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Found 4 from your keywords: author="Ramadhan, Muhammad Riz...
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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI EFEKTIVITAS PENGGUNAAN ANGGARAN PROG…
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Ramadhan, Muhammad Rizky

Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang mempengaruhi efektivitas penggunaan anggaran program peningkatan kapasitas lembaga tahun 2021-2023 di Sekretariat DPRD Provinsi Sumatera Selatan. Adapun metode pengambilan data yang digunakan pada penelitian ini adalah data primer yang didapatkan melalui proses wawancara terhadap staf keuangan DPRD Provinsi Sumatera Selatan…

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Collation
xvii, 82 hlm.; ilus.; 29 cm
Series Title
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Call Number
T1522422024
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PENGARUH GOOD NEWS DAN BAD NEWS TERHADAP RETURN SAHAM PERUSAHAAN MANUFAKTUR D…
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Ramadhan, Muhammad Rizky

This study aims to empirically examine the effect of good news and bad news on stock returns of manufacturing companies listed on the Indonesia Stock Exchange. A quantitative approach was employed, utilizing secondary data derived from news published on the “News” feature of the Mirae Asset Sekuritas and Stockbit Sekuritas applications between 2019 and 2024. The sample comprised 157 manufac…

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ISBN/ISSN
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Collation
xvii, 117 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1805332025
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EFEKTIVITAS ANTIBAKTERI KITOSAN CANGKANG KEPITING BAKAU (Scylla serrata) TERH…
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Ramadhan, Muhammad Rizky

Background: Porphyromonas gingivalis was a pathogenic bacterium that played a role in the development of periodontal diseases, such as periodontitis. Effective treatment to inhibit the growth of this bacterium was highly needed. Chitosan, a biopolymer extracted from the shell of the mud crab (Scylla serrata), was known to have potential antibacterial properties. Objective: The aim of the study …

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ISBN/ISSN
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Collation
xvi, 43 hlm.; ill.; tab.; 29 cm.
Series Title
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Call Number
T1698572025
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REKONSTRUKSI CITRA ULTRASONOGRAFI TRANSCEREBELLAR 2 DIMENSI MENJADI TRANSCERE…
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Ramadhan, Muhammad Rizky

Reconstruction of two-dimensional transcerebellar images into three�dimensional transcerebellar has an important role in diagnosis and treatment planning in neurology. This study proposes the 3D-FHNet method to produce an accurate three-dimensional representation of transcerebellar images. The study began with segmentation of transcerebellar objects on well-labeled ultrasound datasets. The se…

Edition
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ISBN/ISSN
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Collation
xvi, 61 hlm.; Ilus.; 29 cm
Series Title
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Call Number
T1249652023