Article Per Year (5 Year)
p-Index From 2020 - 2025
0.947
P-Index
This Author published in this journals
All Journal Jurnal Teknik Komputer AMIK BSI JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Teknik Informatika STMIK Antar Bangsa Scientific Journal of Informatics Jurnal Sistem Informasi dan Sistem Komputer
Rizqi Agung Permana
STMIK Antar Bangsa
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Implementation AHP Method in Selection of Outstanding Students at MI Sirojul Athfal 1 Bogor Sulaeman Hadi Sukmana; Syifa Fauziah; Sucitra Sahara; Erma Delima Sikumbang; Rizqi Agung Permana
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6128

Abstract

At the beginning of 2020, precisely in March 2020, the government announced that Indonesia was affected by the Covid-19 outbreak. Since then, Indonesia has also been faced with a pandemic period, where all sectors of life have been affected, including the education sector. The primary school of MI Sirojul Athfal 1 Bogor conducts learning from home, this causes a lack of effective learning between teachers and students, and teachers find it difficult to determine student achievement. The Decision Support System (DSS) is one system that is able to assist researchers in making decisions accurately and in accordance with the objectives in determining outstanding students at the school. The Analytical Hierarchy Process (AHP) is capable of solving complex multi-criteria problems. From the results of this study and calculations carried out using the Expert Choice tool, it was concluded that the highest priority score was obtained by Muamar students with a value of 0.447. From this study, the results of the CR hypothesis for all criteria value are less than 0.1 or less than 10%, therefore the overall hierarchy produces consistent values.
K-NN Method for Review Analys Product Accounting Software Sucitra Sahara; Rizqi Agung Permana
Jurnal Ilmiah Informatika Vol. 5 No. 2 (2020): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v5i2.948

Abstract

Many companies have not implemented accounting software in financial management. Even though the current era of technology is increasingly updated and developing, more and more superior products are being issued by software development companies, especially in accounting software. There are not a few software products whose quality is still below standard or incomplete with features and facilities. So that researchers concentrate on companies or individual businesses that still use manual methods in processing their finances by helping and making it easier to choose the software product they will choose. Researchers first carry out the accounting software product selection stage based on an opinion or opinion of the public who have bought and used the software they choose and they pour this opinion into online media such as comments on a product selling site. Thousands of comments will be processed and grouped into data sets and this time the researcher processes the data classification using the k-Nearest Neighbor (K-NN) algorithm. By using the K-NN method, it is expected to be able to produce the expected accuracy value so that the data set processing is stronger and more valid. It turns out that after applying the data accuracy value obtained by 80.50%, it can be concluded that the K-NN method is very suitable for the concept of text mining this time and for selecting the data set in the form of text.
Review Analisis Platform CICD dengan Metode Systematic Literature Review Rizqi Agung Permana; Sucitra Sahara; Marlina Marlina
Jurnal Teknik Komputer AMIK BSI Vol 9, No 1 (2023): JTK Periode Januari 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v9i1.13954

Abstract

Abstrak  - Banyak aplikasi yang dibentuk, mulai dari aplikasi mobile maupun berupa website. Selain itu adanya pandemi juga turut mendorong pertumbuhan iklim digital di segala sektor. Hampir setiap organisasi baik industri, pendidikan maupun pemerintahan terus berlomba untuk berinovasi menciptakan dan menggunakan teknologi digital. Fitur dan layanan aplikasi pun terus berkembang dan beradaptasi dengan experience pengguna. Perubahan atau release terhadap aplikasi pun di tuntut semakin cepat dan zero error. Proses deployment ke production server tersebut menjadi semakin sering dilakukan. Sehingga kebutuhan akan tools atau platform CICD sangat tinggi. Berdasarkan hasil penelitian analisis review terhadap jurnal scopus yang terbit antara tahun 2019 sampai 2021  yang memiliki peringkat di scimagojr Q1 sampai Q4 dengan keyword CICD dan /atau DevOps. Terdapat 6 paper yang menyebutkan platform Jenkins. Sedangkat jika keyword di rubah menjadi Jenkins dengan type journal terdapat 193 paper yang mencantumkan Jenkins. Kemudian untuk metode deployment rollout di pakai dalam 10 paper penelitian dan menjadi metode terbanyak yang di pakai. Sedangkan untuk arsitektur applikasi yang paling banyak di pakai adalah microservice dengan 20 paper.  
Algoritma K-Nearest Neighbor Pada Analisa Sentimen Review Produk Router Rizqi Agung Permana; Sucitra Sahara
Jurnal Sistem Informasi dan Sistem Komputer Vol 8 No 2 (2023): Vol 8 No 2 - 2023
Publisher : STIMIK Bina Bangsa Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51717/simkom.v8i2.129

Abstract

Review komentar yang telah dikumpulkan datanya dan akan diproses yaitu berupa text positif dan text negatif yang dilakukan pada pengklasifikasian data menggunakan k-Nearest Neighbors (k-NN) method. k-NN method merupakan salah satu algoritma yang cukup tepat untuk pengenalan pola data pada klasifikasi text. Pertumbuhan penggunaan router yang lekat berkaitan dengan kegiatan harian bagi pengguna laptop, smartphone dan tablet agar jaringan internet dapat dijalankan secara optimal, karena fungsi router yaitu dapat mengelola lalu lintas antar jaringan dengan meneruskan paket data ke alamat IP yang dituju. Maka dari itu peneliti mencoba memberikan kemudahan dalam pemilihan perangkat router yang tepat bagi pengguna mulai dari kualitas dan performa yang tinggi hingga kualitas yang sering dipertanyakan, sehingga peneliti mengadakan screening perangkat untuk opini atau komentar mengenai produk router oleh pengguna yang sudah menggunakan perangkat tersebut dan dituliskan ke dalam media online atau publik komentar. Dan dari pengolahan data sampel komentar yang telah dilakukan yaitu dengan mencoba beberapa metode algoritma seperti Naive Bayes, Neural Network, k-NN, Decision Tree dan Machine Support Vector Machine dengan berbagai tahap pengujian, barulah akan mendapatkan nilai akurasi dan AUC dari masing-masing algoritma tersebut sehingga didapatkan hasil pengujian tertinggi yaitu dengan menggunakan algoritma k-NN.
Prototipe Monitoring Lampu Jalan Otomatis Menggunakan Mikrokontroller ESP32 dan Api BOT Telegram Yusril Athallah Muhammad Yazid; Rizqi Agung Permana
Jurnal Teknik Informatika Vol 9 No 2 (2023): (JTI) Periode Agustus 2023
Publisher : LPPM STMIK ANTAR BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v9i2.544

Abstract

Public street lighting is one of the most important things because it is related to the security and safety of road users, especially at night which requires good lighting. The lack of lighting on the street, can have a dangerous impact on the community. Along with the development of current technological advances, making changes to the security system and to reduce face-to-face contact in this Covid-19 era. Technology is very important in the need to get the right information, fast and accurate. Currently the development of the IoT (Internet of Things) system which is the result of technological developments has become an inseparable part of people's lives. The IoT system is a very flexible system because anything can be controlled via the internet. And also with this IoT system, it is hoped that it will minimize the occurrence of face-to-face dialogue that can result in the transmission of the covid-19 virus. Therefore, an IoT-based system was created that uses the ESP 32 microcontroller as the processing center for checking damaged street lights or Mafunction whose information is sent through the Application Programming Interface (API) to be forwarded to the recipient's BOT Telegram.
Co-Authors Erma Delima Sikumbang Hadi Sukmana, Sulaeman Marlina Marlina Sucitra Sahara Syifa Fauziah Yusril Athallah Muhammad Yazid