| dc.contributor.author | - | |
| dc.date.accessioned | 2025-10-02T04:40:09Z | |
| dc.date.available | 2025-10-02T04:40:09Z | |
| dc.date.issued | 2022-03-10 13:23:20+00:00 | |
| dc.identifier.issn | - | |
| dc.identifier.uri | 2772-5081 | |
| dc.identifier.uri | http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/34904 | |
| dc.description.abstract | - | |
| dc.format | - | |
| dc.language.iso | EN | |
| dc.publisher | Elsevier | |
| dc.relation.uri | ['https://www.journals.elsevier.com/digital-chemical-engineering', 'https://www.elsevier.com/journals/digital-chemical-engineering/2772-5081/guide-for-authors', 'https://www.elsevier.com/authors/open-access/choice#waivers'] | |
| dc.rights | ['CC BY', 'CC BY-NC-ND'] | |
| dc.subject | ['systems thinking', 'artificial intelligence', 'process control', 'process simulation', 'digital twins', 'industry 4', 'Chemical engineering', 'TP155-156', 'Information technology', 'T58.5-58.64'] | |
| dc.title | Digital Chemical Engineering | |
| dc.type | Article | |
| dc.identifier.oai | oai:doaj.org/journal:3b478b6cf11f43f5bfeeb29e74164de5 | |
| dc.journal.info | - | |
