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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
OTOMATISASI PLAYER CHARACTER PADA PERMAINAN ULAR DIGITAL DENGAN RINTANGAN ACA…
Player character requires a user to control its movements. The automation of a player character aims to create an agent capable of replacing the user. Deep Q-Learning (DQL) is one of the reinforcement learning algorithms commonly employed for automating player characters. This study implements the automation of a player character while introducing random obstacles into the game environment. The…
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- xv, 98 hlm.; ilus.; tab.; 29 cm.
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- T1849152025
KLASIFIKASI EMOSI TEKS SINGKAT MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM)
Short text messages, such as those found on social media and messaging platforms, often reflect the emotional expressions of users. Emotion clasification in these texts has significant potential for applications such as sentiment analysis and content personalization. This study aims to develop a short text emotion clasification model using the Long Short-Term Memory (LSTM) method. The dataset u…
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- xiii, 73 hlm.; ilus.; tab, 29 cm
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- T1806512025
VEHICLE ROUTING PROBLEM WITH TIME WINDOWS DENGAN PENDEKATAN FIREFLY ALGORITHM…
The distribution of goods in the food and beverage industry often faces challenges related to vehicle capacity limitations and customer time windows. This issue can be modeled as a Vehicle Routing Problem with Time Windows (VRPTW). To obtain an efficient solution, this study proposes a hybrid approach by combining the Nearest Neighbor (NN) heuristic for initial solution construction and the Fir…
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- xiii, 95 hlm.; ilus.; tab.; 29 cm.
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- T1852892025
KLASIFIKASI SPESIES BURUNG MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Indonesia, with its high biodiversity, is home to 1,539 bird species, some of which have morphological similarities that make manual identification challenging.This research aims to develop a bird species classification model in Indonesia using a Convolutional Neural Network (CNN) with the EfficientNet-B0 architecture to improve identification accuracy and speed. The model was trained using 10 …
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- xvi, 120 hlm.; ilus.; tab.; 29 cm.
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- T1852372025
PENINGKATAN KUALITAS CITRA DENGAN METODE RETINEX UNTUK DETEKSI WAJAH PADA CIT…
Facial images captured under low-light conditions often suffer from visual degradation, including low contrast, inadequate brightness, and loss of important details, which negatively impact face detection accuracy. This study aims to enhance the quality of low-light images using the Retinex method as a preprocessing step and to evaluate its effect on the performance of the YOLOv5 face detection…
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- xvii, 71 hlm.; ilus,; tab, 29 cm
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- T1835652025
KLASIFIKASI TREN TUGAS AKHIR MAHASISWA PROGRAM STUDI TEKNIK INFORMATIKA UNIVE…
The final project is a critical component of higher education, particularly in computer science and informatics, which continues to evolve rapidly, influencing the direction of academic research. This study aims to classify the trends in final project topics among students of the Informatics Engineering Program at Universitas Sriwijaya during the 2019–2023 period using the Latent Dirichlet Al…
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- xv, 138 hlm.; ilus.; tab.; 29 cm.
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- T1845932025
KLASIFIKASI BERITA HOAX BAHASA INDONESIA MENGGUNAKAN METODE LSTM (LONG SHORT …
Hoax news poses a serious threat in the current digital environment as it harms society by disseminating false and misleading information. Detecting hoax news is essential to maintain the integrity of information, prevent the spread of misinformation, and safeguard public safety. This research adopts a classification approach to hoax news based on LSTM (Long Short-Term Memory) with the utilizat…
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- xvii, 87 hlm.; ilus.; tab.; 29 cm
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- T1431142024
KLASIFIKASI SMS MENGGUNAKAN METODE SELEKSI FITUR MUTUAL INFORMATION (MI), ALG…
Communication media such as SMS (Short Message Service) is now rarely used, but SMS is still needed because it can still be useful for users in receiving information. However, problems arise due to fraudulent messages. Thus, SMS classification becomes important by using the Synthetic Minority Oversampling Technique (SMOTE) method which can balance unbalanced data, Mutual Information (MI) which …
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- xv, 61 hlm.; ilus.; 29 cm
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- T1436552024
PREDIKSI JUMLAH PRODUKSI KERTAS A3 MENGGUNAKAN ALGORITMA PROPHET
The era of globalization has driven intense competition among businesses, forcing them to become smarter in fulfilling customer demand. One strategy adopted by companies is using machine learning to predict customer demand. This study focuses on the use of the Prophet algorithm developed by Meta or Facebook and published in 2017. The Prophet algorithm is resilient to missing data, changes over …
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- xii, 113 hlm.; ilus.; 29 cm
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- T1430272024
MODIFIKASI ALGORITMA STEMMING SASTRAWI MENGGUNAKAN RULE PRECEDENCE DAN PREFIX…
Text pre-processing is increasingly important in the era of rapidly growing digital information One of the important stages in text processing is stemming, which aims to convert words to their basic form by cutting off certain prefixes or suffixes. The Indonesian stemming algorithm that is often used is Sastrawi. To improve the accuracy and efficiency of the stemming process, this research modi…
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- xiii, 88 hlm.; ilus.; 29 cm
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- T1421442024
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