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All Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK)
Trevy Jonatya Novella
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Civil Engineering, Building, Construction & Architecture Computer Science & IT

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IMPLEMENTASI METODE K-NEAREST NEIGHBOUR DALAM MEMPREDIKSI CURAH HUJAN DI KOTA BOGOR Naufal Rasyid; Trevy Jonatya Novella; Ahlijati Nuraminah
JURAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 1 (2022): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.03 KB) | DOI: 10.55606/jurritek.v1i1.592

Abstract

Accurate weather prediction information is important for various fields that are closely related to weather forecasting, such as agriculture, fisheries and many more. Because precise weather forecasts are very useful for various fields of carrying out various activities. Because of that, it is necessary to make an application to find weather or rainfall prediction information, so that the information can be utilized optimally by the community. In this journal the authors apply the k-nearest neighbors (k-NN) method based on rainfall data obtained from the Bogor climatology station from 2016-2017 and the test results show that the predicted rainfall for the Bogor area with the K-Nearest Neighbor algorithm obtained a value of 0, 93148.
SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT TUMOR OTAK MENGGUNAKAN METODE CERTAINTY FACTOR (CF) Abdullah Ammar; Sirajudin Hawari; Trevy Jonatya Novella; Ahlijati Nuraminah
JURAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 2 (2022): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (928.856 KB) | DOI: 10.55606/jurritek.v1i2.594

Abstract

ABSTRAK The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method
Co-Authors Abdullah Ammar Ahlijati Nuraminah Naufal Rasyid Sirajudin Hawari