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Unila Community Service and Central Lampung Middle School Math MGMP: MathCityMap-Based Deep Learning Training

In an ongoing effort to transform mathematics learning into a more meaningful, interactive, and relevant experience for daily life, the Community Service Team (PkM) from Universitas Lampung (Unila) partnered with the Middle School Mathematics Teacher Subject Forum (MGMP) of Central Lampung Regency to hold an intensive two-day training workshop.

The workshop, titled “Development of Technology-Based MathCityMap Deep Learning Math Trail Activities to Enhance Middle School Teacher Competence in 2026”, took place on Tuesday–Wednesday, July 21–22, 2026, at SMPN 4 Terbanggi Besar. The event was designed to bridge abstract mathematical theory with the physical reality of the school environment through location-based technology.

Training Opening by Head of Basic Education Disdikbud Central Lampung
Speech and Official Opening of the Training
Photo 1: Group picture with Mrs. Devira Santi, S.T., M.T. (Head of Basic Education Division, Disdikbud Central Lampung) while providing guidance and officially opening the training.


The event was officially opened by Mrs. Devira Santi, S.T., M.T., Head of Basic Education at the Department of Education and Culture of Central Lampung Regency. In her opening remarks, she emphasized the critical importance of technology adaptation at the junior high school level.

“Mathematics education can no longer remain trapped in rigid paper formulas. A deep learning approach combined with open-source technology like MathCityMap is a strategic step toward strengthening students’ reasoning and numeracy literacy in Central Lampung Regency,” she stated.

The training was attended by 50 middle school mathematics teachers from various active member schools across the Central Lampung Math MGMP network.

The Unila PkM Team facilitating the entire series of activities was led by Dr. Chika Rahayu, M.Pd., accompanied by experienced lecturers and facilitators:

  • Hesti Noviyana, M.Pd.
  • Fadil Firdian, M.Pd.T.
  • Elora Theona br. Sibuea
  • Jeova Jire

Why are Deep Learning and MathCityMap the primary focus?

Deep Learning in mathematics requires students not merely to memorize problem-solving algorithms, but to intuitively understand concepts, connect ideas, and apply them to real-world situations.

Deep Learning Material Presentation Session
Material Presentation by Unila PkM Team
Photo 2: The Unila PkM Team presenting conceptual material on integrating Deep Learning and utilizing MathCityMap features.

MathCityMap (MCM)—a global platform developed by Goethe University Frankfurt—serves as an ideal tool to achieve this objective. The platform combines the concept of math trails with Global Positioning System (GPS) technology and gamification, turning the surrounding environment into an open-air mathematics laboratory.


The training was structured around a Workshop & Field-Based Practice scheme divided into two primary stages:

In the first session, participants acquired theoretical insights on designing tasks that fulfill higher-order thinking skills (HOTS) criteria.

MathCityMap Web Platform
MathCityMap Web Portal Interface
Photo 3: The MathCityMap web portal interface (mathcitymap.eu) used by teachers to upload tasks and plot GPS coordinates.

Through the MathCityMap web portal, participants were trained to:

  1. Design Contextual Tasks (Task Design): Create math problems whose solutions require direct data collection from real objects (e.g., calculating staircase inclination, school monument volume, or tile patterns).
  2. Develop Tiered Hints and Solutions: Provide step-by-step guidance to foster independent student reasoning (scaffolding).
  3. Map Trails: Combine multiple tasks into one integrated exploration route (trail) with precise GPS coordinates.

Creating Tasks and Trails in MathCityMap
Creating Tasks and Trails in MathCityMap
Photo 4: Creating tasks and trails within the MathCityMap application


The second day focused on practical implementation and trail testing within the premises of SMPN 4 Terbanggi Besar.

Practical activities included:

  • Object Measurement and Modeling: Teachers working in small teams conducted field explorations, measuring physical parameters of objects (such as angles, height, area, and volume) and crafting corresponding mathematical problems.
  • App-Based Trail Simulation: Utilizing the MathCityMap mobile application to test GPS signal accuracy, instruction clarity, and automatic feedback mechanisms in real time.
  • Peer Review & Problem Calibration: Reflective discussion among participants to ensure the tasks created were free of ambiguity and safe for student execution.

MathCityMap Object Measurement
Object Measurement by Workshop Participants
Photo 5: Photo of training participants performing measurements to answer questions provided in the MathCityMap trails.

Training Activity Documentation
Additional Training Documentation
Photo 6: Interactive and enthusiastic atmosphere among mathematics teacher participants during the training sessions.


The entire event was officially closed by the Chairman of the Central Lampung Middle School Math MGMP, Aan Triono, S.Pd.

In his closing address, Aan Triono, S.Pd. expressed deep appreciation for the dedication of the Unila PkM Team and the enthusiasm of all participants:

“May this collaboration continue and remain sustainable, enhancing the competence of mathematics teachers by implementing the MathCityMap application in their respective schools and compiling a regional math trail catalog accessible to all teachers and students.”

Closing Ceremony Documentation
Closing Ceremony Photo
Photo 7: Photo of the training closing ceremony


The synergy among university academics (Unila), the Department of Education, and the teacher community (MGMP) serves as an ideal model for accelerating regional education quality. Leveraging MathCityMap with a Deep Learning orientation proves to teachers that mathematics is not an isolated subject, but a living science that can be explored engagingly in our everyday surroundings.

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