SangatSetuju 1.O

(1)

LA M PIR AN 1

A Jenis kelam in

valid C um Value Label Value Frequency Percent Percent Percent

Laki -l aki # k t ' ' 139 63. 8 63.8 63. 8

Perem puan 2.0 79 36.2 36.2 100.0

Total 218 10Q.0 100.0 B Usia

Valid C um Value Lébel Value Frequency Percent Percent Percent

25 - 30 th 1.0 53 24.3 24.3 24.3

30 - 35 th 2.Q 61 28.0 28.0 52.3

35 - 40 th 3.0 59 27.1 27.1 79.4

diatas 40 th 4.0 45 20.6 20.6 1œ .0 Total 218 100.0 1œ .Q

'

C Peker jaan

Valid C um Value Label Value Frequèncy Percent Percent Percent

Pegawai Negeri 1.0 26 11.9 11.9 11.9

Pegawai Swasta 2.0 107 49.1 49.1 61.0 W irasw asta 3.G '80 36.7 36.7 97.7

'Lainnya 4.0 5 2.3 2.3 100.0

Total ' 218 10Q.0 ' 100.0 D Perusahaan yang bonafit

Valid C um Value Label Value . Frequenoy Percent Percent Peroent

Sangat Setuju 1. O 45 20.6 20. 6 20.6

F setuju 2. 0 154 70. 6 70. 6 91.3

Tidak Tahu 3.0 19 8.7 8.7 100.0

Tot l 218 100.0 100.0

E Mempunyai jari ngan yang I uas

'

Valid Cum Value Label Value Frequency Percent Percent Percent

Sangat Setuju 1.0 89 40. 8 40.8 40. 8

Setùju 2. 0 96 44. 0 44. 0 84. 9

Tidak Tahu 3.0 26 11.9 11.9 96.8

Ti dak Setuju 4. 0 7 3. 2 3. 2 1œ . 0

218 100 0 100 0

Total . .

(2)

F Pelayanannya m emuaskan

Sangat Setuju 1. 0 54 24. 8 24.8 24. 8 Setuju 2. 0 135 . . 61. 9 61. 9 86. 7

Tidak Tahu 3.0 15 6:9 6.9 93.6

Ti dak Setuju 4. 0 14 6. 4 6. 4 100. 0

Total 218 1œ .0 1œ .Q ,

G Mem punyai.hubungan baik dengan klien

Valid C um

Value Label Val ue Fr e4uency Percent Percent Percent

Sangat Setuju 1. 0 44 20.2 20. 2 20.2

Setuju 2. 0 145 66. 5 66. 5 86.7

Tidak Tahu 3k,0 15 6.9 6.9 93.6

Tidak Setuju 4. O 14 6.4 6. 4 1002 0

Total 218 100.0 100.Q H Proses pem buat n polisnya oepat dan rapi

Vali d Cum

Value Label Value Frequency Percent Percent Percent

Sanjat Setuj u 1. 0 59 27. 1 . 27. 1 27. 1

Setulu 2.0 91 41.7 41.7 68.8

Tidak Tahu 3.0 59 27.1 27.1 95.9

Tidak Setuju 4. 0 9 4.1 4.1 100. 0

Total 218 100.0 100.0 l Pembayaran klaim nya baik dan cepat '

Sàngat Setejg 1: 0 76 34. 9 34. 9 34. 9

Setuju 2. 0 76 34. 9 34. 9 69.7

Tidak Tahu 3.0 55 25.2 25.2 95.0

Ti dak Setuju 4. 0 11 5.0 5.0 1œ . 0

7*nta1 218 10Q.0 100.G J M enarik

Vatid Cum Value Label Value Frm uency Percent Percent Percent

Sangat Setuju 1 . 0 26 1 1. 9 11. 9 11 . 9

Setuju 2. 0 168 77.1 N .1 89. 0

T idak Tahu 3.0 .24 11.0 11.0 1'00.0 Total 218 100.0 100.0

(3)

K M enguntungkan

Valid Cpm Value Label Value Frequency Percent Percent Percent

Sangat Setuju 1. O 22 10. 1 10. 1 10.1

Setuju 2. 0 13é 59. 6 59. 6 69. 7

Tidak Tahu 3.0 57 26.1 26.1 95:9

Ti dak Setuju 4. 0 9 4. 1 4.1 100. 0

Total 218 100.0 100.0 L Banyak variasi / m acamnya

Valid 'C um Value Label Value Frequency Percent Percent Percent

Sangat Setuju 1. 0 44 20.2 20. 2 20. 2

' Setuju 2. 0 124 56. 9 56. 9 77.1

m dak Tahu 3.O 47 21.6 21.6 98.6

Ti dak Sett jt l 4. 0 3 1. 4 1.4 100. 0

Total 218 100.0 1Q0.0 M Pelayanannya m em uaskan

Valid C um Value Label Value Frequene Percent Percent Percent

Sangat Setuju 1. Q 37 17. 0 17. 0 17. 0

Setuju 2. 0 165 75. 7 75.7 92.7

Tidak Tahu 3.0 16 7.3 7.3 1X .0

Total 218 100.0 100.0 N Penampilannya menarik

Valid C um Value Label Value Frequency Percent Percent Percent

Sangat Setqju 1. 0 42 19. 3 19. 3 19. 3

Setuju 2. 0 133 61. 0 61. 0 30. 3

Tidak Tahu 3.0 14 ' 6_.4 6.4 86.7

Mdak Setuju 4.0 29 13. 3 13. 3 1œ .0

ToG l 218 100.0 100.0 O Ram ah dan so> n

Valid C um Value tabel Value Frequency Percent Percent Percent

Sangatsetuju 1.0 58 26.6 26.6 26. 6

Setuju 2.0 133 61. 0 61. 0 87. 6

TidakTahu 3.0 20 9.2 9.2 96.8

Ti dak Setuju 4. 0 7 3. 2 3. 2 100.0

Tou l 218 1œ .0 100.0

(4)

P Mudah dihebungi Vatid Cum Value Label Value Frequency Percent Percent Percent

Sangat Setuju 1. 7 0 73 33.5 33.5 33.5

Setuju 2. O 124 56. 9 56. 9 90. 4

Tidak Tahu 3;f 14 6.4 6.4 96.8

Sangat Ti dak Setuju 5. O 7 3. 2 3.2 100. 0

Total 218 100.0 100.0 Q Pengetahuan dan 'penguasaan pçoduknya baik

Valid C um Value Label Value Frequency 'Pem ent Pement Percent

Sangat Setuju 1 . 0 61 28. h 0 2:. 0 28. 0

Setuju 2. 0 95 43. 6 43. 6 71. 6

Tidak Tahu 3.O 53 24.3 24.3 95.9

Ti dak ' Setuju 4. O 9 4.1 4.1 1X .0

Total 218 100.0 100.0

& Mampu menjadi pendengar yang bai k V

alid Cum Value Label Value Frequency Percent Percent Percent

Sangat Setuju 1. 0 30 13. 8 13.8 13. 8

.

Setuju 2. O 138 63, 3 63. 3 N . 1

Tidak Tahu 3.0 46 21.1 21.1 98.2

mdak Setuju 4. 0 2 0. 9 0. 9 99.1 Sangat Ti dak Setuju 5. 0 2 0. 9 0. 9 100. 0

Total 218 100.0 1()0.Q

S Kemampuan berkomuni kasi dan menjel askannya bai k

Valid G um Value Label Value Frequency Percent Percent Percent

Sanjat Setuj u 1. 0 37 17. 0 17. 0 17. 0

Setulu 2.0 149 68.3 68.3 85.3

Tidak Tahu 3.0 25 11.5 41.5 96.8

mdak Setuju 4. 0 7 3.2 3. 2 400.0

Total 218 100.0 1œ .0

T Mampu m enum buhkan m inat konsum en terhadap produk yang dihwarkan vajid cum Vasue Label Value Freqqency Percent Percent Percent

Sangat G tuju 1. b 47 21. 6 21.6 21. 6

Setuju 2. 0 138 63. 3 ' 63. 3 84. 9

Tidak Tahu 3.0 31 14.2 14.2 99.1

m dak Setuju 4.û '2 0.9 0.9 100.0 Too t 218 400.0 100.0

(5)

U S iap m endengarkan dan m em berikan tanggapan atas kebutuhan klien Valid Cum Value 'Label Value Frequency P ercent Perced PerO nt

Sangat Setuju 1. O 32 14. 7 14. 7 14.7

Setuju 2. 0 163 74. 8 74. 8 89. 4

Tidak Tahu 3.0 18 8.3 8.3 97.7

Tidak Setuju 4. 0 3 1.4 1.4 99.1

Sangat Ti dak Setuju 5. 0 2 0.9 0. 9 100. 0

Total 218 100.0 1X .0 V M am pu m énum buhkan kepercayaan klien kepada perusahaan

Valid C um Value Label Value Frequency Percent Percent Percent

Sangat Setuju 1. 0 56 25.7 25. 7 25.7

Setuju 2. 0 135 61.9 61. 9 87. 6

Tidak Tahu 3.0 25 11.5 11.5 99.1

Ti daksetuju 4. 0 2 0. 9 Q. 9 100. 0

? Total 218 100.0 1 œ .0

W Mam pu menawarkan alternatif produk asuransi yang paling dibutuhkan klien valid c um Value Label Value Frequency Percent Percent Percent

Sangat Setuju 1. 0 66 30. 3 30. 3 30. 3

Setuju 2. 0 114 52.3 52. 3 82. 6

Tidak Tahu 3.0 29 13.3 13.3 95.9

Ti dak Setuju 4. 0 9 4. 1 4.1 100. 0

Total 218 100.0 100.0

X Mampu menjal in hubungan bai k dengan kl i en I konsumen

. Valid Cum

Value Label Value Frequency Percent Percent Percent

Sangat Setuju 5. 0 80 36. 7 36.7 36.7

Setuju 2.0 125 57. 3 57. 3 94.0

Ti dak Tahu 3. 0 13 6. 0 6. 0 100. 0

Tni .1 . 21ô dcc. c 11 . c '

(6)

LAMPIPAN 2

ANALISA FAKTOR PADA CORPORATE , PRODUCT DAN AGENT IMAGE

Analysis Number 1 Listwise deletfon of cases vith missing values Extraction 1 for Analysis 1, Principal-components Analysis (PC)

Initlal Statistïcs:

Variable 'Communallty * Factor Eigenvalue Pct of Var Cum Pct

D 1.00000 * 1 8.29223 39.5 39.5

E 1.00000 * 2 1.94401 9 .3 48 .7

F 1.00000 * 3 1.59419 7.6 56 .3

G 1.00000 * 4 1.18235 5.6 62.0

H 1.00000 * 5 .98512 4.7 66 .7

I 1.00000 * 6 .93540 4.5 71.1

J 1.00000 * 7 .74268 3 .5 74.6

K 1.00000 * 8 .68127 3.2 77.9

L / 1 .00000 * 9 .64457 3 .1 81.0

M 1 .00000 * 1* .60305 2 .9 83.8

N 1.00000 * 11 .54248 2 .6 86 .4

O 1 .00000 * 12 .53149 2 .5 88 .9

P 1 .00000 * 13 .,45046 2.1 91.1

Q 1.00000 * 14 .38215 1.8 92.9

R 1 .OQ000 * 15 .35410 1.7 94 .6

S 1.00000 * l'6 .29657 1.4 96 .0

T 1 .00000 * 17 .22950 1.1 97.1

U 1 .00000 * 18 .20973 1.O 98 .1

V 1.00000 * 19 .15671 .7 98 .8

W 1.00000 * 2'0 .13622 .6 99 .5

X 1.00000 * 21 .10570 .5 A00 .0

Pc Extracted 4 factors.

(7)

Factor Matrfx :

FACTOR 1 FACTOR 2 ,FACTOR 3 FACTOR 4

F .78091 - .35550 .27110 - .11841

H .7:139 -.02535 .30497 -.04154

W .71688 .04687 -.42623 -.06928

'

G .71539 - .30557 .19824 -.03362

O .71106 - .17950 -.41082 - .01930

S .71,088 -.05202 - .18762 .19675

P .70571 -.33785 -.27172 .01935

E .69225 - .39356 .12707 .25023

Q .68171 .04147 -.16510 .38444

L .45349 .32428 .10565 -.07976

V .64475 .36082 .12992 -.10646

T .60273 .36597 -.09675 - .02460

K .58126 .09943 .,40272 -.27343

J .57920 -.07146 .02088 -.26737

X .57135 .40440 .38828 -.06426

I .57051 - .12562 .10841 - .04422

R .55545 .38839 -.13772 .53968

P .47849 .61083 .15185 .00835

D p .35172 -.51712 .38825 .35176

N .47649 .13502 - .48072 -. .02130

X .49935 - .20628 - .31484 - .5697.8

;

Final Statistics:

Varlable Communality * Factor Eigenvalue Pct of Var Cum Pct '

D .66559 * 1 8 .29223 39 .5 39 .5

E .71287 * 2 1 .94401 9 .3 48 .7

P .82372 * 3 1.59419 7 .6 56 .3

G .64558 * 4 1.18235 5.6 62.0

H *63030 *

I .35497 *

J .41250 *

K .58470 *

L .54973 *

M .64487 *

N .47681 *

O .70697 *

P .68638 *

Q .64150 *

R .76959 *

S .58196 *

T .50718 *

U .62519 *

M .57410 *

W .70258 *

X 71568 *

(8)

Varïmax Rotatlon 1, Extraction 1, Analysis 1 - Kalser

. Normalfzatfon .

Varimax 'converged ln 17 ïterations.

Rotated Factor Matrïx: .

FACTOR 1 PACTOR 2 FACTOR 3 FACTOR 4

M .76887 .19683 - .00533 .12221

U .72551 -.08170 .00247 .30356

V .67262 .13825 .22053 .23225

K .63693 .36392 .18227 -.11558

L .63533 .16273 .23173 .25671

T .52751 .02862 .28663 .38201

D -.06107 .79493 -.15402 .07889

F .34698 .75305 .36866 .01834

.1 E .11085 .75249 .20232 .30563.

G .28825 .67128 .31912 .10017

H .53091 .53854 .20522 .12766

19 .28868 .42970 .26840 .12299

X .14139 .12930 .81650 - .11088

O .08458 .31129 .64654 .43000

W .24154 .14382 .63789 .46546

P .03207 .48687 .57268 .34691

N .13110 -.05784 .50492 .44871

J .34727 .30549 .44514 .02091

R .34913 .10264 - .05046 .79663

Q .21947 .35408 .19672 .65518

S -21333 .37796 .35627 .51640

Factor Transformatfon Matrlx )

FACTOR 1 FACTOR 2 FACTOR 3 FACTOR 4

FACTOR 1 .54198 .53718 .48990 .42154

FACTOR 2 .65258 - .67063 -.22225 .27387 FACTOR 3 .45945 .45398 -.60097 -.47080 PACTOR & -.26328 .23579 - .59113 .72502

(9)

ANALISA FAKTOR PADA CORPORATE IMA GE

This FACTOR analysis requïres 5520 ( 5.4K) BYTES of memory.

Analysis Number 1 Listwise deletlon of cases with missing values Extraction 1 for Analysis 1, Princïpal-components Analysfs (PC)

Initial Statistics:

Varïable Communalliy * Factor Efgenvalue Pct of Var Cum Pct

D 1.00000 * 1 3.47948 58 .0 58.0

E 1.00000 * 2 .79876 13.3 71.3

F 1.00000 * 3 .72043 12.0 83.3

G 1.00000 * 4 .46100 7.7 91.0

H 1.00000 * 5 .33312 5.6 96 .5

I 1.00000 * 6 .20720 3.5 100 .0

PC Extracted 1 factors.

Factor Matrix :

FACTOR 1

F .87178

é .82638

G .78761

H .77357

' I .64185

D .63708

Final Statistïcs :

Varïable Communality * Factor Eigenvalue Pct of Var Cum Pct

D .40587 * 1 3.47948 58.0 58.0

E .68291 *

F .75999 *

G .62032 *

H .59841 *

I 41197 *

(10)

ANA LISA FA KTOR PA DA PRODU CT IM AG E

Analysis Number l Listwise deletion of cases with mïssïng values Extraction 1 for Analysis 1, Princfpal-components Analysis (PC) Inftfal Statlstfcsô

Variable Communality * Factor Eigenvalue Pc t of Var Cum Pct

*

J 1.00000 * 1 1.76847 58.9 58.9

K 1.00000 * 2 .65231 21.7 80 .7

L 1.00000 * 3 .57923 19.3 100.0

PC Extracted 1 factors.

Factor Matrix :

FACTOR 1

K .78954

J i .76503

E *?4821

Flnal Statistics :

Variable Communality * Factor Eigenvalue Pct of Var Cum Pct

J .58528 * 1 1.76847 58 .9 58.9

K .62337 *

L .55982 *

(11)

AXALISA FAKTOR PADA AGENT IM GE '

Analysis Number 1 Listwise deletion of cases with missinq vûlues Ex traction 1 #or Ana.lysis 1 , Prinicigal-componen ts Analysis (PC)

In i tial Statisti cs q '' '

Variable Communality % Factor Eigenvalue 'Pct oT Var Cum Pct

1$ 1.ûQûQû % % 1 5.17289 43.1 43.1

Q 1 .00000 # 2 1 .5757: 13. 1 58.2

0 1 .Q00Q0 % 3 1 .Q122# 8 .4 84 .7

P I.QQQGQ # 4 .8:339 7.4 72.1

9 1 .GQQQQ % 5 ..89553 5.8 . 77.9

R 1 .QQQOQ # 4 .60119 5.0 82.9*

S 1.Q0Q0Q A 7 .57213 4.8 87 .7

T 1.Q0000 # 8 .4Q399 4.1 *1.8

U 1 .ûQ0ûQ # 9 .359û1 3.Q 94.8

V 1.ûQû0Q * 10 .24980 2.1 Q4.Q

% 1.Q0070 A 11 . .2tQ12 1.8 98.7

X 1.û000Q A 12 . 180Q8 1.5 10û.0

PC . Extracted 5 Taactorsk F a c t o r Na t r i x l

F . AI bTnR 1 F -AcToR 2 F' . AcTcR z

kl .78347 -.244û5 -.00821

0 *75178 - .39527 .01014

S .72840 -.t2883 -.24981

Q .72505 .00538 -.33214

. .'A .

P .886$5 -.41308 -.Q9717

T .88807 .23101 .Q8559

V .64128 .37423 .38509

R .44441 .29586 -.58214

R .58391 -.147:5 .24388

N .54181 .52482 .28249

X .5û3:8 -.4:1Q5 .459:3

U .:2891 .6Q11? .11754

(12)

Fînal Statîstics :

Variaeble Communality A Factor Eiçenvalue Pz't o: Var Cum Pct

N .63789 % % 1 5.17280 43.1 45.1

t1 .42219 A 2 1 .57576 13.1 58.2

(3 .72149 A 3 1 .*1229 8.4 64.7

P ,65223 #

0 .63623 %

R .84169 A

S .$û957 A

T .52390 $ '

V .65423 %

V .71058 #

@ .:7444 #

X .89$75 %

Varimax Rotatîon 1, Extraction 1y Analysis 1 - Kûiser Normalizûtîon.

Varimax converqed in 8 iteration>r

Rotated ractor Matrix:

FACTOR 1 FACTOR 2 FACTOR 5

X .8215$ .Q98î4 -.11:29

0 .74022 .10216 .4Q390

P .88875 .0û934 .452:8

: .8533û .22188 .44544

N .5:317 .29666 .13û49

N .û9545 .78250 .12821

V .31221 .77588 .10553

U -.û2195 .77118 .24255

T .2:214 .54725 .34518

R -.:2517 .31198 .86272

9 .329$2 .24û72 .88941

S .44382 .17881 .41695

Factcr Transformation Natrixl

Fi ' cT0R 1 FàcTna 2 FAclnR z

FACTOR 1 .128$2 . .52995 .97745 FACTOR 2 -.$$:85 . .74512 .05553 FACTOR 3 .40Q1? .41998 -.81453

(13)

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