MOUNTAIN LAWU VIA CETHO 🌄
A Roblox experience owned by INDONESIA EXPEDITION STUDIO.
AdventureENIndonesian GeographyMountain ClimbingCultural Exploration
MOUNTAIN LAWU VIA CETHO 🌄 is an adventure experience created on 2025-05-31. It has recorded 4,197,185 lifetime visits and 4,744 favorites. The current player count is 0. The experience holds an 85% like percentage. It is categorized under the adventure genre within the Roblox platform data index.
Description (written by the developer; not a statement by this register)
*Join our community and get more MOUNTAINS! 🌄 Mount Lawu🌄 Mount Lawu is a 3,265 meter high volcano located on the border of Central and East Java, Indonesia. Known as one of the most mystical mountains in the island of Java, Lawu harbors a powerful wealth of nature, history, and culture. Its climbing trails such as Cemoro Sewu and Cemoro Kandang offer the beauty of the forest, an edelweiss field, and stunning panoramic peaks. Its highest peak, Hargo Dumilah, becomes a sacred and legendary place. Mount Lawu is not only a climbing destination, but also a profound spiritual and cultural journey. 🔥 Combine Adventure, Culture, and Spirituality 🔱Your main goal: reach the summit, a sacred place filled with legends of the kings and hermits of Java. But be careful... not all climbers return with the same story.
Last updated by the developer 30 Jul 2026, 16:56 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 11 Aug 2026, 06:00 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.