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All Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Trevy Jonatya Novella
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Perancangan Database dan Website Loker Rental System Pada Kampus ESQ Business School Trevy Jonatya Novella; Ahlijati Nuraminah; Aaqila Dhiyaanisafa Goenawan
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 1 No. 3 (2022): September : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1342.38 KB) | DOI: 10.55606/jtmei.v1i4.777

Abstract

Tempat penyimpanan barang disuatu tempat sangat dibutuhkan untuk beberapa orang yang ingin menyimpan barang yang dimiliki selama beberapa waktu, begitupun di kampus ESQ Business School juga menyediakan peminjaman tempat untuk para mahasiswa untuk menyimpan barang. Sebelumnya proses peminjaman barang masih dilakukan secara manual, dengan adanya platform berbasis website ini diharapkan bisa memfasilitasi peminjaman loker agar bisa memudahkan pengurus loker maupun seluruh mahasiswa dan bisa diakses dari mana saja dan kapan saja. Pembuatan menggunakan manajemen basis data MySQL dan menggunakan bahasa pemprograman PHP native dengan konsep Object Oriented Programming(OOP).
IMPLEMENTASI METODE K-NEAREST NEIGHBOUR DALAM MEMPREDIKSI CURAH HUJAN DI KOTA BOGOR Naufal Rasyid; Trevy Jonatya Novella; Ahlijati Nuraminah
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 1 (2022): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

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
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 2 (2022): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

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 Aaqila Dhiyaanisafa Goenawan Abdullah Ammar Ahlijati Nuraminah Naufal Rasyid Sirajudin Hawari