3 hasil untuk "Syakur, Muhammad"
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Improving sentiment classification accuracy through information gain feature selection and hyperparameter tuning in random forest model
This study aims to enhance the accuracy of sentiment classification for Madura coastal tourism reviews using Random Forests optimised via Information Gain (IG) feature selection and hyperparameter tuning. The research contribution is an efficient hybrid framework that improves classification…
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Artikel Jurnal
Sekema Multi Akad Mudharabah Musytarakah Dan Implikasinya
Hajat kebutuhan manusia yang semakin meningkat dan berkembang telah menuntut manusia untuk berinovasi dalam memenuhi kebutuhannya. Hal ini berakibat langsung bagi berkembangnya model-model akad. Akad-akad baru akhirnya muncul di sektor-sektor ekonomi syariah. Diantaranya adalah sekema multi akad…
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Multiclass classification of toddler nutritional status using support vector machine: A case study of community health centers in Bangkalan, Indonesia
Monitoring child development is vital in Indonesia due to its large child population and varying socio-economic and geographical conditions. Malnutrition adversely affects children's growth and development, with ongoing challenges in remote areas despite government efforts. This study addresses the…
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- Sekema Multi Akad Mudharabah Musytarakah Dan ImplikasinyaSyakur, Muhammad · 2021 · Artikel Jurnal