DETEKSI SERANGAN SSL PINNING BYPASS DAN DDOS PADA JARINGAN SMARTHOME MENGGUNA…

The rapid development of the Internet of Things (IoT) has accelerated the implementation of smart home systems connected to the internet. However, this advancement also increases the risk of cyberattacks, particularly SSL Pinning Bypass, which threatens communication security, and Distributed Denial of Service (DDoS), which disrupts service availability. This study aims to detect both types of …

ANALISIS SENTIMEN PUBLIK PADA TWITTER TERHADAP IMPLEMENTASI KEBIJAKAN ROYALTI…

Penelitian ini menginvestigasi determinan perilaku impulsive buying selama acara Flash Sale di platform Tokopedia. Berlandaskan pada kerangka kerja Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), penelitian ini menguji pengaruh Hedonic Motivation dan Price Value terhadap Behavioral Intention, serta dampaknya terhadap Impulsive Buying. Pendekatan kuantitatif diterapkan dengan meng…

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…

PENERAPAN INDOBERT EMBEDDING DAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) UNTUK…

Hate speech on social media is a serious issue that can trigger discrimination and social conflict, highlighting the need for an automated classification system to identify different types of hate speech. This study aims to develop an Indonesian hate speech classification system by combining IndoBERT embeddings as text representations and Support Vector Machine (SVM) as the classification algor…

KLASIFIKASI CITRA AKSARA HIRAGANA KUZUSHIJI MENGGUNAKAN SUPPORT VECTOR MACHIN…

Kuzushiji is a cursive writing style used in various classical Japanese manuscripts. Over time, this script has become difficult for modern readers to interpret. This condition encourages the need for research on the automatic classification of characters written in this style to support the study and understanding of classical Japanese texts. This study applies the Support Vector Machine (SVM)…

ANALISIS SENTIMEN MEDIA SOSIAL X TERHADAP FILM DOKUMENTER “DIRTY VOTE” ME…

This research aims to analyze the sentiment of the documentary film "Dirty Vote" based on public comments on social media X using the Support Vector Machine (SVM) method. The movie "Dirty Vote" is a criticism of the implementation of elections and candidate pairs in Indonesia, thus triggering various reactions among the public. Public comments on social media X became a valuable source of infor…

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…

UJI KINERJA ALAT PERAJANG TIPE GESER (SLIDING BLADE) PADA BERBAGAI SUDUT POTO…

Penelitian ini bertujuan untuk mengetahui kinerja alat perajang tipe geser (sliding blade) pada berbagai sudut potong pisau dan beban tekan umbi singkong terhadap kapasitas kerja dan irisan yang dihasilkan. Penelitian dilaksanakan bulan Juni 2024 sampai dengan selesai di Sub Laboratorium Mesin Jurusan Teknologi Pertanian, Fakultas Pertanian, Universitas Sriwijaya. Metode yang digunakan peneliti…

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…

ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X TERHADAP FILM SORE: ISTRI DARI MASA…

Indonesia’s film industry is rapidly expanding with diverse genres and new titles, creating a need for fast, data-driven mapping of audience sentiment. This study maps social media X users’ sentiment toward the film “Sore: Istri dari Masa Depan,” which carries an unconventional theme, while addressing limited manual labels on short and noise tweets. Support Vector Machine (SVM) is selec…

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…

Handbook of MACHINE TOOLS Volume 3: Automation and Controls

Edition

1

ISBN/ISSN

0-471-26224-2

Collation

xx, 451 hlm., 23 cm

Series Title

HANDBOOK OF MACHINE TOOLS

Call Number

621.9 02 Wec h

Handbook of MACHINE TOOLS Volume 4: Metrological Analysis and Performance Tests

Edition

1

ISBN/ISSN

0-471-26225-0

Collation

-

Series Title

HANDBOOK OF MACHINE TOOLS

Call Number

621.9 02 Wec h

Handbook of MACHINE TOOLS Volume 2: Construction and Mathematical Analysis

Edition

1

ISBN/ISSN

0-471-26223-4

Collation

-

Series Title

HANDBOOK OF MACHINE TOOLS

Call Number

621.9 02 Wec h

Handbook of MACHINE TOOLS Volume 1: Types of Machines, Forms of Construction …

Edition

1

ISBN/ISSN

0-471-26222-6

Collation

-

Series Title

HANDBOOK OF MACHINE TOOLS

Call Number

621.9 02 Wec h

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…

KLASIFIKASI JUDUL BERITA BAHASA INDONESIA MENGGUNAKAN METODE SELEKSI FITUR CH…

News is an important source of information in society, and classification of news headlines is a challenge for organizing this information. This research aims to develop software that is able to classify Indonesian news headlines into 3 categories using the Support Vector Machine method with Chi-Square Feature Selection. The SVM method is known as an effective classification algorithm, while ch…

Bearings & Lubrication: MECHANICAL DESIGNERS' WORKBOOK

Edition

-

ISBN/ISSN

0-07-05628-2

Collation

xii, 196 p.; 30 cm.

Series Title

-

Call Number

621.8 Bea b

Standard Handbook of MACHINE DESIGN, SECOND EDITION

Edition

2

ISBN/ISSN

0-07-056958-4

Collation

xv, 102 p. ; 24 cm

Series Title

-

Call Number

621.815 Shi s

BASIC MACHINING REFERENCE HANDBOOK, Second Edition

Edition

-

ISBN/ISSN

0-8311-3120-9

Collation

viii 301 p. ; 24 cm

Series Title

-

Call Number

670.423 Mey b

High Voltage Vacuum Insulation: BASIC CONCEPTS AND TECHNOLOGICAL PRACTICE

Edition

-

ISBN/ISSN

0-12-437175-2

Collation

xxv, 568 hlm. : ilus. ; 24 cm.

Series Title

-

Call Number

621.310 42 Hig h

LATIN 2022: Theoretical Informatics 15th Latin American Symposium, Guanajuato…

This book constitutes the proceedings of the 15th Latin American Symposium on Theoretical Informatics, LATIN 2022, which took place in Guanajuato, Mexico, in November 2022. The 46 papers presented in this volume were carefully reviewed and selected from 114 submissions. They were organized in topical sections as follows: Algorithms and Data Structures; Approximation Algorithms; Cryptography…

KINEMATICS AND DYNAMICS OF MACHINERY, SECOND EDITION IN SI UNITS

Edition

-

ISBN/ISSN

978-007-131709-2

Collation

24 cm

Series Title

-

Call Number

629.28 Nor k