51 hasil untuk machine learning
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Artikel Jurnal
PEMANFAATAN CHATBOT BERBASIS ARTIFICIAL INTELLIGENCE PADA SISTEM E-LEARNING: SYSTEMATIC LITERATURE REVIEW
Pemanfaatan chatbot berbasis Artificial Intelligence (AI) dalam sistem e-learning pada pendidikan tinggi semakin berkembang sebagai upaya untuk meningkatkan kualitas interaksi dan personalisasi pembelajaran digital. Namun, kajian yang secara sistematis mengintegrasikan klasifikasi chatbot, dampak…
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Artikel Jurnal
Automating Learning Analytics Dashboards: A Data-Driven Approach to Tracking Digital Literacy Progression
As cyber-learning environments become increasingly complex, the manual assessment of digital literacy progression presents a significant bottleneck for educators and researchers. This paper proposed a high-performance, automated Learning Analytics Dashboard (LAD) designed to track and visualise…
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Artikel Jurnal Teks lengkap
Teori kritis terhadap analisis sitasi untuk kajian kuantitatif sains dan evaluasi kinerja riset
…data to text and context analysis based on a computer science approach (machine learning techniques). Conclusion. This new method has the potential to be developed within the framework of quantitative in Science and Technology studies to overcome existing criticisms. Subsequent multidisciplinary…
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Artikel Jurnal
Analisis Sentimen Terhadap Pelayanan Perpustakaan Universitas Lancang Kunig Dengan Mengunakan Metode Naïve Bayes
Analisis sentimen adalah proses komputasi yang mengklasifikasikan data tekstual berdasarkan sensasi yang dimiliki. Metode ini semakin populer karena banyaknya data teks yang tersedia dan meningkatnya permintaan untuk memahami pendapat publik tentang topik tertentu. Universitas Lancang Kuning…
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Artikel Jurnal
The Utilization of AI in Student Assessment and Analysis at SMA Negeri 18 Pekanbaru
…through training on the use of artificial intelligence (AI), specifically machine learning (ML), in assessing and analyzing student performance. This training uses Orange Data Mining as a practical tool to help teachers understand AI/ML concepts, process student grade data, and build applicable…
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Artikel Jurnal
Sentiment Analysis of Teacher Bullying Discourse in Indonesia Using Naive Bayes, Support Vector Machines, and Random Forest
…to analyze public sentiment toward teacher bullying in Indonesia using a machine learning approach. Three classification methods are employed, namely Naive Bayes, Support Vector Machine (SVM), and Random Forest. The dataset consists of 3,351 tweets after preprocessing. Sentiment labels (positive…
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Artikel Jurnal
Analisis Sentimen Mahasiswa Univeritas Lancang Kuning Terhadap Penggunaan Edlink Sebagai Media Pembelajaran Menggunakan Metode SVM
Abstrak Perkembangan teknologi informasi mendorong pemanfaatan Learning Management System (LMS) dalam mendukung pembelajaran. Learning Management System (LMS) merupakan perangkat lunak yang digunakan untuk mengelola administrasi, mendokumentasikan kegiatan, serta memfasilitasi proses belajar…
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Artikel Jurnal
Prediction of Student Participation in the Library of the University of Muhammadiyah Malang Based on Social Media Activities Using Decision Tree
Background: Social media has become an effective tool in promoting library services. This study uses the Decision Tree algorithm to predict student participation in the University of Muhammadiyah Malang library based on their social media activities.Objective: The data used included features such…
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Artikel Jurnal
PEMODELAN PREDIKSI DAN STRATIFIKASI RESIKO SERANGAN JANTUNG DENGAN RANDOM FOREST DAN LOGISTIC REGRESSION BERBASIS CROSS-INDUSTRY STANDARD PROCESS FOR DATA MINING
Penelitian ini bertujuan mengembangkan model prediktif untuk klasifikasi dan stratifikasi risiko serangan jantung menggunakan pendekatan machine learning dalam kerangka kerja CRISP-DM. Data klinis yang digunakan berasal dari 1.319 pasien dengan atribut meliputi usia, jenis kelamin, detak jantung…
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Artikel Jurnal
Pengelompokan Barang Menggunakan Metode K-Means Clustering Dan K-Medoids Berdasarkan Hasil Penjualan Pada Kamajaya Seraya
Penelitian ini bertujuan untuk mengelompokkan barang menggunakan metode K-Means Clustering dan K-Medoids berdasarkan hasil penjualan pada Kamajaya Seraya. Pengelompokan barang yang efektif dapat membantu Kamajaya Seraya dalam mengidentifikasi pola penjualan, mengoptimalkan manajemen stok, serta…
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Artikel Jurnal
PERBANDINGAN METODE NAÏVE BAYES, DECISION TREE, DAN KNN DALAM ANALISIS SENTIMEN APLIKASI GOJEK DI PLAYSTORE
Sentiment analysis on user evaluation of Gojek application services on Play Store is important to understand user opinions on the services provided. This study compares three machine learning methods, namely Naïve Bayes, Decision Tree, and K-Nearest Neighbors (KNN) when categorizing user sentiment…
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Artikel Jurnal
Kombinasi Sinkronisasi Jaringan Syaraf Tiruan dan Vigenere Cipher untuk Optimasi Keamanan Informasi
…bobot jaringan sulit terpecahkan. Kunci dihasilkan dari bidirectional learning, dua pohon paritas saling tersinkronisasi dengan paramater hidden neuron, input neuron dan bobot. Sinkronisasi pada saluran publik dengan mengadopsi cara kerja Tree Parity Machine (TPM) dengan tipe feed forward…
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Artikel Jurnal
ANALISIS SENTIMEN PUBLIK KRISIS EKONOMI UNTUK INOVASI PRODUK ASURANSI: PERBANDINGAN LEXICON DAN SVM PADA MEDIA SOSIAL
…sentimen dilakukan menggunakan dua pendekatan, yakni berbasis lexicon dan machine learning dengan algoritma Support Vector Machine (SVM). Hasil analisis berbasis lexicon menunjukkan dominasi sentimen positif, namun disertai tingkat akurasi dan presisi yang rendah, bahkan setelah dilakukan perluasan…
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Artikel Jurnal
Game Edukasi Pengenalan Gedung Museum Negeri Sumatera Utara Menggunakan RPG Maker MV
…to create an accessible 2D educational game and applies the Finite State Machine (FSM) method to manage interactions with non-player characters (NPCs). A qualitative approach was used, with data collected through questionnaires distributed to 30 respondents aged 15–25. The evaluation focused on…
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Artikel Jurnal
Pelatihan Perawatan Mesin Bagi Pengelola Bank Sampah Universitas Lancang Kuning
The Unilak waste bank currently operates three machines: a compost chopper, a press machine, and a plastic chopper. This machine is critical to the operation of the Unilak waste bank, particularly the composting machine. The compost chopper machine is under extreme strain, as it must keep up with…
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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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Artikel Jurnal
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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Artikel Jurnal
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…