Spot On 90625 Super Green Grass Hotel

Name: Spot On 90625 Super Green Grass Hotel
Address: 36a, Jalan Besar,yong Peng, Batu Pahat,, Yong Peng, Yong Peng, Yong Peng, 97000, Malaysia
Rating: 0

752.6 mfrom the city center

from 2,703 ₽

Main amenities of the hotel

Free Internet
Smoking allowed

Available rooms

Enter your dates of travel and we will display the current prices

No dates selected

If you don't know the specific dates yet, select approximate dates to see the price estimates.

Location

36a, Jalan Besar,yong Peng, Batu Pahat,, Yong Peng

Description of the hotel

Location

You’ll be sleeping tight! Hotel «Spot On 90625 Super Green Grass Hotel» is located in Yong Peng. This hotel is located minutes away from the city center.

At the hotel

Free Wi-Fi on the territory will help you to stay on-line. Additional services that the hotel offers to its guests: a safe-deposit box.

Facts about the hotel

Type of electrical socket

Type G

240 V / 50 Hz

Number of rooms

51 rooms

What other amenities are there?

General

Shopping on site
Smoking areas
No elevators

Services and amenities

Safe-deposit box

Internet

Free Wi-Fi

Languages Spoken

Multi-language staff

Pets

Pets Not Allowed

Policies

Check-in terms and conditions

Check-in and check-out

Check-in
After 14:00

14:00

Check-out
Until 12:00

12:00

Payment

In the hotel

In cash
In the currency of the hotel — MYR

On the website

Some rates can be paid by bank card when booking online. You can use points to make a partial or full payment of your booking. You can pay for your booking by using a promo code if you have one.

The prices are lower in the mobile app

For corporate clients

If you'd like to pay for the order by wire transfer as a legal entity, please send an e-mail to corp@ostrovok.ru

Learn more

Mobile app

Our app has lower prices and more options! You can also pay by Apple Pay and Android Pay there. Besides, you can easily access your booking vouchers in your personal account even if you're offline.

Policy on storage and handling of personal data Recommendation technologies are used