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Vol. 03, No. 10, October 2023
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IJSSR Page 2603
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This work is licensed under a Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Analysis Of Agency Level Financial Application Systems In
The Secretariat General Work Unit Ministry Of Internal
Affairs
Heni Suryanti
Accountancy, Universitas Nasional, Jakarta, Indonesia
Email: [email protected]
Keywords
ABSTRACT
Agency Level, Financial Application
System, Ministry, Internal Affairs,
SAKTI, Net Benefit.
This Study aim for analyze influence success system
application finance level agency (SAKTI) towards net benefits
through satisfaction user through mediating variables . The
purpose of study This is For measure how much success
implementation of Financial Institutions System Application
(SAKTI) is medium in trial stage beginning and for investigate
influencing factors success use of success models information
DeLone and McLean systems. Data from studies causal-
explanatory This is collected from distributed questionnaires
to 46 users working at Secretariat Elected General of the
Ministry of Home Affairs through purposive sampling method
. The result of analysis using Partial Least Square (PLS),
method alternative Structural Equation Modeling (SEM),
shows that quality system , quality information and quality
SAKTI services are influential positive to satisfaction user . The
results also show that satisfaction user influential positive to
benefit SILENTLY clean .
INTRODUCTION
Development technology information influential important to change life humans in the era of
globalization this . This thing showed with it's easy accept or upload information , so information spread
with fast (Nasution & Nasution, 2022) . Technology Information has enter into the life everyday and
widespread to various activity so that all over activity can held with fast , precise and accurate, and
improve performance as well as productivity (Santoso et al., 2018) .
Current Indonesian government This currently activate policy new through utilization
technology information and communication in the environment government central and regional
(Sihotang, 2020) . Governance good government is one the form of reform carried out Indonesian
government towards development system information with realize policy through system Electronic
Government (E-Government) (Sihotang, 2020) . Eggers & Bellman (2015) describe e-government as use
targeted technology For increase access and delivery information and services administration For
interest citizens and workers.
Manageme nt state finances in Indonesia through application e-government in form Integrated
Financial Management Information System (IFMIS) (Amriani & Iskandar, 2019; Rukmiyati & Budiartha,
2016). Use manual system or system separately in management budget and accounting processes give
rise to various problem so that implementation of IFMIS aims For overcome problems arising from use
the system (Iskandar et al., 2015; Romney & Steinbart, 2009). IFMIS is system recorded information
transaction finances and take conclusion from financial data. This system consists from a number of
subsystem important in cycle management finance government, start from planning budget,
International Journal of Asian Education ,
Heni Suryanti
IJSSR Page 2604
implementation budget, audit, evaluation results and performance finance (Fuady & Iskandar, 2017;
Zulma & Azis, 2019).
Implementation of IFMIS in scope Satker experience improvement with use integrated
applications with business processes management state finances (Mukhtaromin, 2018) . Ministry of
Finance ( DG Treasury ) continues develop technology information For increase quality and convenience
management finance public . System Application Institution Level Finance (SAKTI) developed by the
Ministry of Finance is solution integrated For manage state finances at the work unit level (Korah et al.,
2022) . SAKTI is combining applications application Satker become One application , so user No need
use Lots application For manage state finances (Korah et al., 2022) . Simplification system application
This aim For reduce duplication work and repetition data entry (Maghfiroh & Nuryana, 2022).
Integrated applications in SAKTI includes RKAKL DIPA application as module budget , SAS
applications as module commitment and payment , SILABI application as module treasurer , SIMAK BMN
application as module asset fixed , app supply as module supplies , and SAIBA applications as module
receivables and reporting (Korah et al., 2022) . SAKTI is combined from a number of applications used
by those who have function finances in work units , such as power user budget , maker commitment
and officials SPM signatory , and treasurer in accordance roles and responsibilities answer each, for
accessing SAKTI Will be submitted to those who run it function treasury (AS Marpaung, 2015) .
Kurniawan et al., (2020) adopting the above DeLone and McLean (2003) is success model
Analysis Success Implementation Application Online Single Submission to District DPMPTSP Buleleng .
The results of the research show that system quality, information quality , and service quality influential
positive to level satisfaction user amounting to 64.55%.
This study done based on study Hadi (2022) did it study about influencing factors success
introduction SAKTI application from corner look users in 9 (Nine) ministries. Research results show
that quality system and quality information influential positive significant to satisfaction users and
satisfaction user influential positive significant to benefit clean (Aisyah, 2020). Study Marpaung, G
(2022) do research on Success System Information on Bontang City Covid-19 Data . Research results
This find that System Quality, Information Quality, Service Quality, Usage , and User Satisfaction influential
positive to Net Benefits . Research results by Marpaung, (2022) , Hadi (2022) , Hidayatullah et al., (2020)
, Sari et al., (2020) , stated that variable quality information influential positive to Satisfaction user.
Temporary instead, research Amriani & Iskandar, (2019) , Kader & Ali, (2012) stated that variable
quality information influential negative to satisfaction user. Research objectives This For research about
quality information , system quality, quality service, quality information, quality service, satisfaction
users and benefits clean MAGIC?
The Theory of Planned Behavior ( TPB) was developed by Icek Ajzen in 1988 development from
the Theory of Reasoned Action (TRA). The Theory of Reasoned Action (TRA) explains that behavior done
Because individual own intention or desire For do it in theory This Not yet apply variable Control
Behavior Perception ( perceived behavioral control ). TPB knows possibility that No all behavior done in
a way full under control individual nor group, So Control Behavior Perception added For overcome
behaviors sort of this. If all behavior can controlled in a way full of individuals nor group, then TPB
returns become TRA (Ajzen, 2012). The Theory of Planned Behavior (TPB) explains that behavior
individual appear because exists intention for behavior and intentions behave determined by three
factors, namely: Behavioral Beliefs is confidence individual will results from something behavior and
evaluation on results these, Normative Beliefs , namely confidence about hope other people's norms and
motivation For fulfil hope the, Control Beliefs is confidence about existence supportive things or hinder
behavior that will displayed and perceived about how much strong things that support and hinder their
behavior (perceived power) (Wati & Surjanti, 2018).
DeLone and McLean Model Information system measure level success from A system
information in a model that analyzes factors related his success. DeLone and McLean (1992) created a
International Journal of Social Service and Research https://ijssr.ridwaninstitute.co.id/
IJSSR Page 2605
success model system information and advise that the researchers must in a way systematic combine
sizes individual from category success system information for create A instrument gauge
comprehensive success (Hermanto et al., 2019; Zakiah et al., 2022). Based on research about
communication carried out by Shannon & Weaver (1949), as well as studies empirical work carried out
by Management Information Systems (MIS) in 1981-1987, a model of success system comprehensive
and multidimensional information developed that is quality system, quality information, quality
service, usage, user satisfaction, net benefits.
METHODS
This source of research data can use quantitative data stated in numbers. Quantitative data the
obtained with conduct a survey of SAKTI users in the preparation process report finance government .
This thing done with the intention to obtain accurate results . Data sources used in study This is primary
data sources distributed to employees unit work at the Secretariat General of the Ministry of Home
Affairs who uses system application finance level agency (SAKTI). Data collection methods used in study
This is with method self-administrative survey with tool help distributed questionnaires to SAKTI users
at the Secretariat General of the Ministry of Home Affairs regarding related things with the problem
under study . Type of questionnaire in study This that is questionnaire closed , where respondents only
give answer in accordance with what 's been provided by the researcher . Additionally , in spread a
questionnaire is also included instruction clear filling For makes it easier respondents in do charging .
Charging questionnaire in study This use scale likert using five numbers evaluation namely : absolutely
not agree , no agree , undecided, agree , strongly agree .
RESULTS
Questionnaire study This made with use tool help Google Form and distributed in a way online .
Data collection was carried out for two weeks , starting from December 19 , 2022 until by December 30
2022 and there are 46 questionnaire data entered to in Google Forms Spreadsheets . All questionnaire
data has verified and eligible For tested in a way statistics .
Statistical data participating respondents in study This in full can seen in Table 1 as following:
Table 1. Statistics Response Respondent To Construct Quality System
Items
Min
Max
Mean
KS1
3
5
4.4565
KS2
3
5
4.4130
KS3
3
5
4.4565
KS4
3
5
4.3261
KS5
3
5
4.5217
KS6
3
5
4.4348
KS7
3
5
4.4565
Grand Mean
4.4378
Source : Primary data processed in 2023
In table 1 it can be seen that grand mean show the number 4.4378 so can concluded that
respondents in a way general give response agree to submitted statement in connection with quality
SAKTI system . Items that have highest average value is KS5 related with indicator Response Time . That
thing show that, according to perception users, the SAKTI application is capable updated (updated )
adapt development and change need in implementation task management state finances. Apart from
that, respondents also assessed that SAKTI application has good response time to user, application
capable makes it easier and faster in use of SAKTI.
Description Response Respondent To Construct Quality Information
International Journal of Asian Education ,
Heni Suryanti
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Table 2. Statistics Response Respondent To Construct Quality Information
Items
N
Min
Max
Mean
KI1
46
3
5
4.4783
KI2
46
3
5
4.3913
KI3
46
3
5
4.4348
KI4
46
3
5
4.3696
KI5
46
2
5
4.4783
KI6
46
3
5
4.3043
Grand Mean
4.4094
Source : Primary data processed in 2023
In table 2 it can be seen that grand mean show the number 4.4049 so can concluded that
respondents in a way general give response agree to submitted statement in connection with quality
SAKTI information . The statement item that has the highest average is the associated KI1 with indicator
accuracy , then followed with related KI5 items with indicator currency . That thing show that according
to perception users , the SAKTI application is capable produce information form report or up -to-date
documents as results latest data processing . Update the information produced SAKTI application is
something superiority compared to with application predecessor . SAKTI has integrate a number of
applications that have different functions and databases so that moment This is the data updating
process for compile something report can done in a way simultaneously without need to import data
from another system . Additionally , based on average value on KI1 items according to perception SAKTI
users are capable obtain information report or correct and accurate documents .
Description Response Respondent To Construct Quality Service
Table 3. Statistics Response Respondent To Construct Quality Service
Items
Min
Max
Mean
KL1
1
5
4.3696
KL2
3
5
4.4565
KL3
3
5
4.4565
KL4
3
5
4.4565
KL5
2
5
4.3696
KL6
3
5
4.3913
KL7
3
5
4.5870
KL8
3
5
4,5000
KL9
3
5
4.4130
Grand Mean
4.4388
Source : Primary data processed in 2023
In table 3 it can be seen that grand mean show number 4.4388 so can concluded that
respondents in a way general give response agree to submitted statement in connection with quality
SAKTI services . Statement items that have highest average value is a related KL7 item with indicator
assurance . His height given value respondents against item KL7 shows that , according to perception
users , SITP Directorate and HAI- DJPb willing help and provide service help with Good when SAKTI
users discover problem .
Description Response Respondent To Construct Satisfaction User
Table 4. Statistics Response Respondent To Construct Satisfaction User
Items
N
Min
Max
Mean
KP1
46
3
5
4.4783
KP2
46
3
5
4.4783
KP3
46
2
5
4.4565
KP4
46
1
5
4.3696
Grand Mean
4.4456
Source : Primary data processed in 2023
In table 4 it can be seen that grand mean show the number 4.4456 so can concluded that
respondents in a way general give response agree to submitted statement in connection with
International Journal of Social Service and Research https://ijssr.ridwaninstitute.co.id/
IJSSR Page 2607
satisfaction SAKTI users. The statement item that has the highest average is the related KP1 item
indicator with system fit for need , then followed with related KP2 items with indicator system
effectiveness. Their height given value respondents against item KP1 shows a that, according to
perception user, capabilities SAKTI application is capable adapt need user in management state
finances. Additionally, based on average value on KP2 items according to perception users, the
effectiveness of SAKTI in operate its function one way with objective from system that.
Description Response Respondent To Net Benefit Construct
Table 5. Statistics Response Respondent To Net Benefit Construct
Items
N
Min
Max
Mean
MB1
46
3
5
4.4783
MB2
46
3
5
4.4783
MB3
46
3
5
4.4565
MB4
46
2
5
4.3696
MB5
46
3
5
4.4565
Grand Mean
4.4478
Source : Primary data processed in 2023
In table 5 it can be seen that grand mean show the number 4.4478 so can concluded that
respondents in a way general give response agree to submitted statement in connection with benefit
SILENTLY clean . Statement items that have highest average value are the representative items MB1 and
MB2 indicator usefulness . His height given value respondents against item MB1 shows that , according
to perception users , the SAKTI application makes it easy solution work its users with So , SAKTI is also
capable speed up work in manage state finances .
This study use indicator construct reflective . Measurement model or Outer Model This build
connection between bunch indicator with variable latent and refers to the Outer Model (Ghozali & Latan,
2015) . Following rule of thumb evaluation outer model :
Table 6. Criteria PLS Assessment- Measurement Model Evaluation Reflective
Criteria
Parameter
Rule of Thumb
Convergent Validity
Loading Factor
0.60 – 0.70
Average Variance Extraced
>0.50
Composite Reliability
0.60 – 0.70
Discriminant
Validity
Cronbach's Alpha
>0.60 - 0.70
Source : Ghozali & Latan (2015)
Following results testing outer model uses device lunask Smart pls 3.29 :
Table 7. Results of Loading Factor Values
Indicators
Loading
Factor
Value
Standard
Conclusion
X1A
0.709
0.60 -
0.70
Valid
X1B
0.716
0.60 -
0.70
Valid
X1C
0.731
0.60 -
0.70
Valid
X1D
0.607
0.60 -
0.70
Valid
X1E
0.531
0.60 -
0.70
Invalid
International Journal of Asian Education ,
Heni Suryanti
IJSSR Page 2608
X1F
0.664
0.60 -
0.70
Valid
X1G
0.491
0.60 -
0.70
Invalid
X2A
0.559
0.60 -
0.70
Invalid
X2B
0.652
0.60 -
0.70
Valid
X2C
0.748
0.60 -
0.70
Valid
X2D
0.678
0.60 -
0.70
Valid
X2E
0.662
0.60 -
0.70
Valid
X2F
0.556
0.60 -
0.70
Invalid
X3A
0.304
0.60 -
0.70
Invalid
X3B
0.728
0.60 -
0.70
Valid
X3C
0.804
0.60 -
0.70
Valid
X3D
0.782
0.60 -
0.70
Valid
X3E
0.701
0.60 -
0.70
Valid
X3F
0.542
0.60 -
0.70
Invalid
X3G
0.719
0.60 -
0.70
Valid
X3H
0.709
0.60 -
0.70
Valid
X3I
0.765
0.60 -
0.70
Valid
Yes
0.674
0.60 -
0.70
Valid
Yb
0.694
0.60 -
0.70
Valid
Yc
0.637
0.60 -
0.70
Valid
Yd
0.801
0.60 -
0.70
Valid
Ye
0.610
0.60 -
0.70
Valid
ZA
0.737
0.60 -
0.70
Valid
ZB
0.751
0.60 -
0.70
Valid
ZC
0.733
0.60 -
0.70
Valid
Z.D
0.652
0.60 -
0.70
Valid
Source : processed data smartpls (2023)
Table 8. Results of Cronbach alpha, Composite reliability, and AVE
Cronbach's
Alpha
rhoA
Composite
Reliability
Average
Variance
Extracted
(AVE)
International Journal of Social Service and Research https://ijssr.ridwaninstitute.co.id/
IJSSR Page 2609
X1
0.757
0.771
0.828
0.412
X2
0.721
0.725
0.810
0.417
X3
0.850
0.864
0.886
0.475
Y
0.716
0.725
0.815
0.471
Z
0.695
0.705
0.810
0.517
Source : processed data smartpls (2023)
Based on testing outer model , value loading factor still there are values below 0.60 . As well as
based on testing AVE value still some are below 0.5 then done selection indicator study namely X1E,
X1G, X2 A, X 2F, X3A, and X3F as well done testing stage second For outer model. Test value stage second
seen in the table following :
Table 9. Results of Loading Factor Values
Indicators
Loading
Factor
Value
Standard
Conclusion
X1A
0.746
0.60 -
0.70
Valid
X1B
0.730
0.60 -
0.70
Valid
X1C
0.741
0.60 -
0.70
Valid
X1D
0.598
0.60 -
0.70
Invalid
X1F
0.698
0.60 -
0.70
Valid
X2B
0.695
0.60 -
0.70
Valid
X2C
0.737
0.60 -
0.70
Valid
X2D
0.703
0.60 -
0.70
Valid
X2E
0.718
0.60 -
0.70
Valid
X3B
0.743
0.60 -
0.70
Valid
X3C
0.800
0.60 -
0.70
Valid
X3D
0.769
0.60 -
0.70
Valid
X3E
0.717
0.60 -
0.70
Valid
X3G
0.746
0.60 -
0.70
Valid
X3H
0.743
0.60 -
0.70
Valid
X3I
0.769
0.60 -
0.70
Valid
Yes
0.689
0.60 -
0.70
Valid
Yb
0.673
0.60 -
0.70
Valid
Yc
0.645
0.60 -
0.70
Valid
Yd
0.804
0.60 -
0.70
Valid
Ye
0.598
0.60 -
0.70
Invalid
International Journal of Asian Education ,
Heni Suryanti
IJSSR Page 2610
ZA
0.737
0.60 -
0.70
Valid
ZB
0.760
0.60 -
0.70
Valid
ZC
0.728
0.60 -
0.70
Valid
Z.D
0.644
0.60 -
0.70
Valid
Source : processed data smartpls (2023)
Table 10. Results of Cronbach alpha, Composite reliability, and AVE
Cronbach's
Alpha
rhoA
Composite
Reliability
Average
Variance
Extracted
(AVE)
X1
0.744
0.749
0.831
0.497
X2
0.683
0.685
0.806
0.509
X3
0.876
0.880
0.903
0.571
Y
0.716
0.727
0.814
0.470
Z
0.695
0.708
0.810
0.516
Source : processed data smartpls (2023)
Based on testing outer model , value loading factor still there are values below 0.60 . As well as
based on testing AVE value still some are below 0.5 then done selection indicator study namely X1D and
Ye as well as done testing stage third for outer model. Test value stage second seen in the table following:
Table 11. Results of Loading Factor Values
Indicators
Loading
Factor
Value
Standard
Conclusion
X1A
0.793
0.60 -
0.70
Valid
X1B
0.724
0.60 -
0.70
Valid
X1C
0.748
0.60 -
0.70
Valid
X1F
0.739
0.60 -
0.70
Valid
X2B
0.699
0.60 -
0.70
Valid
X2C
0.745
0.60 -
0.70
Valid
X2D
0.710
0.60 -
0.70
Valid
X2E
0.704
0.60 -
0.70
Valid
X3B
0.746
0.60 -
0.70
Valid
X3C
0.809
0.60 -
0.70
Valid
X3D
0.774
0.60 -
0.70
Valid
X3E
0.718
0.60 -
0.70
Valid
X3G
0.738
0.60 -
0.70
Valid
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X3H
0.730
0.60 -
0.70
Valid
X3I
0.771
0.60 -
0.70
Valid
Yes
0.722
0.60 -
0.70
Valid
Yb
0.647
0.60 -
0.70
Valid
Yc
0.694
0.60 -
0.70
Valid
Yd
0.830
0.60 -
0.70
Valid
ZA
0.739
0.60 -
0.70
Valid
ZB
0.761
0.60 -
0.70
Valid
ZC
0.723
0.60 -
0.70
Valid
Z.D
0.646
0.60 -
0.70
Valid
Source : processed data smartpls (2023)
Table 12. Results of Cronbach alpha, Composite reliability, and AVE
Cronbach's
Alpha
rhoA
Composite
Reliability
Average
Variance
Extracted
(AVE)
X1
0.743
0.746
0.838
0.564
X2
0.683
0.682
0.807
0.511
X3
0.876
0.882
0.903
0.571
Y
0.703
0.726
0.816
0.528
Z
0.695
0.708
0.810
0.516
Source : processed data smartpls (2023)
Based on testing outer model , value loading factor indicator already above 0.60 . As well as based
on testing the AVE value is above 0.5. The Cronbach Alpha value is above 0.6 and the Composite
Reliability value is above 0.6. So based on model testing meets criteria . Furthermore done testing Inner
Model.
Table 13. Inner Model Test Results (R
2
)
Variable
Adjusted R Square
Y
0.973
Z
0.906
Source : Data processed (2023)
Table above show Adjusted R-square value for Variable Y is 0.973, here means that variation for
variable in the form of Y which can be explained by variables X1, X 2, X 3 and Z of 97.3%. Whereas the
remaining 2.7% is explained by other variables that are not found in research this . Variable
intermediate (Z) value Adjusted R-square of 0.906, this means that variation For variable in the form of
Z which can be explained by variables X1, X 2, X 3 of 90.6%. Whereas the remaining 9.4% is explained
by other variables that are not found in research this .
Stage furthermore is test influence of each variable independent to variable dependent . The t
test was used For prove influence between variable independent to variable dependent in something
study results testing hypothesis in study This can presented in tables and figures following :
International Journal of Asian Education ,
Heni Suryanti
IJSSR Page 2612
Table 14. Hypothesis Test Results Direct
Track
Coefficient
t value
P
Values
Results
Conclusion
X1 -> Z
0.308
3,816
0,000
Positive
significant
Accepted
X2 -> Z
0.426
3,515
0,000
Positive
significant
Accepted
X3 -> Z
0.302
2,517
0.006
Positive
significant
Accepted
Z -> Y
0.427
2,738
0.003
Positive
significant
Accepted
Source : Data processed (2023)
Table 15. Hypothesis Test Results Intermediary
Coefficient
t value
P
Values
Results
Conclusion
X1 ->
Z -> Y
0.132
2,351
0.010
X1 is influential against Y Through Z
Accepted
X2 ->
Z -> Y
0.182
2,195
0.014
X2 is influential against Y Through Z
Accepted
X3 ->
Z -> Y
0.129
1,688
0.046
The X3 is influential against Y
Through Z
Accepted
Source : Processed data (2022)
Figure 1. Hypothesis Test Results Direct and Mediation
Source : SmartPLS 3.29 Output (2023)
Influence Quality Information to Satisfaction User
Based on hypothesis test results First use SmartPLS version 3.29 on table is known Quality
Information (X
1
) P value is 0.000 < 0.05 and t value is 3.816 < 1.96; as well as mark coefficient of 0.308.
Therefore that, H
1
accepted, so can concluded that Quality Information influential positive and
significant to satisfaction user.
Hypothesis first to say Quality Information influential positive and significant to Satisfaction
User accepted . This thing means the more tall Quality Information so user the more feel satisfaction .
Influence Quality System to Satisfaction User
Based on hypothesis test results second use SmartPLS version 3.29 on table on is known Quality
System (X
2
) P value is 0.000 < 0.05 and t value is 3.515 > 1.96; as well as mark coefficient of 0.426.
Therefore that, H
2
accepted , so can concluded that Quality System influential positive and significant
to Satisfaction User.
Influence Quality Service to Satisfaction User
Based on hypothesis test results third use SmartPLS version 3.29 on table on is known Quality
Service (X
3
) P value is 0.006<0.05 and t value is 2.517>1.96; as well as mark coefficient of 0.302.
International Journal of Social Service and Research https://ijssr.ridwaninstitute.co.id/
IJSSR Page 2613
Therefore that, H
3
accepted , so can concluded that Quality Service influential positive and significant
to Satisfaction User.
Influence Quality Information to Net Benefits through Satisfaction User
Based on hypothesis test results fourth use SmartPLS version 3.29 on table on is known X1 →Z
→Y P value is 0.010 < 0.05 and mark coefficient of 0.132. Therefore that , H
4
accepted , so can concluded
that Quality Information influential positive to benefit clean through Satisfaction User .
Influence Quality System to Net Benefits through Satisfaction User
Based on hypothesis test results fifth use SmartPLS version 3.29 on table on is known X2 →Z
→Y P value is 0.014 < 0.05; as well as mark coefficient of 0.182. Therefore that , H
5
accepted , so can
concluded that Quality System influential positive to benefit clean through Satisfaction User .
Influence Quality Service to Net Benefits through Satisfaction User
Based on hypothesis test results sixth use SmartPLS version 3.29 on table on is known X3 →Z
→Y P value is 0.046 < 0.05 as well mark coefficient of 0.129. Therefore that , H
6
accepted , so can
concluded that Quality Service influential positive to benefit clean through Satisfaction User .
Influence Satisfaction User to Net Benefits
Based on hypothesis test results sixth use SmartPLS version 3.29 on table on is known Z →Y P
value is 0.003 < 0.05 as well mark coefficient of 0.427. Therefore that , H
6
accepted , so can concluded
that Satisfaction User influential positive to benefit clean.
CONCLUSION
In context system information and satisfaction users , quality information, quality system, and
quality service play role crucial. Quality information in a website, with factors like complete information,
easy access, good design, service adequate customers, as well security transaction, yes in a way positive
influence satisfaction user. Similar thing applies For quality system information, where the system is
good contribute to satisfaction user. Apart from that , quality good service also be factor important in
reach satisfaction user with fulfil hope customer to services provided. Satisfaction user , as results end
from interaction with system information, in turn influence benefit net received by the user. The more
tall satisfaction users , increasingly big benefits obtained from application or system information that.
With So, it's important for organizations and developers system information for ensure that quality
information , quality system , and quality service they fulfil standard high so you can give benefit optimal
cleanliness to user.
REFERENCES
Aisyah, M. (2020). Pengaruh Kualitas Sistem, Kualitas Informasi, Kualitas Layanan, Penggunaan,
Kepuasan Pengguna, dan Manfaat Bersih Monsoonsim Berdasarkan Model Keberhasilan Delone
dan Mclean Pada Mahasiswa/I Akuntansi Universitas Islam Indonesia.
Ajzen, I. (2012). Martin Fishbein’s legacy: The reasoned action approach. The Annals of the American
Academy of Political and Social Science, 640(1), 11–27.
https://doi.org/10.1177/0002716211423363
Amriani, T. N., & Iskandar, A. (2019). Analisis Kesuksesan Implementasi Sistem Aplikasi Keuangan
Tingkat Instansi (SAKTI) pada Satuan Kerja di Lingkungan Badan Pendidikan dan Pelatihan
Keuangan (BPPK). Kajian Ekonomi & Keuangan, 1(1).
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent
variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success:
a ten-year update. Journal of Management Information Systems, 19(4), 9–30.
https://doi.org/10.1080/07421222.2003.11045748
Eggers, W. D., & Bellman, J. (2015). The journey to government ’ s digital transformation.
Fuady, M. S., & Iskandar. (2017). Strategi Automasi Manajemen Keuangan Publik Di Indonesi. Gaurda, 1,
International Journal of Asian Education ,
Heni Suryanti
IJSSR Page 2614
280–309.
Ghozali, I., & Latan, H. (2015). Partial Least Squares Konsep, Teknik, dan Aplikasi Menggunakan Program
SmartPLS 3.0. Penerapan Model Delon And Mclean Untuk Mengukur Kesuksesan Penerapan
Presensi Mahasiswa On Line Badan Penerbit Universiatas Diponegoro.
Hadi, M. (2022). Faktor yang Memengaruhi Keberhasilan Implementasi Aplikasi SAKTI Berdasarkan
Perspektif Pengguna. Akuntansi Kompetif.
Hermanto, N., Nurfaizah, N., & Riyanto, N. R. D. (2019).. Probisnis, 11(2), 43–53.
https://doi.org/10.35671/probisnis.v11i2.782
Hidayatullah, S., Khouroh, U., & Windhyastiti, I. (2020). Jurnal Teknologi dan Manajemen Informatika
Implementasi Model Kesuksesan Sistem Informasi DeLone And McLean Terhadap Sistem
Pembelajaran Berbasis Aplikasi Zoom Di Saat Pandemi. Jurnal Teknologi Dan Manajemen
Informatika, 6(1), 44–52.
Iskandar, A., Amriani, T. N., & Subekan, S. (2015). Analisis Dimensi Kesuksesan Implementasi Sistem
Aplikasi Keuangan Tingkat Instansi (Sakti) Pada Satuan Kerja Wilayah Provinsi Jawa Timur
Dengan Pendekatan Delone And Mclean Information System Success Model. Jurnal Tata Kelola
& Akuntabilitas Keuangan Negara, 2(2).
Kader, M. A. R. A., & Ali, R. (2012). Evaluating the Provision of Information System Performance in the
Public Education Sector : An Extension of DeLone and McLean Model. Gading Business and
Management Journal, 16(1), 1–22.
Korah, Y. C., Wantah, E., & Kewo, C. (2022). Identifikasi Masalah Dan Analisis Kebutuhan Pengembangan
Pedoman Materi Pelatihan Pengelolaan Keuangan Berbasis Aplikasi Sistem Akuntansi Tingkat
Instansi (Sakti) Pada Satuan Kerja Bawaslu Provinsi Sulawesi Utara. YUME : Journal of
Management ISSN :2614-851X, 5(3), 506–512. https://doi.org/10.37531/yume.vxix.325
Kurniawan, I. M. W. S., Dantes, G. R., & Indrawan, G. (2020). Analisis Kesuksesan Implementasi Aplikasi
Online Single Submission Menggunakan Metode Delone Dan Mclean. Janapati, 9(3), 326–337.
Maghfiroh, S., & Nuryana, I. K. D. (2022). Penerapan Metode TAM dan DeLone And McLean IS Succes
untuk Mengevaluasi Keberhasilan Aplikasi Lazada. Journal of Emerging Information System and
Business Intelligence (JEISBI), 3(3).
Marpaung, A. S. (2015). Analisis Pemanfaatan Aplikasi “Monitoring Sistem Aplikasi Keuangan Tingkat
Instansi (Monsakti)” Dengan Metode Unified Theory Of Acceptance And Use Of Technology
2(UTAUT 2) (Studi Pada Satuan Kerja Kementerian Keuangan di Wilayah DKI Jakarta). 2(Utaut
2).
Marpaung, G. (2022). Analisis Kesuksesan Sistem Informasi DATA COVID-19 Kota Bontang dengan
Pendekatan Model Delone dan McLean. Konstelasi, 2(2), 432–443.
Mukhtaromin. (2018). Kepuasan Pengguna Sistem Aplikasi Keuangan Tingkat Instansi ( Sakti ) Pada
Badan Pendidikan Dan Pelatihan Keuangan (Bppk). Simposium Nasional Keuangan Negara
Kepuasan, 588–602.
Nasution, R. N. A., & Nasution, J. (2022). Penerapan Aplikasi Sakti Dalam Pengelolaan Keuangan Di Badan
Narkotika Nasional ( BNN ) Provinsi Sumatera. Journal of Economics, Business, &
Entrepreneurship, 3(1), 3–6.
Romney, M. B., & Steinbart, P. J. (2009). Accounting Information Systems 13th. Pearson Education.
Rukmiyati, N. M. S., & Budiartha, I. K. (2016). Pengaruh kualitas sistem informasi, kualitas informasi dan
perceived usefulness pada kepuasan pengguna akhir software akuntansi (studi empiris pada
hotel berbintang di provinsi bali). E-Jurnal Ekonomi Dan Bisnis Universitas Udayana, 5(1), 115–
142.
Santoso, R., Munawi, H. A., & Sukmawati, D. (2018). Perkembangan Teknologi Informasi Dan
Telekomunikasi Terhadap Perubahan Perilaku Masyarakat. 586–592.
Sari, E. P., Sukardi, Tasrif, E., & Ambiyar. (2020). Optimalisasi Penggunaan E-learning dengan Model
International Journal of Social Service and Research https://ijssr.ridwaninstitute.co.id/
IJSSR Page 2615
Delone dan McClean. Journal of Education Technology, 4(2), 141–149.
Sihotang, J. S. (2020). Pengaruh Kualitas Sistem, Kualitas Layanan Dan Kualitas Informasi Terhadap
Kepuasan Pengguna Sistem Aplikasi Keuangan Tingkat Instansi (Sakti). ISSN: 2087 - 4669, 11(1),
1–9.
Wati, D. M., & Surjanti, J. (2018). Pengaruh Kecerdasan Emosional, Organizational Citizenship Behavior
(OCB) dan Kepuasan Kerja Terhadap Kinerja Karyawan pada PT PLN (Persero) Area Bojonegoro.
Jurnal Ilmu Manajemen, 6(4), 386–393.
Zakiah, A., Nur Haryanti, A. F., Utami, T., Nurrahman, A., Ritia, R., & Zamolistria, M. R. (2022).
Implementation Of The Delone & Mclean Method To Measure The Success Of The Performance
Accountability System Of Government Agencies (Sakip) Application In Supporting Good
Government, Case Study: Subang District Government. Central Asia & the Caucasus (14046091),
23(1).
Zulma, G. W. M., & Azis, A. D. (2019). EVALUASI KESUKSESAN PENERAPAN SISTEM E-SPT DENGAN
MODIFIKASI MODEL WANG DAN LIAO. Neraca Keuangan: Jurnal Ilmiah Akuntansi Dan
Keuangan, 14(1). https://doi.org/10.32832/neraca.v14i1.2400
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