Article Per Year (5 Year)
p-Index From 2019 - 2024
2.607
P-Index
This Author published in this journals
All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Sains dan Informatika Jurnal Ilmiah Matrik Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSAI (Journal Scientific and Applied Informatics) JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Information Systems and Informatics Journal of Computer Networks, Architecture and High Performance Computing Journal of Information Technology Ampera Jurnal Nasional Ilmu Komputer Journal of Software Engineering Ampera Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Bina Komputer J-Icon : Jurnal Komputer dan Informatika
Siti Sauda
Universitas Bina Darma
Computer Science & IT Education Electrical & Electronics Engineering Engineering Library & Information Science Mathematics Social Sciences

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Information Technology Ampera

 1 
Perangkat Lunak Mobile Trivia Game Untuk Membantu Meningkatkan Hafalan Dan Wawasan Anak Anak Terhadap Surah Pendek Al Quran Listiananda Apriliawan; Afriyudi Afriyudi; Siti Sauda
Journal of Information Technology Ampera Vol. 1 No. 1 (2020): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.volume1.isssue1.year2020.page40-49

Abstract

The development of mobile trivia game software is motivated by the tendency of children over the age of 7 who prefer digital devices and are better able to utilize the information presented by games. The mobile trivia game software is expected to be a solution that can meet the needs of children aged over 7 years starting from the aspect of education which is very important to be a shared concern for all elements in the society. The development of the software system can be realized by using the Extreme Programming method which modeling can use a CRC card. The work is done in a very short time. The results of the implementation of the development of mobile trivia game software can provide benefits to children aged over 7 years, especially to help improve their memorization and insight into the Qur'an's Juz Amma. As has become the hope for the author, namely creating educational software for children over 7 years
Implementasi Metode Faster Region Convolutional Neural Network (Faster R-CNN) Untuk Pengenalan Jenis Burung Lovebird Fino Charli; Hadi Syaputra; Muhammad Akbar; Siti Sauda; Febriyanti Panjaitan
Journal of Information Technology Ampera Vol. 1 No. 3 (2020): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.volume1.isssue3.year2020.page185-197

Abstract

Lovebird merupakan burung sosial yang hidup berkelompok di alam bebas. Burung dari genus Agapornis ini ukuran tubuhnya relative mungil bila dibanding burung berparuh bengkok lainnya. Panjangnya sekitar 13-17 cm dengan bobot 30-60 gram. Ragam dan jenis burung lovebird sangat banyak namun bila dilihat dengan pendeketan taksonomi, hanya terdapat 9 spesies burung lovebird. Penelitian metode Faster Region Convolutional Neural Network ini digunakan untuk mengenali jenis burung lovebird guna mencari tahu motif atau warna asli dari jenis burung lovebird tertentu berdasarkan tingkat akurasi dari hasil deteksi objek. Faster R-CNN merupakan pengembangan Convolutional Neural Network (CNN) yang ditemukan oleh Ross Girshick. Sampai saat ini metode ini masih terus dikembangkan dan digunakan untuk pengenalan objek atau objek recognition. Penelitian ini menggunakan data set burung lovebird dengan total 808 gambar dan 8 (kelas) yaitu Agapornis Personata, Agapornis Fischeri, Agapornis Lilianae, Agapornis Nigrigenis, Agapornis Roseicollis, Agapornis Taranta, Agapornis Pullarius, Agapornis Canus. Hasil dari proses learning didapatkan akurasi sebesar 96% dengan loss sebesar 0,2% . sehingga dapat disimpulkan bahwa metode Faster R-CNN dapat diterapkan pada pengenalan jenis burung lovebird.
Implementasi Algoritma Fisher Yates Shuffle pada Aplikasi Belajar Huruf Hijaiyah Irfan Kurniawan; Siti Sauda
Journal of Information Technology Ampera Vol. 2 No. 3 (2021): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.volume2.isssue3.year2021.page139-149

Abstract

The form of coaching for early childhood is providing stimulation so that children have readiness to enter the next level of education. One of the basic educations provided by parents is religious education in the form of introduction to hijaiyah letters. Children interacting with smartphones more often than books, causing parents to have basic education such as reading and writing using books to be less attractive to children. From this problem, the writer wants to build a learning media application using smartphone media. This Hijaiyah Letter Learning application was created using the fisher yates shuffle algorithm, by randomizing the questions in this application. Based on the test results that the implementation of the Fisher Yates Shuffle algorithm for randomization of questions in the hijaiyah learning application is running well, there are no questions that appear repeatedly.
Co-Authors Ade Kemala Jaya Afriyudi Afriyudi Agustini, Eka Puji Alex Wijaya Andri Ramadoni Devi Udariyansyah Dinda Ayu Ningsih Eka Septiawati Fatoni Kurniawan Febriyanti Panjaitan Fino Charli Hadi Syaputra Irfan Kurniawan Listiananda Apriliawan Muhamad Akbar Muhammad Akbar Muhammad Bunyamin Muhammad Dandi Permana Muhammad Nasir Novri Hadinata Nurhera Larassati Nyimas Humairoh Khairunnissa Oktaviani, Nia Raden Muhammad Mirza Prasetyo Rani Tarisa Rasmila Rasmila Shabila Fitri Aulia Widya Cholil Yogi Mardiyansya