Aplikasi Matlab pada Teknologi Pencitraan Medis

Atina, Atina

doi:10.31851/jupiter.v1i1.3123

Cited by 11 publications

(10 citation statements)

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“…In this research, the Matlab program was used. Matlab (Matrix Laboratory) is a software developed by Mathworks, Inc. by utilizing the matrix in its use (Atina, 2019). Besides Matlab, Microsoft Excel was also used as an implementing tool or a place to process data, as well as using the KNN algorithm as a decision-making system.…”

Section: F Programmingmentioning

confidence: 99%

The Use of the K-Nearest Neighbor (KNN) Algorithm in Analyzing the Views of the Indonesian Society Regarding the Policy of Covid-19 Booster Vaccine

Sipayung¹,

Wibowo²,

Vebrian³

2022

IJMRA

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At beginning of 2020, the world was shocked by the outbreak of the coronavirus from China. The coronavirus caused panic in China and killed thousands of Chinese people. Many people seemed to rely on social media for more information. As a result, social media platforms have become mediators between individuals and the rest of the world, even becoming the fastest-growing social applications. Among several well-known social media platforms, Twitter has gained special attention because users can easily broadcast information about their opinions on certain topics through public messages, called tweets. There was public anxiety about the Covid-19 vaccination. Public opinion and unrest are posted on Twitter. Based on this case, it is necessary to analyze the views or opinions of the public regarding the Covid-19 vaccination policy, especially regarding the Booster Vaccine type which can be categorized into positive or negative opinions circulating on Twitter. This research aims to analyze the views of the Indonesian people toward the Covid-19 Booster Vaccine using the K-Nearest Neighbor Algorithm (K-NN).

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Section: F Programmingmentioning

confidence: 99%

The Use of the K-Nearest Neighbor (KNN) Algorithm in Analyzing the Views of the Indonesian Society Regarding the Policy of Covid-19 Booster Vaccine

Sipayung¹,

Wibowo²,

Vebrian³

2022

IJMRA

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“…Sehingga Matlab dapat diterapkan di teknologi pencitraan medis, khususnya citra medis dari radiografi digital. [4]…”

Section: Matlabunclassified

Implementasi Jaringan Syaraf Tiruan Model Perceptron Untuk Klasifikasi Karir Alumni SMKN 1 Glagah 2018

Prasetyo

Sari

2022

ZTR

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Alumni SMKN 1 Glagah tepatnya pada jurusan teknik elektronika industri 2018 memiliki karir yang berbeda-beda, ada yang bekerja dan ada juga yang berkuliah. Untuk memantau karir para alumni maupun para siswa yang akan lulus, pihak sekolah tentunya memerlukan suatu metode untuk mengklasifikasikan karir mereka secara efisien dan akurat. Digunakanlah sebuah metode jaringan syaraf tiruan dengan bantuan aplikasi Matlab. Jaringan syaraf tiruan yang dirancang dengan menggunakan algoritma perceptron ini nantinya dapat memberikan sebuah hasil keputusan dalam mengklasifikasikan karir alumni elektronika industri 2018 SMKN 1 Glagah. Kata Kunci : Jaringan Syaraf Tiruan, Algortima Perceptron, Matlab, Variabel dan Keputusan.

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“…pemrograman komputer adalah mata kuliah wajib disebuah program studi [14]. Aplikasi yang digunakan dalam pengujian adalah Matlab, dimana Matrix Laboratory (Matlab) adalah perangkat lunak yang pemanfaatannya menggunakan dasar matrix.…”

Section: Untuk Memperbarui Bobot Gunakan Peraturanunclassified

Tingkat Korelasi Prestasi Akademik Terhadap Siswa SMP Menggunakan Metode Backpropagation

Yeni¹,

Yuhandri

2021

JSisfotek

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Student academic achievement plays a very important role in determining the quality of a school. Student grades sometimes change every semester, there are increases and decreases. There is an assumption that students whose grades are in the previous semester will be in the next semester and vice versa. is expected to make it easier for us as educators to see the extent to which changes in student academic achievement. The data tested is the data of 60 class VII students in 2 semesters. Furthermore, it will be tested using the MatLab Application, then the results of the changes that occur will come out. The results of this study found that they did not know the value of semester 1 with the value of semester 2 TP. 2019/2020 is very good with an architectural pattern of 10-10-1 with a value of 95.3%. So students who excel in semester 1 are likely to excel in the following semester. So that it can help the school in seeing the Correlation Level of Student Academic Achievement at SMPN 3 Lengayang.

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Aplikasi Matlab pada Teknologi Pencitraan Medis

Cited by 11 publications

References 0 publications

The Use of the K-Nearest Neighbor (KNN) Algorithm in Analyzing the Views of the Indonesian Society Regarding the Policy of Covid-19 Booster Vaccine

The Use of the K-Nearest Neighbor (KNN) Algorithm in Analyzing the Views of the Indonesian Society Regarding the Policy of Covid-19 Booster Vaccine

Implementasi Jaringan Syaraf Tiruan Model Perceptron Untuk Klasifikasi Karir Alumni SMKN 1 Glagah 2018

Tingkat Korelasi Prestasi Akademik Terhadap Siswa SMP Menggunakan Metode Backpropagation

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