| 1 |
Comparison of tuberculosis disease classification using support vector machine and Naive Bayes algorithm |
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Tahun Belum Diisi |
| 2 |
Evaluation of the Universitas Jenderal Soedirman e-learning website (Eldiru) using the WebQual 4.0 method |
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Tahun Belum Diisi |
| 3 |
Website design analysis for the management and promotion of micro, small, and medium-sized enterprises (MSMEs) in the Covid-19 pandemic period |
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Tahun Belum Diisi |
| 4 |
User Experience Evaluation Using Integration of Remote Usability Testing and Usability Evaluation Questionnaire Method |
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Tahun Belum Diisi |
| 5 |
Data Warehouse Analysis and Design based on Research and Service Standards |
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Tahun Belum Diisi |
| 6 |
Query expansion in information retrieval using frequent pattern (FP) growth algorithm for frequent itemset search and association rules mining |
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Tahun Belum Diisi |
| 7 |
Ontology model for tourism information in Banyumas |
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Tahun Belum Diisi |
| 8 |
The ontology approach for information retrieval in learning documents |
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Tahun Belum Diisi |
| 9 |
A study: Query expansion methods in information retrieval |
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Tahun Belum Diisi |
| 10 |
Analysis of shape features by applying gain ratio and machine learning for coffee bean classification |
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Tahun Belum Diisi |
| 11 |
Implementations of the Fuzzy C-Means Clustering Method in Song List Based on Emotional Mood |
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Tahun Belum Diisi |
| 12 |
Knowledge Sharing as a Mediator between Clan Culture, Trust, and Resilience and Innovative Work Behavior in Indonesian Village-owned Enterprises |
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Tahun Belum Diisi |
| 13 |
Information System for Orphan Data Management in Karangsari Village, Kalimanah District, Purbalingga Regency |
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Tahun Belum Diisi |
| 14 |
Enhanced Fall Detection using Optimized Random Forest Classifier on Wearable Sensor Data |
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Tahun Belum Diisi |
| 15 |
A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN |
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Tahun Belum Diisi |
| 16 |
Sentiment Analysis of the Kampus Merdeka Program on Twitter Using Support Vector Machine and a Feature Extraction Comparison: TF-IDF vs. FastText |
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Tahun Belum Diisi |
| 17 |
The Model of Predicting Student Study Periods Using Neural Network Algorithms |
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Tahun Belum Diisi |
