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IMPLEMENTASI ALGORITMA GREEDY PADA GAME FIFA 23 UNTUK PEMILIHAN TAKTIK DAN SU…
This study explores the implementation of the Greedy algorithm in FIFA 23, particularly within the Coach Career mode, to determine the most effective tactics and player formations. The Greedy algorithm is chosen for its ability to make fast, locally optimal decisions without considering long term consequences. The developed system evaluates various tactical and formation combinations and select…
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- xxii, 549 hlm.; ilus.; tab.; 29 cm.
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- T1825682025
KLASIFIKASI CITRA JENIS BUAH DAN SAYURAN MENGGUNAKAN ALGORITMA YOLOV11
Automatic image classification of fruits and vegetables plays a crucial role in enhancing efficiency in the agricultural and retail sectors, yet it faces challenges due to visual complexities such as intra-class variation and inter-class similarity. This research aims to implement and evaluate the effectiveness of the You Only Look Once version 11 (YOLOv11) algorithm, specifically the YOLOv11s-…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1830452025
KLASIFIKASI TEKS PEMIKIRAN BUNUH DIRI MENGGUNAKAN BIDIRECTIONAL LONG SHORT TE…
Social media has emerged as a new platform for individuals to express their thoughts and emotions through various posts. Among these expressions, suicidal ideation is occasionally found, which requires immediate responses. This study focuses on the text classification that containing suicidal ideation. The method used in this research is the Bidirectional Long Short-Term Memory (Bi-LSTM) as the…
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- xvii, 64 hlm.; ilus.; tab.; 29 cm.
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- T1823782025
PENERAPAN METODE FUZZY TIME SERIES LEE YANG DIOPTIMASI DENGAN PARTICLE SWARM …
Currency exchange rate fluctuations have a significant impact on a country's economic stability, affecting prices, interest rates, production, and competitiveness. Factors such as global inflation, interest rates, and international political conditions further increase uncertainty. Therefore, an accurate exchange rate prediction system is needed to aid decision-making. One method that can be us…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1823822025
PEMBUATAN ADD-ON BLENDER UNTUK KONVERSI GAMBAR MENJADI MODEL 3 DIMENSI BERBAS…
Penelitian ini bertujuan untuk mengembangkan add-on Blender bernama Voxelize yang dapat secara otomatis mengonversi gambar 2D menjadi model 3D berbasis voxel. Pengembangan dilakukan menggunakan metode Multimedia Development Life Cycle (MDLC) yang meliputi tahap concept, design, material collecting, assembly, dan testing. Add-on ini membaca data piksel gambar, membentuk mask objek menggunakan th…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1821882025
PENYELESAIAN SLIDING PUZZLE BERBASIS GAMBAR OTOMATIS DENGAN ALGORITMA A*
Sliding Puzzle merupakan salah satu jenis puzzle yang sering ditemukan di kehidupan sehari-hari dan termasuk dalam media gambar atau visual yang dapat meningkatkan daya ingat anak sejak dini. Untuk mendukung perkembangan teknologi ini, penelitian ini bertujuan untuk mengembangkan sistem penyelesaian Image Sliding Puzzle secara otomatis. Penelitian akan dilakukan menggunakan 360 data yang dipero…
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- xvii, 117 hlm.; ilus.; tab.; 29 cm.
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- T1821532025
OPTIMASI FUZZY TSUKAMOTO DALAM MENENTUKAN PREDIKSI HASIL TINGKAT RISIKO PENYA…
Heart disease is a common health problem. If not treated promptly, heart disease can have various impacts on a person's health, even causing death. To be able to prevent heart disease early, a method is needed that can determine whether a person is at risk of heart disease or not. This study can provide information about the risk of heart disease by determining predictions using the Fuzzy Tsuka…
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- xvii, 64 hlm.; ilus.; tab.; 29 cm.
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- T1822052025
IMPLEMENTASI FUZZY TSUKAMOTO UNTUK MENENTUKAN SKOR PEMAIN DALAM PERMAINAN KUI…
This study aims to develop a scoring system in an educational image based quiz game called “GuezzMe” by implementing the Fuzzy Tsukamoto algorithm. The system is designed to provide a fair and representative evaluation based on several parameters, including completion time, number of hints used, and remaining lives. The development method used is the Rational Unified Process (RUP), which in…
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- xxi, 358 hlm.; ilus.; tab.; 29 cm.
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- T1821772025
IMPLEMENTASI REINFORCEMENT LEARNING PADA AGEN PENGHINDAR HALANGAN OTOMATIS DA…
With technological advancements, the application of Artificial Intelligence (AI) has been widely adopted across various industries, including the gaming industry. In games, AI can be used to procedurally generate content, analyze user behavior, and develop AI agents. This study aims to develop and evaluate an AI agent capable of independent learning and adaptation in an endless runner game envi…
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- xv, 59 hlm.; ilus.; tab, 29 cm
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- T1817132025
KLASIFIKASI SERANGAN JANTUNG MENGGUNAKAN METODE NAIVE BAYES
Heart disease is one of the diseases that causes many deaths, both in developed and developing countries. The high mortality rate due to heart disease is attributed to the lack of attention in society towards healthy eating and the absence of periodic health check-ups. Heart disease occurs when the heart's performance deviates from normal or experiences abnormalities. Several causes of heart di…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1595832024
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
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