Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Sistem Komputer & Kecerdasan Buatan International Journal of Artificial Intelligence and Robotics (IJAIR)
Zoqi Sarwani, Mohammad
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Recognition of Korean Alphabet (Hangul) Handwriting into Latin Characters Using Backpropagation Method Widodo, Anang Aris; Izza Mahendra, Muchammad Yuska; Zoqi Sarwani, Mohammad
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 3 No. 2 (2021): IJAIR : November
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/ijair.v3i2.4210

Abstract

The popularity of Korean culture today attracts many people to learn everything about Korea, especially in learning the Korean language. To learn Korean, you must first know Korean letters (Hangul), which are non-Latin characters. Therefore, a digital approach is needed to recognize handwritten Korean (Hangul) words easily. Handwritten character recognition has a vital role in pattern recognition and image processing for handwritten Character Recognition (HCR). The backpropagation method trains the network to balance the network's ability to recognize the patterns used during training and the network's ability to respond correctly to input patterns that are similar but not the same as the patterns used during training. This principle is used for character recognition of Korean characters (Hangul), a sub-topic in fairly complex pattern recognition. The results of the calculation of the backpropagation artificial neural network with MATLAB in this study have succeeded in identifying 576 image training data and 384 Korean letter testing data (Hangul) quite well and obtaining a percentage result of 80.83% with an accuracy rate of all data testing carried out on letters. Korean (Hangul).
Implementasi Raspberry Pi Sebagai Private Cloud Printer Server Menggunakan OpenWrt Udin, Muhammad; Zoqi Sarwani, Mohammad
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 8 No. 3 (2025): Volume VIII - Nomor 3 - Mei 2025
Publisher : Teknik Informatika, Sistem Informasi dan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v8i3.817

Abstract

Perkembangan teknologi informasi dan komunikasi telah membuka peluang baru dalam sistem pencetakan berbasis cloud. Penelitian ini bertujuan untuk mengimplementasikan Raspberry Pi sebagai private cloud printer server menggunakan OpenWrt. Dengan sistem ini, pengguna dapat mencetak dokumen dari berbagai perangkat tanpa memerlukan koneksi fisik langsung ke printer. Metode yang digunakan dalam penelitian ini meliputi analisis kebutuhan sistem, perancangan, implementasi, serta pengujian kinerja perangkat keras dan perangkat lunak. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu beroperasi dengan stabil dan memberikan efisiensi dalam pencetakan dokumen, khususnya dalam lingkungan pendidikan. Implementasi private cloud printer ini berpotensi mengurangi biaya operasional dan meningkatkan fleksibilitas akses pencetakan bagi pengguna. Kata Kunci — Raspberry Pi, OpenWrt, Cloud Printing, Printer Server, Jaringan
Co-Authors Anang Aris Widodo Izza Mahendra, Muchammad Yuska Udin, Muhammad