<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Detection of Kids Handwriting For Numbers With Convolutional Neural Network Algorithm</titl><IDNo agency="DOI">doi:10.34820/FK2/KQX7BX</IDNo></titlStmt><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><distDate>2023-10-05</distDate></distStmt><verStmt source="archive"><version date="2023-10-05" type="RELEASED">1</version></verStmt><biblCit>Mikogizka Satria Kartika, 2023, "Detection of Kids Handwriting For Numbers With Convolutional Neural Network Algorithm", https://doi.org/10.34820/FK2/KQX7BX, Telkom University Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Detection of Kids Handwriting For Numbers With Convolutional Neural Network Algorithm</titl><IDNo agency="DOI">doi:10.34820/FK2/KQX7BX</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Fakultas Informatika - Data Science">Mikogizka Satria Kartika</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><contact affiliation="Fakultas Informatika - Data Science" email="gizkamiko@student.telkomuniversity.ac.id">Nama Lengkap Mikogizka Satria Kartikatanpa gelar</contact><depositr>Kartika, Mikogizka Satria</depositr><depDate>2023-06-22</depDate></distStmt></citation><stdyInfo><subject><keyword>Computer and Information Science</keyword></subject><abstract date="2023-06-21">This dataset was used to train and build a model that used to build the Drawing Apps For Kids web app. This dataset was compiled as two-dimensional graphics of the numbers 0 to 9 that were manually written using the Paint program. Each data class's 200 images have a varied resolution, making up a total of 2000 images in the collected datan umum penelitian</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr><otherMat ID="f11060" URI="https://doi.org/10.34820/FK2/KQX7BX/R1V6HZ" level="datafile"><labl>alldata.rar</labl><txt>All dataset</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-rar-compressed</notes></otherMat><otherMat ID="f11062" URI="https://doi.org/10.34820/FK2/KQX7BX/2YCECR" level="datafile"><labl>Test.rar</labl><txt>Test dataset</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-rar-compressed</notes></otherMat><otherMat ID="f11061" URI="https://doi.org/10.34820/FK2/KQX7BX/ATZ31K" level="datafile"><labl>Train.rar</labl><txt>Train dataset</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-rar-compressed</notes></otherMat><otherMat ID="f11059" URI="https://doi.org/10.34820/FK2/KQX7BX/AYTOLB" level="datafile"><labl>Val.rar</labl><txt>Validation dataset</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-rar-compressed</notes></otherMat></codeBook>