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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
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
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