Article Per Year (5 Year)
p-Index From 2019 - 2024
1.633
P-Index
This Author published in this journals
All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi CommIT (Communication & Information Technology) Indonesian Journal on Computing (Indo-JC) Jurnal Komputer Terapan Syntax Literate : Jurnal Ilmiah Indonesia Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Serambi Engineering Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Teknika
Kaburuan, Emil Robert
Informatics Engineering Department, Faculty Of Computer Science, Mercu Buana University
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Komputer Terapan

 1 
Implementasi OCR dengan Metode Autoencoder pada Aplikasi Bukutamu berbasis WEB Muhamad Aldi Rizaldi; Emil R. Kaburuan
Jurnal Komputer Terapan  Vol. 8 No. 2 (2022): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.978 KB) | DOI: 10.35143/jkt.v8i2.5420

Abstract

A guestbook is a tool to record the identities of visitors who come to a place or event such as weddings, birthday celebrations, parties etc. Not just recording, the guestbook also functions as evidence and traces to avoid something unwanted. So it is not surprising that in some places it is required to submit an identity card such as a KTP when filling out a guestbook to be allowed to enter the place. KTP itself is an identity card that contains data such as name, place, date of birth etc. The data contained in the KTP can be utilized in the guestbook filling process so that officers only need to take a picture of the KTP and visitor data will be filled in automatically with the help of optical character recognition (OCR). To get a good OCR result, an image with clear words is needed, its position is not tilted and its size is not too small. Therefore, various preprocessing steps are needed before performing the OCR process, one of which is by applying denoise using the Autoencoder which has succeeded in making the image cleaner and the OCR results become more accurate.
Co-Authors Achmad Riesky Abrorry Andrian Kurniawan Perdana Danang Junaedi Fadli Aziz Setiawan Ika Agustina Irfan Fandi Joni Welman Simatupang Muhamad Aldi Rizaldi Muhammad Ikhsan Muhammad Rayhan Syahida Ramadhan Mujiono Sadikin Nanda Ressq Setiawan Ridha Muhlita Putra Sari, Yunita Sartika Sealtial Mau Wahyu Kurniawan Hartanto