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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
OPTIMASI RANDOM FOREST MENGGUNAKAN ALGORITMA GENETIKA PADA KLASIFIKASI KUALIT…
The air quality in a region significantly impacts the health of its residents. The Indonesian government has established the Air Quality Index (AQI) as a parameter to assess air quality and its effects on the health of individuals exposed to the air for several hours to several days. Several studies have found that machine learning methods, particularly the Random Forest algorithm, can be used …
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- xiv, 70 hlm.; ilus.; 29 cm
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- T1460172024
NAMED ENTITY RECOGNITION (NER) PADA TEKS BERBAHASA INDONESIA DENGAN FINE-TUNI…
Pengolahan dokumen tekstual sering kali membutuhkan identifikasi informasi penting seperti nama orang, tempat, dan lembaga, namun proses manual memakan waktu dan kurang efisien. Named Entity Recognition (NER) menjadi solusi otomatis untuk tugas ini, tetapi penerapannya dalam bahasa Indonesia menghadapi tantangan seperti variasi dialek dan struktur linguistik yang kompleks. Penelitian ini menggu…
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- xvi, 107 hlm.; ilus.; 29 cm
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- T1619942025
SISTEM CHATBOT INFORMASI WISATA DI KOTA PALEMBANG MENGGUNAKAN MODEL LONG SHOR…
The rapid development of information technology has led to various innovations that simplify human activities, including the search for information through intelligent search engines such as Google, Bing, and Yahoo. However, the abundance of information available on the internet, especially related to tourism, often makes it difficult for users to find accurate and reliable information. Therefo…
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- xv, 42 hlm.; ilus.; 29 cm
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- T1620032024
OPTIMASI ALGORITMA SUPPORT VECTOR MACHINE (SVM) DENGAN PARTICLE SWARM OPTIMIZ…
X (Twitter), with 237.8 million daily active users mostly aged 18 to 29, has become one of the largest and most influential communication platforms in the world. However, despite its potential as a tool for information sharing and interaction, X (Twitter) also presents major challenges in terms of online behavior. One of the main problems that has emerged is the rise of hate speech, which can d…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1621972024
KLASIFIKASI GENRE MUSIK MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK PADA DATASET…
As music genres diversify and online music libraries grow, the need for automated, accurate genre classification has become essential for efficient music organization and recommendation. In this research, we developed a music genre classifier using a custom Convolutional Neural Network (CNN) trained on mel-spectrogram images derived from the GTZAN dataset. The GTZAN dataset is a widely used ben…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1619952024
ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN APLIKASI DANA DI GOOGLE PLAY STO…
DANA is an Indonesian financial technology company that provides infrastructure to support digital wallets in the modern era. With the DANA app, users can store money and make payments without using cash or cards, both for online and offline transactions, with speed, convenience, and guaranteed security. Although offering various conveniences, the DANA app still receives a variety of reviews fr…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1620222024
PEMBANGKITAN PARAFRASA MENGGUNAKAN METODE TRANSFORMER
Paraphrase generation is a part of text generation or Natural Language Generation (NLG) that aims to create paraphrased sentences with a different words or structure from the input sentence without altering its original meaning. This research builds a paraphrase generation system using the Transformer method. The results of the study indicate that the paraphrase generation model was successfull…
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- xviii, 111 hlm.; ilus.; 29 cm
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- T1620062024
DETEKSI OBJEK LIGHTWEIGHT LOW IMAGE MENGGUNAKAN ARSTITEKTUR YOLOv5.
Object detection is the process of identifying and localizing a specific object in an image or video that aims to recognize the presence and position of the object specifically. This technology has various applications in daily life, such as face detection to open smartphones. However, a major challenge in object detection is the camera's sensitivity to light intensity. In low lighting conditio…
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- xii, 133 hlm.; ilus.; 29 cm
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- T1619852024
KLASIFIKASI EMOSI MULTI-LABEL PADA TEKS BERBAHASA INDONESIA DENGAN FINE-TUNIN…
The rapid growth of social media interactions in Indonesia has generated a massive volume of text data containing diverse emotional expressions. The linguistic complexity and contextual richness of the Indonesian language make emotion identification and classification a challenging task. To address this issue, this study develops a multi-label emotion classification system by applying fine-tuni…
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- xiv, 111 hlm.; ilus.; tab.; 29 cm.
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- T1855742025
ANALISIS KINERJA MODEL KEYPHRASE GENERATION BERBASIS PARADIGMA ONE2SET PADA A…
The rapid growth of digital content makes online news management increasingly challenging, as vast document streams demand compact representations of core information. Keyphrases provide concise lexical surrogates for main topics and support indexing, retrieval, and summarization, yet limited annotations motivate automatic systems that can predict both present and absent keyphrases. This study …
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- xviii, 187 hlm.; ilus.; tab.; 29 cm.
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- T1855472025
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