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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
PENGENALAN WAJAH PADA CITRA RESOLUSI RENDAH MENGGUNAKAN ARCFACE DAN GFPGAN
Facial recognition, as a result of the integration of artificial intelligence and computer technology, continues to develop and has the potential for widespread application, but most existing methods are trained on high-resolution images in controlled environments. In real-world conditions, limitations in camera distance, device quality, and environmental conditions make it difficult to obtain …
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- xviii, 166 hlm.; ilus.; tab, 29 cm
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- T1892862025
KLASIFIKASI FRAKTUR TULANG PADA CITRA RONTGEN MENGGUNAKAN METODE CANNY EDGE D…
Fractures in bones are a common occurrence in the medical field. Accidents are the leading cause of such injuries in Indonesia, particularly among children and males. Currently, fracture identification through X-ray images is performed using conventional methods that rely on visual analysis by doctors, which are often inaccurate. This study proposes the use of Convolutional Neural Network (CNN)…
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- xiv, VI-2 hlm.; ilus.; tab, 29 cm
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- T1559092024
PERAMALAN NILAI IMPOR MIGAS DI INDONESIA MENGGUNAKAN METODE FUZZY TIME SERIES…
This research aims to improve the accuracy of forecasting the value of oil and gas imports in Indonesia using the Fuzzy Time Series Markov Chain (FTSMC) method optimized with the Particle Swarm Optimization (PSO) algorithm. The FTSMC method is applied to analyze historical data of oil and gas imports and make predictions, while PSO is used to optimize model parameters. The results showed that t…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1582272024
ANALISIS SENTIMEN APLIKASI SATU SEHAT MENGGUNAKAN METODE NAIVE BAYES DAN PART…
Satu Sehat aplikasi yang bertujuan untuk memonitoring kesehatan masyarakat. Namun, ketika aplikasi satu sehat di luncurkan ke masyarakat telah menimbulkan pro dan kontra di kalangan masyarakat mengenai aplikasi ini. Penelitian ini bertujuan untuk menganalisis opini masyarakat mengenai aplikasi satu sehat pada google play store. Metode yang digunakan dalam penelitian ini adalah Naïve Bayes Clas…
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- xv, 50 hlm.; ilus.; 29 cm
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- T1581382024
OPTIMASI ALGORITMA NAIVE BAYES DENGAN PARTICLE SWARM OPTIMIZATION UNTUK MENIN…
Water quality is a fundamental aspect of life, particularly in regions that rely on rivers as the primary source of raw water. However, anthropogenic activities such as industrial, agricultural, and domestic processes have contributed to increasing water pollution, while the demand for clean water continues to rise in line with population growth. This study aims to develop a water quality class…
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- xi, VI-2 hlm.; ilus.; tab.; 29 cm
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- T1840502025
KLASIFIKASI JENIS GANGGUAN TIDUR MENGGUNAKAN METODE LONG SHORT TERM MEMORY (L…
Sleep quality plays a critical role in maintaining physical, mental, and emotional wellbeing. Early detection of sleep disorders such as insomnia and sleep apnea is essential for enabling more effective clinical interventions. This study investigates the optimization of sleep disorder classification using Long Short-Term Memory (LSTM) networks based on time-series data incorporating 13 physiolo…
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- xxi, V-2 hlm.; ilus.; tab.; 29 cm
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- T1840202025
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
Computer Science, Information & General Works 
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Literature 
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