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Lampiran : Verbatim
Hasil Wawancara dengan Hansen
Rizky /
Hansen
Isi Percakapan
Keterangan
Rizky
Hansen..
Pewawancara
Hansen
Kenapa ki
Narasumber
Rizky
Lagi sibuk gak, gw mau minta tolong jawab
pertanyaan gw tentang Boston Major biar
memperkuat argument.
Pewawancara
Hnsen
Baru Kelar Dota nih hehehe. Boleh ki, perlu
improvisasi ga nih ki ?
Narasumber
Rizky
hahaha. Leh uga. Jawab dengan seobjektif ya.
Pewawancara
Hansen
Siap pak. Nanya apa nih?
Narasumber
Rizky
Menurut lo, TI6 sama boston major bagusan
mana sih? Mungkin dari segi event, or item di
battle passnya. Dan apa lo dah beli TI6 or Boston
Major?
Pewawancara
Hansen
Ohhh pastinya TI6 dong. Secara kompetisi lebih
bergengsikan, dan juga itemnya lebih menarik,
kaya item set, courier, legendary2nya. Kebetulan
kemarin gw beli yang TI6 tapi egga beli yag
Boston Major, karna yang Boston Major kurang
worth sih menurut gue.
Narasumber
Rizky
Lalu, ada gak temen lu yang beli Boston Major?
Pewawancara
Hansen
Yaa karna gw banyak friend di Dota juga ki. Yaa
pastinya ada aja yang beli, mungkin gara2
tertarik sama item set atau couriernya. Atau
mungkin kebanyakan duit hahaha.
Narasumber
Rizky
hahaha. Tapia apa lu gak kepengen beli juga tuh
liat temen lu ada yang beli ?
Pewawancara
Hansen
Karena gw udah ngikutin Dota lumayan lama,
jadi gw udah tau lah. Hadiah mana yang bagus
terus sesuai ga sama harga compendiumnya. Jadi
klo menurut gw, emang boston major kurang
worth buat dibeli sih.
Narasumber
Hasil Wawancara dengan Andreas
Rizky /
Andreas
Isi Percakapan
Keterangan
Rizky
Aan, gw mau tanya dong tentang battle pass..
Pewawancara
Andreas
Kenapa ki ?
Narasumber
Rizky
Menurut lo, bagus mana sih battle pass the
international vs boston major ? Mungkin dari
segi event or items
Pewawancara
Andreas
TI ki
Narasumber
Rizky
Kasih alesan dong haha
Pewawancara
Andreas
hmm mungkin gara2 TI jangka waktunya lebih
panjang kali ya. Jadi kalo lo ikutin event2nya
lebih banyak item2
Narasumber
Rizky
Terus, alesan lo gak beli boston major apa an?
Pewawancara
Andreas
Yang Jelas major typenya ga segede TI dan
waktunya lebih singkat, jadi males selesain
quest2nya
Narasumber
Rizky
haha. Terus an, lu punya temen yg beli boston ?
Pewawancara
Andreas
Ada kayaknya ki
Narasumber
Rizky
Oke an, makasih infonya ya haha.
Pewawancara
Hasil Wawancara dengan Aldi
Rizky /
Aldi
Isi Percakapan
Keterangan
Rizky
Dii aldi.. kemarin lu ngisih kuesioner gw jawab
gak beli boston major kan?
Pewawancara
Aldi
yoi
Narasumber
Rizky
gw mau ngasih pertanyaan buat tambahan
argument. Haha jawab ya
Pewawancara
Rizky
Menurut lo bagusan mana ti6 vs boston major?
Dan kenapa? Mungkin dari segi event atau
itemny
Pewawancara
Aldi
TI6 ky, dari segi evetnya keren abis g jelas,
mendunia, event intenational paling besar
Narasumber
Aldi
itemnya juga keren2, menariklah pokoknya, jauh
sama boston major
Narasumber
Aldi
itu aja sih kayanya dari gw ky, sok aja klo ada yg
mau ditanyain lagi
Rizky
Terus pertanyaan terakhir. Lo punya ga temen
yang beli Boston?
Pewawancara
Aldi
Banyakkk
Narasumber
Output Pre-test menggunakan Factor Analysis (SPSS versi 22)
Emotional Value (EJV)
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .843 Bartlett's Test of Sphericity Approx. Chi-Square 69.981
df 6
Sig. .000
Anti-image Matrices
EJV1 EJV2 EJV3 EJV4 Anti-image Covariance EJV1 .322 -.056 -.126 -.140
EJV2 -.056 .494 -.097 -.104 EJV3 -.126 -.097 .353 -.097 EJV4 -.140 -.104 -.097 .319 Anti-image Correlation EJV1 .818a -.140 -.373 -.435
EJV2 -.140 .898a -.233 -.263
EJV3 -.373 -.233 .846a -.290
EJV4 -.435 -.263 -.290 .823a
a. Measures of Sampling Adequacy(MSA)
Component Matrixa Component 1 EJV1 .899 EJV2 .829 EJV3 .892 EJV4 .904 Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .900 .904 4
Visual Authority Value (VAV)
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .844 Bartlett's Test of Sphericity Approx. Chi-Square 98.169
df 10
Sig. .000
Anti-image Matrices
VAV1 VAV2 VAV3 VAV4 VAV5 Anti-image Covariance VAV1 .315 -.142 -.136 -.065 .047
VAV2 -.142 .257 .012 -.064 -.113 VAV3 -.136 .012 .419 -.026 -.122 VAV4 -.065 -.064 -.026 .355 -.119 VAV5 .047 -.113 -.122 -.119 .312 Anti-image Correlation VAV1 .811a -.500 -.374 -.194 .151
VAV2 -.500 .825a .036 -.211 -.400
VAV3 -.374 .036 .870a -.068 -.338
VAV4 -.194 -.211 -.068 .901a -.358
VAV5 .151 -.400 -.338 -.358 .823a
a. Measures of Sampling Adequacy(MSA)
Component Matrixa Component 1 VAV1 .868 VAV2 .904 VAV3 .832 VAV4 .870 VAV5 .875 Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .912 .920 5
Monetaru Value (MOV)
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .820 Bartlett's Test of Sphericity Approx. Chi-Square 74.061
df 6
Sig. .000
Anti-image Matrices
MOV1 MOV2 MOV3 MOV4 Anti-image Covariance MOV1 .329 -.156 -.045 -.122
MOV2 -.156 .397 -.105 -.016 MOV3 -.045 -.105 .328 -.161 MOV4 -.122 -.016 -.161 .317 Anti-image Correlation MOV1 .821a -.432 -.136 -.377
MOV2 -.432 .841a -.289 -.044
MOV3 -.136 -.289 .819a -.498
MOV4 -.377 -.044 -.498 .802a
a. Measures of Sampling Adequacy(MSA)
Component Matrixa Component 1 MOV1 .898 MOV2 .865 MOV3 .895 MOV4 .895 Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .905 .911 4
Character Identification (CRI)
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .747 Bartlett's Test of Sphericity Approx. Chi-Square 62.473
df 6
Sig. .000
Anti-image Matrices
CRI1 CRI2 CRI3 CRI4 Anti-image Covariance CRI1 .262 -.179 -.031 -.184
CRI2 -.179 .475 -.124 .057 CRI3 -.031 -.124 .510 -.138 CRI4 -.184 .057 -.138 .333 Anti-image Correlation CRI1 .698a -.507 -.084 -.624
CRI2 -.507 .760a -.253 .145
CRI3 -.084 -.253 .860a -.336
CRI4 -.624 .145 -.336 .715a
a. Measures of Sampling Adequacy(MSA)
Component Matrixa Component 1 CRI1 .917 CRI2 .809 CRI3 .825 CRI4 .870 Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .876 .878 4
Satisfaction (STF)
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .898 Bartlett's Test of Sphericity Approx. Chi-Square 162.317
df 10 Sig. .000 Anti-image Matrices STF1 STF2 STF3 STF4 STF5 Anti-image Covariance STF1 .225 -.031 -.066 -.071 .005 STF2 -.031 .194 -.052 -.016 -.061 STF3 -.066 -.052 .201 -.012 -.043 STF4 -.071 -.016 -.012 .150 -.071 STF5 .005 -.061 -.043 -.071 .136 Anti-image Correlation STF1 .910a -.148 -.309 -.388 .027 STF2 -.148 .921a -.262 -.092 -.377 STF3 -.309 -.262 .923a -.067 -.258 STF4 -.388 -.092 -.067 .877a -.496 STF5 .027 -.377 -.258 -.496 .866a
a. Measures of Sampling Adequacy(MSA)
Component Matrixa Component 1 STF1 .917 STF2 .932 STF3 .931 STF4 .945 STF5 .949 Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .961 .964 5
Social Influence (SIN)
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .864 Bartlett's Test of Sphericity Approx. Chi-Square 89.445
df 10
Sig. .000
Anti-image Matrices
SIN1 SIN2 SIN3 SIN4 SIN5 Anti-image Covariance SIN1 .372 -.116 -.024 -.104 -.031
SIN2 -.116 .305 -.062 -.056 -.141 SIN3 -.024 -.062 .475 -.157 .032 SIN4 -.104 -.056 -.157 .280 -.090 SIN5 -.031 -.141 .032 -.090 .429 Anti-image Correlation SIN1 .887a -.343 -.056 -.322 -.077
SIN2 -.343 .857a -.162 -.192 -.390
SIN3 -.056 -.162 .869a -.432 .070
SIN4 -.322 -.192 -.432 .840a -.259
SIN5 -.077 -.390 .070 -.259 .875a
a. Measures of Sampling Adequacy(MSA)
Component Matrixa Component 1 SIN1 .863 SIN2 .896 SIN3 .789 SIN4 .908 SIN5 .821 Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .905 .908 5
Purchase Intention (PIN)
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .835 Bartlett's Test of Sphericity Approx. Chi-Square 60.208
df 6
Sig. .000
Anti-image Matrices
PIN1 PIN2 PIN3 PIN4 Anti-image Covariance PIN1 .454 -.112 -.100 -.129
PIN2 -.112 .386 -.170 -.080 PIN3 -.100 -.170 .365 -.116 PIN4 -.129 -.080 -.116 .478 Anti-image Correlation PIN1 .861a -.267 -.245 -.277
PIN2 -.267 .816a -.454 -.186
PIN3 -.245 -.454 .807a -.278
PIN4 -.277 -.186 -.278 .868a
a. Measures of Sampling Adequacy(MSA)
Component Matrixa Component 1 PIN1 .855 PIN2 .878 PIN3 .889 PIN4 .842 Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items .886 .889 4
Lampiran
Syntax Measurement
Raw Data from File final.psf Observed Variables x1-x27 y1-y4
Latent variables: EJV VAV MOV PV CRI STF SIN PIN Relationship: x1 -x4=EJV x5 -x9=VAV x10 -x13=MOV x14 -x17=CRI x18 -x22=STF x23 -x27=SIN y1 -y4=PIN
EJV VAV MOV=PV
set error variance of x6 to 0.6 Options:AD=OFF
Path Diagram End of Problem Sample Size= 155
SYNTAX STRUKTURAL
Raw Data from File FINAL.psf Latent variables: PV STF SIN PIN CRI Relationship:
EJV VAV MOV=PV x14 -x17=CRI x18 -x22=STF x23 -x27=SIN y1 -y4=PIN
PIN=PV STF SIN CRI
set error variance of EJV to 0.3 Options:SC
Path Diagram End of Problem Sample Size= 155
SYNTAX PSF
Raw Data from File FINAL.psf
Latent variables: PV STF SIN PIN CRI
Relationship: EJV VAV MOV=PV x14 -x17=CRI x18 -x22=STF x23 -x27=SIN y1 -y4=PIN
PIN=PV STF SIN CRI
set error variance of EJV to 0.3 Options:SC Path Diagram End of Problem Sample Size = 155
Goodness of Fit Statistics
Degrees of Freedom = 180Minimum Fit Function Chi-Square = 366.04 (P = 0.00)
Normal Theory Weighted Least Squares Chi-Square = 315.84 (P = 0.00) Estimated Non-centrality Parameter (NCP) = 135.84
90 Percent Confidence Interval for NCP = (90.29 ; 189.25) Minimum Fit Function Value = 2.38
Population Discrepancy Function Value (F0) = 0.88 90 Percent Confidence Interval for F0 = (0.59 ; 1.23)
Root Mean Square Error of Approximation (RMSEA) = 0.070 90 Percent Confidence Interval for RMSEA = (0.057 ; 0.083) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.0067 Expected Cross-Validation Index (ECVI) = 2.71 90 Percent Confidence Interval for ECVI = (2.42 ; 3.06) ECVI for Saturated Model = 3.00
ECVI for Independence Model = 17.90
Chi-Square for Independence Model with 210 Degrees of Freedom = 2715.31 Independence AIC = 2757.31 Model AIC = 417.84 Saturated AIC = 462.00 Independence CAIC = 2842.22 Model CAIC = 624.05 Saturated CAIC = 1396.03 Normed Fit Index (NFI) = 0.87 Non-Normed Fit Index (NNFI) = 0.91 Parsimony Normed Fit Index (PNFI) = 0.74 Comparative Fit Index (CFI) = 0.93 Incremental Fit Index (IFI) = 0.93 Relative Fit Index (RFI) = 0.84 Critical N (CN) = 96.53
Root Mean Square Residual (RMR) = 0.088 Standardized RMR = 0.057
Goodness of Fit Index (GFI) = 0.83 Adjusted Goodness of Fit Index (AGFI) = 0.78 Parsimony Goodness of Fit Index (PGFI) = 0.65
