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KOMPARASI KINERJA MODEL NAIVE BAYES, SVM, DAN RANDOM FOREST DALAM KLASIFIKASI…
The increasing number of reviews for the Google Gemini app on Google Play Store reflects a variety of user opinions regarding the performance of this AI-based application. To identify sentiment patterns, this study conducted a comparative study of three classification algorithms: Support Vector Machine (SVM), Naive Bayes, and Random Forest, using 14,479 raw reviews collected through scraping. T…
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- xi, 29 hlm.; ilus.; tab.; 29 cm.
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- T1945642026
ANALISIS SENTIMEN PENGGUNA APLIKASI GAME ROBLOX PADA ULASAN GOOGLE PLAY STORE…
The rapid advancement of information technology has significantly boosted the digital entertainment industry, notably the online gaming platform Roblox, which boasts over 111 million daily active users globally. In Indonesia, the high number of users correlates with a vast volume of reviews on the Google Play Store, encompassing diverse opinions on gameplay experience, technical issues, and app…
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- xxii, 299 hlm.; ilus.; tab.; 29 cm.
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- T1942982026
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 …
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- xiii, 66 hlm.; ilus.; tab.; 29 cm
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- T1933952026
ANALISIS KINERJA METODE K-NEAREST NEIGHBORS UNTUK PENGEMBANGAN SISTEM OTOMASI…
The increasing volume of paper waste necessitates the development of more effective and efficient sorting systems to support recycling processes and reduce environmental impacts. Manual paper waste sorting is considered less optimal due to its time-consuming nature and susceptibility to human error. Therefore, this study aims to analyze the performance of the K-Nearest Neighbors (KNN) method in…
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- iii, 100 hlm.; ilus.; tab.; 29 cm.
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- T1915822025
PERBANDINGAN METODE SUPPORT VECTOR MACHINE DAN RANDOM FOREST DALAM KLASIFIKAS…
Accreditation is a benchmark in assessing the quality and feasibility of universities. One of the accreditation assessments in universities is the percentage of student graduation. So, the percentage of late graduation and Drop Out (DO) can affect the assessment. Therefore, there is a need for a technique in classifying student graduation time that can help provide recommendations for making po…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1571602024
ANALISIS SENTIMEN PADA ULASAN GOOGLE PLAY STORE UNTUK MENGUKUR PERSEPSI PENGG…
This study was conducted to analyse sentiment towards user reviews from the Google Play Store regarding the Gojek application. The analysis aims to measure user perceptions using a Convolutional Neural Network (CNN). This study aims to understand user views on the Gojek application. By understanding user perceptions, the information obtained can be utilized by the company's service team to impr…
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- xvii, 88 hlm.; ilus.; tab.; 29 cm.
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- T1895612025
OTOMATISASI ULASAN PENGGUNA: DETEKSI KELUHAN ACTIONABLE PADA GOJEK DI PLAY ST…
This study aims to develop an automatic complaint detection system for Gojek application reviews using Long Short-Term Memory (LSTM). The dataset used in this research consists of 225,002 user reviews obtained from the Play Store. The objective is to build a system capable of classifying user reviews into two labels. The processing was carried out using three different data-split ratios to ensu…
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- xvii, 97 hlm.; ilus.; tab.; 29 cm.
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- T1894892025
DETEKSI KOMENTAR DAN ANALISIS SENTIMEN PROMOSI JUDI ONLINE PADA YOUTUBE MENGG…
YouTube, as a highly interactive platform, has become a medium for online gambling promotions, raising legal issues under the Electronic Information and Transactions (ITE) Law and social risks, particularly for adolescents. This study aims to analyse public responses to gambling-related comments and to develop an automatic detection system using Natural Language Processing (NLP). The research f…
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- xv, 68 hlm.; ilus.; tab.; 29 cm.
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- T1894342025
PERBANDINGAN ALGORITMA SVM DAN NAIVE BAYES DALAM ANALISIS SENTIMEN TERHADAP U…
Indonesia’s rapid e-commerce growth has produced a vast volume of user reviews, yet their use for insight extraction remains limited—particularly for the Bukalapak platform. This study compares the performance of Naïve Bayes and Support Vector Machine for sentiment classification on 10,000 Bukalapak reviews. The workflow includes text preprocessing (cleaning, case folding, tokenization, st…
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- xvii, 78 hlm.; ilus.; tab.; 29 cm.
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- T1895302025
STUDI KOMPARATIF ALGORITMA KLASIFIKASI DALAM MENGANALISIS SENTIMEN APLIKASI S…
Public service applications such as SIGNAL facilitate the public in accessing information and making motor vehicle tax payments. However, the diversity of user reviews indicates the need to evaluate public perceptions through sentiment analysis. This study compares the performance of four classification algorithms Naïve Bayes, Random Forest, Decision Tree, and SVM in analyzing 36,000 user revi…
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- xv, 70 hlm.; ilus.; tab.; 29 cm.
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- T1895352025
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…
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- xv, 42 hlm.; ilus.; 29 cm
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- T1554192024
ANALISIS SENTIMEN KEMACETAN DI KOTA PALEMBANG BERDASARKAN DATA MEDIA SOSIAL F…
Sentiment analysis on traffic congestion in Palembang City was carried out using Facebook comments that represent public opinions regarding daily traffic conditions. Data were obtained through web scraping, and after undergoing preprocessing stages—such as text cleaning, tokenization, stopwords removal, stemming, and normalization—a total of 2,505 cleaned entries were prepared and transform…
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- xiii, 81 hlm.; ilus.; tab.; 29 cm.
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- T1893792025
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…
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- xvi, 95 hlm.; ilus.; tab, 29 cm
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- T1894542025
ASPECT-BASED SENTIMENT ANALYSIS DAN KNOWLEDGE EXTRACTION UNTUK EVALUASI PERSE…
The rapid growth of digital wallet usage in Indonesia has raised concerns regarding user security and account protection. This study evaluates user sentiment related to the security features of the DANA digital wallet by applying Aspect Sentiment Classification (ASC), a subtask of Aspect-Based Sentiment Analysis (ABSA). A total of 4,846 security-related reviews were collected using keyword-base…
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- xvii, 101 hlm.; ilus.; tab, 29 cm
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- T1894112025
OPTIMASI NILAI K PADA KNN MENGGUNAKAN PARTICLE SWARM OPTIMIZATION UNTUK DIAGN…
Stroke is a leading cause of disability and death worldwide, making accurate early diagnosis essential to reduce long-term impacts. This study aims to implement K-Nearest Neighbors (KNN) for Stroke diagnosis Classification and to optimize the value of K using Particle Swarm Optimization (PSO). The dataset was obtained from Kaggle, consisting of 5,110 entries and 12 demographic and clinical feat…
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- xiii, 142 hlm.; ilus.; tab, 29 cm
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- T1889862025
KLASIFIKASI KEPADATAN KENDARAAN MENGGUNAKAN ALGORITMA LOGISTIC REGRESSION DI …
Traffic congestion problems in major cities, including Palembang, require an effective and accurate vehicle density classification system. This study aims to classify vehicle density on the main roads of Palembang using the Logistic Regression algorithm. The data used was obtained from vehicle detection results, such as cars, motorcycles, and three-wheeled motorcycles, using the YOLOv8 model, w…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1798732025
ANALISIS MODEL PREDIKSI UNTUK LAYANAN BUS SEKOLAH DI JAKARTA MENGGUNAKAN PEND…
This research aims to predict the types of school buses in Jakarta using machine learning methods. Data from 2017 to 2019 includes the number of passengers, the number of schools, and bus types. Exploratory data analysis identified patterns and trends, with feature engineering generating three main variables. We tested seven machine learning models, including SVM, Logistic Regression, KNN, Gaus…
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- xi, 52 hlm.; ilus.; 29 cm
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- T1505722024
KLASIFIKASI BAHAGIA BERDASARKAN FASILITAS UMUM MENGGUNAKAN METODE DECISION TREE
Happiness for many people is pleasure, tranquility, success in obtaining what is desired, joy, or satisfaction with an event. Happiness is the opposite condition of suffering and hardship. This study aims to classify the status of happiness based on public facilities using the decision tree method using data used taken from kanggle.com. The database consists of 143 data, there are 6 predictor v…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1619692024
PENGEMBANGAN MODUL KESELAMATAN DAN KESEHATAN KERJA PEMESINAN UNTUK MAHASISWA …
The background of this research is the need for a module that discusses Occupational Safety and Health in the machining workshop. This type of research is research and development aimed at developing a course module on Occupational Safety and Health for the Mechanical Engineering Education Study Program at Sriwijaya University. This study uses the 4D development model, which consists of Define,…
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- xvii, 117 hlm.; ilus.; tab.; 29 cm
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- 06121282126034
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- T1806802025
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