Page 232 - Konsep Final Disertasi Agung S. 23 April 2024

MODEL PSFFIDOCFS = DOCFS1 DOCFS2 DOCFS3 DOCFS4 DOCFS1P1 DOCFS2P2 DOCFS3P3
DOCFS4P4
IDENTITY PSFFIDOCFS = DOCFS1 DOCFS2 DOCFS3 DOCFS4
MODEL PSFFIFeed = Feed1 Feed2 Feed3 Feed4 Feed1P1 Feed2P2 Feed3P3 Feed4P4
IDENTITY PSFFI Feed = Feed1 Feed2 Feed3 Feed4
MODEL CFFILB = LB1 LB2 LB3 LB1P1 LB2P2 LB3P3 SHI SH B
IDENTITY CFFILB = LB1 LB2 LB3
MODEL GPSFPI = PSFNGPS PSFPI DOCPS3 DOCPS4 DOCGPS2
MODEL PSFPIDOCFS = DOCFS7 DOCFS8 DOCFS9 DOCFS10 DOCFS1P7 DOCFS2P8 DOCFS3P9
DOCFS4P10
IDENTITY PSFPIDOCFS = DOCFS7 DOCFS8 DOCFS9 DOCFS10
MODEL PSFPIFeed = Feed7 Feed8 Feed9 Feed10 Feed7P7 Feed8P8 Feed9P9 Feed10P10
IDENTITY PSFPIFeed = Feed7 Feed8 Feed9 Feed10
MODEL CFPPILB = LB8 LB9 LB8P8 LB9P9
IDENTITY CFPPILB = LB8 LB9
MODEL PSFNGPSDOCFS = DOCFS5 DOCFS6 DOCFS5P5 DOCFS6P6
IDENTITY PSFNGPSDOCFS = DOCFS5 DOCFS6
MODEL PSFNGPSFeed = Feed5 Feed6 Feed5P5 Feed6P6
IDENTITY PSFNGPSFeed = Feed5 + Feed6
MODEL CFILB= LB4 LB5 LB4P4 LB5P5
IDENTITY CFILB= LB4 LB5
MODEL CIFLB = LB6 LB7 LB6P6 LB7P7
MODEL BLB= LB10 LB10P10
MODEL CDLB = LB11 LB11P11
run;

Hasil Olahan Rantai Pasok
The SAS System 1
2:30 pm Monday, February 5, 2024

SYSLIN Procedure
Two-Stage Least Squares Estimation

Model: GPSFFI
Dependent variable: GPSFFI

Analysis of Variance

Sum of Mean
Source DF Squares Square F Value Prob>F

Model 14 92673131.887 11584141.486 664.080 0.0001
Error 22 366321.72578 17443.89170
C Total 36 93029755.367

Root MSE 2.07533 R-Square 0.8871
Dep Mean 9251.43333 Adj R-SQ 0.8896
C.V. 1.42762

The SAS System 2
02:30 pm Monday, February 5, 2024

SYSLIN Procedure
Two-Stage Least Squares Estimation

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