56 hasil untuk machine learning
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Artikel Jurnal
Survei Algoritma Pemrosesan Bahasa Pada Bisindo
…classify and detect movements in sign language vocabulary. Classification learning techniques such as machine learning are needed to be able to distinguish changes and various types of gestures in sign language.
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ANALISIS SENTIMEN ULASAN PENUMPANG MASKAPAI PENERBANGAN DI INDONESIA DENGAN ALGORITMA RANDOM FOREST DAN KNN
Penelitian ini mendalam pada analisis sentimen ulasan pelanggan terhadap maskapai penerbangan di Indonesia melalui NLP dan Machine Learning. Dalam prosesnya, data ulasan melibatkan serangkaian teknik, termasuk cleansing, case folding, tokenization, filtering, dan stemming, sementara sentimen…
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Artikel Jurnal
Implementation Of Text Mining And Pattern Discovery With Naive Bayes Algorithm For Classification Of Text Documents: Implementasi Text Mining Dan Pattern Discovery Dengan Algoritma Naive Bayes Untuk Klasifikasi Dokumen Teks
Abstract Classification of text documents can be managed manually by using human-made classification rules. However, as many text document files exist today, the application of machine learning can help to classify the documents more effectively and the structured. Data mining with the Naïve Bayes…
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Artikel Jurnal
Integration of Explainable AI (XAI) Models for ESG Reporting within a Sustainable Enterprise Information System Governance Framework
…within the Net Zero Emission 2060 framework. The system integrates Machine Learning (ML), Explainable AI (XAI), and Environmental, Social, and Governance (ESG) frameworks into a unified predictive–analytic platform that supports data-driven decision-making. Secondary data were obtained from Our…
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Optimization and Comparative Analysis of C4.5, Random Forest and XGBoost for Mapping SMK Muhammadiyah 2 Pekanbaru Alumni Career Pathways
…experience. The research adopts a quantitative approach using supervised learning within the CRISP-DM framework. The dataset consists of alumni data from 2021–2024, including academic performance, certification records, demographic variables, and post-graduation career status. Model performance was…
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Artikel Jurnal
Klasifikasi Sentimen Publik Terhadap Implementasi Teknologi 5G Di Indonesia Menggunakan Metode Decision Tree Dan KNN
…implementasi teknologi 5G di Indonesia dengan menggunakan dua algoritma machine learning, yaitu Decision Tree dan K-Nearest Neighbor (KNN). Data dikumpulkan dari media sosial dan melalui proses pra-pemrosesan teks yang meliputi pembersihan data, penghapusan stopword, stemming, serta representasi…
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SENTIMENT ANALYSIS OF THE EDLINK APPLICATION USING SVM AND NAIVE BAYES
The growth of Learning Management Systems (LMS) such as Edlink has made sentiment analysis on user feedback crucial for evaluating user satisfaction and improving services. This study aims to implement and compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in…
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Artikel Jurnal
The Local Binary Pattern (LBP) Approach for Cataract Disease and Classification Using Convolutional Neural Network (CNN)
…image processing. In this study, the authors conducted predictions using Machine Learning to identify cataract and normal eyes using the Convolutional Neural Network (CNN) method and LBP feature extraction. The dataset used consists of 1,411 digital images with two classes: cataract and normal. The…
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Modelling the Hatching Success of Sea Turtle Eggs Using Long Short-Term Memory (LSTM) for Conservation Oriented Ecotourism
…application of LSTM for ecological time series forecasting and provides a machine learning framework to support decision-making in ecotourism scheduling and marine conservation planning in island-based coastal ecosystems
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Artikel Jurnal
ANALYSIS OF GOOGLE CAPCUT APP USER REVIEWS USING NAIVE BAYES
…well as scholarly contributions to the fields of sentiment analysis and machine learning–based text mining.
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Artikel Jurnal
Sentiment Analysis of Public Opinion Regarding Papuan Local Languages Condition Using Data Science Approach
…which has an algorithm model accuracy of 78% and a precision of 88%. The machine learning model that was built and the word cloud visualization analysis succeeded in providing new insights regarding the condition of the Papuan language.
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Artikel Jurnal
Optimization of a Hybrid NLP Model for Multi-Aspect Sentiment Analysis of the Minister of Finance of the Republic of Indonesia
…from the X social media platform. The proposed framework integrates machine learning and deep learning techniques through a hybrid stacking approach combined with preprocessing optimization, class imbalance handling, and hyperparameter tuning. The dataset underwent text normalization, aspect…
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Artikel Jurnal
ERP System Integration Architecture with Artificial Intelligence Models for Supply Chain Management and Inventory Control Optimization
…modules, including purchasing and inventory management, as inputs for a machine learning–based predictive engine. A Long Short-Term Memory (LSTM) model is implemented to capture non-linear temporal demand patterns and improve forecasting accuracy. In addition, a bidirectional data flow mechanism…
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Artikel Jurnal
Sensitivity Analysis of Parameter Control in Leukemia Classification Using Variable-Length Particle Swarm Optimization
Machine learning has the potential to support hematologists in classifying leukemia by identifying abnormal chromosomes and specific gene markers. One effective technique for feature selection is Variable-Length Particle Swarm Optimization (VLPSO), where its performance depends heavily on parameter…
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Artikel Jurnal
Comparison of K-Means and K-Medoids Algorithms in Text Mining based on Davies Bouldin Index Testing for Classification of Student’s Thesis
…topics that are relevant to the group. One of the uses of techniques in machine learning is to find text processing (Text Mining). In-text mining, there is a method that can be used, namely the Clustering method. Clustering processing techniques can group objects into the number of clusters formed…
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Artikel Jurnal
Rancang Bangun Aplikasi Presensi Guru Sekolah Menggunakan Sidik Jari Dan Raspberry Pi
…Abstract The presence of teachers is very influential on the teaching and learning process in schools so a teacher must be disciplined in making attendance every day. Presence is one way of record teacher attendance. Based on the results of observations and interviews in schools the attendance…