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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
PERBANDINGAN ALGORITMA XGBOOST, LIGHTGBM DAN RANDOM FOREST UNTUK KLASIFIKASI …
Emotion recognition based on Electroencephalogram (EEG) signals has become an intriguing research field in human-computer interaction and medical applications with the potential to provide deep insights into patients' mental conditions. This study aimed to compare the performance of three machine learning algorithms, XGBoost, LightGBM, and Random Forest, in classifying EEG signals for emotion r…
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- xix, 145 hlm.; ilus, 29 cm
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- T1627472024
SISTEM REKOMENDASI MUSIK MENGGUNAKAN METODE CONTENT-BASED FILTERING DAN ALGOR…
The development of music streaming platforms has created a "paradox of choice" phenomenon, where the abundance of music options makes it difficult for users to find songs that match their preferences. This research develops a music recommendation system using Content-Based Filtering method and Term Frequency-Inverse Document Frequency (TF-IDF) algorithm to address this issue. The study aims to …
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- xv, 87 hlm.; ilus.; 29 cm
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- T1629812024
KLASIFIKASI BERBASIS ONTOLOGI UNTUK DOKUMEN TUGAS AKHIR DENGAN METODE PEMBOBO…
The classification of undergraduate thesis documents is a crucial process for organizing and categorizing student research into appropriate fields of study. This research develops an ontology-based document classification system for final projects by integrating the FastText word embedding method to improve classification accuracy. The system utilizes BidangIlmuInformatika.owl ontology as a kno…
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- xvii, 87 hlm.; ilus.; 29 cm
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- T1629342024
PENGAMBILAN KEPUTUSAN AGEN CERDAS PADA GAME EDUKASI “CERITA RAKYAT TIMUN MA…
"Timun Mas Adventure: Learn & Leap" adalah permainan edukasi bergenre Endless Runner. Dalam gameplay, pemain menyelesaikan objektif dalam permainan ini memanfaatkan agen cerdas untuk NPC. Selain sebagai hiburan, game ini mendidik masyarakat tentang cerita rakyat Timun Mas. Penelitian ini menggunakan Finite State Machine (FSM) untuk menguji interaksi agen cerdas dengan pemain. Hasil pengujian me…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1572482024
KLASIFIKASI SMS SPAM BERBAHASA INDONESIA MENGGUNAKAN K-NEAREST NEIGHBOR DAN C…
SMS Spam sangat membahayakan sehingga dapat menyebabkan kerugian bagi pengguna layanan SMS. Untuk mengatasi hal tersebut, dibutuhkan metode yang dapat membantu mengelompokan SMS sesuai dengan ketegorinya, yaitu Spam dan non spam. Klasifikasi merupakan salah satu proses mengelompokkan data kedalam kelas yang telah ditentukan sebelumnya. Pengklasifikasian melewati beberapa tahapan yaitu, pra peng…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1571702024
SEGMENTASI PELANGGAN MENGGUNAKAN ALGORITMA K-MEANS DENGAN ELBOW METHOD PADA S…
Customer segmentation is a significant application of data analysis in business. This research uses the K-Means algorithm to group customer data based on transaction habits, with parameters from the dataset as cluster determinants. To determine the optimal number of clusters, the Elbow Method is applied, which is based on the highest difference of inertia values. The results show that 2 cluster…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1571312024
ANSWER FINDING PADA INDONESIA QUESTION ANSWERING SYSTEM MENGGUNAKAN REGULAR E…
A Question Answering System (QAS) is an automated system designed to provide accurate answers to questions posed using natural language. This research aims to determine the ability of the Indonesian QAS built to perform answer finding or predict the answers submitted to the system using regular expression and cosine similarity methods. The steps taken include filtering the system's documents th…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1532052024
KLASIFIKASI JENIS BUNGA MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK
ATechnological advances drive the need for accurate automatic classification systems, such as in flower type identification, which is still often done manually. This study aims to measure the performance of the DenseNet201 architecture in classifying five types of flowers (Daisy, Dandelion, Rose, Sunflower, and Tulip) using a Convolutional Neural Network (CNN). The model was developed with a fu…
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- xv, 102 hlm.; ilus.; tab.; 29 cm.
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- T1893802025
OPTIMASI NILAI K PADA KNN MENGGUNAKAN PARTICLE SWARM OPTIMIZATION UNTUK DIAGN…
Stroke is a leading cause of disability and death worldwide, making accurate early diagnosis essential to reduce long-term impacts. This study aims to implement K-Nearest Neighbors (KNN) for Stroke diagnosis Classification and to optimize the value of K using Particle Swarm Optimization (PSO). The dataset was obtained from Kaggle, consisting of 5,110 entries and 12 demographic and clinical feat…
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- xiii, 142 hlm.; ilus.; tab, 29 cm
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- T1889862025
CLUSTERING MENGGUNAKAN METODE K-MEDOIDS PADA ARTIKEL BERITA ONLINE BERBAHASA …
The rapid growth of Indonesian online news articles presents challenges in clustering based on content similarity. This study aims to develop a clustering system for online news articles using the k-medoids method. A total of 500 articles from Kaggle were processed through text preprocessing (case folding, tokenizing, stopword removal, and stemming), TF-IDF weighting, and clustering with k-medo…
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- xv, VI-2 hlm.; ilus.; tab.; 29 cm.
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- T1844532025
PENCARIAN BAKAT (TALENT SCOUTINGI) RENANG PADA ANAK MENGGUNAKAN ALGORITMA K-N…
Swimming requires an objective and efficient talent identification system. This study develops a machine learning-based system using the K-Nearest Neighbors (KNN) algorithm to predict young athletes' potential based on anthropometric and motor skill data. The dataset consists of 50 normalized samples evaluated through K-Fold Cross Validation (K=5 and 10). Test results show the optimal configura…
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- xiv, IV-2 hlm.; ilus.; tab.; 29 cm.
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- T1844382025
RESTORASI CITRA TERDERAU DENGAN METODE NON-LOCAL MEANS DENOISING
Digital images are one of the most used for various applications that is always in our everyday life. These images always come with noises, an anomaly that distorts the image further from its original condition. This could be fatal to some of the everyday life usage that humans do, such as medical conditions. The method in this study, Non-Local Means will be used to restore these images to at l…
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- xv, 42 hlm.; ilus.; 29 cm
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- T1574732024
KLASIFIKASI TUBERKULOSIS (TBC) DARI CITRA X-RAY MENGGUNAKAN METODE CONVOLUTIO…
Tuberculosis (TB) is one of the world's deadliest infectious diseases, affecting millions of people each year. Rapid and accurate diagnosis of TB is essential for effective treatment and control of the spread of the disease. This study develops a TB classification model from lung X-ray images using the Convolutional Neural Network (CNN) method with MobileNetV2 architecture. The dataset used con…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1590452024
SISTEM PENDETEKSIAN MULTI-WAJAH MENGGUNAKAN METODE SLICING AIDED HYPER INFERE…
Face detection is the basis of the recognition process used in various applications such as security, biometrics, and law enforcement. Multi-face detection becomes relevant for detecting face more than one at a time. The challenge in developing a multi-face detection system involves the complexity of managing several special conditions, one of which is the condition of different face orientatio…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1589732024
SISTEM DETEKSI PENYAKIT MATA KATARAK DENGAN MENGGUNAKAN CONVOLUTIONAL NEURAL …
Penyakit mata katarak merupakan salah satu penyebab utama kebutaan di dunia. Terbatasnya pengetahuan dan kewaspadaan masyarakat terkait penyakit ini, mengakibatkan semakin tingginya tingkat pengidap gangguan pengelihatan. Tujuan dari penelitian ini adalah untuk membangun sistem yang dapat mendeteksi penyakit mata katarak menggunakan Convolutional Neural Network (CNN). Diharapkan sistem ini dapa…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1567942024
ANALISIS SENTIMEN ULASAN RESTORAN PADA TRIPADVISOR MENGGUNAKAN MERTODE SELEKS…
Tripadvisor is a website that provides information about restaurants, user-generated restaurant reviews.data in the form of comment text. However, there are many features in review makes textual data ambiguous, thus causing difficulties sentiment analysis. To overcome this challenge, this research uses Information Gain feature selection method to reduce high features dimensions in sentiment ana…
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- xv, VI-2 hlm.; ilus.; tab, 29 cm
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- T1554202024
PERBANDINGAN METODE PENINGKATAN KUALITAS CITRA MEDIS HISTOPATOLOGI UNTUK KLAS…
This study aims to enhance the dataset of lung cancer histopathological images. There is already exist CNN architecture for lung cancer classification, but only have accuracy of 71%. The dataset of lung cancer histopathological images suffers from poor color constancy and contrast due to variability in image capture, management, analysis, and data collection processes. To address these issues, …
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- xiv, 55 hlm.; ilus.; tab, 29 cm
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- T1556462024
PENCARIAN RUTE TERDEKAT PADA PERMAINAN DENGAN HALANGAN DINAMIS MENGGUNAKAN ME…
Pathfinding in games presents a complex challenge, particularly when the game environment is dynamic and unpredictable. The D* Lite algorithm is an advanced solution that offers advantages in efficiently finding optimal paths in environments that frequently change. Unlike conventional pathfinding algorithms, D* Lite can quickly update previously computed paths when changes occur in the map, suc…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1567922024
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