Best shopping malls Palembang (ID)
Popular shopping days & hours in Palembang Indonesia : Avoid the busy hours by visiting shopping malls during the quiet days as indicated below.
Adjust the filters to find for example your desired busy,
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Palembang Square (Shopping center)
Jl. Angkatan 45Pasar Kuto (Market)
Jl. Dr. M. IsaPasar Kuto is most popular around 8 AM on Sundays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.
Pasar 10 Ulu (Market)
Jl. KH. Azhari No.9Pasar 10 Ulu is most popular around 10 AM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
JM Kenten (Shopping center)
Jl. MP. Mangkunegara No.8JM Kenten is most popular around 3 PM on Saturdays. Visitors usually stay 15-45 min here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
Pasar Padang Selasa (Market)
2P5M+WRX Jl. Padang Selasa No.Kelurahan Bukit Lama Kec. Ilir Bar. I, Kota Palembang, Sumatera Selatan 30139, IndonesiaPasar Padang Selasa is most popular around 9 AM on Sundays. Visitors usually stay 15 min here. It's most quiet on Wednesdays.
Menjual mainan anak anak
Instagram @the_dnd_toys
Lokasi : Persis Di PASAR PADANG SELASA, Toko mainan DnD Toys , Bukit (ada spanduknya) , Jl. PUTRI RAMBUT SELAKO, seberang Lili Collection, sebelah yg jualan kelapo, seberangnya Ruko kerupuk Naga Mas
Masuk jalan antara Model H Dowa dan Salon Meme
For more info visit the website or checkout Google Maps.
Pasar Buah Sayangan (Market)
2Q77+H8R Lorong Ketandan 17 Ilir Kec. Ilir Tim. I, Kota Palembang, Sumatera Selatan 30115, IndonesiaPasar Buah Sayangan is most popular around 8 AM on Sundays. Visitors usually stay 25 min here. It's most quiet on Wednesdays.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Palembang, 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.