Smart business accounting software as an android mobile application using artificial imtelligence

  • Eser Sahibi Okyay, Muhammet Serhat
  • Tez Danışmanı Aytuğ ONAN
  • Tür Yüksek Lisans
  • Yayın Tarihi 2018
  • Yayıncı İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü
  • Tek Biçim Adres Http://hdl.handle.net/11469/372

In this study, the necessary data obtained from the databases (such as MSSQL, Mysql, Postgre SQL, etc.) of the softwares like ETA and NETSİS that are used for preaccountancy of the local and global companies were read, some of the data were written to the databases, and this data was used by the end user by using mobile phones or tablets carrying Android operating systems and working with Internet and cloud technology. In addition, new data sets that are collected on a cloud system from the accounting data while the company is on was studied by genetic algorithms which are one of the artificial intelligence algorithms. Then, users were reported by the Application developed here to inform them about the company’s and its brach offices’ performances and making suggestions about such as financial budget estimation, fieldman area estimation, how to shape the workers investments. Our Applicationis worked on a system of local server, cloud server, mobile devices having Android operating system, and include a user interface and artificial intelligence working background. A model of forecasting of the sales characteristics of the sellers has been established through a model learning model based on the collected data. The generated genetic algorithm based classification model achieves % 88,33 performance.

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Eser Adı
(dc.title)
Smart business accounting software as an android mobile application using artificial imtelligence
Eser Sahibi
(dc.contributor.author)
Okyay, Muhammet Serhat
Tez Danışmanı
(dc.contributor.advisor)
Ayşegül ALAYBEYOĞLU
Tez Danışmanı
(dc.contributor.advisor)
Aytuğ ONAN
Yayıncı
(dc.publisher)
İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü
Tür
(dc.type)
Yüksek Lisans
Özet
(dc.description.abstract)
In this study, the necessary data obtained from the databases (such as MSSQL, Mysql, Postgre SQL, etc.) of the softwares like ETA and NETSİS that are used for preaccountancy of the local and global companies were read, some of the data were written to the databases, and this data was used by the end user by using mobile phones or tablets carrying Android operating systems and working with Internet and cloud technology. In addition, new data sets that are collected on a cloud system from the accounting data while the company is on was studied by genetic algorithms which are one of the artificial intelligence algorithms. Then, users were reported by the Application developed here to inform them about the company’s and its brach offices’ performances and making suggestions about such as financial budget estimation, fieldman area estimation, how to shape the workers investments. Our Applicationis worked on a system of local server, cloud server, mobile devices having Android operating system, and include a user interface and artificial intelligence working background. A model of forecasting of the sales characteristics of the sellers has been established through a model learning model based on the collected data. The generated genetic algorithm based classification model achieves % 88,33 performance.
Kayıt Giriş Tarihi
(dc.date.accessioned)
09.08.2018
Açık Erişim Tarihi
(dc.date.available)
2018-08-09
Yayın Tarihi
(dc.date.issued)
2018
Yayın Dili
(dc.language.iso)
eng
Tek Biçim Adres
(dc.identifier.uri)
Http://hdl.handle.net/11469/372
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