<?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>Are Indonesian construction companies financially distressed? A prediction using artificial neural networks</titl><IDNo agency="DOI">doi:10.34820/FK2/2MZ443</IDNo></titlStmt><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><distDate>2024-03-28</distDate></distStmt><verStmt source="archive"><version date="2024-03-28" type="RELEASED">1</version></verStmt><biblCit>Kristanti, Farida Titik; Safriza, Zahra; Salim, Dwi Fitrizal, 2024, "Are Indonesian construction companies financially distressed? A prediction using artificial neural networks", https://doi.org/10.34820/FK2/2MZ443, Telkom University Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Are Indonesian construction companies financially distressed? A prediction using artificial neural networks</titl><IDNo agency="DOI">doi:10.34820/FK2/2MZ443</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Telkom University">Kristanti, Farida Titik</AuthEnty><AuthEnty affiliation="Telkom University">Safriza, Zahra</AuthEnty><AuthEnty affiliation="Telkom University">Salim, Dwi Fitrizal</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><contact affiliation="Telkom University" email="dwifitrizalslm@telkomuniversity.ac.id">Salim, Dwi Fitrizal</contact><depositr>Salim, Dwi Fitrizal</depositr><depDate>2024-03-28</depDate></distStmt></citation><stdyInfo><subject><keyword>Business and Management</keyword><keyword>ANN, distress, financial, model, prediction, financial statements, balance sheet</keyword></subject><abstract date="2023-04-06">Journal Scopus</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="f18149" URI="https://doi.org/10.34820/FK2/2MZ443/9MPTTL" level="datafile"><labl>Farida et al 2023.pdf</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat></codeBook>