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Found 4 from your keywords: subject="Pemrosesan Data Non E...
cover
IMPLEMENTASI ADD-ON BLENDER UNTUK OTOMATISASI PEWARNAAN ACAK PADA OBJEK
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Elnova, Karina Novita

3D object coloring is an important stage in digital design and animation, but this process often takes a long time and tends to be monotonous. This research aims to develop a Blender add-on called AutoColorize, designed using Python to automate the coloring process. The add-on is equipped with features to generate color palettes and apply colors to selected objects. The test results show that u…

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xiv, 67 hlm.; ilus.; 29 cm
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T1632352024
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OPTIMASI FUZZY INFERENCE SYSTEMMODELMAMDANI DENGAN MENGGUNAKAN ALGORITMAPARTI…
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Tadri, Irsyad

Air is one of most importants thing in the world for all people, animals and plants. That’s why to check and maintain the air quality is one option to maintenance the world’s life. There are many way to check and maintain or even to predict the air polutions, and in this case i will use Fuzzy Inference System Mamdani. Not only with Fuzzy Inference System Mamdani, I will also optimize that w…

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xvii, 67 hlm.; ilus.; 29 cm
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T1631632024
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EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE.
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Maharani, Adys Syakhira

The increasing number of scientific articles presents a challenge for researchers in quickly accessing relevant information. One of the main challenges is determining efficient keywords. To address this, an automatic keyword extraction system becomes an essential solution, aimed at developing and evaluating methods for keyword extraction to accelerate the search and management of information fr…

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Collation
x, 96 hlm.; ilus.; 29 cm
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T1627572024
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KLASTERISASI DATA KECELAKAAN LALU LINTAS JALAN RAYA DI PROVINSI JAMBI MENGGUN…
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Dahlan, Bulan Fitri 

Traffic accidents are one of the main problems faced by many regions, including Jambi Province, where accidents often result in losses both in terms of casualties and material. This research focuses on applying the K Means clustering method to analyze traffic accident data in Jambi Province. The analyzed data are from 2018 to 2022, obtained from the Traffic Directorate of Jambi Province and Mua…

Edition
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ISBN/ISSN
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Collation
xvii, 87 hlm.; Ilus.; 29 cm
Series Title
-
Call Number
T1411822024
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