Best restaurants Pekanbaru on Thursday evening (ID)

Popular restaurants and hours for eating in Pekanbaru Indonesia on Thursday evening: Secure a table before rush hour at the most popular restaurants.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated restaurants.

Koki Sunda (Restaurant)
Jl. Jend. Sudirman
4.4

Koki Sunda is most popular around 7 PM on Saturdays. Visitors usually stay 1-1,5 hours here. It's most quiet on Tuesdays.

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Pempek Tini 628 (Restaurant)
Jl. Sisingamangaraja No.99 Rintis Lima Puluh Pekanbaru City, Riau 28155, Indonesia
4.3

Pempek Tini 628 is most popular around 5 PM on Saturdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Mondays.

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Nasi Goreng Bakar Seafood Pak De (Seafood restaurant)
Jl. Sempurna No.9 Tampan Payung Sekaki Pekanbaru City, Riau 28291, Indonesia
4.6

Nasi Goreng Bakar Seafood Pak De is most popular around 7 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Mondays.

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Restoran Taman Anggrek (Chinese restaurant)
GC3H+QG5 Jl. Tuanku Tambusai Labuh Baru Timur Payung Sekaki, Pekanbaru City, Riau 28123, Indonesia
4.4

Restoran Taman Anggrek is most popular around 7 PM on Thursdays. It's most quiet on Mondays.

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Sate Ayam Dahlia H. Arie (Restaurant)
Jl. Dahlia No.53 Sukajadi Kec. Sukajadi Kota Pekanbaru, Riau 28121, Indonesia
4.5

Sate Ayam Dahlia H. Arie is most popular around 6 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.

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K-Cube Family Resto, Karaoke & Billiard (Restaurant)
Jl. Sultan Syarif Qasim No.91-93 Rintis Lima Puluh Pekanbaru City, Riau 28155, Indonesia
4.1

K-Cube Family Resto, Karaoke & Billiard is most popular around 10 PM on Thursdays. It's most quiet on Wednesdays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Pekanbaru, Indonesia. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.