The purpose of this research is to Investigate the Effects of Trust, Easy of System,

Popularity System and the effect the popularity of the system on an on-line transaction. The

study was conducted at passengers KAI Semarang Tawang Station, the sample size is about

125 passengers. The data is processed using the Structural Equation Modeling (SEM)

roomates assisted by the application program of Analysis of Moment Structure (AMOS)

version 18.0.

According to the analysis, it is concluded as the followings: easy of system has a

positive effect on the popularity of the system; trust has a positive effect on the popularity of

the system; popularity of the system has a positive effect on the on-line transaction; easy of

sytem has a positive effect on the on-line transaction; trust has a not effect on the on-line

transaction

ASJI, Sabbat Nugroho

English

Diponegoro University Institutional Repository

1  Effect of Trust and Ease Of Popularity of Interest Transaction System to Improve On-line Website PT KAI (A Study on Passenger Train in Semarang Tawang Station)  Sabbat Nugroho Asji Master of Management UNDIP  ABSTRACT    The purpose of this research is to Investigate the Effects of Trust, Easy of System, Popularity System and the effect the popularity of the system on an on-line transaction. The study was conducted at passengers KAI Semarang Tawang Station, the sample size is about 125 passengers. The data is processed using the Structural Equation Modeling (SEM) roomates assisted by the application program of Analysis of Moment Structure (AMOS) version 18.0.  According to the analysis, it is concluded as the followings: easy of system has a positive effect on the popularity of the system; trust has a positive effect on the popularity of the system; popularity of the system has a positive effect on the on-line transaction; easy of sytem has a positive effect on the on-line transaction; trust has a not effect on the on-line transaction.    Keyword: Trust, Easy of System, Popularity the System, On-line Transaction    PRELIMINARY The existence of a mobile application is one form of business enterprise to provide the best services in the field of information technology to its customers. The existence of mobile applications can be used as a means to provide information, attract attention, and build customer relationships with its customers. Advances in technology that is believed to have a major contribution to the service sector, especially services such pelayanan.Kemajuan able to encourage other advances, which finally was able to create an information (Wahab et al., 2009). Technology can not be separated from all the operations of a company, including in marketing the product. One 2  advantage of technological advances that can be used is the internet technology. Use of internetsaat inimampu provide information and trade, goods and services quickly (Albarq, 2006). According to research from the e-marketer, an average of 2014 internet users in Indonesia reached 83.7 million / year. It ranks Indonesia ranked 6th largest country in the world internet users. In 2017 e-Marketer estimates that Internet users in Indonesia reached 112 million people and would beat Japan who is one rank above the Indonesian state is more sluggish growth of Internet users (www.marketer.com/2014). With the result that there is over 30% of Indonesia's population that uses Internet technology is able to provide a positive impact in the form of new market potential for the development of e-commerce market. MCIT mentioned in the statistics that the total in the range of 2013 are e-commerce transaction value reached Rp. 130 trillion., This value is expected to continue to increase significantly when viewed from the growing influence of the smartphone market, the use of the internet and access your credit and debit cards, the perceived benefits of consumers in online transactions, as well as the level of consumer confidence in conducting such activities. the fact of this magnitude is possible will can captivate investors both inside and outside the country.  THEORETICAL AND DEVELOPMENT HYPOTHESIS  Interests trade on line  Jogiyanto (2007) in fortuna, (2013) states that interest is an urge / desire of any person where he does something specific actions, Interest is part of the aspect of human psychology could be the trigger process activities, in order to reach the goal. Interest is closely related to the strength of the human being as a supporting unit to interact with 3  each other as well as objects or it could be related to absorption of the effective experience of the impact of his accomplishments  The popularity of the system  The popularity of the system can be defined as consumer perception on an assessment of the relevant system features and advantages of the system as a whole, The credibility of the company can be measured by how much the level of popularity system used. Popularity according Widiyanto (2015) there is a good image of the company. Popularity is generally associated with the consumer experience, the conversation of people and the media coverage on the product or the company. Trust Morgan and Hunt (1994) "trust occurs as a result of the emergence of self-confidence in the joint information exchange activities with integrity and trustworthy partner", Mayer et. al. (1995) defining belief by whim that comes from within oneself to be sensitive to other people aktiftas conducted, based on expectations identified that these others believe it as well without relying on his ability to control or supervise.  easiness Ease of use is the phase where people can trust that the technology is easy to use and understand (Davis, 1989: 320). The statement is also in line with the statement Wibowo (2006) who argue that the easy use is closely related to a person's perception of how easy the technology is used. Meanwhile, in the opinion of Amijaya (2000) perception of the ease of using this technology will have a direct impact on the behavior, 4  namely as the higher level of someone in running an information system will significantly affect the utilization of accomplishments related to the information system.  2.5 research Accomplished table 2.1 Results Accomplished Researcher name Research variable Research model Results Analysis Srivastava (2007) Dependent: Reputation System  Independent confidence and ease  Regression analysis trust and ease of having an influence on the reputation of the system Haque et al., (2009) Dependent: the interest of transactions on line   Intervening: ease    Independent: trust  Regression analysis ease of having an influence on the interest betransaksi online   Munuusamy et al., (2012) Dependent: the reputation of the system  Independent: ease and confidence  Regression analysis confidence positive effect on the reputation of the system MoeeinidanFard., (2014) Dependent: Interests transact   Independent: reputasisistem AnalisisRegresi reputasisistemmemiliki pengaruhpositifterhadapkemudahanbertransaksi online   Source: The previous study were used in this study  5   2.6 Research model             H2      H1    H5         H3        H4    RESEARCH METHODS Population  In this study, called the population is users / customers train services Semarang Tawang Railway Station  samples  Non-probability sampling techniques are used because they have the advantage of cost savings if the population is spread very widely. While used random sampling (accidental sampling) of 125 respondents Method of collecting data           1             2    3        4     5                  Strongly Disagree    Strongly agree  Table 3.1. Operational Definition of Variables No. variable name Indicator Source 1 Ease of Use is the scale of a person related to the ease of understanding the technology (Davis, 1989: 320). a. Easy to learn  b. frequency of purchase c. intensity purchase d. Ease of use when transacting On Line  Haque et al., 2009)   EASE TRUST ONLINE TRADING INTEREST SYSTEM popularity 6  2 Mayer et. al. (1995) defines trust is a mental condition where a person based on the context and circumstances socialnya a. security system b. system secrecy c. Security and confidentiality d. Compensation for losses due to security reasons and confidentiality  Munusamy et al., (2012) 3 Gaotsi & Wilson (2001), in Fortuna (2013) states that popularity is a series of results from the process undertaken by stakeholders in an organization a. Site visited by many people b. Web every day crowded c. Many who click untu buy tickets d. flexibility system   Srivastava (2007)  4 Jogiyanto (2007) in fortuna (2013) states that interest is a motive of wanting someone  a. desire Transactions b. desire Referensikan c. desire Choosing d. desire Explorative   Haque et al., (2009)                      7       Mechanical Analysis Analysis of the data used to answer questions and solve problems penelitian.Untuk study tested the H1 to H5 in this study used Structural Equation Model in AMOS ,  SEM Assumption Testing Results  Normality Testing Data table 4.1 normality Data  variable min max skew cr kurtosis cr x13 1,000 5,000 , 063 , 289 -, 173 -, 395 x14 1,000 5,000 -, 156 -, 713 -, 093 -, 213 x15 1,000 5,000 -, 139 -, 636 -, 150 -, 343 x16 2,000 5,000 , 052 , 239 -, 601 -1.372 x8 1,000 5,000 -, 594 -2.710 , 438 .999 x7 1,000 5,000 -, 519 -2.367 , 078 , 177 x6 1,000 5,000 -, 354 -1.615 -, 046 -, 106 x5 2,000 5,000 , 104 , 473 -, 953 -2.174 x12 1,000 5,000 -, 185 -, 845 , 133 , 303 x11 1,000 5,000 -, 012 -, 055 -, 504 -1.151 x10 1,000 5,000 -, 088 -, 400 -, 557 -1.271 x9 1,000 5,000 -, 155 -, 706 -, 506 -1.154 x4 1,000 5,000 -, 172 -, 787 -, 774 -1.766 x3 1,000 5,000 , 275 1,256 -, 421 -, 961 x2 1,000 5,000 -, 259 -1.182 -, 419 -, 956 x1 2,000 5,000 , 369 1,686 -, 346 -, 791 multivariate      -3.274 -, 763 8    Sources: Primary data are processed, 2017  The research data has been qualified normality because as seen in Table 4.1 above are not beyond the value of skewness CR + _2,58. multivariate Outliers Results of multivariate outliers are presented in table 4.4 below table 4.2 multivariate Outliers Observation number D-squared Mahalanobis p1 p2 22 29.858 .019 , 906 118 29.531 , 021 , 731 55 28.324 , 029 , 704 - - - - - - - - 65 11.964 , 746 , 195 117 11.874 , 753 , 180 39 11.602 , 771 , 256  Sources: Primary data are processed, 2017 Analysis of Structural Equation Model (SEM) In this stage, the suitability test and statistical tests, the results of which can be seen in figure 4.1 below:  Figure 4.1 Structural Equation Model (Path Diagram)  9   Sources: Primary data are processed, 2017   In table 4.3 below are presented on the results of testing the feasibility of Structural Equation Model (SEM)                 table 4.3 Feasibility Model Testing Results Structural Equation Model (SEM)  Goodness of Fit Index   Cut-off Value  Results Analysis  evaluation Model 10  Chi - Square  <147.010 df 98 81.965 Good probability   0:05 0.878 Good  RMSEA  0:08 0,001 Good GFI  0.90 0.928 Good AGFI  0.90 0,900 Good CMIN / df TLI              ≤2,00               0.95 0,836 1,024 Good Good CFI  0.95 1,000 Good  Sources: Primary data are processed, 2017      DISCUSSION table 4.4 Structural Weight Equational Regression Model      estimate SE CR P Label Kepopuleran_Sistem <--- easiness , 401 , 146 2,747 , 006 par_13 Kepopuleran_Sistem <--- Trust , 258 , 112 2,309 , 021 par_14 Minat_Bertransaksi_Online_online <--- Kepopuleran_Sistem , 258 , 102 2,539 .011 par_15 Minat_Bertransaksi_Online_online <--- easiness , 361 , 137 2.625 .009 par_16 Minat_Bertransaksi_Online_online <--- Trust , 017 , 100 , 166 , 868 par_17  Sources: Primary data are processed, 2017 knot 1. The test results influence the ease of the system against the system can be inferred popularity convenience systems positive effect on the popularity system 2. Results of testing the effect of the use of the website to kepopuelran confidence can be inferred belief system positively affects the use of website popularity system 3. The test results influence the interest system popularity of online transactions can be concluded popularity system positively affects the interest of transactions online  11  4. The test results influence the ease of the system against the interests of online transactions can be concluded convenience systems positively affects interest online transactions 5. Results of testing the effect of trust use of the website to the interest of ease of online transactions can be concluded no system positively affects the interest of transactions online  Suggestion 1. PT.KAI should better maintain the ease of the system at KAI website that passengers who purchase tickets for increasing 2. PT.KAI better maintain the trust of passengers to buy through the website to be able to increase the popularity system   Future research recommendations  Results of the study were able to be a reference for future studies to look at some of the output produced from this research and add to the endogenous variable interest online transactions. BIBLIOGRAPHY Adamson, I., & Shine, J. (2003). Extending the New Technology Acceptance Model to Measure the User Information Systems Satisfaction in a Mandatory Environment: Technology Analysis & Strategic Management. Vol. 15 No. 4: pp 441-455. Chavan, J., (2013). "Internet banking benefits and chalenges in an emerging economy,"International Journal of Research in Bussiness Management, Vol. 1, Issue 1 ,, 19-26 Chow, S., & Holden, R., (1997). 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Effect of Trust and Ease Of Popularity of Interest Transaction System to Improve Online Website PT KAI

(A Study on Passenger Train in Semarang Tawang Station)

http://eprints.undip.ac.id/62870/1/Jurnal_Sabbat_Nugroho.pdf

Effect of Trust and Ease Of Popularity of Interest Transaction System to Improve Online Website PT KAI (A Study on Passenger Train in Semarang Tawang Station)

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