APLIKASI LOGIKA FUZZY UNTUK MEMPREDIKSI TINGKAT FLOWABILITY PADA SELF-COMPACTING CONCRETE
Abstract
Self-compacting concrete (SCC) is one of the innovation in concrete to
simplify work. SCC has flowability, viscocity, passing ability, and segregation
resistance. Main SCC properties can be known by fresh concrete testing. The
testing of fresh concrete has possibility of an error that results in the test results.
Fresh concrete prediction testing using the Mamdani fuzzy logic method reduce
the possibility of errors. Prediction fresh concrete tests are slump-flow, T50, vfunnel,
l-box, and j-ring. The data used is secondary data from journal with
numbers in a row, 60, 36, 54, 28, and 19 data respectivily. All predictions use 324
rules with 6 input, cement, fly ash, sand, gravel, water, and superplasticizer, and
1 output, namely each test. Slump-flow prediction get a value 705,5 mm with data
that is 705 mm so that it only has a difference 0,5 mm. T50 prediction get a value
1,7 s with data that is 1,7 s so that it has the same value. V-funnel prediction get a
value 9,1 s with data that is 9,15 s so that it only has a 0,05 s difference. L-box
prediction get a value 0,93 with data that is 0,93 so that it has the same value. Jring
prediction get a value 0 mm with data that is 0 mm so that it has same value.
Mamdani fuzzy logic predictions produce values that are close and even same as
secondary data so it can be used to predic fresh concrete testing on SCC.