The 2nd International Conference on Sustainable Research and Development (ICSRD-25) was held successfully on 15 October 2025. Organized by LPPM Universitas Pembangunan Nasional Veteran Yogyakarta and Research Synergy Foundation, co-hosted by Polytechnic University of the Philippines (PUP), Municipality of Pulilan, Bulacan, Philippines, and Universiti Teknologi MARA (UiTM) Cawangan Sabah Malaysia, this conference was held Virtual through the online platform.
This conference aims to foster meaningful collaboration, spark innovative solutions, and accelerate the global exchange of knowledge across disciplines.
The conference has successfully gathered speakers, participants, scientific reviewer, session chair, and attendees from more than 20+ countries around the globe, such as Indonesia, Malaysia, Philippines, USA, Thailand, Sri Lanka, Pakistan, India, Turkey, Saudi Arabia, Nigeria, Qatar, Kosovo, Cambodia, Vietnam, Timor-Leste, Madagascar, Fiji, UAE, Bangladesh, and many more.
In the session. With the list of presenters and research titles:
ICD25175
Mangaras Yanu Florestiyanto
Hybrid-Quantum CNN for Enhanced Facial Emotion Recognition: A Comparative Study with VGG16 on the RAF-DB Dataset
ICD25211
Andi Nurkholis
GIS-Based Spatial ID3 Analysis for Cocoa Land Suitability
Name of questioner: Maynard Questin
Question:
How can the adoption of GIS technologies contribute to environmental conservation and efficient land utilization?
Name of questioner: Psyche Cambo
Question:
How can the results of the GIS-based ID3 analysis assist local farmers and policymakers in sustainable cocoa land use planning?
ICD25167
Rochmat Husaini
Comparison of Semi-Supervised Learning Performance in Indonesian Sentiment Analysis: An Empirical Study Between Statistical Machine Learning and Deep Learning Approaches
Name of questioner: Psyche Cambo
Question:
How do semi-supervised learning models based on statistical machine learning compare to deep learning approaches in terms of performance for Indonesian sentiment analysis?
Name of questioner: Maynard Questin
Question:
In what ways can semi-supervised learning help overcome the scarcity of labeled Indonesian language datasets?
ICD25138
Yuli Fauziah
Hybrid Sentiment Intelligence: A CNN-Based Analysis of Visitor Experience at the “History of Java” Museum in Yogyakarta
Name of questioner: Psyche Cambo
Question:
How can a hybrid sentiment intelligence model using CNN analyze and interpret visitor experiences at the “History of Java” Museum? What dominant sentiments are expressed by visitors based on online feedback?
Name of questioner: Maynard Questin
Question:
What measures should be taken to ensure ethical use of visitor data (e.g., privacy, consent) when analyzing sentiment from public and private sources?
ICD25205
Ni Putu Atmelia Putri
YOLOv11-Based Object Detection for 3D City Modeling: A Study on Jatirejo Area, Sleman
Name of questioner: Psyche Cambo
Question:
What types of urban features can be accurately detected using the YOLOv11 algorithm in aerial or street-view imagery of Jatirejo area? What preprocessing and training data are required to optimize YOLOv11 performance?
ICD25170
Aldila Putri Linanzha
Automated Penetration Testing Using the Common 1000 Password Dataset and Deep Learning Method on Wireless Networks
Name of questioner: Psyche Cambo
Question:
What is the effectiveness of using a deep learning-based approach in identifying weak passwords during wireless network penetration testing?
ICD25119
Agus Sasmito Aribowo
Dynamic Hyperparameter Tuning in Deep Co-Training for Semi-Supervised Sentiment Analysis on Social Media
Name of questioner: Psyche Cambo
Question:
How does a dynamically tuned deep co-training approach compare to static or grid-searched tuning strategies in terms of accuracy and robustness?
Name of questioner: Albin Fronda
Question:
In what way could this method assist in detecting misinformation or public opinion trends?
ICD25174
Awang Hendrianto Pratomo
Classification of Merapi Volcano Images Based On HSV Color Feature Extraction And Local Binary Pattern Texture Feature Extraction Using The K-Nearest Neighbors Method
We invite all participants to discuss or ask questions related to the material shared by the presenters in this forum.
The presenter and the audience can continue the discussion in this forum. Enjoy the discussion, and see you at the upcoming conference at https://bit.ly/RSF-UpcomingConference
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