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2.867  Articles
1 of 288 pages  |  10  records  |  more records»
Malnutrisi di rumah sakit merupakan hal penting yang seringkali terlewatkan pada penanganan pasien. Prevalensi yang sangat tinggi, komplikasi yang bervariasi tingginya mortalitas dan biaya yang harus ditanggung akibat malnutrisi mengharuskan penanganan ya... see more


The application of kernel functions can solve the problem of non-linear image data so that the data can be linearly separable with a hyperplane by mapping the input space to the feature space to increase its dimensions. This article will discuss the impro... see more

Today, the use of e-mail, especially for formal online communication, is still often done. There is one common problem faced by e-mail users, which is the frequent receiving of spam messages. Spam messages are generally in the form of advertising or promo... see more

Kernel Bulk is a temporary shelter for kernels produced at the Palm Oil Mill, before sending process to buyers. The problem is, it is not known exactly how many production kernels have been produced and collected in Kernel Bulk. Daily kernel stock measure... see more

Human Development Index (HDI) is a competitive index that serves as one of the crucial metrics for evaluating the effectiveness of enhancing the quality of human resources. HDI values from different areas can be compared. This study aims to spatially and ... see more

PT. Varem Sawit Cemerlang (PT.VSC) merupakan perusahaan yang bergerak dibidang pengolahan buah kelapa sawit dengan kapasitas 35 ton/jam, pada PT.VSC Stasiun yang sangat minim perhatian adalah stasiun kernel sehingga sering mengalami kerusakan yang mengaki... see more

Kernel performs one part of the overall operating system utility as a bridge between the user and the hardware. In multi core hardware, the kernel was also created with a general approach so it needs to be adjusted for specific purposes. Kernels for serve... see more

The Geographically Weighted Logistic Regression (GWLR) model is a logistic regression model development that is applied to spatial data from non-stationary processes. This model is used to predict a model of the data set that has a binary response variabl... see more

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