful behavior including threats that affect users' mental health. Thi…
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- xxv, 120 hlm.; ilus.; 29 cm
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- T1627432024
KLASIFIKASI TINGKAT KEMATANGAN BUAH PEPAYA MENGGUNAKAN CONVOLUTIONAL NEURAL N…
Image classification is a major challenge in the digital world, especially in the field of deep learning. so this research develops a classification system using Convolutional Neural Network (CNN) with five architectures namely GoogLeNet (InceptionV3), MobileNet, ResNet50, SqueezeNet, and Visual Geometry Group (VGG16) to classify papaya fruit. With the number of data for ripe papaya 267, unripe…
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- xv, 75 hlm.; ilus.; 29 cm
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- T1629362024
FINE-TUNING INDOBERT UNTUK KLASIFIKASI KATEGORI BERITA BERBAHASA INDONESIA.
The availability of Indonesian news articles on the internet has greatly increased, making it more challenging to recognize and categorize news accurately. Therefore, a solution to this issue is to develop a classification system for Indonesian news article categories. This research aims to classify Indonesian news category using fine-tuning on the pre-trained IndoBERT model. The dataset consis…
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- xvii, 97 hlm.; ilus.; 29 cm
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- T1627362024
ANALISIS SENTIMEN MASYARAKAT TERKAIT PEMBANGUNAN IBU KOTA NUSANTARA (IKN) MEN…
The development of Ibu Kota Nusantara (IKN) has become a topic of public interest, generating various opinions reflecting societal sentiment. This study aims to analyze public sentiment toward the development of IKN using a fine-tuned IndoBERT-based deep learning model. The dataset was collected from platform X, consisting of 18,264 training data, 2,283 validation data, and 2,283 test data, wit…
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- xix, 82 hlm.; ilus.; 29 cm
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- T1628622024
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