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Reviewers Acknowledgement Articles CommIT Citation in Scopus Development of Game for Self-Help Toilet Learning for Children with Autism PDF Buy CommIT in Tokopedia Rahadian Kurniawan, Wuriandietry Mayang Purnamasari, Restu Rakhmawati, Dimas 1-12 Panji Eka Jalaputra Our Journal has been accredited by The Analysis of Factors Affecting the Buying Interest of E-Commerce Customers PDF : Harisno Harisno, Deborah Herby 13-18 Industry, Brand, and the Role of Digital Medium PDF Indro Adinugroho, Didit Hersanto, Antonina Renata Putri, Steﬃ Hartanto, Smitha 19-25 Sjahputri The Accountant Satisfaction in Using ERP Systems PDF Weli Weli 27-34 Our Journal is a member of: Performance Analysis on IEEE 802.11ah Standard with Enhanced Distributed Channel PDF Access Mechanism 35-42 Ana Oktaviana, Doan Perdana, Ridha Muldina Negara Performance of Clustering on ANFIS for Weather Forecasting PDF Candra Dewi 43-49 Factors Affecting the Successful Implementation of E-Government on Network PDF Documentation and Legal Information Website in Riau 51-57 Muhammad Ikhsan Wibowo, Albertus Joko Santoso, Djoko Budiyanto Setyohadi Our journal has been index in:

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Factors Affecting the Successful Implementation of E-Government on Network Documentation and Legal Information Website in Riau Muhammad Ikhsan Wibowo1, Albertus Joko Santoso2, and Djoko Budiyanto Setyohadi3 1−3Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, Yogyakarta 55281, Indonesia Email: 1ikhsan.ﬂ[email protected], [email protected], [email protected]

Abstract—Network documentation and legal informa- In Indonesia, the implementation of e-government tion website is a form of e-government applications such has been developed since 2003. An example of in- as Jaringan Dokumentasi dan Informasi Hukum (JDIH). stitutions that apply e-government in Indonesia is the JDIH website must be designed to be an effective and efficient information system. This study aims to deter- legal bureau of the Secretariat of the Riau provincial mine the success factors of the implementation of JDIH government. The legal bureau presents a government website. The DeLone and McLean model and the Unified website to provide web service of data catalogs in Theory Acceptance and Use of Technology (UTAUT) are the government regulations [5]. Jaringan Dokumentasi the models used in this study. The case study is conducted dan Informasi Hukum (JDIH) website provides legal in the Riau legal and human rights office. Data are obtained through questionnaires from 252 respondents in development tools and enhances the dissemination and the Riau provincial government and some communities. understanding of legal knowledge in Indonesia. JDIH The analysis uses Structural Equation Modeling (SEM) (http://jdih.riau.go.id/) is for community and govern- and Analysis of Moment Structure (AMOS). The results ment to seek and learn about legal information in the of this study show that nine hypotheses have positive province. effects. Meanwhile, four hypotheses have no positive effects on the success and use of JDIH website. The This study focuses on measuring the success of findings of this research will be used as a reference in e-government systems from the perspective of their the development of JDIH website in the future. users. According to Ref. [6], it is important to know Index Terms—Information System, DeLone and the success of e-government to plan the next neces- McLean Model, Unified Theory Acceptance and Use of sary action. JDIH is designed to be an effective and Technology (UTAUT), E-Government attractive information system to be widely used by users. For that reason, it is necessary to evaluate and confirm whether the legal bureau has provided legal I.INTRODUCTION information services as expected, and to measure how OVERNMENTS around the world are currently successful the legal bureau is in providing information G exploring opportunities in Information and Com- services to the public. munication Technology (ICT). Various areas of ser- The methods used by researchers to measure the vices of the government in the world begin to intro- success of this JDIH website are the Delone McLean duce information and online transactions known as e- model and Unified Theory Acceptance and Use of government [1]. E-government is created to improve Technology (UTAUT) [1]. The constructed Delone and efficiency, accessibility, and comfort for public ser- McLean model consists of information quality, system vices [2,3]. With e-government, people can access quality, user satisfaction, and usage intention [7]. Then, information anywhere and anytime. The government’s UTAUT consists of social influence and perceived operational costs in providing information can be re- effectiveness. Social influence and perceived effective- duced by using e-government websites [4]. ness have a strong influence on system usage [8]. Using this method, this research has succeeded in Received: Jan. 23, 2018; received in revised form: Feb. 20, 2018; identifying the aspects affecting the success rate of the accepted: Feb. 23, 2018; available online: Apr. 25, 2018. e-government website. It is hoped that this aspect can Province. The Riau Province Legal Bureau as the Government adoption and user's satisfaction [1] institution responsible for this system can take because it is appropriate to the context of this study. advantage of the recommendations given when they The study argues that e-government attributes will consider the aspects they will use in designing and have an effect on user satisfaction and the intention improving the e-learning system. to use e-government services. They observe the importance of creating users who are satisfied with LITERATURE REVIEWS the system created and the impact of user satisfaction on the intent to use. This is in line with Research Ractham et al [9] identifies the the idea of researchers with the same context in the success factors of e-excise using the success model study. of Delone and McLean. In his research shows that The DeLone and McLean models consist of by increasing the trust, recognizing the quality of Information Quality, System Quality, User information, quality of the System and the quality of Satisfaction and Intention to Use constructs. Each service it will feel the benefits of the information construct should be measured separately as it will system. Scott et al [10], confirmed that a reliable and affect User Satisfaction. Furthermore, the output of valid measure of e-government success consists of information systems such as accuracy, timeliness, cost, time, convenience, personalization, and completeness are characteristic of Information communication, ease of information retrieval, trust, Quality [15]. Information Quality is evaluated by the good information. user and will affect User Satisfaction [16]. Ulhas et al. [12]. The DeLone Success Model Subsequently, the Social Construct Influence and and McLean Information Systems (D & M) as a Perceived Effectiveness constructs were adopted basis for developing a theoretical framework for from the Unified Theory Acceptance and Use of studying the role of a quality collaborative Technology (UTAUT) model [8]. Social Influence information system (CIS). Ulhas also studied its is the extent to which an individual has the belief that impact on the success of Individuals, Organizations, using a new system will minimize effort in the Cite thisand articleProject as:s. M M.ard I.ia Wibowo,na [13] w A.ho J.co Santoso,nducted h D.is B. Setyohadi, “Factors Affecting the Successful process of doing the job. Social factors also have a research in Indonesia proposed a framework for Implementation of E-Government on Network Documentationstro andng in Legalfluence Information on improving Website the user insys Riau”,tem [17]. assessing the success of the Information System by CommIT (Communication & Information Technology) JournalHere 12(1),'s an o v51erv–i57ew, o 2018.f the proposed research model: adding the Cultural Impact factor. Researchers have be a solution as well as an idea to evaluate the JDIH proved that the success of information systems Social Websitecann toot become be separ aated reliable from websitecultural ininfl disseminatinguences. This Influence legala informationpplies especial inly Riau.to the r Theich In Riaudonesi legalan cult bureauure. as Susanto et al [14] examine the success of H1a the responsible institution for this system can take System H3a Quality Internet Banking implementation in Indonesia. he advantage of the recommendations when it considers H1b User H3b Usage developed the Delone and McLean model by adding H2 the aspects in designing and improving the e-learning Satisfaction Intention H1c H3c Usage and Consumer behavior within the Information system. H3d framework of his research on Internet Banking. This Quality study argues that the security of information systems H1d II.LITERATURE REVIEW is the most important factor in increasing user Perceived Referencesatisfacti [o9n] a identifiednd greatly a theffec successt the use factorsof Inter ofnet e- Effectiveness exciseB usinganking the in I successndonesia. model of Delone and McLean. Total effect (H4a, H4b, H4c, and H4d) Iskander and Ozkan [11] describe a general This research showed that by increasing the trust and method designed to collect and analyze data from recognizing the information quality, system quality, Fig. 1. Research model. various literature related to e-government and service quality, it would see the benefits of the in- transformation. The implementation of e- Fig 1: Research Model [1]. formationgovern system.ment sh Moreover,ows that th Ref.e ind [e10pe]nd confirmedent variables that a reliablecollected and f validrom th measuree literatur ofe d e-governmento not really ma successke e- is adapted from the previous research on e-government Governments as service providers must consistedgovern ofm cost,ent a time,succe convenience,ss, although it personalization, is positively adoption and user satisfaction [1] because it is appro- interact with service users for the e-government communication,correlated to ease the ofm informationethod. In add retrieval,ition, they trust, try andto priate to the context of this study. The researchers argue services to run. E-government has the ability to evaluate the effect of each independent variable on that e-government attributes will affect user satisfaction good information. influence user attitudes and views about the Then,the Ref.depen [d11en]t v usedariable DeLone separate andly, b McLeanut accordin Modelg to and the usage intention of e-government services. They them, that way is not a logical way because those government, as well as the user's trust in the in information systems as a basis for developing a observed the importance of creating satisfied users variables are very influential with other variables. effectiveness of the services built by the government with the system and the impact of user satisfaction theoretical framework for studying the role of a qual- [18]. In addition, Intention to Use and user satisfaction are also interconnected [9]. Increased ity inRE CollaborativeSEARCH InformationMODEL System (CIS). AN TheD on the usage intention. This is in line with the idea of impacts on the success of individuals, organizations, researchersuser satisf withaction the wil samel make context an incre inase the in t study.he intent HYPOTHESIS to use [7], [19]. Quality also refers to the technical and projects were studied. Reference [12] proposed a The DeLone and McLean models consist of infor- This research combines two models, namely capacity of the information system, ie ease of use, frameworkDeLon fore a assessingnd McLea then m successodel and of U thenified information Theory mationreliab quality,ility, respo systemnse tim quality,e, and av userailabili satisfaction,ty [7], [19], and systemAc bycep addingtance an thed Use cultural of Tec impacthnology factor (UTAU inT Indone-). This usage[9]. intention constructs. Each construct should be sia. Itm provedodel was that adop theted success from pr ofevi informationous research systemson e- measuredIn separately addition as to itthe will dire affectct effe usercts, satisfac-user could not be separated from the cultural influences. tion.sati Furthermore,sfaction also in thedirec outputtly can a offfe informationct the Intentio systemsn to This applied especially to the rich Indonesian culture. suchUse. as Itaccuracy, is possible timeliness, that any relati andon completenessship between are The success of Internet banking implementation in characteristicattributes and of In informationtention to Us qualitye will be[ 15me].diated Information by Indonesia was also studied [13]. It developed the quality is evaluated by the user and will affect user Delone and McLean model by adding usage and satisfaction [16]. Subsequently, the social construct consumer behavior within the framework on Internet influence and perceived effectiveness constructs were Banking. This study argued that the security of in- adopted from the Unified Theory Acceptance and Use formation systems was the most important factor in of Technology (UTAUT) model [8]. Social influence increasing user satisfaction and greatly affected the use is the extent to which an individual has the belief of Internet banking in Indonesia. that using a new system will minimize effort in the Reference [14] described a general method designed process of doing the job. Social factors also have a to collect and analyze data from various literature re- strong influence on improving the user system [17]. lated to e-government transformation. The implemen- Figure1 shows the overview of the proposed research tation of e-government showed that the independent model. variables collected from the literature did not make Governments as service providers must interact with e-government successful, although it was positively service users for the e-government services to run. correlated to the method. In addition, the researchers E-government can influence user attitudes and views evaluated the effect of each independent variable on about the government. It also affects the user trust the dependent variable separately. However, this way in the effectiveness of the services built by the gov- was not a logical way because those variables were ernment [18]. In addition, usage intention and user very influential with other variables. satisfaction are also interconnected. Increase in user satisfaction will increase the usage intention [7, 19]. III.RESEARCH METHOD Quality also refers to the technical capacity of the A. Research Model and Hypothesis information system such as ease of use, reliability, This research combines two models, namely DeLone response time, and availability [7,9, 19]. and McLean model and UTAUT. The combined model In addition to the direct effects, user satisfaction also

52 Cite this article as: M. I. Wibowo, A. J. Santoso, D. B. Setyohadi, “Factors Affecting the Successful Implementation of E-Government on Network Documentation and Legal Information Website in Riau”, CommIT (Communication & Information Technology) Journal 12(1), 51–57, 2018. can indirectly affect the usage intention. It is possible Board (BAPPEDA), and the Inspectorate of Riau. that the relationship between attributes and usage inten- Then, the researchers also distributed it to some com- tion is mediated by user satisfaction. User satisfaction munities that meet the requirement of using JDIH web- has been widely used to measure the success and effec- site. The questionnaires have 270 respondents, which tiveness of e-government [20, 21]. Several researchers 200 people from government offices and 70 people have investigated the provided information quality, user from communities. The number of respondents in this needs, website design quality and support for end users study refers to the previous study of Ref. [25]. The as the contributors to user satisfaction. To test the use of Structural Equation Modeling (SEM) requires hypothesis, the total effect of the attribute regarding the 100–200 people as the sample size at least. From the usage intention (direct and indirect effects) is needed. questionnaires distributed, there are 252 respondents The study on total effects has also been described by who become the sample in this study. many other researchers [22–24]. Their research provides support for the total influence of e-government B. Sample and Data Collection attributes (social influence, information quality, and system quality, and perceived effectiveness) on usage The data are collected using questionnaires based intention of e-government services. It includes both on five points of Likert scale. Five Likert scales range direct and indirect effects through user satisfaction. from 1 to 5. Those are strongly agree, agree, neutral, disagree, and strongly disagree. A total of 270 ques- Based on the explanation, several hypotheses are tionnaires are distributed to respondents, but only 252 proposed. Those are: questionnaires return. It has 93.3% of response rate. H1a: Social influence has a positive effect on user SEM approach and the AMOS 22 software are used satisfaction. to evaluate the construction model and estimate the H1b: System quality has a positive effect on user structural relationship between latent variables simul- satisfaction. taneously [26]. The demographics of the respondents H1c: Information quality has a positive effect on are shown in Table I. user satisfaction. H1d: Perceived effectiveness has a positive effect IV. RESULTS AND DISCUSSION on user satisfaction. A. Measurement Model H2: User satisfaction has a positive effect on usage intention. To evaluate the validity and reliability of the con- H3a: Social influence has a positive effect on usage struct, the researchers use Amos 22 software. Ac- intention. cording to Ref. [26], to achieve the validity of the H3b: System quality will have a positive effect on research, the Average Variance Extracted (AVE) value usage intention. must exceed the value 0.5. Moreover, the loading H3c: Information quality will have a positive effect factor value must be greater than 0.5. Then, the value on usage intention. of Composite Reliability (CR) must be greater than H3d: Perceived effectiveness will have a positive AVE. The results of calculations from this study have effect on usage intention. shown that the AVE value of the construct is greater H4a: Social influence indirectly affects the usage than the recommended value of 0.5. Then, the CR intention through its effect on user satisfac- value for each varies from 0.8 to 0.9. This shows tion. that the CR value is greater than the AVE value and H4b: System quality indirectly affects the usage in- exceeds the suggested value of 0.7 [26]. In addition, tention through its effect on user satisfaction. the alpha value of all constructs is also greater than H4c: Information quality indirectly affects usage 0.7. It identifies that the measurement model has good intention through its effect on user satisfac- internal consistency and reliability (see TableII). tion. H4d: Perceived effectiveness indirectly affects us- B. Discriminant Validity Test age intention through its effect on user satis- The discriminant validity test measures whether two faction. different statistical factors produce valid data [20]. It The case study in this research is the Riau JDIH compares the square root of the AVE and the correla- website. The researchers use probability sampling tech- tion factor coefficients [21]. Based on the result of va- nique. The questionnaires are distributed to the Riau lidity test, system quality (SQ) has the value of 0.763, provincial government office including the Regional information quality (IQ) with 0.735, and perceived Secretary (Sekda), the Regional Development Planning effectiveness (PE) with value 0.758. Moreover, user

53 Cite this article as: M. I. Wibowo, A. J. Santoso, D. B. Setyohadi, “Factors Affecting the Successful Implementation of E-Government on Network Documentation and Legal Information Website in Riau”, CommIT (Communication & Information Technology) Journal 12(1), 51–57, 2018.

TABLE I RESPONDENTS DEMOGRAPHIC DATA (N = 252).

Description Frequency Percent (%) Gender Male 133 52.8 Female 119 47.2 Less than 24 years 71 28.2 Age 25–30 years 134 53.2 31–35 years 2 0.8 More than 36 years 45 17.9 High School 93 36.9 Education level Bachelor 128 50.8 Master 31 12.3 Experience using JDIH Website Experienced 150 98.7 Inexperienced 2 1.32 Less than 1 hour 26 10.3 Internet usage 2–5 hours 35 13.9 More than 5 hours 191 75.8

TABLE II FACTORLOADINGS,CR, AND AVE.

Variable Items Factor Loadings Component Reliability AVE SQ SQ1 0.729 0.8742 0.58226 SQ2 0.761 SQ3 0.805 SQ4 0.808 SQ5 0.707 IQ IQ1 0.760 0.8550 0.541397 IQ2 0.741 IQ3 0.708 IQ4 0.729 IQ5 0.740 PE PE1 0.708 0.8708 0.57490 PE2 0.711 PE3 0.756 PE4 0.797 PE5 0.813 US US1 0.874 0.9411 0.76175 US2 0.838 US3 0.888 US4 0.885 US5 0.878 UI UI1 0.726 0.8414 0.57091 UI2 0.801 UI3 0.787 UI4 0.704 SI SI1 0.708 0.8374 0.56327 SI2 0.776 SI3 0.742 SI4 0.774

satisfaction (US) has value 0,872, and usage intention TABLE III (UI) has value 0.755. Then, social influence (SI) has a DISCRIMINANT VALIDITY TEST. value of 0.750. The result of the validity test shows that SQ IQ PE US UI SI the indicators have value more than 0.7. It means that SQ 0.7631 0.1610 0.1960 0.2370 0.1720 0.2260 the whole data are valid [20]. The result of discriminant IQ 0.1610 0.7358 0.2000 0.2430 0.1840 0.2320 validity test is shown in Table III. PE 0.1960 0.2000 0.7582 0.2670 0.2100 0.2500 US 0.2370 0.2430 0.2670 0.8728 0.2670 0.3030 UI 0.1720 0.1840 0.2100 0.2670 0.7556 0.2340 SI 0.2260 0.2320 0.2500 0.3030 0.2340 0.7505 C. Fit Model Criteria To test the fit model criteria, the researchers use Confirmatory Factor Analysis (CFA). AMOS 22 identi- indicates good fit [26]. Furthermore, for the value of fies all proposed models. Probability value shows poor TLI and CFI, those are 0.933 and 0.941, respectively fit has a cutoff value below 0.05. The RMSEA value indicating good fit [27]. The result can be seen in of 0.059 indicates good model fit. The GFI value of TableIV. 0.852 shows the marginal fit, and AGFI value of 0.820 The results of the theoretical hypothesis testing

54 Cite this article as: M. I. Wibowo, A. J. Santoso, D. B. Setyohadi, “Factors Affecting the Successful Implementation of E-Government on Network Documentation and Legal Information Website in Riau”, CommIT (Communication & Information Technology) Journal 12(1), 51–57, 2018.

TABLE IV model. Other studies also show the system quality and GOODNESSOF FIT INDEXES. information quality have a positive relationship with user satisfaction [1]. Moreover, the effect of perceived Index Cutoff value Model Status effectiveness on user satisfaction has a probability p-value ≥ 0.05 0.000 Poor Fit RMSEA ≤ 0.08 0.059 Good Fit value of 0.030 (p < 0.05) so it shows perceived GFI ≥ 0.90 0.852 Marginal Fit effectiveness has a positive effect on user satisfaction AGFI ≥ 0.80 0.820 Good Fit CMIN/DF ≤ 2.00 1.861 Good Fit in using JDIH website. The perceived effectiveness will TLI ≥ 0.90 0.933 Good Fit increase user satisfaction. Thus, H1d is accepted. CFI ≥ 0.90 0.941 Good Fit The effect of user satisfaction on usage intention shows probability value 0.000 (p < 0.05). Thus, H2 is TABLE V accepted. User satisfaction has a positive influence on HYPOTHESIS TEST RESULTS. usage intention in JDIH website. The social influence on the usage intention has a probability value of Hypothesis p-value Limit Explanation 0.036 (p < 0.05) so H3a is accepted. It shows social H1a 0.004 0.050 Effect H1b 0.023 0.050 Effect influence has a positive effect on usage intention in H1c 0.031 0.050 Effect JDIH website. The effect of system quality on intention H1d 0.030 0.050 Effect H2 0.000 0.050 Effect to use has a probability value of 0.506 (p > 0.05). H3a 0.036 0.050 Effect In H3b, it shows that system quality has no positive H3b 0.506 0.050 No effect H3c 0.697 0.050 No effect effect on usage intention in JDIH website. For the H3d 0.024 0.050 Effect effect of information quality on user satisfaction, it H4a 0.302 0.207 No effect H4b -0.057 0.102 Effect has probability value 0.697 (p > 0.05). Thus, H3b is H4c 0.033 0.095 Effect rejected. H4d 0.196 0.098 No effect Moreover, H3c is rejected. It shows that information quality has no positive effect on usage intention. Then, the effect of perceived effectiveness on usage inten- and the relationship between the latent constructions tion has a probability value of 0.024 (p < 0.05) so provided through SEM technique through AMOS 22 perceived effectiveness has a positive effect on usage are shown in TableIV. It includes the coefficient and intention. H3d is accepted. significance as well as the results of hypothesis testing. Furthermore, the results also show the relationship The results of testing hypotheses are in Table V. between total effects of social influence, system qual- From testing the relationship between social influence ity, information quality, and perceived effectiveness and user satisfaction variables, it shows the probability on usage intention through user satisfaction directly value of 0.004 (p < 0.05) so H1a is accepted. It has a and indirectly. The social influence on usage intention positive effect on the user satisfaction in JDIH website. through user satisfaction has a coefficient value of the The better the social influence is, the better the user standardized direct effect. It is between social influence satisfaction will be. This is in line with the research on usage intention that is mediated by user satisfaction. by Ref. [8] stating that social influence had a positive It is obtained that the value of direct value is bigger effect on the user satisfaction. Then, in H1b, the effect than the indirect value. In the testing the relationship of system quality on user satisfaction has a probability between these two variables, it shows the value of value of 0.023 (p < 0.05). It shows that system 0.302 > 0.207. This suggests that user satisfaction quality has a positive effect on user satisfaction in using cannot mediate the social influence on usage inten- JDIH website. It means H1b is accepted. According tions. Thus, H4a is rejected. Social influence does not to Ref. [7], system quality has a strong influence on significantly affect the usage intention through user user satisfaction in the context of information systems. satisfaction. The influence of system quality will increase user The system quality on usage intention through user satisfaction. The results of this study are also in line satisfaction has a coefficient value of standardized di- with some previous studies by Refs. [28, 29]. rect effect between system quality and usage intention. Information quality on user satisfaction has a prob- It is mediated by user satisfaction and obtained by the ability value of 0.031 (p < 0.05). This shows that direct value is smaller than the indirect value. The information quality has a positive effect on user satis- test shows the value of −0.057 < 0.102. It implies faction in using JDIH website. H1c is accepted. The that indirect effect is greater than the direct effect. information quality will increase user satisfaction [7]. The system quality has a significant effect on usage This research is in line with Ref. [15] on the suc- intention through user satisfaction. H4b is accepted. cess of information systems using the Delone Mclean According to Ref. [30], a good system quality can

55 Cite this article as: M. I. Wibowo, A. J. Santoso, D. B. Setyohadi, “Factors Affecting the Successful Implementation of E-Government on Network Documentation and Legal Information Website in Riau”, CommIT (Communication & Information Technology) Journal 12(1), 51–57, 2018. affect a person’s intention to reuse it. from the Master of Informatics Engineering who have Moreover, the effect of information quality on the provided many helpful insights for this research. We usage intention through user satisfaction has the value also thank the Riau provincial government, especially of a coefficient of standardized direct effect. It is the Riau provincial legal bureau that has permitted us between information quality and usage intention me- to do research there. diated by user satisfaction of the direct value is less than the indirect value. The test shows the value of REFERENCES 0.033 < 0.095. User satisfaction can mediate the information quality on usage intention. 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