"Work by Heart, Learn with Open Mind"

Collaborators

Faculty of Engineering and Vocational Universitas Pendidikan GaneshaFaculty of Science King Mongkut's University of Technology ThonburiKMUTT Geospatial Engineering and Innovation CenterApplied Bachelor in Software Engineering Technology Study ProgramBachelor of Computer Science Study Program
Our Vision

Our Vision

Vision Illustration
“To foster a sustainable international collaboration that encourages cross-disciplinary innovation and advances knowledge, with the aim of developing excellent human resources and contributing meaningfully to the global community.
Collaboration Photo

About

The collaboration between KGEO, KMUTT (Thailand) and Universitas Pendidikan Ganesha (Indonesia) was founded on a shared vision to create an open space for learning, research, and innovation. With an MoU already established and a MoA to be signed in 2025, this partnership stands as an international bridge focused on computer science, software engineering, geospatial technology, and digital innovation.

Our mission is clear: To generate academic and technological breakthroughs, provide meaningful experiences for students and lecturers, and deliver real benefits to society. From joint publications and academic events to research engaging local governments, this collaboration continues to grow as an inclusive platform for fresh ideas.

We warmly welcome students, researchers, and partners to join us, because innovation knows no boundaries, and collaboration makes it possible.

Our Initiatives

Focus Field

  • Geospatial Studies (Water Management, Climate Change)
  • Artificial Intelligence
  • Data Science
  • Software Engineering
  • Web-GIS
  • IoT

Partners

Our Team

Researchers, lecturers, and students involved in the collaboration

Kadek Yota Ernanda Aryanto, S.Kom., M.T., Ph.D.

Lecturer

Ilkom - Undiksha

Asst. Prof. Dr. Pariwate Varnakovida

Lecturer & Director

KGEO, KMUTT

Ir. Ketut Agus Seputra, S.ST.,M.T.

Lecturer

TRPL - Undiksha

Prof.Dr. Luh Joni Erawati Dewi, S.T., M.Pd.

Lecturer

Ilkom - Undiksha

Nuttapon Yensakunsuk

Researcher

KGEO, KMUTT

Kadek Prima Giant Marta Dinata, S.Kom.

Researcher / Alumni

Ilkom - Undiksha

Kadek Widiana, S.Tr.Kom.

Researcher / Alumni

TRPL - Undiksha

I Komang Hary Dana Wijaya, S.Kom.

Researcher / Alumni

Ilkom - Undiksha

Mellisa Damayanti, S.Kom.

Researcher / Alumni

Ilkom - Undiksha

Ni Putu Karisma Dewi, S.Kom.

Researcher / Alumni

Ilkom - Undiksha

I Komang Darma Wiguna, S.Tr.Kom.

Researcher / Alumni

TRPL - Undiksha

Kadek Losinanda Prawira, S.Kom.

Researcher / Alumni

Ilkom - Undiksha

Ni Putu Nita Nathalia, S.Kom.

Researcher / Alumni

Ilkom - Undiksha

Ni Luh Suryani Agustini

Researcher / Student

TRPL - Undiksha

Putu Raditia Satriawan

Researcher / Student

Ilkom - Undiksha

I Kadek Yudi Artana

Researcher / Student

TRPL - Undiksha

Our Journey & Activities

Key milestones in our collaborative journey

1

2018

Sign MoU

Formalized the collaboration between Undiksha, Indonesia, and KMUTT, Thailand

2

2019

Events and Workshop

Attending events/workshop, such as Remote Sensing of Land-Use/Cover Change and Climate Impacts in Coastal Zone in Phuket, Thailand

3

2023

Research Collaboration

Research funded (Univ.), Student internships, Presentation in Conferences, Prototype, Bachelor Thesis, Academic Activities, MoU (ext.)

4

2024

Research Collab #2

Research funded (Univ. and Govt.), Student Internship, Publications (Conference), Guest Lecture, Bachelor Thesis & Projects, other Academic Activities

5

2025

Research Collab #3

Research funded (Univ.), Students Internship, Publications (conference and journals), Guest Lecture, MoA between Faculties

6

2026

Research Collab #4

Research funded (Univ.), Students Internship, Publications (conference and journals)

Publications & Products

Papers, articles, or journals that we have published

Abstract Presentation

K.H. Sudana, L.J.E Dewi, K. Setemen, P. Varnakovida, K.Y.E. Aryanto, 2024, “Machine Learning-Based Analysis of Rice Crop Phenology in Satellite Imagery”, ICMLSC 2024 Singapore (Achievement: Best Presenter).

L.J.E. Dewi, K.Y.E. Aryanto, G. Indrawan, K.A. Seputra, P. Varnakovida, 2024, “Crop Classification Model using Convolutional Neural Network Algorithm”, ICMLSC 2024 Singapore.

K.P.G.M. Dinata, L.J.E. Dewi, P. Varnakovida, K.Y.E. Aryanto, 2024, “A Comparative Analysis of Machine Learning Algorithms for Land Use and Land Cover Classification in Chachoengsao Province, Thailand”, ICMLSC 2024 Singapore.

K.L. Prawira, K.Y.E. Aryanto, P. Varnakovida, 2024, “Analysis of object-based land use and land cover classification with SNIC and G-means algorithms”, 9th International Conference on Sustainable Energy and Environment (SEE 2024), Bangkok.

N.P.K. Dewi, P. Varnakovida, K.Y.E. Aryanto, N. Yensakunsuk, 2024, “River area segmentation using Sentinel-1 SAR imagery with deep learning approach”, 9th International Conference on Sustainable Energy and Environment (SEE 2024), Bangkok.

M. Damayanti, N. Yensakunsuk, K.Y.E. Aryanto, P. Varnakovida, 2024, “Forecasting SPI and SPEI drought indices using climate data and long short-term memory neural networks”, 9th International Conference on Sustainable Energy and Environment (SEE 2024), Bangkok.

Proceedings & Journals

F. B. Pasaribu, L. J. E. Dewi, K. Y. E. Aryanto, K. A. Seputra, P. Varnakovida and N. K. Kertiasih, 2024, “Generating synthetic data on agricultural crops with DCGAN”, 2024 11th International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA), Singapore, 2024, pp. 1-6, pp. 1-6. doi: 10.1109/ICAICTA63815.2024.10763158[Proceeding]

F.B. Pasaribu, L.J.E. Dewi, K.Y.E. Aryanto, P. Varnakovida, 2025, “Effect of Synthetic Data Augmentation on Plant Classification Accuracy Using MobileNetV2, EfficientNet-B0, and ResNet-18”, IEEE 5th International Conference on Software Engineering and Artificial Intelligence (SEAI), China. doi: 10.1109/SEAI65851.2025.11108883[Proceeding]

Dewi, N. P. K., Suputra, P. H. ., Paramartha, A. G. Y. ., Dewi, L. J. E. ., Varnakovida, P. ., & Aryanto, K. Y. E., 2025, “River Area Segmentation Using Sentinel-1 SAR Imagery with Deep-Learning Approach”, Geomatics and Environmental Engineering, 19(4), 39–63. doi: 10.7494/geom.2025.19.4.39[Journal]

P. Ony Andewi, K. A. Seputra, K. Y. E. Aryanto, and L. J. E. Dewi, 2025, “Integrasi Teknologi Penginderaan Jauh Dan Machine Learning Pada Web GIS Untuk Pemetaan Potensi Banjir (Integration of Remote Sensing and Machine Learning Technology in Web GIS for Flood Potential Mapping)”, Jurnal Pendidikan Teknologi dan Kejuruan, vol. 22, no. 1, pp. 12–23, Jan. 2025. doi: 10.23887/jptkundiksha.v22i1.87455[Journal]

N.P.N. Nathalia, G.A.R. Wijaya, K.Y.E. Aryanto, N.P.N.P. Dewi, P.H. Saputra, N.P.K. Dewi, M. Damayanti, K.L. Prawira, 2025, “International Journal of Applied Sciences and Smart Technologies (IJASST)”, vol 7(1), pp. 145-158. doi: 10.24071/ijasst.v7i1.11608[Journal]

Related Project

Here are some related prototypes in the field of environmental and climate change

VoxaGIS Project Mockup
Related Project

VoxaGIS

A spatial intelligence platform integrating remote sensing data and machine learning for environmental monitoring.

Visit VoxaGIS
FlowGIS Project Mockup
Related Project

FlowGIS

An integrated hydrological flow modeling and water resource management system using advanced Web-GIS technology.

Visit FlowGIS
SIPETANI Project Mockup
Related Project

SIPETANI

An integrated agricultural Web-GIS platform for mapping agricultural land, Subak institutions, farmer groups, and regional commodities.

Visit SIPETANI