Journal of Applied Engineering and Technological Science
Vol 2(1) 2020 : 34-41

ANALYSIS ACCEPTANCE OF PLATFORM TECHNOLOGY DIDIMAX

BERJANGKA IN PEKANBARU USING THE UTAUT METHOD

Rizki Novendra

Department of Information System, Faculty of Computer Science, Universitas Lancang

Kuning

rizkinovendra@unilak.ac.id

Received : 21 October 2020, Resubmit: 11 November 2020 Revised: 03 Desember 2020 , Accepted : 05

Desember 2020

ABSTRACT

This study discusses the acceptance of PT Didimax's metatrader technology. To carry out the analysis in

this study using the UTAUT method. The UTAUT method has four independent variables and two

dependent variables. It is through these variables that the level of technology acceptance is explained.

The results of this study from 121 respondents showed that the Performance Expectancy variable had a

positive and significant impact on behaviour intention, the condition t counted 3.184> t table 2015 Sig

0.002 <0.05 and facilitating condition t count 4.224> t table 2015 Sig 0.000 <0.05. also has a positive

and significant impact on use behaviour.

Keywords : Analysis, Technology Acceptance, Metatrader Platform, UTAUT

1. Introduction

The development of the internet which is currently developing rapidly has opened many

new technologies in the world including digital currency called Forex Trading. Forex Trading is

the activity of trading foreign currencies with the sole purpose of making a profit. The trading

platform (trader) makes transactions using metatrader4 software provided by PT. Didimax

Berjangka as a broker. Metatrader4 is an application provided by brokers to connect customers

(traders) with foreign exchange.

PT. Didimax Futures is a futures brokerage company that specializes in Currency

(Forex) trading, with very competitive spreads and fees. PT. Didimax Berjangka operates under

a license and is under the supervision of BAPPEBTI. BAPPEBTI is the Commodity Futures

Trading Supervisory Agency, which is tasked with supervising and regulating Indonesian

futures trading activities. Therefore, every broker that provides official trading activity services

in Indonesia must go through regulations from Bappebti.

This research will discuss about technology acceptance, namely the acceptance of

platform technology at PT. Didimax Futures. The didimax platform acceptance evaluation will

use the UTAUT method which is widely used in studies regarding the acceptance of new

technology. This study uses the UTAUT method, which is a model that explains user behaviour

towards information technology. The UTAUT model shows that the intention to behave

(behavioural intention), behaviour to use a technology (use behaviour), is influenced by

performance expectations, effort expectancy, social influence, and facilitating conditions. The

fourth Factors are moderated by the factors of gender and age.
Problems that often occur in the community regarding the trading platform application

at PT. Didimax Berjangka Pekanbaru is a lack of public trust in using the trading platform

application, due to the lack of public understanding of knowledge of platform technology in the

form of applications and frequent fraud problems, where many companies act on behalf of

investments to benefit society but the community does not get benefits and certainty from these

investments.

2. Literature Review

Research conducted by (Gunawan & Novendra, 2017) on the acceptance of bitcoin

technology in Indonesia. This study uses the UTAUT method with several variables: PE, EE,
SI, FC, BI and UB. Gender and age factors were assumed to moderate the relationship between

Rizki Novendra Vol 2(1) 2020 : 34-41

the four factors and behavioural use and intention. Empirical data for these factors were

collected using a questionnaire from 49 respondents. The statistical significance of the

relationships was evaluated by multivariate regression analysis. The result is a model that fits

the data with R2 = 0.678. This indicates a high level of fitness. The analysis shows that the

factors of performance expectations and social influence factors greatly influence the

behavioural intention to use Bitcoin with a t-statistic value of 3.835 (p-value = 0.000) for the

previous factor and 1.948 (0.059) for the last factor.

Research conducted by (Mahendra, 2016) aims to find out the perception of the

UTAUT variable on the company's ERP system. In this study, 44 respondents were determined

by purposive sampling technique. The results showed that perceptions of performance

expectations, business expectations, social influences, and conditions that facilitate

simultaneous influence on the interest to behave using the ERP system at PT GBS. Previous

research was conducted by (Mursityo et al., 2019). This study evaluates the acceptance level of

SIAKD Desktop technology using the UTAUT method. The results of the analysis show that

only the condition of the facility has a significant positive effect on the behaviour of using the

SIAKAD Desktop. The UTAUT model can only explain 44.8% of the variants of the SIAKAD
Desktop usage factor which are included in the moderate category. Therefore it is necessary to

develop a research model constructor so that the prediction of variance accuracy from the

research model increases. In addition, it is hoped that further research can cover a wider target

population so that the data is more reliable

The research was conducted by (Sriyeni et al., 2018) in this study to find out whether

the Computer Based Test (CBT) technology was fully accepted and useful in teaching and

learning activities. This research uses the UTAUT method with several variables. The results of

this study state that the variable performance expectancy, business expectation, social influence,

facilitating conditions, attitudes towards the use of technology have a significant effect on the

behavioural interest variable, and the behavioural interest variable has a significant effect on the

usage behaviour variable. Social influence variables have the greatest influence on acceptance

and use of computer based tests (CBT) as a medium for online examinations due to government

policies in implementing national exams Research conducted by (Mustaqim et al., 2018), in this

study conducted an analysis of the level of technology acceptance of E-commerce XYZ using

the UTAUT method. The results found from this study are only social influence factors that

affect a person's intention to use e-commerce XYZ, while the performance expectancy and

effort expectancy factors do not have a significant effect on behavioural intention.

Research was conducted by (Wolfe et al., 2017), the purpose of this study to find out

and analyze online registration system at RSUD dr.M. Soewandhie by using UTAUT method.

The result showed that individual characteristic which has p value below 0,05 was experience,

knowledge and IT skills. Performance expectancy (p = 0,044) significantly influence

behavioural intention , whereas effort expectancy (p = 0,982) and social influence (p = 0,124)

do not. Facilitating condition (p = 0,812) and behavioural intention (p=0,189) had no influence

with use behaviour because p value was above 0,05. In conclusion, performance expectancy has

a significant influence with behavioural intention, therefore experience, knowledge and IT skills

had influence with use behaviour online registration in RSUD dr.M. Soewandhie Surabaya.

Research conducted by (Amalia & Brata, 2018), the purpose of this study is to find out

the acceptance and use of blog technology for teachers. The method used in this research is

UTAUT. The results obtained in the form of free blogs that are most widely used by SMK

teachers as alternative learning media are (1) blogspot at 63%, wordpress by 18.5%, Edmodo by

17.4% and others by 1.1%; (2) the results of the implementation of the questionnaire using the

UTAUT method resulted in an effort expectancy of 94.02%, 89.50% of performance

expectancy, 88.04% of social influence, 86.04% of supporting facilities, 85.71% of use

behaviour and 84.39% of behavioural intention.

The research was conducted by (Farabi, 2016) with the aim of finding out the level of

acceptance of the information system of zakat infaq sodaqoh and waqf using the UTAUT

method. The results obtained are that the acceptance and use of SIZISW is influenced by the

variable Performance Expectancy, Social Influence and Facilitating Condition. Meanwhile,

Effort Expectancy has no effect, while moderating variable has an effect in this study. The

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research was conducted by (Soebali & Mahendra, 2017) with the aim of finding out the level of

acceptance of Gojek Application using UTAUT method. The result is known that the

simultaneous factor performance expectancy, effort expectancy, social influence, and

facilitating conditions and significant positive effect on use behaviour Gojek Application. While

partially, it is known that performance expectancy and social influence which has positive and

significant effect on use behaviour Gojek Application. While effort expectancy and facilitating

conditions not have a positive and significant effect on use behaviour Gojek Application

The research was conducted by (Puspitasari et al., 2013), in this study to find out about

the acceptance of the Hospital Management Information System (SIMRS) using the UTAUT

method. The results of this study are the five variables that affect the level of user acceptance,

namely the suitability of tasks and technology (KTT), expected performance (KDH), social

influence (PS), the expected level of convenience (TKD), and the condition of existing facilities

(KF). affect the level of user acceptance by 70.75%.

3. Research Methods

This section contains a complete and detailed description of the steps undertaken in
conducting of research. In addition, the research step also needs to be shown in the form of

flowchart of research or framework step in complete and detailed including reflected algorithm,

rule, modeling, design and others related to system design aspect.

The stages of the flow in this study are :

Fig. 1. Research Method

Research Problem

The formulation of the problem in a research proposal is the most basic thing. The

formulation of the problem will determine what discussion will be carried out in the research.

The questions raised in the formulation of the problem will then be answered in the research

process and will be systematically stated in the research report. All discussion in the research

report, including all discussions regarding the theoretical framework and methodology used, all

refer to the formulation of the problem. Therefore, it becomes a central point.

Literature Review

An activity that includes finding, reading and reviewing research reports and library

materials relevant to the research that will be carried out by the research plan.

Research Design

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The research design is a research design that is used as a guide in conducting the

research process. The research design is a plan on how to collect and analyze data so that it can

be carried out economically and in harmony with the research objectives. The research design

aims to provide a clear and structured handle to the researcher in conducting his research.

Making Hypotheses

Hypothesis is a statement regarding the state of the population or parameters to be

verified based on the data obtained from the research sample. The procedures for understanding

acceptance rates are defined in detail including data collection and analysis methods. In the

block hypothesis, the research problem is stated into twelve hypotheses. It will be evaluated by

collecting empirical data and statistical analysis. In addition, questionnaires were created and

distributed to obtain data on constructs: such as performance expectations, business

expectations, social influences, facilitation conditions, behavioural intentions, and usage

behaviour. Then, data from the four moderate variables of gender, age, experience, and user

were also collected. In the analysis and conclusion block, a statistical analysis will be carried

out from which conclusions about the twelve hypotheses will be drawn.

UTAUT framework reproduced from Venkatesh et al. (2003) on the structure of the
hypothesis in the UTAUT framework. This structure is broken down into twelve hypotheses.

The 12 hypotheses are as follows:

H1 = Performance expectations have a positive effect on behaviour.

H2 = Performance expectations and relationship behaviour intention are moderated by gender.

H3 = Performance expectations and relationship behaviour intentions moderated by age.

H4 = Business expectations have a positive effect on intention behaviour.

H5 = Effort expectation and moderated behaviour intention relationship based on gender.

H6 = Effort expectation and behaviour intention relationship moderated by age.

H7 = Social influence has a positive effect on intention behaviour.

H8 = Social influence and behaviour intention relationship is moderated based on gender.

H9 = Social influence and behaviour intention relationship is moderated by age.

H10 = The facilitation condition has a positive effect on the use of behaviour behaviour.

H11 = Facilitating conditions and using behaviour relationships moderated by age.

H12 = Behavioral intention has a positive effect on the use of behaviour

Create Survey Questions

In creating a survey, how you get your information and what type of questions you have

plays an important role in making a successful survey. Survey questions have 4 types of

questions as follows:

a. Multiple Choice Questions
This type of question allows survey respondents to select one or more options from a

list of answers that the researcher determines. The researcher should use multiple choice

questions when the researcher has a fixed number of choices.

b. Rating Scale Question
With rating scale questions, survey respondents choose a single rating for the researcher

question. Customer satisfaction survey questions often use a Likert scale to measure

customer opinions or attitudes.

c. Question Comment Or Essay
Open survey questions do not provide specific answer options, and require respondents

to type their answers in the comments box. The feedback can then be viewed

individually or with advanced text analysis tools, such as Survey Monkey's Open Ended

Question Analysis tool.

d. Demographic Questions
If, for example, the researcher needs information about the background or income level

of the respondent, demographic survey questions will serve the researcher well.

Data Collection

Data collection aims to obtain information or data needed by researchers. Data

collection was carried out by conducting observations, interviews and questionnaires.

Analysis

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Analysis is the ability to solve or decompose a material into smaller components so that it

is easy to understand.

Conclusions and Recommendations

At this conclusion stage contains the points of all the stages that have been carried out.

And suggestions are solutions that are intended to solve constructive and critical problems for

this research.

4. Results and Discussions

Results and Discussion is a section that contains all scientific findings obtained as

research data. This section is expected to provide a scientific explanation that can logically

explain the reason for obtaining those results that are clearly described, complete, detailed,

integrated, systematic, and continuous. The discussion of the research results obtained can be

presented in the form of theoretical description, both qualitatively and quantitatively. In

practice, this section can be used to compare the results of the research obtained in the current

research on the results of the research reported by previous researchers referred to in this study.

Scientifically, the results of research obtained in the study may be new findings or
improvements, affirmations, or rejection of a scientific phenomenon from previous researchers.

This research was conducted to determine the level of public acceptance of the existing

platform system at PT. Didimax Futures. In this study, researchers chose to use the Unified

Theory of Acceptance and Use Of Technology (UTAUT) method. In this method, the researcher

uses four variables, including performance expectations, business expectations, social

influences, and facility conditions, moderated by gender and age factors. This research was

started from March 1, 2020 to completion. The target of this research is active users at PT.

Didimax Berjangka Pekanbaru who has used or has a trading account. The population in this

study amounted to 175 and the number of samples obtained using the Slovin formula was 121

users. The data for this study were obtained from PT. Didimax Berjangka Pekanbaru, as well as

distributing questionnaires containing statements regarding the acceptance of Didimax

Berjangka platform technology which will be filled in by users (customers) according to a

predetermined number of samples. The data obtained will be processed by researchers with the

help of the IBM SPSS version 16 application.

Using regression analysis will help find the relationship of two or more variables or the

dependence of a variable with other variables. UTAUT has four independent variables, namely

performance expectancy, effort expectancy, social influence, facilitating conditions and two

dependent variables, namely the intention to use technology (behavior intention), the behavior

of using technology ( use behavior) and two moderating variables, namely gender and age . To

determine the effect of the independent variable, the dependent variable and the moderating

variable gender and age, a regression analysis was performed. The following is Figure 2 of the

independent, dependent and moderating variables UTAUT which is the reference for regression

analysis:

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Fig. 2. Independent, Dependent, and Moderating Variables

Analysis or regression test using SPSS IBM Statistics 16 software. While the data used

comes from the research questionnaire. The following table 1 summarizes the results of the

regression test with the dependent variable Behavior Intention:

Table 1 – Regression Y1

Variable

Constant

Regression

Coefficient
t Count Significant

X1 0.147 3.184 0.002

X2 0.175 4.305 0.000

X3 0.100 1.642 0.103

Z1 0.165 0.554 0.584

Z2 0.358 1.180 0.240

X1.Z1 0.066 0.847 0.399

X2.Z1 0.145 1.564 0.120

X3.Z1 0.090 1.006 0.316

X1.Z2 0.105 1.356 0.178

X2.Z2 0.145 1.518 0.132

X3.Z2 0.102 1.139 0.257

Following are the results of the regression test with the dependent variable Use

Behavior :

Table 2 – Regression Y2

Variable

Constant

Regression

Coefficient
t Count Significant

X4 0.289 4.224 0.000

X4.Z2 0.110 1.448 0.150

Y1.Y2 0.328 24.957 0.000

5. Conclusion

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Based on the results of the study, entitled analysis of technology acceptance of

platform technology at PT. Didimax Berjangka in Pekanbaru, this study gets the

conclusions obtained from the results and discussion including:

1. From the results of research on platform technology from a total of 121 users
(customers) who have used or have a trading account at PT. Didimax Futures

Pekanbaru. Of the 121 respondents, 71 of them showed the results agreed

according to table 5.4, it can be concluded that the acceptance of platform

technology at PT. Didimax Berjangka agreed.

2. The level of acceptance of platform technology has a significant correlation, seen
from the H1 hypothesis test, which states that the variable performance

expectancy has a positive and significant impact on behavior intention and H10

facilitating conditions have a positive effect on use behavior, the two hypotheses

prove that the PE and FC variables are factors that influence users. in using

platform technology.

3. EE variable does not have a positive and significant effect on behavior intention
and on the contrary, social influence on behavior intention has a positive but

insignificant effect

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