Text Mining Based Process Identification and Business Process Mapping from Job Description Documents

• Autorzy: Astanti Ririn Diar , Switasarra Adelia Veneska

Identyfikatory

DOI

10.24425/mper.2024.149990

• Języki publikacji: EN

Abstrakty

EN

Business Process mapping (BP mapping) is important for a company to identify their activities. Previous research suggests several approaches for process identification and BP mapping, which would be easier if the company had already implemented a computer-based information system. The research presented in this paper has the purpose of providing an alternative method for BP mapping especially for the company that does not implement the computer-based information system. A proposed method is using job description documents that the company had to identify elements needed to perform BP mapping which are actor, process, document, and flow of documents. A Natural Language Process (NLP) which is text mining method is used for mining job documents to identify those elements that exist in each job position. To illustrate the applicability of the proposed method, samples of job descriptions of 15 companies are taken. It shows that the proposed method can be applied.

Słowa kluczowe

EN

process identification; business process mapping; job description document; NLP; text mining

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2024
• Tom: Vol. 15, No. 1
• Strony: 63--75
• Opis fizyczny: Bibliogr. 64 poz., rys., tab.

Twórcy

autor

Astanti Ririn Diar

• Department of Industrial Engineering, Universitas Atma Jaya Yogyakarta, Indonesia

autor

Switasarra Adelia Veneska

• Department of Industrial Engineering, Universitas Atma Jaya Yogyakarta, Indonesia

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