Arda Yunianta
Arda Yunianta
Assistant Professor of Information Systems, King Abdulaziz University and Mulawarman University
Verified email at - Homepage
Cited by
Cited by
Analysis and categorization of e-learning activities based on meaningful learning characteristics
A Yunianta, N Yusof, MS Othman, D Octaviani
World Academy of Science, Engineering and Technology 69, 811-816, 2012
An Evolutionary Deep Learning Anomaly Detection Framework for In-Vehicle Networks-CAN Bus
Y Lin, C Chen, F Xiao, O Avatefipour, K Alsubhi, A Yunianta
IEEE Transactions on Industry Applications, 2020
A traffic congestion framework for smart riyadh city based on iot services
HG Al-Majhad, A Bramantoro, I Syamsuddin, A Yunianta, AH Basori, ...
International Journal of Advanced Computer Science and Applications 9 (4 …, 2018
Semantic data mapping technology to solve semantic data problem on heterogeneity aspect
A Yunianta, OM Barukab, N Yusof, N Dengen, H Haviluddin, MS Othman
International Journal of Advances in Intelligent Informatics (IJAIN), 2017
Adaboost-multilayer perceptron to predict the student’s performance in software engineering
AFZ Abidin, MF Darmawan, MZ Osman, S Anwar, S Kasim, A Yunianta, ...
Bulletin of Electrical Engineering and Informatics 8 (4), 1556-1562, 2019
Semantic data mapping on E-learning usage index tool to handle heterogeneity of data representation
A Yunianta, N Yusof, MS Othman, A Aziz, N Dengen, M Ugiarto, ...
Jurnal Teknologi 69 (5), 2014
Ontology Development to Handle Semantic Relationship between Moodle E-learning and Question Bank System
A Yunianta, N Yusof, H Jayadianti, MS Othman, S Suhaimi
Recent Advances on Soft Computing and Data Mining, 691-701, 2014
OntoDI: The methodology for ontology development on data integration
A Yunianta, AH Basori, AS Prabuwono, A Bramantoro, I Syamsuddin, ...
Int. J. Adv. Comput. Sci. Appl. 10 (1), 160-168, 2019
Profound correlation of human and NAO-robot interaction through facial expression controlled by EEG sensor
AH Basori, MA Ahmed, YA PrabuwonoAS, A Bramantoro, I Syamsuddin, ...
International Journal of Advanced and Applied Science 5, 8, 2018
Modelling of network traffic usage using self-organizing maps techniques
A Yunianta, AH Kridalaksana, Z Arifin, B Kresnapati, F Rahman, ...
2016 2nd International Conference on Science in Information Technology …, 2016
Solving the complexity of heterogeneity data on learning environment using ontology
A Yunianta, MS Othman, N Yusof, LM Yusuf, NS Selamat
Telkomnika 13 (1), 341, 2015
Analysis and identification of data heterogeneity on learning environment using ontology knowledge
A Yunianta, N Yusof, A Aziz, N Dengen, MS Othman
Proceeding of the Electrical Engineering Computer Science and Informatics 1 …, 2014
Using Fuzzy Uncertainty Quantization and Hybrid RNN-LSTM Deep Learning Model for Wind Turbine Power
L Lin, M Li, L Ma, M Nazari, S Mahdavi, A Yunianta
IEEE Transactions on Industry Applications, 2020
Automated visual inspection for bottle caps using fuzzy logic
AS Prabuwono, W Usino, L Yazdi, AH Basori, A Bramantoro, ...
TEM Journal 8 (1), 107, 2019
Data mapping process to handle semantic data problem on student grading system
A Yunianta, N Yusof, A Bramantoro, H Haviluddin, MS Othman, N Dengen
International Journal of Advances in Intelligent Informatics (IJAIN), 2016
Estimation of Missing Values Using Hybrid Fuzzy Clustering Mean and Majority Vote for Microarray Data
SR Kumaran, MS Othman, LM Yusuf, A Yunianta
Procedia Computer Science 163, 145-153, 2019
Secured Data Transmission using Metadata Logger Manipulation Approach
A Wajiansyah, R Malani, A Yunianta, A Pratomo
2018 2nd East Indonesia Conference on Computer and Information Technology …, 2018
The ontology-based methodology phases to develop multi-agent system (OmMAS)
A Yunianta, OM Barukah, N Yusof, A Musdholifah, H Jayadiyanti, ...
2017 4th International Conference on Electrical Engineering, Computer …, 2017
Analysis and Identification the Complexity of Data Heterogeneity on Learning Environment Using Ontology
A Yunianta, MS Othman, N Yusof, LM Yusuf, J Juwairiah, NS Selamat
TELKOMNIKA (Telecommunication Computing Electronics and Control) 13 (1), 341-348, 2015
A novel hybrid deep correction approach for electrical load demand prediction
F Yu, Q Yue, A Yunianta, HMA Aljahdali
Sustainable Cities and Society 74, 103161, 2021
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