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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
KLASIFIKASI KUALITAS BIJI KOPI MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NET…
Kopi merupakan salah satu komoditas unggulan Indonesia dengan nilai ekonomi yang tinggi. Penentuan kualitas biji kopi secara konvensional masih dilakukan secara manual oleh tenaga ahli, yang memerlukan waktu cukup lama dan berpotensi menimbulkan subjektivitas. Penelitian ini bertujuan untuk mengklasifikasikan kualitas biji kopi menggunakan algoritma Convolutional Neural Network (CNN) dengan ars…
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- xvi, 125 hlm.; ilus.; tab, 29 cm
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- T1892972025
PERBANDINGAN METODE AUTOMATIC CHEN DAN METODE AUTOMATIC LEE PADA FUZZY TIME S…
The farmer exchange rate is a comparison of the price index received and the price index paid by farmers. Forecasting the ever-changing farmer exchange rate is a reference for making a forecasting program. Many methods can be used to forecast the population, one of which is the Fuzzy Time Series method. In this study, a comparison was made between two methods, namely the Chen method and the Lee…
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- x, 73 hlm.; ilus.; 29 cm
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- T1520062024
PENGAMANAN PESAN TEKS MENGGUNAKAN METODE KRIPTOGRAFI MODIFIED TWOFISH
A message is information that is conveyed from one party to another. Messages must also have security that is useful for maintaining confidentiality and avoiding other parties from manipulating the contents of the message. To answer the message security problem, we can use cryptography techniques. This research uses the Twofish algorithm as one of the cryptographic techniques to secure messages…
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- xiii, 126 hlm.; ilus.; 29 cm
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- T1520812024
EXTRACTIVE SUMMARIZATION BERITA BERBAHASA INDONESIA MENGGUNAKAN LSTM
In the internet era, the vast amount of available information makes it challenging for readers to find relevant news and requires time to read entire documents to extract desired information. Therefore, summaries are needed to help readers extract and represent the most crucial information from news articles efficiently and effectively. This research focuses on developing an Extractive Summariz…
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- xii, VI-1 hlm.; ilus.; tab, 29 cm
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- T1563432024
SISTEM REKOMENDASI JURUSAN KULIAH SISWA SMA BERDASARKAN NILAI RAPOR DENGAN AL…
The determination of study programs for college is an essential for high school students who choose to pursue their studies. The aim of this research is to develop a web application-based college major recommendation system. This research applies a system design and development methodology using the Waterfall model approach. The data used is primary data which contains student report card score…
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- xiv, IV-2 hlm.; ilus.; tab, 29 cm
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- T1563102024
KLASIFIKASI EMOSI MANUSIA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK PADA DATAS…
Advances in signal processing technology and machine learning have created opportunities to leverage electroencephalogram (EEG) signals for more advanced human emotion recognition. This study aims to develop a human emotion classification model based on a Convolutional Neural Network (CNN) using the SEED-IV dataset, focusing on four emotion classes: happy, sad, fear, and neutral. The data consi…
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- xiii, 98 hlm.; ilus.; tab, 29 cm
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- T1888242025
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