The Jurnal Teknik Informatika C.I.T Medicom a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.

1. Expert systems
2. Decision Support System
3. Datamining
4. Artificial Intelligence

 

Acceptance Ratio:

Volume 13  Issue 1 (2021) 21%        
Volume 12  Issue 2 (2020) 33%      
Over All (Vol 1-13) 15%

 

Vol. 13 No. 1 (2021): March: Intelligent Decision Support System (IDSS)

Call for Paper

The Jurnal Teknik Informatika C.I.T Medicom a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.

1. Expert systems
2. Decision Support System
3. Datamining
4. Artificial Intelligence

Published: 2021-03-01

Accuracy in Identifying Rice Plant Diseases UsingMethod Fuzzy

Sri Handayani, Gunadi Widi Nurcahyo, Sumijan Sumijan

32-40

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Call For Paper Vol 13 No 1 March 2021

2020-09-18

Dear Jurnal Teknik Informatika C.I.T  contributors,

Call for Paper Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 1 March 2021 is free, We proudly announce that Jurnal Teknik Informatika C.I.T Medicom  is Accredited “Rank 4”(Peringkat 4) as a scientific journal under the decree of the Ministry of Research, Technology of the Republic of Indonesia, Decree No 148/M/KPT/2020, Augustus, 3th 2020, starting from Volume 10 No 2, 2018.

Therefore, we would like to invite you to contribute to Jurnal Teknik Informatika C.I.T  as a helpful research open-source by sending highly qualified paper.

Thank you

Abstracting & Indexing

2020-09-18

Jurnal Teknik Informatika C.I.T is abstracting & indexing in the following databases:

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Acceptance Ratio:

Volume 13  Issue 1 (2021) 21%          Volume 12  Issue  2 (2020) 33%    Over All (Vol 1-13) 15%    

 

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