PERBANDINGAN NILAI TANAH MENGGUNAKAN MODEL ANALISIS REGRESI BERGANDA DAN JARINGAN SYARAF TIRUAN (STUDI KASUS: KELURAHAN WAY LUNIK, KETAPANG DAN WAY LAGA, KOTA BANDAR LAMPUNG)
ABSTRACT: The characteristics
of land value is not linier and high multicolinierity, the methods of landassessment
using MRA might resulting less accuracy,Therefore land ANN method to improve
thepredicted value quality to be more accurate is required. ANN method could
identify the patternsand relationships between linier and non linier
independent variables to the dependent variablesthrough the learning process
iteratif. The previous explanation encourage the authors tocomparison use MRA
and ANN, when applied in Kelurahan Way Lunik, Ketapang and Way LagaBandar
Lampung. The modelling results of MRA method is lin-log, while the modeling
results ofANN is backpropagation. The influence of independent variables to the
land value in ANN modelis better than MRA model. This can be seen in R2 value
ANN model is 98.3% and the R2 valueMRA model is 90.1%. The accuracy of ANN
model is higher than MRA model. This can be seen inCOV value ANN model is 10.1%
and COV value MRA model is 50.2%. The dispersion of ANNmodel is higher than MRA
model. This can be seen in COD value ANN method is 7.2% and valueCOD MRA method
is 35.3%. The estimation land value of ANN model is closer to the actual
valuethan estimation land value of MRA model. This can be seen in PRD value ANN
method is 1.00 andthe value of PRD MRA model is 1.07. The comparison result of
land value estimation using theMRA and JST shows that the ANN land value
estimation is closer to the sample data.
Penulis: Citra Dewi
Kode Jurnal: jptsipildd110269
