FACTORS INFLUENCING THE ADOPTION OF E-TILANG; EMPIRICAL EVIDENCE FROM THE UTAUT MODEL

: Mid-year 2017 The National Police of the Republic of Indonesia publishes e-tilang technology innovation. Traffic police use e-tilang in handling vehicles that violate traffic on the highway. This is to improve service to the public. This research factor influences acceptance and use of e-tilang by using UTAUT model. This research was conducted in Bengkulu area with 152 traffic policemen. The findings of this study indicate that effort expectancy, performance expectancy, and social influences positively affect the use of e-tilang. Furthermore, no positive effect on the intention of using e-tilang is the Facilitation Conditions. The results of this study are important steps to improve e-tilang services.


Introduction
Currently, the development of information technology in the government is growing rapidly.This is particularly important given the potential to improve services, reduce costs and accessibility to citizens (Carter & Bélanger 2005).E-government provides certain benefits of society transparency in government processes, efficient services will reduce costs and time.E-government for government helps simplify procedures, improve office management and create effective government regulations (Kayani et al. 2011).
In mid-2017, the State Police of the Republic of Indonesia issued e-tilang innovation technology.E-tilang is an online application used by traffic police.E-tilang aims to improve service to the public and reduce the misuse of payment of fines to traffic police on the highway.Traffic policemen are responsible for ensuring that traffic rules are adhered to by vehicle drivers (Bates et al. 2017;Bates et al. 2014).E-tilang reflects the strategy of the traffic police in delivering information and communications to the public.This is in line with Lindsay et al. (2011) study, which states that 72% of technology can help police work and be able to solve problems.
This study uses a model reference Venkatesh et al. (2003).The model used in evaluating the acceptance and application of technology.Unified Theory Acceptance and Use of the Technology (UTAUT) is able to explain behavioral intentions in using system information.UTAUT explains the intent and behavior of users in using system information.

Performance
Expectations, Business Expectations, Social Influence, and facilitating conditions have a direct effect on the intentions of using the system.This model describes the intent of the user in using the system information and behavior of its users.
The Performance Expectations, Effort Expectations, Social Influence, and Facilitation Conditions have a direct effect on behavioral intentions in UTAUT.These four constructs are used to measure from e-Government services at present.The linkage between the main constructs at UTAUT shows a high significance of technology acceptance.
www.japmnt.comBased on the above explanation, the researcher will identify the factors influencing the use and acceptance of e-tilang at traffic police by using the UTAUT method.This research will be useful for developing additional literature based on current conceptual data and future research in Indonesia and its territory.The findings of this research can be a consideration to improve information technology services in the police.

Literature Review
According to Alshehri, his research investigates the feasibility of UTAUT for the use of technology received in government (Alshehri 2012).The findings indicate UTAUT is eligible for use on e-government acceptance.Increasing use and acceptance of e-government especially in the service to the community makes the service easier and faster.Information technology affects the ability of police to solve problems.Legohérel (2013) said the use of new technologies can improve performance.Lau (2016), explains that performance expectancy greatly influences behavioral intentions to use technology.Effort expectancy explains the ease of service in e-government.Effort expectancy has the effect on behavioral intentions in using technology.Social influences can convince each other that it is easy to accept the use of technology.Facilitating conditions is a picture of infrastructure and technical support for the system used within the organization, this is like previous studies (Akhtar Shareef et al. 2014;Lin et al. 2010).

Research Model and Hypothesis
This method UTAUT is composite of Theory Reasoned Action, Planned Behavior Theory (Ajzen 1991), Technology Acceptance Model, Diffusion of Innovation Model, (Mustonen-Ollila & Lyytinen 2003) and TAM2 (Madden et al. 1992).The strength of this model is widely used in various studies and applies it extensively to various technologies (Williams et al. 2015).The UTAUT model consists of 4 variables, that is performance expectancy, effort expectancy, social influence, facilitation conditions.According to Lin et al. (2010), the variable will be an important role as a direct determinant of usage behavior.In this study, performance expectations, social influence, effort expectations, and facilitation conditions are the main constructs that will be the effect on Behavioral Intention.Based on the UTAUT model, it can be estimated that this key factor influences the adoption of e-tilang.The linkages between major constructs at UTAUT have demonstrated a high significance of technology acceptance and have been shown to be consistent with many studies (Azam 2015, Raja Yusof et al. 2017).The UTAUT model as shown in figure 1.  Empirically this study is the most widely used and applied adoption and acceptance model, using e-government services can provide useful insights and implications for understanding someone's intentions (Barua 2012).
Performance expectations are one of UTAUT constructions, performance expectations explain how much one believes that information systems can help the work to get the desired results (Venkatesh et al. 2003).This performance expectancy is derived from a combination of the concept benefit perception, extrinsic motivation, occupational conformance, relative profit, and expected outcomes.Performance expectancy makes it possible to access information quickly and conveniently.performance expectancy greatly affects the user's intentions (Lau 2016).The hypotheses are summarized as follows: H1: Performance Expectancy positively influences behavioral intentions in using etilang.
Effort expectancy describes the level of ease of using the system.Effort expectancy is a combination of TAM2 and MPCU methods.Effort Expectancy explains the ease of service e-tilang, how users interact with the interface.This construction is like that of Williams et al. (2015) that influenced users' attitudes toward usage.The hypotheses are summarized as follows: H2: Effort Expectancy positively influences behavioral intentions in using e-tilang.
The Social Effect is the UTAUT construct that explains how much one be sure lest employ a new system can minimize effort in work.This construct describes the person's ease or environment to influence each other.The hypotheses are summarized as follows: H3: Social Influence positively influences behavioral intentions in using e-tilang.
Facilitating conditions are how much one believes that the existence of a good organizational and technic infrastructure could support the employ from the system.Facilitating conditions is a very important service to the organization.The hypotheses are summarized as follows: H4: Facilitating Conditions positively affects behavioral intentions in using e-tilang.

Research Methods
Case studies in this research are traffic police in Bengkulu area.The number of traffic police respondents is 165 personnel.The survey was conducted using a questionnaire given to all traffic police.Based on Kumar (2016), the questionnaire was distributed with probability sampling technique.Determination of the number of respondents refers to previous studies (Chang, 2013) and is based on MacCallum et al (MacCallum et al. 1996).Another consideration is that in SEM, a sample size of 100-200 is required for sample size determination.
SEM techniques allow researchers to evaluate the construction model and to estimate the structural relationship between latent variables simultaneously (Hair et al., 2006).The data were tested using Structural Equation Modeling (SEM) with the help of AMOS 22 devices.Researchers collected data through 165 questionnaires and 152 returned, with a response rate of 87.36%.The questionnaire used was 165 and returned as many as 152 questionnaires, with a response rate of 87.36%.Respondent's demographics the results are shown in table 1.From the data processing, it is known that the value of CR shows the value of 1.96 and the value of P below 0.05 so it can be said that 3 hypotheses have an influence, and one hypothesis has no significant effect because the P value is more than 0.05.The results show that performance expectancy, effort expectancy, and social influence have a positive effect on behavioral intentions.Effort expectancy (p = 0.002) has a greater effect than performance expectation (p = 0.035).The social influence (p = 0,000) also has a positive effect.Facilitation conditions have a value of p = 0.850 which shows a P value above 0.05, which means that the facilitation conditions have no positive effect on behavioral intent.Venkatesh (2003) explains that facilitating conditions are cost and system availability.According to Lin et al, facilitating conditions and good infrastructure can facilitate the use of the system.

Discussions
The results show that performance expectation has a positive effect using e-tilang.E-tilang is useful in work because it can improve performance.The results of this study support the research of Lin et al (2010), which says using online systems can help improve performance.Usefulness is useful for traffic police because e-tilang can be used anywhere and anytime.The perceived benefits have described a trust to use the system in improving performance.The results showed that e-tilang use can improve service to the public.
The results showed effort expectancy positively influences behavioral intentions in using e-tilang.Traffic cops say e-tilang is easy to learn.The level of ease is very influential in using the system.Construct This means an important factor in e-tilang adoption.E-tilang also provides an easy user interface.These results indicate that ease of use in e-tilang can improve performance and expected effort.Etilang can reduce illegal levies with good results.The results of this study support some previous research (Bagozzi & Yi 1988;Alshehri 2012;Rehman et al. 2012;Verdegem & Verleye 2009).
Social influences also have a positive effect in using e-tilang.People who are important to traffic police have a big influence on the use of e-tilang.Director of traffic directs traffic police to use e-tilang.The use of e-tilang is also influenced by other co-workers.This supports Barua (2012) research, which says users are likely to comply with applicable regulations.Liu et al. (2014) also revealed that a significant social influence on the continuation of the intention of using mobile services. www.japmnt.com The study states that the facility does not affect the intention to use e-tilang.The condition of Police Facilitation in Bengkulu is still inadequate.organizations do not have special personnel if electronic tilang have problems.According to Ajzen (1991), facilitating conditions can act as a proxy for controlling the direct behavior in using the system.traffic police still use manual tilang, so it is less effective.From the survey results are also known to the Internet network is sometimes a constraint.A favorable facilitation condition can increase the user to use e-tilang.Lindsay et al (2011) demonstrates easy and fast technology services that can rapidly improve the police ability to solve problems.

Conclusions
This study examines the factors affecting acceptance and use of e-tilang issued by the Indonesian National Police.Using the UTAUT model, this study shows that almost all the variables used in the method positively affects behavioral intentions in using e-tilang, such as work expectation, performance expectation, and social influence positively affects behavioral intentions in using e-tilang.For the construct of facilitation conditions, the results do not positively affect behavioral intentions in using e-tilang.This is because there are still inadequate facilities within the organization.Therefore, facilitation conditions should be improved to improve more effective services.
This study is also important steps to improve e-tilang services in the future, especially improving facilities conditions by the Police of the Republic of Indonesia in support of such e-tilang, such as facilities handphone and other internet devices.The more complete facilities and facilities provided to traffic police, the intention to use e-tilang will also be higher.

Limitations
This study has limitations because it only uses the main construction of the UTAUT model and has not included moderating effects (age, gender, and experience).Furthermore, the researchers only tested the acceptance of etilang at the traffic police organization.

Figure 2 .
Figure 2. Model of Research

Table 4 .
Criteria model fit