SMART INDUSTRY: PENDEKATAN ARSITEKTUR EDGE COMPUTING BERBASIS MACHINE LEARNIN…

Kebakaran hutan merupakan bencana lingkungan dengan dampak ekologis, ekonomi, dan sosial yang signifikan secara global. Sistem deteksi konvensional berbasis visual (kamera) dan sensor asap memiliki keterbatasan dalam hal cakupan area, latensi deteksi, akurasi dalam kondisi lingkungan kompleks, dan ketergantungan pada infrastruktur komunikasi yang memadai. Penelitian ini mengusulkan pendekatan i…

EVALUASI PENDEKATAN ENSEMBLE LEARNING UNTUK ANALISIS SENTIMEN PADA ULASAN APL…

The development of online transportation applications such as Maxim has increased the need for sentiment analysis to understand user opinions from reviews on the Google Play Store. The main challenges in this analysis are language diversity, variations in writing style, and data imbalance, which affect model accuracy. This study aims to evaluate the performance of the Support Vector Machine (SV…

PERBANDINGAN ALGORITMA RANDOM FOREST, LOGISTIC REGRESSION, DAN XGBOOST DALAM …

Understanding user sentiment from e-commerce reviews is essential for platform improvement and business strategy. This study compares three machine learning algorithms—Logistic Regression, Random Forest, and XGBoost—for sentiment classification of Indonesian-language Tokopedia reviews. A dataset of 6,822 user reviews was preprocessed through tokenization, stopword removal, and TF-IDF vector…

PENERAPAN METODE MACHINE LEARNING DAN TEKNIK SMOTE UNTUK PREDIKSI DIABETES

Diabetes merupakan salah satu penyakit tidak menular yang prevalensinya terus meningkat secara global maupun nasional. Kondisi ini menimbulkan risiko komplikasi serius seperti penyakit jantung, stroke, hingga gagal ginjal apabila tidak terdeteksi sejak dini. Oleh karena itu, dibutuhkan metode prediksi berbasis data yang mampu membantu proses deteksi awal secara cepat, akurat, dan efisien. Penel…

EVALUASI USER ACCEPTANCE PLATFORM TOKOPEDIA MELALUI FRAMEWORK UTAUT3 DAN ANAL…

This study aims to evaluate user acceptance of the Tokopedia e-commerce platform in Indonesia by applying the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) framework combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis implemented in RStudio. Data were collected through an online questionnaire distributed through social networks, …

PENERAPAN K-NEAREST NEIGHBORS DAN RANDOM OVERSAMPLING PADA KLASIFIKASI KEJADI…

Before performing classification, it is important to ensure that the dataset used does not contain missing data and imbalanced data. Missing data is a condition where some information or data from the dataset is not available. Imbalanced data is a condition where the number of observations in one class in a dataset is much greater than the number of observations in other classes. The purpose of…

KNOWLEDGE DISCOVERY PADA CHURN PELANGGAN E-COMMERCE MENGGUNAKAN INTERPRETABLE…

Customer churn remains a major challenge in the e-commerce industry as it directly impacts revenue and long-term customer value. This study applies an interpretable machine learning approach to not only predict churn but also identify the key factors influencing it. The analysis uses a publicly available dataset containing customer behavior and transaction records, with data preparation steps i…

KNOWLEDGE DISCOVERY: ANALISIS SENTIMEN DAN EMOSI WHATSAPP BUSINESS DENGAN MAC…

WhatsApp Business is one of the platforms that provides direct, fast, and efficient business communication services. This research was conducted to evaluate user perceptions of WhatsApp Business thru an in-depth sentiment analysis and emotion classification approach applied to user reviews. The data used consisted of 3,000 reviews collected thru scraping techniques, which were then processed th…

ANALISIS MODEL CLUSTERING KECELAKAAN LALU LINTAS DI KOTA PALEMBANG MENGGUNAKA…

Between 20 and 50 million people suffer non-fatal injuries in road accidents every year, while more than a million of these incidents cause death. Road traffic crashes are a significant menace not only to the economy but also to public health. The numbers obtained are objective statistics not subject of personal opinion. This research aims to develop a clustering model using a machine learning …

PENERAPAN NAÏVE BAYES UNTUK KLASIFIKASI KEKASARAN PERMUKAAN BAJA S45C PADA P…

Surface roughness is one of the key quality parameters in machining that affects the performance and longevity of the produced components. This study examines the application of the Naïve Bayes method to classify or group the surface roughness of S45C steel in the CNC milling process. The Naïve Bayes method, known for its simplicity and effectiveness in solving classification problems, is use…

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…

PEMODELAN PERAMALAN TINGKAT PENGANGGURAN DI INDONESIA MENGGUNAKAN ALGORITMA M…

Unemployment is a major global issue with significant socioeconomic impacts, including reduced individual well-being, increased inequality, and weakened economic stability. For Indonesia, as the largest economy in Southeast Asia, understanding the determinants of unemployment and developing reliable forecasting methods are crucial for effective policymaking. This study proposes a two-stage hybr…

Technological and Industrial Applications Associated With Industry 4.0

This book includes chapters related to the analysis of cultural differences as a tool to enrich tacit knowledge and make processes more efficient, the factors that influence job satisfaction and the value of social capital as a competitive strategy to achieve productivity and competitiveness of organizations, in addition to research of the utmost importance to discover the facets of the diamond…

Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination

This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance t…

Immersive Technology in Smart Cities : Augmented and Virtual Reality in IoT

This book presents recent trends and enhancements in the convergence of immersive technology and smart cities. The authors discuss various domains such as medical education, construction, brain interface, interactive storytelling, edification, and journalism in relation to combining smart cities, IoT and immersive technologies. The book sets up a medium to promulgate insights and in depth under…

Federated Learning Systems

Edition

1

ISBN/ISSN

978-3-030-70604-3

Collation

xvi, 196p.: Ill

Series Title

-

Call Number

006.31 Fed

Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments

This book proposes some novel approaches for finding unmanned aerial vehicle trajectories to reach targets with unknown location in minimum time. At first, it reviews probabilistic search algorithms that have been used for dealing with the minimum time search (MTS) problem, and discusses how metaheuristics, and in particular the ant colony optimization algorithm (ACO), can help to find high-qua…

Security in Cyber-Physical Systems

The unification of symbolist and connectionist models is a major trend in AI. The key is to keep the symbolic semantics unchanged. Unfortunately, present embedding approaches cannot. The approach in this book makes the unification possible. It is indeed a new and promising approach in AI. -Bo Zhang, Director of AI Institute, Tsinghua It is indeed wonderful to see the reviving of the import…

Machine Learning for Intelligent Multimedia Analytics

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several…

Machine Learning Modeling for IoUT Networks

This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing cha…

Machine Learning for Robotics Applications

Edition

1

ISBN/ISSN

978-981-16-0598-7

Collation

xii, 168p.:Ill.

Series Title

-

Call Number

006.31 Mac

Human Activity Recognition Challenge

Edition

1

ISBN/ISSN

978-981-15-8269-1

Collation

xiv, 126p.:Ill.

Series Title

-

Call Number

006.4 Hum

Machine Learning Algorithms for Industrial Applications

Edition

1

ISBN/ISSN

978-3-030-50641-4

Collation

XVII, 315p.:Ill

Series Title

Studies of computional inteligence

Call Number

006.31 Mac

Variational Methods for Machine Learning with Applications to Deep Networks

Edition

-

ISBN/ISSN

978-3-030-70679-1

Collation

XIV, 165p.:ll.

Series Title

-

Call Number

006.31 Var

Deep Learning for Unmanned Systems

Edition

1

ISBN/ISSN

978-3-030-77939-9

Collation

VIII, 732p.:Ill

Series Title

Studies in Computational Intelligence

Call Number

629.046 Dee

A Machine Learning based Pairs Trading Investment Strategy

Edition

-

ISBN/ISSN

978-3-030-47251-1

Collation

IX, 104p.:Ill.

Series Title

SpringerBriefs in Applied Sciences and Technology

Call Number

006.31 Sar a

Machine Learning for Engineers

Edition

-

ISBN/ISSN

978-3-030-70388-2

Collation

xiii, 247p.:Ill

Series Title

-

Call Number

620.002 856 3 Mcc m

Hardware-Aware Probabilistic Machine Learning Models

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. The book first motivates extreme-edge computing …

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics

Edition

-

ISBN/ISSN

978-3-030-66288-2

Collation

VI, 315p.:Ill

Series Title

-

Call Number

006.31 Mac

Deep Learning for Cancer Diagnosis

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amount…