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ANALISIS PENGGUNAAN EFEK VISUAL PADA PEMROGRAMAN GAME 2D TERHADAP TINGKAT KES…
2D game is a type of video game that takes place in a two-dimensional environment, which means that it is limited to two main axes, the X-axis and the Y-axis. In 2D games, the graphics and objects in the game are usually displayed in two dimensions without any 3D effects, so they appear flat on the screen. With the gaming industry experiencing rapid development, 2D games remain a popular choice…
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- xiii, 95 hlm.; ilus.; 29 cm
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- T1503922024
PREDIKSI PENJUALAN MOBIL TOYOTA BERBASIS RECURRENT NEURAL NETWORK DENGAN ARSI…
Prediction is a process of estimating events that will occur in the future. In this research, software will be developed to predict Toyota car sales using the Long Short-Term Memory (LSTM) method, which is an improvement of the Recurrent Neural Network (RNN) method, to address the vanishing gradient problem when processing long-term sequential data. The data used in this study amounts to 149 da…
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- xvi, 153 hlm.; ilus.; 29 cm
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- T1509742024
KLASIFIKASI PENYAKIT MATA PADA CITRA RETINA MENGGUNAKAN CONVOLUTIONAL NEURAL …
Eye diseases can be detected by examining the retina of the eye. Therefore, this research develops a system using Convolutional Neural Network (CNN) and Gradient-Weighted Class Activation Map (Grad-CAM) methods that can help diagnose eye diseases based on retinal images. The CNN method is used to classify whether there is a disease or not, so that the system can diagnose the disease suffered by…
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- xii, 117 hlm.; ilus.; 29 cm
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- T1510062024
KLASIFIKASI CITRA MRI TUMOR OTAK MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS
Brain tumor classification aims to identify abnormal and normal cell growth in brain tissue. Magnetic Resonance Imaging (MRI) is used because it can produce high-resolution images without ionizing radiation, but the classification process, which is still performed manually by radiologists, is time-consuming and prone to error. To address this issue, this study applied Convolutional Neural Netwo…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1867342025
ANALISIS SENTIMEN PADA MEDIA SOSIAL TWITTER TERHADAP PENGGUNAAN KENDARAAN LIS…
Penggunaan kendaraan listrik semakin meningkat di seluruh dunia sebagai solusi mengurangi emisi karbon dan ketergantungan pada bahan bakar fosil. Namun, adopsi teknologi ini menghadapi berbagai tantangan, termasuk penerimaan dari masyarakat. Melihat banyaknya opini yang ada di Twitter, penting untuk melakukan klasifikasi sentimen untuk memudahkan identifikasi opini terhadap kendaraan listrik. P…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1592022024
PENGENALAN KYOUIKU KANJI GRADE 1 DENGAN MENERAPKAN METODE MOBILENET V2 BERBAS…
Character recognition has become a popular research topic in the field of pattern recognition and machine learning, including handwriting recognition, specifically kanji handwriting. This study performs handwriting recognition of kyouiku kanji grade 1, which is the kanji required to be learnt by grade 1 elementary school students in Japan. This research uses ETL-9B dataset from Electrotechnical…
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- xi, 61 hlm.; ilus.; 29 cm
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- T1512352024
SISTEM DETEKSI OBJEK UNTUK PENYANDANG TUNANETRA SECARA REAL-TIME MENGGUNAKAN …
Visually impaired individuals facing obstacles while moving, especially on sidewalks, may experience challenges in their communication and interaction with their surroundings. Despite the frequent use of external aids such as human assistance, trained guide dogs, and canses, limitations in availability and dependence on such assistance pose constraints. This research develops a mobile object de…
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- xiv, 100 hlm.; ilus.; 29 cm
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- T1511742024
OPTIMASI ARSITEKTUR MONOLITIK KE MICROSERVICE DENGAN EVENT-DRIVEN PADA APLIKA…
Monolithic is a classic application architecture that lacks modularity as an important factor of its development. All components of a monolithic application run in a single process. High traffic on one part of the application can cause the entire system to slow down or even fail. Then, application performance can degrade significantly as load increases. In the microservices approach, the applic…
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- xvi, VI-2 hlm.; ilus.; tab, 29 cm.
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- T1559302024
KLASIFIKASI DATA PENYAKIT DIABETES MENGGUNAKAN ALGORITMA DECISION TREE DAN PA…
The prevalence of diabetes is very high in Indonesia so diabetes classification is crucial for early diagnosis in detecting this disease. The classification of diabetes data carried out in this study used an algorithm Decision Tree C4.5. However, the algorithm decision tree has weaknesses when handling large datasets, where not all features are relevant for the classification process, which can…
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- xiii, VI-1 hlm.; ilus.; tab, 29 cm.
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- T1558672024
OPTIMASI FUZZY TIME SERIES MENGGUNAKAN ALGORITMA GENETIKA UNTUK PERAMALAN HAR…
Brent oil is one of the major types of crude oil that serves as a benchmark for global oil prices, particularly in Europe, Africa, and the Middle East. The fluctuation in oil prices has a significant impact on production costs and global economic stability, making oil price forecasting crucial. In this study, Fuzzy Time Series is used to identify historical patterns and predict future prices. C…
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- xv. L-1 hlm.; ilus.; tab, 29 cm.
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- T1557262024
KLASIFIKASI PARU-PARU NORMAL DAN PNEUMONIA PADA CITRA X-RAY MENGGUNAKAN METOD…
Pneumonia is a lung infection characterized by symptoms such as fever, shortness of breath, and bloody cough. According to data from the World Health Organization (WHO), it is reported that 740,180 children worldwide have lost their lives due to pneumonia, making it a disease that must be promptly addressed and treated. In this study, the authors developed an application to classify normal and …
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- xv, 42 hlm.; ilus.; 29 cm
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- T1604062024
OPTIMASI NILAI RENTANG FUZZY TIME SERIES CHEN HSU MENGGUNAKAN PARTICLE SWARM …
Investment is an activity that is full of risk due to price volatility, even though the things invested in are investment goods that tend to be said to be safe, such as gold, crude oil, and shares of large companies such as PT. BCA, to ensure that it does not experience losses, it is best to create a prediction or forecasting system. A prediction system using Fuzzy Time Series is useful for usi…
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- xvi, VIII-1 hlm.; ilus,; tab, 29 cm.
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- T1555332024
IMPLEMENTASI PROCEDURAL CONTENT GENERATION PADA INFINITE RUNNING GAME
Infinite running game is a game where the player character must run and survive for an unlimited time while avoiding obstacles and achieving the highest score possible. Content in games must always be innovated because it affects the player's contribution in the long term. As a solution to this problem, researchers implemented procedural content generation and genetic algorithms in game develop…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1591362024
OPTIMASI NILAI KLASTER PADA ALGORITMA K-MEANS MENGGUNAKAN ALGORITMA FIREFLY
K-Means is one of the most commonly used clustering algorithms for grouping data with similarities within a cluster. However, there are limitations in K-Means clustering, such as clustering results being initialized based on random centroid points and the number of clusters used. To improve the performance of the K-Means algorithm, the Firefly Algorithm is used for clustering optimization. The …
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- xiii, V-5 hlm.; ilus.; 29 cm
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- T1506302024
GAMIFIKASI MODEL PEMBELAJARAN MATEMATIKA MENGGUNAKAN ALGORITMA FUZZY LOGIC SU…
The learning of mathematics is perceived by students to have weaknesses in the learning methods applied by some schools in the interactions or practitioners provided. The correlation between gamification and fuzzy logic sugeno is to create a personalised and adaptive learning experience. Sugeno's fuzzy logic algorithm provides the necessary customisation to ensure decision making on player judg…
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- xvii, VI-3 hlm.; ilus.; 29 cm
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- T1498612024
PERBANDINGAN METODE DECISION TREE (C4.5) DAN K-NEAREST NEIGHBOR UNTUK KLASIFI…
Timely graduation is one of the indicators of student success in obtaining a bachelor's degree. However, in reality, students do not always complete their studies within four years due to many factors influencing the duration of their studies. Timely graduation is also one of the components used to measure the quality of higher education institutions. To address this issue, a system is needed t…
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- xiv, VI-2 hlm.; ilus.; tab.; 28 cm
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- T1494452024
KLASIFIKASI KOMENTAR BULLY PADA INSTAGRAM MENGGUNAKAN METODE LONG SHORT-TERM …
Instagram is one of the largest social media platforms globally, enabling users to share photos, videos, and stories with their followers. However, its widespread popularity has also made Instagram a breeding ground for negative behaviors such as bullying. Consequently, there is a need for a tool that can identify bullying comments on the Instagram platform. This study employs the Long Short-Te…
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- xv, V-10 hlm.; ilus.; 29 cm
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- T1504322024
KLASIFIKASI KOMENTAR BULLYING PADA YOUTUBE DENGAN METODE LONG SHORT-TERM MEMORY
YouTube is one of the most popular online video-watching platforms on the internet. Bullying on social media, including on the YouTube platform, is a serious issue that can have negative impacts on mental health and individual well-being. This research aims to address this problem by developing a comment classification model using the Long Short-Term Memory method to identify bullying comments …
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- xv, V-18 hlm.; ilus.; 29 cm
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- T1504302024
PENYESUAIAN KESULITAN OTOMATIS PADA GAME 2D SHOOTER MENGGUNAKAN FUZZY LOGIC
Difficulty adjustment in games is one of the key factors that influences player experience. A 2D shooter game that is too easy or too difficult may prevent players from receiving proper feedback due to being unable to complete the game, so difficulty adjustment is necessary. Therefore, a system is needed to automatically and dynamically adjust the game’s difficulty based on the player’s ski…
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- xvii, 125 hlm.; ilus.; tab.; 29 cm.
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- T1858142025
SISTEM REKOMENDASI TEMPAT WISATA DI INDONESIA MENGGUNAKAN METODE MATRIX FACTO…
Indonesia has various tourist destinations. The large number of tourist destinations makes people confused about choosing a suitable tourist destination. The recommendation system is a suitable way to help Indonesian people choose tourist destinations that suit their preferences. One recommendation system method is matrix factorization. This research uses a matrix factorization algorithm, namel…
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- xvi, 72 hlm.; ilus.; 29 cm
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- T1505922024
OPTIMASI SISTEM REKOMENDASI BUKU DENGAN METODE CONTENT-BASED FILTERING
Buku bukan hanya sekadar sumber pengetahuan, tetapi juga alat untuk memperdalam pemahaman tentang berbagai hal. Namun, dengan banyaknya pilihan buku yang tersedia, menemukan yang sesuai dengan minat bisa menjadi menyulitkan. Untuk mengatasi hal tersebut, penelitian ini mengusulkan bahwa sistem rekomendasi merupakan solusi yang terbukti efektif dalam mengelola beragamnya informasi serta memberik…
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- xiii, V-5 hlm.; ilus.; 29 cm
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- T1499752024
SISTEM KOREKSI EJAAN BAHASA INDONESIA PADA BERITA ONLINE MENGGUNAKAN METODE L…
When writing news articles, ease of understanding and comprehension by readers is something that must be considered by the writer. One of the crucial things in writing a work is spelling errors or what are called typos. To avoid misinterpretation by readers, an automatic spelling correction system is needed in order to detect and correct spelling errors. One of the approaches used is the Long S…
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- xiv, VI-1 hlm.; ilus.; tab, 29 cm.
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- T1551962024
PENINGKATAN KUALITAS UNTUK DETEKSI OBJEK PADA CITRA SATELIT MENGGUNAKAN METOD…
Satellite images are images or photos taken from satellites that revolve around the Earth, where the image is used in the fields of mapping, meteorology and environmental monitoring. However, there is a problem that the images produced by these satellites sometimes have low resolution and the objects in the image are not clearly visible. Therefore, to overcome these problems, an increase in res…
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- xv, VI-2 hlm.; ilus.; tab, 29 cm.
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- T1539332024
PENGELOMPOKAN KEBUTUHAN UPGRADE BANDWIDTH PADA PELANGGAN BROADBAND INTERNET M…
Insufficient bandwidth capacity is one of the main factors contributing to the decline in the quality of internet services received by customers. Internet Service Providers (ISPs) need to consider many factors before determining which customers require a bandwidth capacity upgrade. This research aims to cluster potential bandwidth upgrade needs for broadband internet customers by applying the K…
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- xv, IV-2 hlm.; ilus.; tab, 29 cm.
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- T1554282024
KLASIFIKASI UANG KULIAH TUNGGAL (UKT) DI UNIVERSITAS SRIWIJAYA MENGGUNAKAN RA…
Single Tuition Fee (UKT) system in State Universities (PTN) is a response to the diversity of students' economic conditions in covering tuition fees. This research aims to determine the UKT class of students at Sriwijaya University by using the Random Forest method. This method is an ensemble method of decision trees and was chosen because of its effectiveness in capturing patterns in data and …
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- xiv, V-6 hlm.; ilus.; 29 cm
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- T1491792024
PERBANDINGAN PERFORMA LINEAR REGRESSION DAN XGBOOST UNTUK PREDIKSI HARGA BITC…
This research aims to compare the performance of the Linear Regression model with various feature selection methods and the XGBoost model with hyperparameter tuning in predicting Bitcoin prices. The Bitcoin price prediction model is very important for traders and investors to understand price movement patterns and make better investment decisions. The data used is historical Bitcoin price data …
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- xv, 109 hlm.; ilus.; tab.; 29 cm.
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- T1844992025
KLASIFIKASI GAMBAR ANIME VULGAR MENGGUNAKAN METODE CONVOLUTION NEURAL NETWORK
Anime is very popular and highly demanded by many circles ranged from children to adults. However, not all anime is appropriate for all ages. There are some anime that contains vulgar content which can be unintentionally exposed to children. This research aims to create a classifier that can seperate anime content that contains vulgarity using the convolution neural network method. The architec…
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- xiv, 76 hlm.; ilus,; tab, 29 cm
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- T1836222025
KLASIFIKASI GANGGUAN KECEMASAN PADA PEMAIN GAME ONLINE DENGAN ALGORITMA SUPPO…
The Significant increase in prevalencegame onlineraising attention to its potential impact on mental health, particularly anxiety disorders. Early and accurate detection of anxiety symptoms among gamersgame onlineessential for timely implementation of interventions. This study used an algorithmSupport Vector MachineSVM, one of the supervised machine learning methods, to classify anxiety levels …
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- xvi, 68 hlm.; ilus,; tab, 29 cm
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- T1837032025
HEXAGONAL MAZE GENERATOR DENGAN ALGORITMA WILSON PADA PERMAINAN PUZZLE LABIRIN
The Puzzle genre in video games is one of the popular genres among video game players, one of which is a maze. Maze games are composed using various types of tiles and grids, such as triangles, squares and hexagons. Maze generation is one of the Procedural Content Generation (PCG) that can help generate mazes on a larger scale automatically. The Wilson algorithm is one of the algorithms that ca…
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- xviii, VI-2 hlm.; ilus.; tab, 29 cm.
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- T1539662024
DETEKSI TUMOR OTAK PADA CITRA DIGITAL MRI MENGGUNAKAN METODE FASTER REGION-BA…
This research evaluates the performance of several Faster R-CNN models with different hyperparameter configurations for brain tumor detection tasks. Evaluation results show that Model with a learning rate of 0.01, batch size of 4, Resnet50 backbone, and a dataset ratio of 80:20, achieved the best results. This model achieved mAP at IoU thresholds of 0.3, 0.4, and 0.5 of 0.9503, 0.9377, and 0.89…
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- xviii, VI-2 hlm.; ilus.; tab, 29 cm.
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- T1541532024
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