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DIAN PRATIWI

Universitas Trisakti S1 - Informatika SINTA ID : 5974359
1.787
SINTA Score Overall
654
SINTA Score 3Yr
1.787
Affil Score
654
Affil Score 3Yr
Latest number of publications
  Scopus Analysis  

Personality Type Analysis through Handwriting Characteristics Mapping using Invariant Moment Descriptors
Q2 Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi
Author Order : 1 of 4     Creator : Pratiwi D.
2023 0 cited
Study room lighting automation systems digital using arduino Uno
Q4 Journal AIP Conference Proceedings
Author Order : 3 of 3     Creator : Purwanto I.
2023 0 cited
ANALYSIS OF THE EFFECT OF FEATURE SELECTION ON THE HANDWRITING AUTHENTICITY CHECKING SYSTEM THROUGH FISHER SCORE AND LEARNING VECTOR QUANTIZATION
Q4 Journal Journal of Theoretical and Applied Information Technology
Author Order : 1 of 6     Creator : Pratiwi D.
2022 1 cited
Model Framework for Analysis and Visualization of Climate Disaster Patterns
Q4 Journal Indonesian Journal on Geoscience
Author Order : 1 of 1     Creator : Pratiwi D.
2022 1 cited
Handwriting Prediction Using the Support Vector Machine Method in Web-Based Applications
Q4 Journal AIP Conference Proceedings
Author Order : 2 of 6     Creator : Syaifudin
2022 1 cited
HANDWRITING PREDICTION with LEARNING VECTOR QUANTIZATION METHOD in MOBILE APPLICATION
Q3 Journal Journal of Theoretical and Applied Information Technology
Author Order : 1 of 6     Creator : Pratiwi D.
2021 2 cited
Handwritten security modeling based on cosine and inner product method
Q4 Journal Technology Reports of Kansai University
Author Order : 0 of 0     Creator : Syaifudin
2020 0 cited
Texture Traits with Uniform-Quantization in Handwriting Documents for Digital Forensics Investigation
Q3 Journal IOP Conference Series: Materials Science and Engineering
Author Order : 1 of 6     Creator : Pratiwi D.
2019 1 cited
Implementation of Inner Product to Analyze Digital Handwriting based on Texture Traits
Q3 Journal ACM International Conference Proceeding Series
Author Order : 3 of 5     Creator : Davin RP R.
2017 3 cited
Dengue Haemorrhagic Fever (DHF) severity detection by using neural network technique based on human blood components
Q3 Journal International Journal of Mechanical and Mechatronics Engineering
Author Order : 1 of 2     Creator : Pratiwi D.
2017 0 cited
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Summary

Article Quartile
Research Output
  Scopus GScholar WOS
Article 10 65 13
Citation 13 401 45
Cited Document 7 37 5
H-Index 3 12 2
i10-Index 2 12 1
G-Index 1 1 1
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