Learning to Teach, SEVENTH EDITION

Edition

7

ISBN/ISSN

978-0-07-312813-9

Collation

xxiii, 584 p. : ill. ; 28 cm.

Series Title

-

Call Number

370.152 3 Are l

KLASIFIKASI KOMENTAR JUDI ONLINE MENGGUNAKAN INDOBERT

The rapid growth of social media has enabled the misuse of comment sections as a medium for promoting online gambling. The high volume of comments makes manual moderation ineffective, thus requiring an automated classification system. This study aims to develop a classification system for online gambling comments using the IndoBERT model and to evaluate its performance based on accuracy, precis…

KEMAMPUAN COMPUTATIONAL THINKING PADA MATERI BARISAN DAN DERET MENGGUNAKAN PR…

Perkembangan teknologi di era digital saat ini mengalami akselerasi yang luar biasa, memberikan dampak signifikan terhadap berbagai sektor terutama dunia pendidikan. Situasi ini mengharuskan siswa untuk memiliki sejumlah kompetensi fundamental, dengan Computational Thinking (CT) menjadi salah satu yang paling krusial. Riset ini difokuskan untuk menggambarkan bagaimana indikator-indikator CT ter…

IDENTIFIKASI DAN DETEKSI OTOMATIS TERHADAP KARIES GIGI MENGGUNAKAN CONVOLUTIO…

Deteksi karies gigi masih menjadi tantangan karena bergantung pada interpretasi visual subjektif, yang dapat menyebabkan inkonsistensi. Metode deep learning, khususnya Convoulutional Neural Network (CNN), telah menunjukkan potensi besar dalam meningkatkan akurasi diagnostik berbasis radiografi. Tujuan: Untuk meninjau literatur terkini mengenai aplikasi deep learning dalam deteksi karies gigi ot…

IMAGE CAPTIONING BERBASIS DEEP LEARNING PADA CITRA JANTUNG ANAK

Diagnosis of congenital heart disease in children, namely Atrial Septal Defect (ASD), Atrioventricular Septal Defect (AVSD), and Ventricular Septal Defect (VSD), is hindered by the limited availability of cardiologists in interpreting echocardiography images, necessitating an automated system based on artificial intelligence. This study implements and evaluates a deep learning-based image capti…

GENERATIVE AI BERBASIS DEEP LEARNING PADA ANALISIS CITRA ULTRASONOGRAFI

Ultrasound (USG) image analysis for detecting Congenital Heart Disease (CHD), such as Atrial Septal Defect (ASD), Ventricular Septal Defect (VSD), and Atrioventricular Septal Defect (AVSD), is still limited by the scarcity of clinical datasets. This study evaluates three Generative Adversarial Network (GAN) architectures, namely Deep Convolutional GAN (DCGAN), Wasserstein GAN with Gradient Pena…

DEVELOPING A LOCAL CULTURE-BASED AUDIOVISUAL MEDIA IN EFL TEACHING TO PROMOTE…

In the era of globalization, integrating local culture into English language teaching is important to promote students’ cultural awareness while improving their language skills. This study aimed to develop a local culture-based audiovisual media in EFL teaching for seventh-grade students. The product was designed as supplementary learning media integrating Palembang local culture into English…

PENGEMBANGAN ARSITEKTUR 3D U-NET DENGAN RESIDUAL NETWORK DAN INCEPTIONV3 UNTU…

A lung cancer diagnosis can be performed using 3D CT scan images. Cancerous areas are identified through a segmentation process. This study develops a 3D U-Net with Residual Network (ResNet) and InceptionV3 to segment lung cancer in 3D CT scans. The 3D U-Net architecture was applied because it can exploit volumetric spatial information in 3D CT scan images. ResNet is applied to the encoder sect…

PENERAPAN PEMBELAJARAN DENGAN PENDEKATAN DEEP LEARNING PADA MATERI SISTEM PER…

This study aims to describe the mathematics learning process and analyze the learning outcomes of Two Variable Linear Equation Systems (SPLDV) material using a Deep Learning approach. The research subjects were 23 ninth-grade students at SMP Negeri 58 Palembang. This study used a descriptive method with data collection through observation and written tests consisting of three contextual questio…

ANALISIS KOMPARATIF MACHINE LEARNING DAN EXPLAINABLE ARTIFICIAL INTELLIGENCE …

Traffic accidents are a road safety issue that can result in fatalities. This study aims to compare the performance of machine learning models namely, Random Forest, XGBoost and LightGBM and to explain the prediction results of the best model using the Explainable Artificial Intelligence (XAI) approach, with SHapley Additive exPlanations (SHAP) employed as the interpretation method. The data us…

EVALUASI METODE UNSUPERVISED LEARNING DALAM PENGELOMPOKAN DATA KECELAKAAN LAL…

Traffic accidents are one of the transportation issues that require distribution analysis to identify areas with different accident characteristics. This study aims to compare the K-Means, DBSCAN, and Hierarchical Clustering methods in clustering traffic accident data based on geographical location and accident severity. The dataset used is derived from traffic accident data in the United Kingd…

PENINGKATAN KINERJA KLASIFIKASI GANGGUAN JANTUNG PADA SINYAL ELEKTROKARDIOGRA…

Electrocardiogram (ECG) signals represent the electrical activity of the heart and are used to record disorders such as arrhythmia and heart failure. Due to their non-stationary nature, ECG signals require a time-frequency domain approach to capture their dynamic characteristics more accurately. This study aims to develop and evaluate machine learning-based heart disorder classification models …

MULTI OBJECT TRACKING PADA CITRA JANTUNG ANAK MENGGUNAKAN DEEP LEARNING

Congenital heart disease (CHD) in children, such as atrial septal defects (ASD), ventricular septal defects (VSD), and atrioventricular septal defects (AVSD), requires accurate diagnosis through dynamic analysis. However, existing methods for analyzing echocardiographic video are often limited to frame-by-frame analysis and are not yet capable of consistently tracking temporal changes. This stu…

IMAGE CAPTIONING PADA CITRA SERVIKS UNTUK LAPORAN MEDIS BERBASIS MODEL DEEP L…

Image captioning is a task in the fields of computer vision (CV) and natural language processing (NLP) that aims to generate textual descriptions from an image. In this study, various combinations of encoder–decoder architectures were designed and evaluated to improve captioning performance on cervical medical images from the International Agency for Research on Cancer (IARC). The encoders us…

PENGARUH PENERAPAN MODEL EXPERIENTIAL LEARNING TERHADAP MOTIVASI BELAJAR PESE…

This study aims to determine the effect of the application of the Experiential Learning model on students' learning motivation in the Pancasila Education subject at SMAN 2 Indralaya Utara. This study uses a quantitative approach with an experimental method. Data collection was carried out through documentation, observation, and questionnaire techniques. The study population included all 93 stud…

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…

SISTEM PATH PLANNING PADA AUTONOMOUS ELECTRIC VEHICLE BERBASIS HYBRID IMPROVE…

Teknologi kendaraan otonom memerlukan sistem navigasi yang andal untuk menghadapi lingkungan dinamis dan kondisi jalan yang kompleks. Tantangan utama meliputi perencanaan rute optimal, deteksi objek secara real-time, serta adaptasi terhadap rintangan. Penelitian ini mengusulkan integrasi Improved Ant Colony Optimization (IACO) dan YOLOv8 sebagai solusi terpadu untuk perencanaan rute dan deteksi…

PENGEMBANGAN E-LKPD BERBASIS DISCOVERY LEARNING MATERI FILTRASI BERBANTUAN ME…

Penelitian ini bertujuan untuk menghasilkan produk berupa e-LKPD berbasis discovery learning pada materi filtrasi berbantuan membran nanofiber guna melatih keterampilan berpikir kreatif peserta didik SMP secara valid, praktis, dan efektif. Penelitian ini menggunakan metode penelitian pengembangan dengan model ADDIE dan melibatkan 217 peserta didik kelas VII dari sepuluh kelas (VIIA–VIIJ) di S…

KEMAMPUAN MEMPREDIKSI POLA KONFIGURASI OBJEK SISWA KELAS VIII MTS AISYIYAH 1 …

This research is motivated by the importance of predicting skills as a fundamental aspect of mathematical inference, enabling students to project beyond observed data. The study aims to describe the numerical predicting ability of eighthgrade students at MTs Aisyiyah 1 Palembang on object configuration patterns using the Discovery Learning model assisted by GeoGebra Web. A descriptive qualitati…

PENGARUH OPERASI STERIL TERHADAP POLA MAKAN KUCING DAN SUMBANGANNYA PADA PEMB…

Sterilization surgery is one alternative for controlling the cat population and improving the quality of life for cats. However, understanding and managing changes in eating patterns after sterilization is an important part of the commitment to maintaining healthy cats in the long term. This study aims to analyze the effect of sterilization surgery on cats' eating patterns and to develop a Stud…

PERSEPSI SISWA KELAS VIII TERHADAP PEMBELAJARAN MATERI TEOREMA PYTHAGORAS MEN…

Positive perception can foster students' enthusiasm and interest in learning mathematics. However, negative perception can reduce enthusiasm, interest in learning, and reduce students' focus in learning mathematics. Therefore, this study aims to determine the perception of grade VIII students towards learning the Pythagorean theorem material using the problem based learning method assisted by G…

HUBUNGAN KEPERCAYAAN DIRI DAN KEMANDIRIAN BELAJAR SISWA SMP NEGERI 8 PALEMBANG

The purpose of this study was to determine and describe whether there is a correlation between self-confidence and self-regulated learning at SMP Negeri 8 Palembang. This study uses quantitative methods of correlational techniques. This study used data collection techniques in the form of a questionnaire regarding self-confidence and self-regulated learning with a total of 30 statement items ea…

INVESTIGATING BOREDOM AND ANXIETY IN LEARNING ENGLISH FACED BY NON-ENGLISH MA…

Language is a means of communication, which is essential to human existence. Learning a language produces a range of feelings with both positive and negative implications. These feelings have a crucial role in the acquisition and success of second languages (L2). In many languages, boredom is described as a person-environment interaction between an unstimulating or restrictive circumstance and …

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…

INVESTIGATING THE IMPLEMENTATION OF MULTIMODAL LEARNING IN ENGLISH LANGUAGE L…

The aim of this research was to find out how the multimodal learning in the English learning process implemented by an English teacher of an inclusive junior high school. The participants for this research were 3 English teachers. This research applied qualitative descriptive analysis technique and the data were collected by using a structured interview. The findings showed that there were thre…

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…