A5084810449- Rough Sets and Fuzzy Logic
- Data Mining Algorithms and Applications
- Fuzzy and Soft Set Theory
- Advanced Algebra and Logic
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
- Data Management and Algorithms
- Metaheuristic Optimization Algorithms Research
- Distributed and Parallel Computing Systems
- Advanced Clustering Algorithms Research
- Cloud Computing and Resource Management
- Multi-Criteria Decision Making
- Energy Load and Power Forecasting
- Stock Market Forecasting Methods
- Fuzzy Logic and Control Systems
- Distributed systems and fault tolerance
- Market Dynamics and Volatility
- Advanced Database Systems and Queries
- Recommender Systems and Techniques
- Online Learning and Analytics
- Face and Expression Recognition
- Data Stream Mining Techniques
- Digital Marketing and Social Media
- Anomaly Detection Techniques and Applications
- Advanced Data Storage Technologies
University of Brawijaya
2025
University of Malaya
2013-2024
Universitas PGRI Yogyakarta
2024
National Research and Innovation Agency
2024
Universitas Prasetiya Mulya
2022
Yogyakarta State University
2017-2021
Universitas Serambi Mekkah
2020
Indonesia Defense University
2020
Institut Seni Indonesia Yogyakarta
2019-2020
Airlangga University
2020
Anxiety is one of the major predictors academic performance. Students with anxiety disorder display a passive attitude in their studies such as lack interest learning, poor performance exams, and on assignments. This research observes relationship between study level students' The test to find out significant correlation was has carried among engineering students. A total 205 males females student participated this test. They were second year students from four faculties at Universiti...
The introduction of online social networks (OSN) has transformed the way people connect and interact with each other as well share information. OSN have led to a tremendous explosion network-centric data that could be harvested for better understanding interesting phenomena such sociological behavioural aspects individuals or groups. As result, network service operators are compelled publish use by third party consumers researchers advertisers. publication is vulnerable wide variety...
The success of a Wireless Sensor Network (WSN) deployment strongly depends on the quality service (QoS) it provides regarding issues such as data accuracy, aggregation delays and network lifetime maximisation. This is especially challenging in fusion mechanisms, where small fraction low input may negatively impact overall result. In this paper, we present fuzzy-based approach for WSN with aim increasing QoS whilst reducing energy consumption sensor network. proposed able to distinguish...
Research paper recommenders emerged over the last decade to ease finding publications relating researchers' area of interest. The challenge was not just provide researchers with very rich at any time, place and in form but also offer right publication researcher way. Several approaches exist handling recommender systems. However, these assumed availability whole contents recommending papers be freely accessible, which is always true due factors such as copyright restrictions. This presents a...
Various tests have been conducted using the State Trait Anxiety Inventory (STAI) and it has provided adequate evidence to measure anxiety in research clinical settings. This paper proposes a re-test evaluate STAI among engineering students Malaysia. A total 253 participated this study. The was presented for reliability, construct validity, coefficient correlation of Trait. reliability coefficients were computed Cronbach alpha. In order determine validity instrument used factor analysis used....
There has been a rapid growth of interest in developing approaches that are capable dealing with imprecision and uncertainty. To this end, an interval-valued fuzzy soft set (IVFSS) combines theory proposed to handle uncertainty applications such as decision-making problems. However, there little focus on parameter reduction the sets, which is significant In paper, we introduce four different definitions sets satisfy needs decision makers. We propose heuristic algorithms reduction. Finally,...
Approximately 2.5 quintillion bytes of data are emitted on a daily basis, and this has brought the world into era "big data." Artificial neural networks (ANNs) known for their effectiveness efficiency small datasets, big posed challenge to analytics using ANN. Recently, much research effort been devoted application ANN in is still ongoing, although it early stages. The purpose paper summarize recent progress, challenges, opportunities future research. This presents concise view state art,...