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PENGEMBANGAN ALAT DETEKSI API PADA KEBAKARAN BERBASIS KAMERA DAN SENSOR GPS S…
Fires are unexpected events that often occur in daily life, causing significant threats and losses to the public. Early fire detection plays a crucial role in disaster mitigation and environmental protection efforts, especially in areas prone to fire incidents such as forests and open lands. Delays in detecting the presence of fire can lead to wider and harder-to-control spread. Therefore, a sy…
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- xiii, 53 hlm.; ilus.; tab.; 29 cm.
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- T1840572025
DETEKSI ANOMALI PENDARATAN PESAWAT DI BANDARA SULTAN SYARIF KASIM II MENGGUNA…
Accidents in commercial aviation in Indonesia have increased to 30% of total transport users by 2023. One important factor to reduce the risk of accidents and financial losses is compliance with landing procedures. The main objective of this analysis is to raise awareness of the importance of complying with these rules to minimise the risk of accidents and losses. Clustering techniques were app…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1597212024
PERINGKASAN TEKS BERITA DALAM BAHASA INDONESIA SECARA ABSTRAKTIF MENGGUNAKAN …
News is a form of information published to the public, allowing for a better understanding of the world around them. The advancement of internet technology has significantly increased the growth of Indonesian-language news sites and created a surge in information availability. Reading the entire news article takes a lot of time and makes it difficult to receive all the information quickly and a…
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- xvi, 83 hlm.; ilus.; 29 cm
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- T1514882024
GAME TEBAK NAMA GAMBAR BAHASA INGGRIS MENGGUNAKAN LINEAR CONGRUENT METHOD DAN…
Teknologi seluler dan komputer telah menjadikan permainan digital sebagai alat hiburan yang menyenangkan dan alat bantu pembelajaran yang efektif, terutama dalam merancang dan mengembangkan video game pendidikan. Pengintegrasian konten pendidikan atau prinsip pembelajaran ke dalam permainan bertujuan untuk melibatkan siswa dalam pembelajaran. Permainan yang diusulkan yaitu permainan tebak gamba…
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- xvii, 82 hlm.; ilus.; 29 cm
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- T1596862024
PERBANDINGAN PERFORMA APLIKASI E-COMMERCE DALAM LINGKUNGAN KONTAINER DAN LING…
A good-performing e-commerce application system is expected to handle user requests quickly and reliably, especially during traffic spikes. As the number of users increases, the system requires a robust architecture to maintain efficiency and service stability. Docker is a kontainer-based platform designed to run applications in isolation, offering improved performance compared to non-kontainer…
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- xxi, 358 hlm.; ilus.; 29 cm
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- T1827212025
ANSWER GENERATION MENGGUNAKAN MODEL T5 BERDASARKAN DATA TRANSKRIP VIDEO YOUTU…
Digital learning is rapidly evolving with the integration of technologies such as YouTube as a primary source of educational content. However, a major challenge remains in how learners can efficiently retrieve answers to specific questions from video transcripts. This study aims to design a question-answering system based on the T5 (Text-to-Text Transfer Transformer) model with input derived fr…
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- xxiii, 443 hlm.; ilus.; tab.; 29 cm.
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- T1825542025
PERBANDINGAN KINERJA APACHE THRIFT DAN GRPC DALAM PEMBACAAN KATALOG E-COMMERCE
The growth of modern e-commerce systems demands high efficiency in inter-service communication, especially within microservices architectures that require fast and reliable data exchange. One of the main challenges is selecting a communication protocol capable of handling product catalog reads under high access loads. This study compares two popular RPC protocols—gRPC and Apache Thrift—in t…
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- xxi, 358 hlm.; ilus.; tab.; 29 cm.
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- T1831082025
KLASIFIKASI SPAM PADA EMAIL BERBAHASA INDONESIA MENGGUNAKAN FASTTEXT DAN BERN…
Indonesia ranks sixth globally in terms of the number of spam senders. Numerous studies have been conducted on spam detection and filtering, with Bayesian algorithms being among the most commonly used approaches. This study aims to classify Indonesian-language email messages into spam and non-spam categories. A secondary dataset consisting of 2,604 messages was used, comprising 1,362 spam messa…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1827392025
ANALISIS SENTIMEN ULASAN APLIKASI MYXL PADA GOOGLE PLAY STORE MENGGUNAKAN NAI…
The growth of internet users in Indonesia, reaching 221 million in 2024, has significantly impacted the digital sector, including operator service applications such as myXL. This application facilitates user access to telecommunication services, yet discrepancies between user ratings and comments are often found. Therefore, sentiment analysis is needed to more accurately evaluate user satisfact…
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- xiii, 104 hlm.; ilus.; tab.; 29 cm.
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- T1826762025
TANDA TANGAN DIGITAL MENGGUNAKAN ALGORITMA RSA DAN SHA-512 PADA DOKUMEN DIGITAL
The development of digital technology has transformed document formats from printed to digital forms. Despite providing convenience, digital documents are vulnerable to manipulation and forgery, thus requiring mechanisms to maintain document authenticity and integrity. Digital signatures represent one method that can be used to preserve authenticity in digital documents. This research implement…
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- xvii, 117 hlm.; ilus.; tab.; 29 cm.
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- T1826582025
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
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