Publications
Research articles and scholarly works from SENADA-UGM Lab
Research Publications
Explore the scholarly works and research publications from the Software and Data Engineering Lab (SENADA) at Universitas Gadjah Mada. Our research spans multiple domains including medical informatics, privacy engineering, cybersecurity, natural language processing, augmented reality, and software engineering.
Use the filters below to browse publications by year or by specific faculty members. Click on faculty photos to see their research specializations.
158
Total Publications16
Years Covered11
Active Faculty2025
Latest PublicationSearch & Filter Publications
2025 (10 publications)
Enhancing Diesel Backup Power Forecasting With LSTM, GRU, and Autoencoder-based Input Encoding
Dewi NPNP, Leu Y, Mustofa K, Riasetiawan M
Jurnal Nasional Pendidikan Teknik Informatika - JANAPATI
14(1)
(2025)
This research presents advanced deep learning approaches for diesel backup power forecasting using LSTM, GRU, and autoencoder-based input encoding techniques to improve prediction accuracy for power management systems.
SENADA-UGM Faculty:
Toward manipulating user perceptions of objects by altering interaction sounds
Bustoni IA
University of Glasgow
(2025)
This research explores techniques for manipulating user perceptions of physical objects through strategic alteration of interaction sounds, investigating the impact of auditory feedback on tactile perception.
SENADA-UGM Faculty:
Robust Feature Management for Gaming Disorder Classification Using Modified Partial Instance Reduction and Fine-Tune Attribute-Weighted Naïve Bayes
Latubessy A, Winarko E, Musdholifah A, Kusrohmaniah S
Journal of Artificial Intelligence and Technology
(2025)
This research proposes robust feature management techniques for gaming disorder classification using modified partial instance reduction and fine-tuned attribute-weighted Naïve Bayes algorithms.
SENADA-UGM Faculty:
Indonesian Abstractive Text Summarization Using Stacked Embeddings and Transformer Decoder
Winarko E, Tanoto L, Reza MH
IAENG International Journal of Computer Science
52(4)
(2025)
This work presents an Indonesian abstractive text summarization approach using stacked embeddings and transformer decoder architecture to generate coherent summaries for Indonesian text.
SENADA-UGM Faculty:
INDOBERT embedding for flood detection in Indonesia
Purwaningsih T, Winarko E, Mustofa K
AIP Conference Proceedings
3248(1)
(2025)
This research applies INDOBERT embedding techniques for flood detection in Indonesia, utilizing natural language processing to identify flood-related information from Indonesian text sources.
SENADA-UGM Faculty:
CLEAR - Climate Policy Retrieval and Summarization Using LLMs
Wu Y, Ran K, Liu M, Cardilini APA, Nurwidyantoro A, Liu X
Companion Proceedings of the ACM on Web Conference 2025
(2025)
This work presents CLEAR, a system for climate policy retrieval and summarization using large language models to support environmental policy analysis and decision-making.
SENADA-UGM Faculty:
Venturing ChatGPT's lens to explore human values in software artifacts - a case study of mobile APIs
Mougouei D, Rafi S, Fahmideh M, Mougouei E, Khan JA, Dam HK, Nurwidyantoro A
Behaviour and Information Technology
(2025)
This study explores the application of ChatGPT for analyzing human values embedded in software artifacts, with a specific focus on mobile API design and implementation.
SENADA-UGM Faculty:
Enhanced Deep Learning Model to Detect Violence and Gore in Child-Friendly Online Game
Prestiliano J, Azhari A, Nurwidyantoro A
International Journal of Intelligent Engineering & Systems
18(1)
(2025)
This research develops an enhanced deep learning model specifically designed to detect violence and gore content in online games to ensure child-friendly gaming environments.
SENADA-UGM Faculty:
Strategies to Embed Human Values in Mobile Apps - What do End-Users and Practitioners Think?
Shams RA, Shahin M, Oliver G, Whittle J, Hussain W, Perera H, Nurwidyantoro A
2025 IEEE/ACM 47th International Conference on Software Engineering
(2025)
This study investigates strategies for embedding human values in mobile application development through empirical research with end-users and software practitioners, providing insights into values-aware mobile app design.
SENADA-UGM Faculty:
Fast Healthcare Interoperability Resources (FHIR)–Based Interoperability Design in Indonesia - Content Analysis of Developer Hub's Social Networking Service
Heryawan L, Mori Y, Yamamoto G, Kume N, Lazuardi L, Fuad A, Kuroda T
JMIR Formative Research
9:e51270
(2025)
This study analyzes FHIR-based interoperability design in Indonesia through content analysis of developer hub social networking services, addressing healthcare data standardization and exchange challenges in Indonesian healthcare systems.
SENADA-UGM Faculty:
2024 (22 publications)
Requirements Engineering Quality - a Literature Review
Delima R, Mustofa K
Jurnal Nasional Pendidikan Teknik Informatika - JANAPATI
13(2):225-233
(2024)
This literature review examines the current state of requirements engineering quality, analyzing methodologies, tools, and best practices for improving software requirements specification and validation processes.
SENADA-UGM Faculty:
Exploring the Alteration and Masking of Everyday Noise Sounds using Auditory Augmented Reality
Bustoni IA, McGill M, Brewster SA
Proceedings of the 26th International Conference on Multimodal Interaction
(2024)
This study investigates the use of auditory augmented reality for altering and masking everyday noise sounds, exploring applications for enhanced user experience in multimodal interaction contexts.
SENADA-UGM Faculty:
The Perception of a Tap Using Auditory Augmented Reality to Alter the Contact Properties of a Physical Object
Bustoni IA, McGill M, Brewster S
ACM Transactions on Computer-Human Interaction
(2024)
This research demonstrates how auditory augmented reality can be used to alter users' perceptions of contact properties when interacting with physical objects, investigating the relationship between auditory and tactile feedback.
SENADA-UGM Faculty:
EiAP-BC - A Novel Emoji Aware Inter-Attention Pair Model for Contextual Spam Comment Detection Based on Posting Text
Chrismanto AR, Winarko E, Suyanto Y
ACM Transactions on Asian and Low-Resource Language Information Processing
(2024)
This work presents EiAP-BC, a novel emoji-aware inter-attention pair model for contextual spam comment detection, incorporating emoji semantics into text-based spam classification.
SENADA-UGM Faculty:
Benchmarking ontology validation capabilities of llms
Tsaneva S, Herwanto GB, Sabou M
The Semantic Web-ISWC
(2024)
This research benchmarks the capabilities of large language models in validating ontologies, providing insights into their effectiveness for semantic web knowledge engineering tasks.
SENADA-UGM Faculty:
Ontology Corpora for LLM-based Knowledge Engineering Research
Herwanto G, Tsaneva S, Sabou M
Proceedings of the Special Session on Harmonising Generative AI and Semantic Technologies
(2024)
This work presents ontology corpora designed to support knowledge engineering research using large language models, bridging the gap between generative AI and semantic technologies.
SENADA-UGM Faculty:
Semantic Knowledge Management for Materials - the benefits of a FAIR data and model-based approach in industrial research and development
Adamovic N, Bleken F, Calvio A, Cantrill V, Beber VC, Courtney S, Herwanto GB
Materials Research Conference
(2024)
This study demonstrates the benefits of FAIR (Findable, Accessible, Interoperable, Reusable) data and model-based approaches in industrial materials research and development using semantic knowledge management.
SENADA-UGM Faculty:
Integrating Contextual Integrity in Privacy Requirements Engineering - A Study Case in Personal E-Health Applications
Herwanto GB, Putri DUK, Ningtyas AM, Fuad A, Quirchmayr G, Tjoa AM
International Conference on Innovations for Community Services
237-256
(2024)
This research integrates contextual integrity theory into privacy requirements engineering, with a specific focus on personal e-health applications to ensure comprehensive privacy protection.
SENADA-UGM Faculty:
Automating data flow diagram generation from user stories using large language models
Herwanto GB
7th Workshop on Natural Language Processing for Requirements Engineering
(2024)
This work presents an automated approach for generating data flow diagrams from user stories using large language models, streamlining the requirements engineering process.
SENADA-UGM Faculty:
Learning to Rank Privacy Design Patterns - A Semantic Approach to Meeting Privacy Requirements
Herwanto GB, Quirchmayr G, Tjoa AM
International Working Conference on Requirements Engineering - Foundation for Software Quality
(2024)
This research proposes a semantic approach for learning to rank privacy design patterns, enabling better selection of appropriate patterns to meet specific privacy requirements.
SENADA-UGM Faculty:
Toward a Holistic Privacy Requirements Engineering Process - Insights From a Systematic Literature Review
Herwanto GB, Ekaputra FJ, Quirchmayr G, Tjoa AM
IEEE Access
12:47518-47542
(2024)
This systematic literature review provides insights toward developing a holistic privacy requirements engineering process, identifying gaps and opportunities in current approaches.
SENADA-UGM Faculty:
Leveraging NLP techniques for privacy requirements engineering in user stories
Herwanto GB, Quirchmayr G, Tjoa AM
IEEE Access
12:22167-22189
(2024)
Development of a machine learning-based approach for identifying privacy requirements in an agile software development environment, employing natural language processing (NLP) techniques to address challenges in privacy engineering methodologies.
SENADA-UGM Faculty:
Exploring the Alteration and Masking of Everyday Noise Sounds using Auditory Augmented Reality
Bustoni IA, McGill M, Brewster SA
ICMI '24 - 26th International Conference on Multimodal Interaction
(2024)
This research explores how auditory augmented reality can be used to alter and mask everyday noise sounds, investigating the manipulation of user perceptions through augmented interaction sounds.
SENADA-UGM Faculty:
Detecting sarcasm in public opinion about COVID-19 using NBC and RBF
Priyatna S
Conference Paper
(2024)
This study presents methods for detecting sarcasm in public opinion about COVID-19 using Naive Bayes Classifier and Radial Basis Function approaches for sentiment analysis.
SENADA-UGM Faculty:
The ICS-SEC KG - An Integrated Cybersecurity Resource for Industrial Control Systems
Kurniawan K, Kiesling E, Winkler D, Ekelhart A
International Semantic Web Conference (ISWC)
(2024)
This work presents the ICS-SEC KG, a comprehensive knowledge graph that integrates cybersecurity resources specifically designed for Industrial Control Systems, enhancing threat intelligence and security analysis in industrial environments.
SENADA-UGM Faculty:
CyKG-RAG - Towards knowledge-graph enhanced retrieval augmented generation for cybersecurity
Kurniawan K, Kiesling E, Ekelhart A
International Semantic Web Conference (ISWC)
(2024)
This research introduces CyKG-RAG, a novel approach that enhances retrieval augmented generation systems with cybersecurity knowledge graphs to improve automated threat intelligence and security analysis.
SENADA-UGM Faculty:
Managing Human-AI Collaborations within Industry 5.0 Scenarios via Knowledge Graphs - Key Challenges and Lessons Learned
Moser BA, Krause F, Paulheim H, Kiesling E, Kurniawan K, Leva MC
Frontiers in Artificial Intelligence
7:1247712
(2024)
This study explores the management of human-AI collaborations in Industry 5.0 scenarios using knowledge graphs, identifying key challenges and providing insights for effective implementation.
SENADA-UGM Faculty:
Empowering Digital Humanism in Smart Built Environments through SOLID Data Spaces
Anjomshoaa A, Kurniawan K, Mahdavi A
Solid Symposium 2024
(2024)
This work explores how SOLID data spaces can empower digital humanism in smart built environments, addressing data sovereignty and privacy concerns in IoT-enabled buildings.
SENADA-UGM Faculty:
Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry
Heinzl B, Silvina A, Krause F, Schwarz N, Kurniawan K, Kiesling E
Software Quality as a Foundation for Security. SWQD 2024
505
(2024)
This research investigates the integration of knowledge graphs into process-oriented human-AI collaboration systems in industrial settings, focusing on improving workflow efficiency and decision-making.
SENADA-UGM Faculty:
Web-based Software Development for Complementary Feeding Recommendation System (EasyMPASI) Using Rule-Based Reasoning
Salsabila A, Heryawan L, Amalia E, Siagian D, Ongan RH
2024 International Conference on Computer, Control, Informatics and its Applications
(2024)
This work presents EasyMPASI, a web-based complementary feeding recommendation system using rule-based reasoning to support infant nutrition and feeding guidelines for healthcare providers and parents.
SENADA-UGM Faculty:
Medical Record Document Search with TF-IDF and Vector Space Model (VSM)
Heryawan L, Novitaningrum D, Nastiti KR, Mahmudah SN
International Journal on Advanced Science, Engineering and Information Technology
(2024)
This research implements TF-IDF and Vector Space Model for efficient medical record document search, improving information retrieval capabilities in electronic health record systems.
SENADA-UGM Faculty:
Tantangan Interoperabilitas Rekam Medis - Studi Kasus Di Rumah Sakit Singaparna Medika Citrautama
Wahyuni I, Heryawan L, Sanjaya GY, Prabowo T
Jurnal Manajemen Kesehatan Indonesia
12(3):229-238
(2024)
This case study examines medical record interoperability challenges at Singaparna Medika Citrautama Hospital, identifying barriers and solutions for healthcare data integration in Indonesian hospitals.
SENADA-UGM Faculty:
2023 (24 publications)
Analysis Of Factors Affecting The Use Of Smartphone Digital Applications By Tourists In Yogyakarta When Traveling In The New Normal Period
Pramusita A, Priyambodo TK, Mustofa K, Arymami D
Journal of Social Science (JoSS)
2(10):943-957
(2023)
This study analyzes factors influencing tourist adoption of smartphone digital applications during travel in Yogyakarta in the new normal period, examining user behavior and technology acceptance patterns.
SENADA-UGM Faculty:
Automatic requirements engineering - Activities, methods, tools, and domains–a systematic literature review
Delima R, Mustofa K, Sari AK
Jurnal RESTI-Rekayasa Sistem dan Teknologi Informasi
7(3):564-578
(2023)
This systematic literature review examines automatic requirements engineering approaches, analyzing current activities, methods, tools, and application domains in automated requirements specification and validation.
SENADA-UGM Faculty:
Integrating human values in software development using a human values dashboard
Nurwidyantoro A, Shahin M, Chaudron M, Hussain W, Perera H
Empirical Software Engineering
28(3):67
(2023)
This research presents a human values dashboard approach for systematically integrating human values considerations into software development processes and decision-making.
SENADA-UGM Faculty:
Investigating end-users' values in agriculture mobile applications development - An empirical study on Bangladeshi female farmers
Shams RA, Shahin M, Oliver G, Perera H, Whittle J, Nurwidyantoro A, Hussain W
Journal of Systems and Software
200:111648
(2023)
This empirical study investigates end-user values in agriculture mobile applications development through research with Bangladeshi female farmers, providing insights into culturally-sensitive agricultural technology design.
SENADA-UGM Faculty:
Using Linguistic and Stylometric Features for Satirical News Detection in Bahasa Indonesia
Sari Y, Hastuti RP, Herwanto GB
2023 International Conference on Computer, Control, Informatics and its Applications
(2023)
This research explores the use of linguistic and stylometric features for detecting satirical news in Bahasa Indonesia, addressing misinformation challenges in Indonesian media landscape.
SENADA-UGM Faculty:
Towards A Knowledge Graph-based Exploratory Search for Privacy Engineering
Herwanto GB, Ekaputra FJ, Piroi F, Sabou M
VOILA@ISWC
49-56
(2023)
This research proposes a knowledge graph-based Exploratory Search system to help organizations complete privacy engineering tasks by combining semantic web technologies with privacy engineering methodologies.
SENADA-UGM Faculty:
Towards A Knowledge Graph-based Framework for Integrated Security and Safety Analysis in Digital Production Systems
Kropatschek S, Kurniawan K, Hollerer S, Bhosale PR, Kiesling E
International Semantic Web Conference (ISWC) 2023
(2023)
This work proposes a knowledge graph-based framework for integrating security and safety analysis in digital production systems, enabling comprehensive risk assessment and mitigation strategies.
SENADA-UGM Faculty:
On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs
Krause F, Kurniawan K, Kiesling E, Paulheim H, Polleres A
Knowledge Graphs and Semantic Web
97-105
(2023)
This research explores the representation of dynamic BPMN process executions in knowledge graphs, providing a foundation for process-aware knowledge management and analysis.
SENADA-UGM Faculty:
Examining the Adoption of Knowledge Graphs in the Manufacturing Industry - A Comprehensive Review
Martinez-Gil J, Hoch T, Pichler M, Heinzl B, Moser B, Kurniawan K
Artificial Intelligence in Manufacturing - Enabling Intelligent, Flexible and Connected Manufacturing
(2023)
This comprehensive review examines the adoption of knowledge graphs in the manufacturing industry, analyzing current trends, challenges, and opportunities for intelligent manufacturing systems.
SENADA-UGM Faculty:
Leveraging Semantic Representations via Knowledge Graph Embeddings
Krause F, Kurniawan K, Kiesling E, Martinez-Gil J, Hoch T, Pichler M
Artificial Intelligence in Manufacturing - Enabling Intelligent, Flexible and Connected Manufacturing
(2023)
This work explores the use of knowledge graph embeddings to leverage semantic representations in manufacturing contexts, improving data integration and decision-making processes.
SENADA-UGM Faculty:
Enhancing Software User Interface Testing Through Few Shot Deep Learning - A Novel Approach for Automated Accuracy and Usability Evaluation
Widodo AP, Wibowo A, Kurniawan K
International Journal of Advanced Computer Science and Applications (IJACSA)
(2023)
This research presents a novel few-shot deep learning approach for enhancing software user interface testing, enabling automated evaluation of interface accuracy and usability.
SENADA-UGM Faculty:
Improving Cybersecurity through Semantic Log Monitoring, Analysis and Attack Reconstruction
Kurniawan K
PhD Thesis
(2023)
This thesis explores how semantic technologies can improve cybersecurity through enhanced log monitoring, analysis, and attack reconstruction capabilities using knowledge graphs and semantic reasoning.
SENADA-UGM Faculty:
Phishing Detection System Through Hybrid Machine Learning Based on URL
Karim A, Shahroz M, Belhaouari SB, Joga SRKJ, Mustofa K
IEEE Access
11:36805-36822
(2023)
This paper presents a comprehensive phishing detection system using hybrid machine learning approaches based on URL analysis to enhance cybersecurity measures.
SENADA-UGM Faculty:
Hate Speech Detection in Indonesian Twitter using Contextual Embedding Approach
Mujiyatna IG, Herwanto GB, Ningtyas AM, Trisna INP, Nugraha KE
Research Paper
(2023)
This research presents a contextual embedding approach for detecting hate speech in Indonesian Twitter content, addressing challenges in multilingual text processing and social media analysis.
SENADA-UGM Faculty:
Aspect-Based Sentiment Analysis on Indonesian Restaurant Review Using a Combination of Convolutional Neural Network and Contextualized Word Embedding
Amalia R, Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
(2023)
This study presents an aspect-based sentiment analysis approach for Indonesian restaurant reviews using advanced deep learning techniques combining CNN and contextualized word embeddings.
SENADA-UGM Faculty:
Modification of Stemming Algorithm Using A Non Deterministic Approach To Indonesian Text
Rifai M, Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
(2023)
This research proposes modifications to stemming algorithms for Indonesian text processing using non-deterministic approaches to improve accuracy in morphological analysis.
SENADA-UGM Faculty:
Fine-tuning BERT untuk menangani ambiguitas pada POS tagging bahasa Indonesia
Yazid AS, Winarko E
Jurnal Linguistik Komputasional (JLK)
6(2):57-64
(2023)
This research presents fine-tuning techniques for BERT to handle ambiguity in Indonesian POS tagging, improving accuracy in morphological analysis of Indonesian text.
SENADA-UGM Faculty:
Performance comparison of inertia weight and acceleration coefficients of BPSO in the context of high-utility itemset mining
Gunawan R, Winarko E, Pulungan R
Evolutionary Intelligence
16(3):943-961
(2023)
This study compares the performance of different inertia weight and acceleration coefficients configurations in Binary Particle Swarm Optimization for high-utility itemset mining applications.
SENADA-UGM Faculty:
Vectorization Method Based on High Correlation for Multivariate Time Series Hybrid Filter Wrapper Feature Selection
Rahajoe AD, Winarko E, Guritno S
ICIC Express Letters
17(4):471-478
(2023)
This research proposes a vectorization method based on high correlation for multivariate time series hybrid filter wrapper feature selection, improving time series analysis accuracy.
SENADA-UGM Faculty:
Rancang bangun aplikasi peramalan jumlah penumpang menggunakan Long Short-Term Memory (LSTM)
Davi M, Winarko E
Infotekmesin
14(02):303-310
(2023)
This work presents the design and development of a passenger forecasting application using Long Short-Term Memory (LSTM) neural networks for transportation demand prediction.
SENADA-UGM Faculty:
KESIAPAN PENERAPAN REGISTER IMUNISASI ELEKTRONIK NASIONAL DI PROVINSI BANTEN DAN MALUKU UTARA
Rahmadewi P, Heryawan L, Lazuardi L
Jurnal Kesehatan Masyarakat
11(4):406-417
(2023)
This study assesses the readiness for implementing the National Electronic Immunization Registry in Banten and North Maluku provinces, evaluating infrastructure, human resources, and policy requirements.
SENADA-UGM Faculty:
Klasifikasi Penyakit Tuberculosis (TB) Organ Paru Manusia Berdasarkan Citra Rontgen Thorax Menggunakan Metode Convolutional Neural Network (CNN)
Rasyid A, Heryawan L
Jurnal Manajemen Informasi Kesehatan Indonesia
11(1)
(2023)
This research develops a CNN-based tuberculosis classification system using chest X-ray images, supporting automated TB detection for improved diagnostic accuracy in Indonesian healthcare settings.
SENADA-UGM Faculty:
Information Retrieval for Early Detection of Disease Using Semantic Similarity
Aszani A, Wicaksono HI, Nadzima U, Heryawan L
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
17(1):45-54
(2023)
This study develops an information retrieval system for early disease detection using semantic similarity techniques, enabling proactive healthcare monitoring and intervention.
SENADA-UGM Faculty:
MANAJEMEN DAYA PADA SISTEM HPC MENGGUNAKAN METODE DEEP REINFORCEMENT LEARNING BERBASIS ADVANTAGE ACTOR-CRITIC
Rahmani F, Heryawan L, Amrizal MA
Universitas Gadjah Mada Thesis
(2023)
This thesis explores power management in HPC systems using deep reinforcement learning with Advantage Actor-Critic method, optimizing energy efficiency in high-performance computing environments.
SENADA-UGM Faculty:
2022 (29 publications)
LDSVM - Leukemia cancer classification using machine learning
Karim A, Azhari A, Shahroz M, Belhaouri SB, Mustofa K
Manara-Qatar Research Repository
(2022)
This research presents a machine learning approach using LDSVM (Linear Discriminant Support Vector Machine) for leukemia cancer classification, contributing to automated medical diagnosis systems.
SENADA-UGM Faculty:
An extended approach of weight collective influence graph for detection influence actor
Martono GH, Azhari A, Mustofa K
International Journal of Advances in Intelligent Informatics
8(1)
(2022)
This work presents an extended approach using weight collective influence graphs for detecting influential actors in social networks and complex systems.
SENADA-UGM Faculty:
The performance of personality-based recommender system for fashion with demographic data-based personality prediction
Paryudi I, Ashari A, Mustofa K
International Journal of Advanced Computer Science and Applications
13(1)
(2022)
This research evaluates personality-based recommender systems for fashion using demographic data to predict personality traits and improve recommendation accuracy.
SENADA-UGM Faculty:
Concerns for digital privacy in business and management - an overview and future discourses recommendation
Linando JA, Herwanto GB
Bulletin of Social Informatics Theory and Application
6(2):146-150
(2022)
This paper provides an overview of digital privacy concerns in business and management contexts, offering recommendations for future research discourses in this evolving field.
SENADA-UGM Faculty:
Leveraging wikipedia knowledge for distant supervision in medical concept normalization
Ningtyas AM, El-Ebshihy A, Herwanto GB, Piroi F, Hanbury A
International Conference of the Cross-Language Evaluation Forum for European Languages
(2022)
This research leverages Wikipedia knowledge for distant supervision in medical concept normalization, addressing challenges in biomedical text processing and concept mapping.
SENADA-UGM Faculty:
Privacystory - Tool support for extracting privacy requirements from user stories
Herwanto GB, Quirchmayr G, Tjoa AM
2022 IEEE 30th International Requirements Engineering Conference (RE)
264-265
(2022)
This work presents Privacystory, a tool that provides automated support for extracting privacy requirements from user stories, enhancing privacy-aware software development.
SENADA-UGM Faculty:
From user stories to data flow diagrams for privacy awareness - A research preview
Herwanto GB, Quirchmayr G, Tjoa AM
International Working Conference on Requirements Engineering - Foundation for Software Quality
(2022)
This research preview presents an approach for automatically generating data flow diagrams from user stories to enhance privacy awareness in software development.
SENADA-UGM Faculty:
An Intelligent Systems Approach for Supporting Privacy Awareness in Agile Software Development
Herwanto GB
REFSQ Workshops
(2022)
This work proposes an intelligent systems approach to support privacy awareness in agile software development environments, integrating automated privacy analysis tools.
SENADA-UGM Faculty:
How can human values be addressed in agile methods? a case study on safe
Hussain W, Shahin M, Hoda R, Whittle J, Perera H, Nurwidyantoro A, Shams RA, Oliver G
IEEE Transactions on Software Engineering
48(12):5158-5175
(2022)
This study investigates how human values can be effectively integrated into agile software development methodologies through a comprehensive case study on the Scaled Agile Framework (SAFe).
SENADA-UGM Faculty:
Knowledge graph supported machine parameterization for the injection moulding industry
Bachhofner S, Kurniawan K, Kiesling E, Revoredo K, Bayomie D
Iberoamerican Knowledge Graphs and Semantic Web Conference
106-120
(2022)
This work presents a knowledge graph-supported approach for machine parameterization in the injection molding industry, improving manufacturing process optimization and quality control.
SENADA-UGM Faculty:
KRYSTAL - Knowledge graph-based framework for tactical attack discovery in audit data
Kurniawan K, Ekelhart A, Kiesling E, Quirchmayr G, Tjoa AM
Computers & Security
121:102828
(2022)
KRYSTAL is a knowledge graph-based framework for tactical attack discovery in audit data, enabling advanced threat detection and cybersecurity analysis through semantic reasoning and pattern recognition.
SENADA-UGM Faculty:
Vlograph - a virtual knowledge graph framework for distributed security log analysis
Kurniawan K, Ekelhart A, Kiesling E, Winkler D, Quirchmayr G, Tjoa AM
Machine Learning and Knowledge Extraction
4(2)
(2022)
Vlograph is a virtual knowledge graph framework designed for distributed security log analysis, enabling scalable and efficient cybersecurity monitoring across distributed systems.
SENADA-UGM Faculty:
Analyzing Manufacturing Process By Enabling Process Mining on Sensor Data
Bayomie D, Revoredo K, Bachhofner S, Kurniawan K, Kiesling E
PoEM 2022 Workshops and Models
(2022)
This work enables process mining on sensor data to analyze manufacturing processes, providing insights into production efficiency and quality optimization through data-driven approaches.
SENADA-UGM Faculty:
A hybrid recommender system based on customer behavior and transaction data using generalized sequential pattern algorithm
Priyatna S
Article
(2022)
This research develops a hybrid recommender system that combines customer behavior analysis and transaction data using generalized sequential pattern algorithms to improve recommendation accuracy.
SENADA-UGM Faculty:
Operationalizing Human Values in Software Engineering - A Survey
Shahin M, Hussain W, Nurwidyantoro A, Perera H, Shams R, Grundy J
IEEE Access
(2022)
This survey paper provides a comprehensive overview of approaches for operationalizing human values in software engineering processes, practices, and tools.
SENADA-UGM Faculty:
Human values in software development artefacts - A case study on issue discussions in three Android applications
Nurwidyantoro A, Shahin M, Chaudron MRV, Hussain W, Shams R
Information and Software Technology
(2022)
This case study examines how human values are embedded and discussed in software development artifacts, focusing on issue discussions in Android applications.
SENADA-UGM Faculty:
Role stereotypes in software designs and their evolution
Ho-Quang T, Nurwidyantoro A, Rukmono SA, Chaudron MRV, Fröding F
Journal of Systems and Software
(2022)
This research investigates role stereotypes present in software designs and how they evolve over time, addressing diversity and inclusion challenges in software engineering.
SENADA-UGM Faculty:
Evaluating the layout quality of UML class diagrams using machine learning
Bergström G, Hujainah F, Ho-Quang T, Jolak R, Rukmono SA, Nurwidyantoro A
Journal of Systems and Software
(2022)
This study applies machine learning techniques to automatically evaluate and improve the layout quality of UML class diagrams, supporting better software design practices.
SENADA-UGM Faculty:
Product image retrieval using category-aware siamese convolutional neural network feature
Rahman A, Winarko E, Mustofa K
Journal of King Saud University - Computer and Information Sciences
34(6A):2680-2687
(2022)
This research proposes a novel approach for product image retrieval using category-aware siamese convolutional neural networks to improve feature extraction and matching accuracy.
SENADA-UGM Faculty:
Inverter DC-AC 3 Phase SPWM Based on ATMega16 Microcontroller
Medi M
Technical Report
(2022)
This technical project presents the design and implementation of a three-phase DC-AC inverter using SPWM technique based on ATMega16 microcontroller for power electronics applications.
SENADA-UGM Faculty:
Context-Aware Recommendation System Survey - Recommendation When Adding Contextual Information
Winarko E, Heryawan L
2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering
(2022)
This survey examines context-aware recommendation systems, analyzing how contextual information enhances recommendation accuracy and user experience across various domains.
SENADA-UGM Faculty:
A hybrid recommender system based on customer behavior and transaction data using generalized sequential pattern algorithm
Somya R, Winarko E, Priyanta S
Bulletin of Electrical Engineering and Informatics
11(6):3422-3432
(2022)
This research develops a hybrid recommender system combining customer behavior analysis and transaction data using generalized sequential pattern algorithms to improve recommendation accuracy.
SENADA-UGM Faculty:
Emotion Detection on Indonesian Tweets Using CNN and Contextualized Word Embedding
Heldiansyah MF, Winarko E
2022 International Conference on Data and Software Engineering (ICoDSE)
53-58
(2022)
This work presents emotion detection techniques for Indonesian tweets using Convolutional Neural Networks and contextualized word embeddings for social media sentiment analysis.
SENADA-UGM Faculty:
GN-PPN - Parallel Girvan-Newman-Based Algorithm to Detect Communities in Graph with Positive and Negative Weights
Sulistianingsih N, Winarko E, Sari AK
International Journal of Intelligent Engineering & Systems
15(6)
(2022)
This research proposes GN-PPN, a parallel Girvan-Newman-based algorithm for detecting communities in graphs with both positive and negative weights, improving community detection accuracy.
SENADA-UGM Faculty:
Classifying natural disaster tweet using a convolutional neural network and BERT embedding
Dharma LSA, Winarko E
2022 2nd international conference on information technology and education
(2022)
This study develops natural disaster tweet classification using convolutional neural networks and BERT embeddings for emergency response and disaster management applications.
SENADA-UGM Faculty:
Comparison of machine learning and deep learning model for medical subject headings indexation
Heryawan L, Bukhori A
Proceedings of the 2022 International Conference on Computer, Control, Informatics and its Applications
(2022)
This study compares machine learning and deep learning approaches for Medical Subject Headings (MeSH) indexation, evaluating their effectiveness in automated medical literature classification.
SENADA-UGM Faculty:
Deep learning and machine learning model comparison for diagnosis detection from medical records
Heryawan L, Febriansyah F, Bukhori A
Proceedings of the 2022 International Conference on Computer, Control, Informatics and its Applications
(2022)
This research compares deep learning and machine learning models for automated diagnosis detection from medical records, assessing their accuracy and clinical applicability.
SENADA-UGM Faculty:
Persepsi Dokter Klinik Dalam Menggunakan Rekam Medis Elektronik Berbasis Cloud Computing - Survei Penggunaan rekmed.com
Choironi EA, Heryawan L
Jurnal Ilmiah Informatika Global
13(3)
(2022)
This study surveys clinical doctors' perceptions of using cloud-based electronic medical records through rekmed.com, analyzing adoption barriers and benefits in Indonesian healthcare practice.
SENADA-UGM Faculty:
An Automatic Data Mapping for Interoperability of OpenEMR Medical Practice Management Software Using the Fast Healthcare Interoperability Resources
Sujudi HM, Heryawan L
Advanced Biomedical Engineering
11:186-193
(2022)
This work develops automatic data mapping for OpenEMR interoperability using FHIR standards, enabling seamless healthcare data exchange between different medical practice management systems.
SENADA-UGM Faculty:
2021 (17 publications)
Automatic Requirements Engineering Model using Goal-Oriented Modelling with Text Pre-Processing Technique
Delima R, Wardoyo R, Mustofa K
2021 Sixth International Conference on Informatics and Computing (ICIC)
1-8
(2021)
This research presents an automatic requirements engineering model that combines goal-oriented modeling with text pre-processing techniques to improve software requirements extraction and specification processes.
SENADA-UGM Faculty:
High-Utility Association Rules Mining Based-on Binary Particle Swarm Optimization
Gunawan R, Winarko E, Pulungan R
International Conference on Innovation in Science and Technology (ICIST 2021)
(2021)
This research presents a binary particle swarm optimization approach for high-utility association rules mining, improving efficiency in discovering valuable patterns from transactional data.
SENADA-UGM Faculty:
Building Natural Language Understanding System from User Manual to Execute Office Application Functions
Cherid A, Winarko E, Sadikin M, Reno A
2021 1st International Conference on Computer Science and Artificial Intelligence
(2021)
This work develops a natural language understanding system that translates user manual instructions into executable office application functions using NLP techniques.
SENADA-UGM Faculty:
Traffic event detection from Twitter using a combination of CNN and BERT
Neruda GA, Winarko E
2021 International Conference on Advanced Computer Science and Information Systems
(2021)
This study presents traffic event detection from Twitter data using a combination of Convolutional Neural Networks and BERT for real-time traffic monitoring and management.
SENADA-UGM Faculty:
A Novel Approach to Collect and Analyze Market Customer Behavior Data on Online Shop
Somya R, Winarko E, Priyanta S
2021 2nd International Conference on Innovative and Creative Information Technology
(2021)
This research proposes novel approaches for collecting and analyzing customer behavior data in online shopping environments using advanced data mining techniques.
SENADA-UGM Faculty:
Multi prime numbers principle to expand implementation of CRT method on RSA algorithm
Hermawan NTE, Winarko E, Ashari A
AIP Conference Proceedings
2331(1):060009
(2021)
This work expands the implementation of the Chinese Remainder Theorem method on RSA algorithm using multi prime numbers principle for enhanced cryptographic security.
SENADA-UGM Faculty:
Eight Prime Numbers of Modified RSA Algorithm Method for More Secure Single Board Computer Implementation
Hermawan NTE, Winarko E, Ashari A
International Journal on Advanced Science, Engineering and Information Technology
(2021)
This research presents a modified RSA algorithm using eight prime numbers for enhanced security in single board computer implementations.
SENADA-UGM Faculty:
Education Question Answering Systems - A Survey
Soares TG, Azhari A, Rokhman N, Winarko E
International MultiConference of Engineers and Computer Scientists (IMECS) 2021
(2021)
This survey provides a comprehensive overview of education question answering systems, analyzing current approaches and challenges in automated educational assistance.
SENADA-UGM Faculty:
Design and prototype of TOMO - an app for improving drug resistant TB treatment adherence
Fuad A, Herwanto GB, Pertiwi AAP, Wahyuningtias SD, Harsini H
F1000Research
10:983
(2021)
This research presents the design and prototype of TOMO, a mobile application designed to improve treatment adherence for drug-resistant tuberculosis patients through digital health interventions.
SENADA-UGM Faculty:
A named entity recognition based approach for privacy requirements engineering
Herwanto GB, Quirchmayr G, Tjoa AM
2021 IEEE 29th International Requirements Engineering Conference Workshops
(2021)
This work proposes a named entity recognition-based approach for automatically identifying and extracting privacy requirements from software documentation, enhancing privacy engineering processes.
SENADA-UGM Faculty:
Hate Speech Detection in Indonesian Twitter using Contextual Embedding Approach
Herwanto GB, Ningtyas AM, Mujiyatna IG, Nugraha KE, Trisna INP
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
15(2):177-188
(2021)
This research presents a contextual embedding approach for detecting hate speech in Indonesian Twitter content, addressing challenges in multilingual text processing and social media analysis.
SENADA-UGM Faculty:
Knowledge Graph Modularization for Cyber-Physical Production Systems
Bachhofner S, Kiesling E, Kurniawan K, Sallinger E, Waibel P
International Semantic Web Conference (ISWC) 2021
(2021)
This work presents knowledge graph modularization techniques specifically designed for cyber-physical production systems, enabling scalable and maintainable semantic representations of manufacturing environments.
SENADA-UGM Faculty:
An ATT&CK-KG for Linking Cybersecurity Attacks to Adversary Tactics and Techniques
Kurniawan K, Ekelhart A, Kiesling E
International Semantic Web Conference (ISWC 2021)
(2021)
This work presents a knowledge graph approach for mapping cybersecurity attacks to adversary tactics and techniques using the MITRE ATT&CK framework, enhancing threat intelligence and security analysis capabilities.
SENADA-UGM Faculty:
Virtual knowledge graphs for federated log analysis
Kurniawan K, Ekelhart A, Kiesling E, Winkler D, Quirchmayr G, Tjoa AM
Proceedings of the 16th International Conference on Availability, Reliability and Security
(2021)
This work introduces virtual knowledge graphs for federated log analysis, enabling distributed cybersecurity monitoring and analysis across heterogeneous systems while preserving data locality and privacy.
SENADA-UGM Faculty:
Towards a Human Values Dashboard for Software Development - An Exploratory Study
Nurwidyantoro A, Shahin M, Chaudron M, Hussain W, Perera H
Proceedings of the 15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
(2021)
This exploratory study presents the initial development and evaluation of a human values dashboard designed to support software development teams in making values-aware decisions.
SENADA-UGM Faculty:
An Electronic Medical Records' Keywords Detection Using Supervised Learning for Supporting Medical Coding
Heryawan L, Febriansyah F
Proceedings of the 2021 International Conference on Computer, Control, Informatics and its Applications
(2021)
This research develops a supervised learning approach for keyword detection in electronic medical records to support automated medical coding and classification processes.
SENADA-UGM Faculty:
Medical Subject Headings (MeSH) Indexing Using Unsupervised Learning for Low-resource Controlled Vocabulary
Heryawan L, Subiantoro A
Proceedings of the 2021 International Conference on Computer, Control, Informatics and its Applications
(2021)
This work applies unsupervised learning techniques for MeSH indexing in low-resource controlled vocabulary environments, addressing challenges in multilingual medical literature indexing.
SENADA-UGM Faculty:
2020 (24 publications)
Classification methods performance on human activity recognition
Bustoni IA, Hidayatulloh I, Ningtyas AM, Purwaningsih A, Azhari SN
Journal of Physics Conference Series
1456 (1), 012027
(2020)
This study compares various classification methods for human activity recognition, evaluating their performance in identifying and classifying different types of human activities using sensor data.
SENADA-UGM Faculty:
Metode Boost-K-means untuk Clustering Puskesmas berdasarkan Persentase Bayi yang Diimunisasi
Abdullah AI, Winarko E, Musdholifah A
JRST (Jurnal Riset Sains dan Teknologi)
4(2):89-96
(2020)
This research proposes the Boost-K-means method for clustering community health centers based on immunization percentages of infants, improving health service planning and resource allocation.
SENADA-UGM Faculty:
Survey of data mining techniques for intrusion detection systems
Cahyo AN, Winarko E, Musdholifah A
2020 Fifth International Conference on Informatics and Computing (ICIC)
1-8
(2020)
This survey examines data mining techniques applied to intrusion detection systems, analyzing various approaches for network security and threat detection.
SENADA-UGM Faculty:
Data mining for student assessment in e-learning - A survey
Yuniarti WD, Winarko E, Musdholifah A
2020 Fifth International Conference on Informatics and Computing (ICIC)
1-6
(2020)
This survey reviews data mining techniques for student assessment in e-learning environments, focusing on learning analytics and educational data mining approaches.
SENADA-UGM Faculty:
Modeling of Personality Traits based on Demographic Data on Multi-Races Samples of Ages from 13 to 50 Years Old - Investigating the Effect of Race on Model
Paryudi I, Winarko E, Priyanta S, Nursari SRC
2020 6th International Conference on Science and Technology (ICST)
1:1-6
(2020)
This research investigates personality trait modeling based on demographic data across multi-racial samples, examining the effect of race on personality prediction models.
SENADA-UGM Faculty:
Satellite Imagery and Machine Learning for Aridity Disaster Classification using Vegetation Indices
Prasetyo SYJ, Hartomo KD, Paseleng MC, Chandra DW, Winarko E
Bulletin of Electrical Engineering and Informatics
9(3):1149-1158
(2020)
This study applies satellite imagery and machine learning techniques for aridity disaster classification using vegetation indices for environmental monitoring and disaster management.
SENADA-UGM Faculty:
A BPSO-based method for high-utility itemset mining without minimum utility threshold
Gunawan R, Winarko E, Pulungan R
Knowledge-Based Systems
190:105164
(2020)
This research presents a Binary Particle Swarm Optimization method for high-utility itemset mining that operates without requiring a minimum utility threshold, improving mining flexibility.
SENADA-UGM Faculty:
A Survey on Multimodal Information Retrieval Approach
Rusnandi E, Winarko E, Azhari SN
2020 International Conference on Smart Technology and Applications (ICoSTA)
1-6
(2020)
This survey examines multimodal information retrieval approaches, analyzing techniques that combine multiple data modalities for enhanced search and retrieval systems.
SENADA-UGM Faculty:
Prediction of bitcoin price change using neural networks
Albariqi R, Winarko E
2020 international conference on smart technology and applications (ICoSTA)
1-4
(2020)
This study applies neural networks for Bitcoin price change prediction, contributing to cryptocurrency market analysis and financial forecasting using deep learning techniques.
SENADA-UGM Faculty:
Adwords Keyword Set Selection Decision Support System Using AHP and TOPSIS Method
Chandra SA, Winarko E, Priyanta S
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
14(2):135-146
(2020)
This research develops a decision support system for Adwords keyword selection using AHP and TOPSIS methods to optimize digital marketing campaigns.
SENADA-UGM Faculty:
Knowledge Graphs Evolution and Preservation--A Technical Report from ISWS 2019
Abbas N, Alghamdi K, Alinam M, Alloatti F, Amaral G, d'Amato C, Kurniawan K
arXiv preprint arXiv:2012.11936
(2020)
This technical report from ISWS 2019 provides insights into knowledge graph evolution and preservation challenges, addressing scalability, versioning, and maintenance of large-scale semantic knowledge bases.
SENADA-UGM Faculty:
The comparison of feature selection methods in software defect prediction
Adorada A, Wirawan PW, Kurniawan K
2020 4th International Conference on Informatics and Computational Sciences
(2020)
This study compares various feature selection methods for software defect prediction, analyzing their effectiveness in identifying relevant features for improving defect detection accuracy.
SENADA-UGM Faculty:
Blockchain technology implementation on medical records data management - a review of recent studies
Santoso DB, Fuad A, Herwanto GB, Maula AW
Jurnal Riset Kesehatan
9(2):107-112
(2020)
This review examines recent studies on blockchain technology implementation for medical records data management, analyzing benefits, challenges, and future directions in healthcare data security.
SENADA-UGM Faculty:
A Computer-mediated Support for Writing Medical Notes with Coder's Perspective
Heryawan L
Kyoto University PhD Thesis
(2020)
This PhD thesis explores computer-mediated support systems for medical note writing from a coder's perspective, developing intelligent assistance tools for clinical documentation.
SENADA-UGM Faculty:
Web Service for Search Engine Bahasa Indonesia (SEBI)
Suzanti IO, Pramudita YD, Putro SS, Heryawan L
Journal of Physics - Conference Series
1569(2):022087
(2020)
This work presents a web service for the Indonesian Language Search Engine (SEBI), developing specialized search capabilities for Bahasa Indonesia content and improving information retrieval in Indonesian.
SENADA-UGM Faculty:
A detection of informal abbreviations from free text medical notes using deep learning
Heryawan L, Sugiyama O, Yamamoto G, Khotimah PH, Santos LHO
European Journal of Biomedical Informatics (EJBI)
16(1):29-37
(2020)
This study presents a deep learning approach for detecting and standardizing informal abbreviations in free-text medical notes, addressing challenges in medical text processing and information extraction.
SENADA-UGM Faculty:
Toward Design of an Agent-based Writing Support System for the SOAP Note - A Content Analysis of the Video-based Survey
Heryawan L, Khotimah PH, Sugiyama O, Yamamoto G
Advanced Biomedical Engineering
9:146-153
(2020)
This research focuses on developing an agent-based writing support system for SOAP notes in medical informatics, utilizing content analysis to improve clinical documentation efficiency.
SENADA-UGM Faculty:
A study on the prevalence of human values in software engineering publications, 2015--2018
Perera H, Hussain W, Whittle J, Nurwidyantoro A, Mougouei D, Shams RA
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
(2020)
This study systematically analyzes the prevalence and treatment of human values in software engineering research publications over a four-year period.
SENADA-UGM Faculty:
Human values in software engineering - Contrasting case studies of practice
Hussain W, Perera H, Whittle J, Nurwidyantoro A, Hoda R, Shams RA
IEEE Transactions on Software Engineering
(2020)
This research presents contrasting case studies examining how human values are addressed in real-world software engineering practice across different organizational contexts.
SENADA-UGM Faculty:
Continual human value analysis in software development - A goal model based approach
Perera H, Mussbacher G, Hussain W, Shams RA, Nurwidyantoro A
2020 IEEE 28th International Requirements Engineering Conference (RE)
192-203
(2020)
This work proposes a goal model-based approach for continual analysis and integration of human values throughout software development lifecycles.
SENADA-UGM Faculty:
Society-oriented applications development - Investigating users' values from bangladeshi agriculture mobile applications
Shams RA, Hussain W, Oliver G, Nurwidyantoro A, Perera H, Whittle J
2020 IEEE/ACM 42nd International Conference on Software Engineering
(2020)
This research investigates user values from Bangladeshi agriculture mobile applications to inform society-oriented application development practices and culturally-sensitive design approaches.
SENADA-UGM Faculty:
Measuring Bangladeshi Female Farmers' Values for Agriculture Mobile Applications Development
Shams RA, Shahin M, Oliver G, Hussain W, Perera H, Nurwidyantoro A, Whittle J
Proceedings of the 54th Hawaii International Conference on System Sciences
(2020)
This study measures values held by Bangladeshi female farmers to inform the development of culturally-appropriate agriculture mobile applications and technology solutions.
SENADA-UGM Faculty:
Interactive Role Stereotype-Based Visualization To Comprehend Software Architecture
Ho-Quang T, Bergel A, Nurwidyantoro A, Jolak R, Chaudron MRV
8th IEEE Working Conference on Software Visualization
(2020)
This work presents an interactive visualization approach based on role stereotypes to improve software architecture comprehension and analysis.
SENADA-UGM Faculty:
Single document keywords extraction in Bahasa Indonesia using phrase chunking
Trisna INP, Nurwidyantoro A
Telkomnika
18(4):1917-1925
(2020)
This research develops a method for single document keyword extraction in Bahasa Indonesia using phrase chunking techniques to improve information retrieval and text analysis capabilities.
SENADA-UGM Faculty:
2019 (10 publications)
Agent-based Completion for Collecting Medical Note Parameters
Khotimah PH, Heryawan L, Kuroda T, Hiragi S, Yamamoto G, Okamoto K
Proceedings of the 7th International Conference on Human-Agent Interaction
(2019)
This work develops an agent-based completion system for collecting medical note parameters, improving clinical documentation efficiency through intelligent assistance and parameter suggestion.
SENADA-UGM Faculty:
Automated classification of class role-stereotypes via machine learning
Nurwidyantoro A, Ho-Quang T, Chaudron MRV
Proceedings of the 23rd International Conference on Evaluation and Assessment in Software Engineering
(2019)
This work presents a machine learning approach for automated classification of class role-stereotypes in object-oriented software design, supporting software architecture analysis and design quality assessment.
SENADA-UGM Faculty:
A PLATFORM VIEW OF AUTOMATIC SHORT ANSWER SCORING SYSTEM
Sari Y, Herwanto GB, Riasetiawan M, Prastowo BN, Bustoni IA
ICEAP 2019
264-270
(2019)
This paper presents a platform view of an automatic short answer scoring system, discussing the architectural considerations and implementation approach for automated assessment of student responses.
SENADA-UGM Faculty:
Data Gathering Architecture for Clickstream Data Mining on Online Shop
Somya R, Winarko E, Priyanta S
2019 5th International Conference on Science and Technology (ICST)
1:1-4
(2019)
This research presents a data gathering architecture for clickstream data mining in online shopping environments, enabling comprehensive customer behavior analysis.
SENADA-UGM Faculty:
A survey of hierarchical classification algorithms with big-bang approach
Defiyanti S, Winarko E, Priyanta S
2019 5th International Conference on Science and Technology (ICST)
1:1-6
(2019)
This survey examines hierarchical classification algorithms using big-bang approach, analyzing various methods for multi-level classification tasks.
SENADA-UGM Faculty:
Trending Topics Detection of Indonesian Tweets using BN-grams and Doc-p
Indra, Winarko E, Pulungan R
Journal of King Saud University-Computer and Information Sciences
31(2)
(2019)
This research presents trending topics detection methods for Indonesian tweets using BN-grams and Doc-p techniques for social media analysis and monitoring.
SENADA-UGM Faculty:
Modification of Stemming Algorithm Using A Non Deterministic Approach To Indonesian Text
Rifai W, Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
13(4):379-388
(2019)
This work modifies stemming algorithms for Indonesian text using non-deterministic approaches to improve morphological analysis accuracy in Indonesian language processing.
SENADA-UGM Faculty:
Parallelization of Hybrid Content Based and Collaborative Filtering Method in Recommendation System with Apache Spark
Ikhsanudin R, Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
13(2):149-158
(2019)
This research implements parallelization of hybrid content-based and collaborative filtering methods using Apache Spark for scalable recommendation systems.
SENADA-UGM Faculty:
Hate Speech Detection for Indonesia Tweets using Word Embedding and Gated Recurrent Unit
Patihullah J, Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
13(1):43-52
(2019)
This study develops hate speech detection for Indonesian tweets using word embeddings and Gated Recurrent Units for social media content moderation.
SENADA-UGM Faculty:
Towards Integrating Human Values into Software - Mapping Principles and Rights of GDPR to Values
Perera H, Hussain W, Mougouei D, Shams RA, Nurwidyantoro A, Whittle J
2019 IEEE 27th International Requirements Engineering Conference (RE)
(2019)
This research maps GDPR principles and rights to human values, providing a foundation for integrating privacy and human rights considerations into software systems.
SENADA-UGM Faculty:
2018 (4 publications)
UKARA A fast and simple automatic short answer scoring system for Bahasa Indonesia
Herwanto GB, Sari Y, Prastowo BN, Riasetiawan M, Bustoni IA
Proceeding Book of 1st International Conference on Educational Assessment
(2018)
UKARA is introduced as a fast and simple automatic short answer scoring system specifically designed for Bahasa Indonesia, addressing the unique linguistic challenges of Indonesian language assessment.
SENADA-UGM Faculty:
Multidimensional Earcon Interaction Design for The Blind a Proposal and Evaluation
Bustoni IA, Hidayatulloh I, Azhari, Augoestien NG
The 2018 International Seminar on Research of Information Technology and Intelligent Systems
(2018)
This research proposes and evaluates a multidimensional earcon interaction design specifically tailored for blind users, investigating how audio cues can enhance accessibility in human-computer interaction.
SENADA-UGM Faculty:
A Proposed Framework for Essay Answer Processing based on Computational
Prastowo BN, Riasetiawan M, Herwanto GB, Sari Y, Busthoni IA
ICEAP 2019
2, 54-58
(2018)
This paper proposes a computational framework for processing essay answers, focusing on automated evaluation methods for extended written responses in educational assessments.
SENADA-UGM Faculty:
Sentiment analysis of movie opinion in twitter using dynamic convolutional neural network algorithm
Ratnawati F, Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
12(1):1-10
(2018)
This study applies dynamic convolutional neural networks for sentiment analysis of movie opinions in Twitter, improving opinion mining accuracy for entertainment content.
SENADA-UGM Faculty:
2017 (6 publications)
Fuzzy Logic Tsukamoto for SARIMA On Automation of Bandwidth Allocation
Bustoni IA, Permanasari AE, Hidayah I, Hidayatulloh I
International Journal of Advanced Computer Science and Applications
8 (11)
(2017)
This research applies Fuzzy Logic Tsukamoto method combined with SARIMA for automated bandwidth allocation, optimizing network resource management through intelligent prediction and allocation algorithms.
SENADA-UGM Faculty:
SARIMA-EGARCH Model to Reduce Heteroscedasticity Effects in Network Traffic Forecasting
Hidayatulloh I, Bustoni IA
Journal of Theoretical and Applied Information Technology
95 (3), 554-560
(2017)
This study presents a SARIMA-EGARCH model designed to reduce heteroscedasticity effects in network traffic forecasting, improving the accuracy of network performance predictions.
SENADA-UGM Faculty:
Recognizing the sarcastic statement on WhatsApp Group with Indonesian language text
Winarko E, Cherid A
2017 International Conference on Broadband Communication, Wireless Sensors and Powering
(2017)
This research develops techniques for recognizing sarcastic statements in WhatsApp group conversations using Indonesian language text analysis and natural language processing.
SENADA-UGM Faculty:
Sentimen analisis tweet berbahasa Indonesia dengan deep belief network
Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
11(2):187-198
(2017)
This highly-cited research presents sentiment analysis of Indonesian tweets using deep belief networks, significantly contributing to Indonesian natural language processing and social media analysis.
SENADA-UGM Faculty:
Fuzzy Logic Tsukamoto for SARIMA On Automation of Bandwidth Allocation
Bustoni IA
International Journal of Advanced Computer Science and Applications (IJACSA)
8(11):47
(2017)
This study implements Fuzzy Logic Tsukamoto method combined with SARIMA for automated bandwidth allocation, addressing network resource management challenges.
SENADA-UGM Faculty:
Finding Knowledge from Indonesian Traditional Medicine using Semantic Web Rule Language
Gunawan G, Mustofa K
International Journal of Electrical and Computer Engineering (IJECE)
(2017)
This study explores the application of Semantic Web Rule Language (SWRL) to extract and represent knowledge from Indonesian traditional medicine (Jamu) for improved information accessibility and knowledge management.
SENADA-UGM Faculty:
2016 (3 publications)
Sentiment analysis of economic news in Bahasa Indonesia using majority vote classifier
Zamahsyari, Nurwidyantoro A
Data and Software Engineering (ICoDSE), 2016 International Conference on
(2016)
This research develops a sentiment analysis system for economic news in Bahasa Indonesia using a majority vote classifier approach to analyze market sentiment and economic indicators.
SENADA-UGM Faculty:
Cassandra and SQL database comparison for near real-time Twitter data warehouse
Murazza MR, Nurwidyantoro A
2016 International Seminar on Intelligent Technology and Its Applications
(2016)
This study compares Cassandra and SQL databases for near real-time Twitter data warehousing, evaluating performance and scalability characteristics for social media analytics.
SENADA-UGM Faculty:
Quotations identification from Indonesian online news using rule-based method
Syaifudin Y, Nurwidyantoro A
2016 International Seminar on Intelligent Technology and Its Applications
(2016)
This work develops a rule-based method for identifying quotations from Indonesian online news sources, supporting automated content analysis and information extraction from news media.
SENADA-UGM Faculty:
2015 (1 publications)
Forecasting model for hotspot bandwidth management at Department of Electrical Engineering and Information Technology UGM
Permanasari AE, Hidayah I, Bustoni IA
Int. J. Appl. Math. Stat
53 (4), 227
(2015)
This research develops a forecasting model for hotspot bandwidth management specifically for the Department of Electrical Engineering and Information Technology at UGM, optimizing network resource allocation.
SENADA-UGM Faculty:
2014 (1 publications)
Analisis sentimen twitter untuk teks berbahasa Indonesia dengan maximum entropy dan support vector machine
Putranti ND, Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
8(1):91-100
(2014)
This highly-cited work applies maximum entropy and support vector machine methods for sentiment analysis of Indonesian Twitter text, establishing foundational techniques for Indonesian sentiment analysis.
SENADA-UGM Faculty:
2013 (3 publications)
SARIMA (Seasonal ARIMA) implementation on time series to forecast the number of Malaria incidence
Permanasari AE, Hidayah I, Bustoni IA
2013 international conference on information technology and electrical engineering
(2013)
This study implements SARIMA (Seasonal ARIMA) on time series data to forecast malaria incidence patterns, contributing to public health surveillance and epidemic prediction capabilities.
SENADA-UGM Faculty:
Perancangan Sistem Informasi Eksekutif (Studi Kasus di UGM)
Nurwidyantoro A, Hakim B, Utomo EP
Seminar Nasional Aplikasi Teknologi Informasi (SNATI)
(2013)
This work presents the design of an Executive Information System through a case study at Universitas Gadjah Mada, focusing on strategic information management for executive decision-making.
SENADA-UGM Faculty:
Event detection in social media - A survey
Nurwidyantoro A, Winarko E
International Conference on ICT for Smart Society
1-5
(2013)
This survey paper provides a comprehensive overview of event detection techniques in social media, analyzing various approaches and challenges in identifying real-time events from social media streams.
SENADA-UGM Faculty:
2012 (2 publications)
Parallelization of Maximum Entropy POS Tagging for Bahasa Indonesia with MapReduce
Nurwidyantoro A, Winarko E
International Journal of Computer Science Issues (IJCSI)
9(4)
(2012)
This research presents a parallelization approach for Maximum Entropy POS tagging in Bahasa Indonesia using MapReduce framework to improve processing efficiency for Indonesian text processing.
SENADA-UGM Faculty:
Klasifikasi Posting Twitter Kemacetan Lalu Lintas Kota Bandung Menggunakan Naive Bayesian Classification
Rodiyansyah SF, Winarko E
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
6(1)
(2012)
This research classifies traffic congestion tweets for Bandung city using Naive Bayesian Classification, contributing to intelligent transportation systems and traffic monitoring.
SENADA-UGM Faculty:
2008 (1 publications)
A signature-based indexing method for efficient content-based retrieval of relative temporal patterns
Winarko E, Roddick JF
IEEE Transactions on Knowledge and Data Engineering
20(6):825-835
(2008)
This research presents a signature-based indexing method for efficient content-based retrieval of relative temporal patterns, contributing to temporal data mining and pattern recognition.
SENADA-UGM Faculty:
2007 (1 publications)
ARMADA–An algorithm for discovering richer relative temporal association rules from interval-based data
Winarko E, Roddick JF
Data & Knowledge Engineering
63(1):76-90
(2007)
This highly-cited work presents the ARMADA algorithm for discovering richer relative temporal association rules from interval-based data, making significant contributions to temporal data mining.
SENADA-UGM Faculty: