NTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIII, Issue V, May 2024

www.ijltemas.in Page 46

Analysis of Pedulilindungi Applications for Travelers in the Covid-

19 Pandemic

Dorothea Ingrid Susan Tomasowa., Wiyarni Wiyarni

Postgraduate STIE Malangkucecwara Malang, East Java, Indonesia

Corresponding Author

DOI : https://doi.org/10.51583/IJLTEMAS.2024.130507

Received: 28 March 2024; Accepted: 06 April 2024; Published: 08 June 2024

Abstract: This study aim to investigate the acceptance of PeduliLindungi in the community, specially people in Central of

Balikpapan city who perform PCR and antigen tests for traveling. For analyzing data, this research used user experience

questionnaire (UEQ) tools that consists of 26 questions. The 26 questions in the UEQ tools can be classified become six

categories, those categories are: attractiveness, perpicuity, efficiency, dependability, stimulation and novelty. Respondents of this

study is 44 people and the results show that attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty have

positive evaluation. Novelty in this study has the lowest value, it means that PeduliLindugi application lack of creativity. If

compare with data in the bencmark of UEQ tool, the PeduliLindungi has value below average.

Keyword: PeduliLindungi Application, UEQ tool, Bencmark, Novelty

I. Introduction

In January 2020 the world was shocked by an outbreak of a new respiratory infection virus that started from Wuhan, Hubei

Province, which then spread to various countries. The World Health Organization (2020) has named this pandemic as Corona

Virus Disease 2019 (COVID-19), where the first case was found in December 2019. This disease has spread to all corners of the

world and causes ongoing pandemics. The spread of this disease has had a broad social and economic impact, including in

Indonesia. The increase in Covid-19 cases in various parts of the world, including Indonesia, may be due to the emergence of the

Delta COVID-19 variant.

The spread of the disease is quite wide and fast, forcing governments to act quickly. One of them is by implementing various

health protocol regulations that limit direct interaction for the community, in order to reduce the spread of the virus. The

implementation of this fairly strict health protocol, indirectly has a large enough impact for the community and economic actors.

The existence of quite strict regulations in limiting interpersonal interaction forces economic actors to think of more effective and

innovative ways to be able to reach customers with minimal interaction. One way that economic actors do is to change their

interaction pattern from a face-to-face system directly to an online system.

One of the Government's efforts to reduce or stop the number of patients affected by the Covid-19 disease is to carry out tracking

and tracing for every traveler, the obligation to carry out PCR or antigen for travellers, and also carry out mass vaccinations for

the entire community. To facilitate the process of monitoring the health data of these travelers, the Government launched the E-

HAC Application. In the E-HAC application, the health data (tracing, tracking, PCR and antigen test results, as well as

vaccination status) of the travel agents are listed. For those who will travel outside the region, a PCR (polymerase chain reaction)

or antigen examination is required and are required to download the E-HAC Application as one of the requirements to travel

domestically using non-land transportation.

E-HAC stands for Electronic - Health Alert Card. The E-HAC system was developed by the Indonesian Ministry of Health,

namely the Directorate of Health Surveillance and Quarantine, the Directorate General of Disease Prevention and Control. The

purpose of using E-HAC is to quickly monitor all international and domestic travelers who will come to Indonesia through

seaports and airports, including one of them is to monitor the spread of diseases carried by all passengers. The use of E-HAC

itself has been enforced by the Government since June 26, 2020, with the issuance of SE No. HK.02.01/MENKES/382/2020.

When purchasing airplane and/or ship tickets, travelers who will travel domestically and abroad are required to show a certificate

of negative RT-PCR examination results or a certificate of results from the rapid test of non-reactive antigen/antibody to the

airline/service operator electronically or non-electronic. Travelers are expected to have downloaded and filled out the E-HAC

application upon departure and officers can verify. At that time, the problem for the E-HAC application was many laboratories

are not yet connected to the Health application owned by the Government or the Ministry of Health, thus facilitating the

falsification of results.

Another government effort in fighting Covid-19 is by utilizing technology for the development of digital applications that are able

to track users to stop the spread of Corona Virus Disease (Covid-19). This application is named "PeduliLindungi (Care Protect)".

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This application relies on community participation to share location data with each other which has been in effect since April

2020 with the aim of being able to do tracking, tracing and others. The PeduliLindungi application was launched by the Ministry

of Communication and Information in April 2020 through the Decree of the Minister of Communication and Information No. 171

of 2020 as the basis for tracing, tracking, and fencing through telecommunications infrastructure, systems and applications to

support health surveillance.

The designation of this website-based application as well as Android and iOS when it was created was to support the

implementation of the Covid-19 Vaccination Program. How to use this application is actually quite easy because many people are

used to using and going with their cellphones as a means of communication. However, problems that arise from the

Pedulilindungi application include not all communication tools or mobile phones that can support this application; so that many

people still do not understand and do not participate in making this application work properly.

In connection with the use of the E-HAC Application and the PeduliLindungi Application, both of which aim to protect everyone

from the Covid-19 disease, the Government issued a policy of merging the two applications as of August 23, 2021. So that only

one application is used, namely the PeduliLindungi Application. This application will be connected to the Health Application

belonging to the Ministry of Health called the NAR Application (New All Record-19). The usefulness of the NAR (New All

Record -19) application makes it easier for the Government to search for health data from all travelers throughout Indonesia by

checking the NIK or Population Identification Number of the E-KTP they have.

This study aims to analyze the use of PeduliLindungi Application that now merge with E-HAC Application. Previous studies

have been conducted, but only focusing in the PeduliLindung itself and not merge with E-HAC (Martinadhia et al., 2021; Haerani

& Alam, 2021; Putri & Radja, 2021; Nurhidayati et al., 2021). Martinadhia et al. (2021) mentions from a legal perspective there

are some problems in the use of PeduliLindungi Application, such as not evenly ease technology in use PeduliLindungi

Applications, protection vulnerability against Data Leakage Risk, location activation obligations is offending user privacy. Using

user experience questionnaire (UEQ) tool, Haerani & Alam (2021) found that attractiveness, clarity, efficiency, accuracy,

stimulation and novelty of PeduliLindungi Application still has very low scores. Putri & Radja (2021) also examined the

PeduliLindungan Application to look at the disaster analysis model in the government's protected care program, which was

designed as a kind of disaster mitigation in Indonesia. Nurhidayati et al. (2021) in their study found that data protection personal

user of PeduliLindungi Application is based on the regulations governing Information Technology and Communication, Health,

and Implementation of Population administration, even though the government provides security guarantees for PeduliLindung

users, but until now PeduliLindung application users have still not in demand. Different with previous studies, Sefrika (2021) and

Irawati et al. (2019) focused on theory Technology Acceptance Model (TAM) for analyzing the PeduliLindungi Application. This

study analyze Peduli L in dungi Application that merge with E-HAC.

II. Literature Review

PeduliLindungi Application

The PeduliLindung application is stipulated through the Decree of the Minister of Communication and Information Number 171

of 2020 as amended by the Decree of the Minister of Communication and Informatics Number 253 of 2020 concerning

Amendments to the Decree of the Minister of Communication and Information Technology Number 171 of 2020 concerning the

Determination of the PeduliLindungi Application in the context of implementing Health Surveillance for Handling Corona Virus

Disease 2019 (Covid-19). As an application that is used in the implementation of health surveillance by the government in

dealing with the spread of Covid-19, the Pedulilindungi application must continue to be maintained because it is very helpful for

the community in tracing, tracking, fencing and warning Covid-19.

The Pedulilindungi application is still being developed by completing various features that can make it easier for people in the

new normal era, one of which will be the addition of the e-passport feature as a travel document in the form of user data that has

been declared negative for the Covid-19 test. The government will also improve the Pedulilindungi application so that it can be

used by non-smartphone telephone devices.

In addition, the government has also created a monitoring dashboard that is used for tracing, tracking, and fencing. In this case,

dashboard tracing and tracking to see users who have closed-contact with positive patients. Fencing dashboard to see the

movement of people in self-quarantine. Monitoring is available at the Ministry of Health which can be used in particular to

monitor patients and people who are self-quarantining. Indonesia as an Asian country with a large population and islands must of

course also try to maintain the health of its citizens, by asking all citizens to take part in downloading the Pedulilindungi

application as a means of anticipating the Covid-19 outbreak through the government together with Ministry of Communication

and Information and the ministry of health. Fitur PeduliLindungi Application can be seen in the figure 1 below.

NTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

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Figure 1: The PeduliLindungi Application shows our location

This application was created to identify people who have been in close contact with people who have tested positive for Covid-19

or Patients Under Surveillance (PDP) and People Under Surveillance (ODP). Through the application, the user can remember his

travel history and with whom he made contact. In addition, this application can also make it easier for people who are active

outside the home to be aware of virus carriers.

The PeduliLindung application works for people who have downloaded this application. They are asked to activate blue tooth on

their cellphones. It is hoped that with the condition of blue tooth being active, the application will periodically identify other

PeduliLindung users' phones, which are in the blue tooth radius, to record their location and contact time. The mechanism is that

adjacent cellphones will then record each other's anonymous IDs, the Anonymous ID data will be stored within 14 days, so that if

someone is declared sick by a health worker (not by an application) and inputted into the database system, then the system will

filter out other anonymous IDs that have been in contact with Covid-19 sufferers in the last 14 days. The Pedulilindungi

application was created by the government as an anticipation of the Covid-19 that occurred in Indonesia.

The obstacle in socializing the use of the PeduliLindung application is that the utilization of the PeduliLindung application is

currently not fully optimal due to the delay in the process of filling in the data of positive Covid-19 people by the relevant

agencies, and the number of users of the PeduliLindung application still needs to be increased. For this reason, so that the

effectiveness of the PeduliLindung application can be further improved by instructions from the government that include: require

all travelers to use digital travel permits that exist in Pedulilindungi; prepare field officers regarding verification of digital travel

permits at Pedulilindungi; prepare personnel to verify travel permit applications; checking for travellers, namely employees, by

building security to download and use the Pedulilindungi application on mobile devices before being allowed to enter the

building; and checking travelers in malls or tourist areas by security to use the Pedulilindungi application before being allowed to

enter the mall or tourist area.

New All Record TC-19 (NAR) Application

The New All Record (NAR) application is an application created by the Ministry of Health as health data, which has the

objectives and benefits for: recording of Covid-19 reports, contact tracing, scan the e-Hac travel terms, venue check in, self

isolation telemedicine, and Covid-19 R&D. Minister of Health Decree No. HK.01.07-MENKES-405-2020 states that each

laboratory is required to report or fill out the results of the Covid-19 specimen examination into the TC-19 all record system. So,

With this application, it is easier for the government to obtain health data for all travelers and non-travelers in an effort to

anticipate health problems during the pandemic.

Filling out the NAR application can only be accessed by Health Service Facilities, Laboratories and the Health Service. As for the

laboratories registered in the Ministry of Health network for carrying out PCR or Antigen tests, the current number registered

throughout Indonesia reaches 908 (updated data as of December 12, 2021). The management of the NAR application is used for

PCR and antigen test carried out in the Clinical Laboratory. Obstacles in filling out the TC-19 All Record Application (NAR) in

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order to be able to send the results of the PCR or Antigen test in the PeduliLindungi application are: if the Ministry of Health is

updating the allrecord TC-19 application, it will cause access to be blocked; the mobile number as a communication tool provided

does not match the one registered in the Cares for Protection application; not updating data in the Pedulilindungi application, for

example, ID is not entered in the application's personal data; and mobile as a communication tool is not supported.

III. Research Method

This study used qualitative approach. The respondents of this study are 44 people in the Central of Balikpapan city that perform

PCR and antigen tests for traveling. Collecting data of this study is 5 working days (Monday, Tuesday, Wednesday, Thursday,

and Friday). Collecting data that used in this study was User Experience Questionnaire (UEQ) toolkit. The UEQ Toolkit is a

questionnaire test tool that is used to test the usability of the user experience level of a product. UEQ has 26 questions which are

scaled to 6 categories and can be downloaded on the official website http://www.ueq-online.org (Schrepp, 2019). The six scales

are attractiveness, efficiency, perspicuity, dependability, stimulation, and novelty. The six scales for this study can be described in

the figure 2 below.

Figure 2: Assumption of Scale Structure of UEQ

The UEQ analysis has five categories namely Very Good, Good, Above Average, Below Average, and Poor. Table 1 below

describe the scores of those categories.

Table 1: Scores of the categories

Aspects

Very good

Good

Above Average

Below Average

Poor

Attractiveness

> 0.66

> 0.26

> 0.4

> 0.49

0.69

Perspicuity

> 0.5

> 0.27

> 0.53

> 0.48

0.72

Efficiency

> 0.62

> 0.38

> 0.45

0.6

Dependability

> 0.8

> 0.22

> 0.34

> 0.36

0.78

Stimulation

> 0.8

> 0.35

> 0.5

0.5

Novelty

> 0.9

> 0.48

> 0.42

> 0.54

0.16

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The statements in the UEQ toolkit can be seen in the figure 3 below.

Figure 3: Statements of UEQ

Items are scaled from minus three (-3) to positive three (+3). So, -3 represents the most negative answer, 0 the neutral answer, and

+3 the most positive answer. With a total of 7 scales of pairs of meaningfully contradicting attributes that can represent the

operational statement of E-HAC in the PeduliLindungi application. Respondents expressed what they felt when using the

application by choosing an answer between 1 and 7 which was closest to the experience they had when using the E-HAC

application.

IV. Results and Discussions

Results

This study described the respondents by gender, age, and occupation. The female respondents of this study is higher than male.

There are 18 people male and 26 people female. Based on the occupation, there are 39 employees, 3 housewife, and 2 others. It

can be said that most of the employees need PCR and antigen tests. Based on the age, there are 11 respondents have the age

between 20 and 40 year old and 33 respondents are between 40 and 60 years old. It can be said, that people who traveling and

have PCR and antigen tests are adult people.

The UEQ assessment consists of seven stages on data analysis tools. The first stage is data processing by entering the result data

filling out the questionnaire into the starting tools from question number 1 to 26 as many as 44 respondents. The second stage

performs data conversion by changing the value per item accordingly order of values i.e. +3 represents a positive value and -3 the

most negative value. Data conversion process produce the average score of each person grouped by six scale. The third stage is

calculating the mean. The fourth stage is deciding confidence intervals. Here the 5% confidence interval for the mean single-item

scale and average displayed. The confidence interval is a measurement for the accuracy of the average estimate scale. The fifth

stage is answer distributions for single items. If there are items that show polarization in answer (many negative ratings and many

positive and not much of a neutral rating), it can help to get deeper insight into aspects of product experienced as quite positive by

one subgroup of participants and enough negative by other subgroups. The sixth stage is scale consistency. Items belonging to the

same scale must show a high correlation in general. Here, it can find correlation of items in scale and multiple common

coefficients, Cronbachs Alpha and Guttmans Lambda2, which are usually used to estimate scale reliability. The last stage is

benchmark. UEQ uses benchmark standards, measurable scale means are established and have been widely supported so total

version exists 37 languages.

The first stage of this study in using UEQ can be seen in the table 2 below.

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Table 2: Weight of the respondents' answers

Source: Data processed 2022

Based on respondents' answers to each question, the midpoint, variation and standard deviation were calculated for each question.

Then the questions are grouped into six scales, namely attractiveness, clarity, efficiency, accuracy, stimulation and novelty and

are given a distinguishing color code.

Results of the second stage of UEQ assessment of this study that conversion the value per item to become positive and negative

value can be seen in the figure 4 below

Figure 4: Mean Value per Item

Item Mean Variance Std. Dev. No. Left Right Scale

0,9

2,4 1,5 44

annoying enjoyable attractiveness

1,5

2,3 1,5 44

not understandable understandable perspicuity

0,4

2,8 1,7 44

creative dull novelty

0,7

3,8 1,9 44

easy to learn difficult to learn perspicuity

0,9

2,7 1,7 44

valuable inferior

stimulation

0,7

2,2 1,5 44

boring exciting

stimulation

0,8

2,5 1,6 44

not interesting interesting

stimulation

0,8

2,3 1,5 44

unpredictable predictable dependability

0,5

3,7 1,9 44

fast slow efficiency

0,8

2,6 1,6 44

inventive conventional novelty

1,1

2,5 1,6 44

obstructive supportive dependability

0,7

3,4 1,9 44

good bad attractiveness

1,0

2,5 1,6 44

complicated easy perspicuity

0,9

2,0 1,4 44

unlikable pleasing attractiveness

0,7

2,2 1,5 44

usual leading edge novelty

0,9

2,9 1,7 44

unpleasant pleasant attractiveness

0,5

3,0 1,7 44

secure not secure dependability

0,4

2,9 1,7 44

motivating demotivating

stimulation

0,6

2,9 1,7 44

meet expectation doesn't meet expectation dependability

1,0

2,4 1,6 44

inefficient efficient efficiency

1,0

2,6 1,6 44

clear confusing perspicuity

1,1

2,8 1,7 44

impractical practical efficiency

0,7

3,3 1,8 44

organized cluttered efficiency

0,7

2,6 1,6 44

attractive unattractive attractiveness

0,9

3,1 1,8 44

friendly unfriendly attractiveness

0,9

3,2 1,8 44

conservative innovative novelty

-3 -2 -1 0 1 2 3

annoying /enjoyable

not understandable/understandable

dull/creative

difficult to learn /easy to learn

inferior /valuable

boring/exciting

not interesting/interesting

unpredictable/predictable

slow/fast

conventional/inventive

obstructive/supportive

bad/good

complicated/easy

unlikable/pleasing

usual/leading edge

unpleasant/pleasant

not secure/secure

demotivating/motivating

doesn't meet expectation/meet expectation

inefficient/efficient

confusing/clear

impractical/practical

cluttered/organized

unattractive/attractive

unfriendly/friendly

conservative/innovative

Mean value per Item

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The third stage is calculating mean. Results of mean and variance of UEQ scale of this study can be seen in the table 3 below.

Table 3: Mean and Variance

Source: Data processed 2022

Based on the table 3 above, it can be seen that the attractiveness category receives the score of 0.830, which lies in the zone of

positive evaluation score which range from 0.8 to the maximum score of 3. It means that the respondents liked the way the

PeduliLindungi Application was designed. The perspicuity category receives the score of 1.045 in a positive evaluation. The

perspicuity category receives the best result of any other category. It means that the respondents find the PeduliLindungi

Application is easy to get familiar. The efficiency category receives the score of 0.824, the score that makes the efficiency

category of the PeduliLindungi Application receives a positive evaluation. It means that the respondents can fill in the

PeduliLindungi Application with ease and no need of unnecessary effort.

The dependability category receives the score of 0.722, which lies in the positive evaluation zone. It means that the operational of

PeduliLindungi application is directly, making the users feels in control with the interaction. The stimulation category receives

the score of 0.716, which lies in the positive evaluation zone. It means that the users feels motivated to use the PeduliLindungi

Application. The novelty category receives the score of 0.693, which lies in the zone of positive evaluation. The novelty category

receives the worst result of all the other categories which means that the view of the PeduliLindungi lacks of creativity. For more

detail, the scale can be seen in the figure 5 below.

Figure 5: Graphic of Average Scale

The fourth stage is deciding confidence intervals. The smaller the confidence interval is, the higher is the precision of the

estimation and the more the results can be trusted. The width of the confidence interval depends on the number of available data

and on how consistenly the persons judged the evaluated product. The more consistent their opinion is the smaller is the

confidence interval. Table 4 and 5 below describe the result of confidence intervals per item and per scale of this study.

Table 4: Confidence Intervals per Item

Source: Data processed 2022

Attractiveness

0,830

1,02

Perspicuity

1,045

1,12

Efficiency

0,824

1,19

Dependability

0,722

1,17

Stimulation

0,716

1,18

Novelty

0,693

0,88

UEQ Scales (Mean and Variance)

-3

-2

-1

Item Mean Std. Dev. N Confidence

1 0,932 1,546 44 0,457 0,475 1,389

2 1,523 1,532 44 0,453 1,070 1,976

3 0,432 1,662 44 0,491 -0,059 0,923

4 0,705 1,948 44 0,576 0,129 1,280

5 0,864 1,651 44 0,488 0,376 1,351

6 0,727 1,484 44 0,439 0,289 1,166

7 0,841 1,569 44 0,464 0,377 1,305

8 0,750 1,527 44 0,451 0,299 1,201

9 0,477 1,911 44 0,565 -0,087 1,042

10 0,773 1,626 44 0,481 0,292 1,253

11 1,091 1,567 44 0,463 0,628 1,554

12 0,682 1,852 44 0,547 0,134 1,229

13 1,000 1,570 44 0,464 0,536 1,464

14 0,909 1,411 44 0,417 0,492 1,326

15 0,659 1,478 44 0,437 0,222 1,096

16 0,864 1,693 44 0,500 0,364 1,364

17 0,477 1,718 44 0,508 -0,030 0,985

18 0,432 1,704 44 0,503 -0,072 0,935

19 0,568 1,690 44 0,499 0,069 1,068

20 1,023 1,562 44 0,462 0,561 1,484

21 0,955 1,628 44 0,481 0,474 1,435

22 1,068 1,662 44 0,491 0,577 1,559

23 0,727 1,809 44 0,535 0,193 1,262

24 0,705 1,608 44 0,475 0,229 1,180

25 0,886 1,768 44 0,522 0,364 1,409

26 0,909 1,776 44 0,525 0,384 1,434

Confidence interval (p=0.05) per item

Confidence interval

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Table 5: Confidence Intervals per Scale

Source: Data processed 2022

The fifth stage of UEQ assessment is distributions of answer for per item. Figure 6 below shows the distribution of answer per

item for this study.

Figure 6: Distributio of Answer per Item

Scale Mean Std. Dev. N Confidence

Attractiveness

0,830 1,009 44 0,298 0,532 1,128

Perspicuity

1,045 1,057 44 0,312 0,733 1,358

Efficiency

0,824 1,090 44 0,322 0,502 1,146

Dependability 0,722 1,083 44 0,320 0,402 1,041

Stimulation 0,716 1,086 44 0,321 0,395 1,037

Novelty

0,693 0,938 44 0,277 0,416 0,970

Confidence intervals (p=0.05) per scale

Confidence interval

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

annoying /enjoyable

not understandable/understandable

dull/creative

difficult to learn /easy to learn

inferior /valuable

boring/exciting

not interesting/interesting

unpredictable/predictable

slow/fast

conventional/inventive

obstructive/supportive

bad/good

complicated/easy

unlikable/pleasing

usual/leading edge

unpleasant/pleasant

not secure/secure

demotivating/motivating

doesn't meet expectation/meet expectation

inefficient/efficient

confusing/clear

impractical/practical

cluttered/organized

unattractive/attractive

unfriendly/friendly

conservative/innovative

Distribution of Answers per Item

1 2 3 4 5 6 7

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The sixth stage is seeing the scale consistency. This study used Cronbachs Alpha and Guttmans Lambda2 to measure the scale

consistency. Table 6 below shows the results of Cronbachs Alpha and Guttmans Lamda2.

Table 6: Cronbachs Alpha and Guttmans Lamda2

Source: Data processed 2022

There is no generally accepted rule how big the value of the Cronbachs Alpha should be. Many authors assume that a scale should

show an alpha value > 0.7 to be considered as sufficiently consistent. Another coefficient often reported as a measure of

reliability of a scale is Guttmans Lambda2 coefficient. Lambda2 is higher than Chronbachs Alpha. It can be seen in the table 6

above, that the values of Cronbachs Alpha and Guttmans Lamda2 of the six scale are around 7, except for novelty. Therefore, it

can be concluded that attractiveness, perspicuity, efficiency, dependability, and stimulation are sufficiently consistent.

The last stage of UEQ assessment is bencmark. Benchmark is used to compare the result of this study with the existing values

from a benchmark data set. This data set contains data from 21175 persons from 468 studies concerning different products

(business software, web pages, web shops, social networks). The comparison of the results for the evaluated product with the data

in the benchmark allows conclusions about the relative quality of the evaluated product compared to other products. Table 7

below describes the bencmark of this study.

Table 7: Bencmark

Source: Data processed 2022

Figure 7 also describes the bencmark of this research.

Figure 7: Bencmark

As seen on figure 7, the PeduliLindungi Application was categorized as ‘Below Average’ in the

Attractiveness, Perspicuity, Efficiency, stimulation, and Novelty categories. The Dependability category was categorized as

‘bad’, which means that the user’s motivation to use PeduliLindungi Application is poor. The Novelty category was categorized

as ‘Bad’, which means that the PeduliLindungi Application is in the range of the worst results. From the benchmark data, it can

be seen that the operation of E-HAC in the Pedulilindungi application still has many shortcomings because all scales are still

below average.

V. Discussions

Results of the UEQ assessment found that the attractiveness, perspicuity, efficiency, stimulation, dependabilty, and novelty of the

PeduliLindungi Application are in the positive evaluation. Perspicuity has the highest score, it means that the application is very

friendly and easy to use. Novelty category although in the positive evaluation, it has the lowest score. It means that the

application is lack of creativity. This result is opposite with Haerani & Alam (2021). Using 420 respondent who already have first

vacsine in the West Java, Indonesia, Haerani & Alam (2021) found that attractiveness, clarity, efficiency, accuracy, stimulation

and novelty of PeduliLindungi Application still has very low scores. Based on the Technology Acceptance Model (TAM),

Kurniawati et al. (2020) found that the ease of use of the PeduliLindungi application greatly influences the usability and attitude

Cronbachs Alpha Guttmans Lamda2

Attractiveness 0.79 0.76

Perspicuity 0.69 0.62

Efficiency 0.69 0.63

Dependability 0.74 0.64

Stimulation 0.76 0.70

Novelty 0.58 0.46

Scale Mean Comparisson to benchmark Interpretation

Attractiveness 0,83 Below average 50% of results better, 25% of results worse

Perspicuity 1,05 Below Average 50% of results better, 25% of results worse

Efficiency 0,82 Below Average 50% of results better, 25% of results worse

Dependability 0,72 Bad In the range of the 25% worst results

Stimulation 0,72 Below Average 50% of results better, 25% of results worse

Novelty 0,69 Below Average 50% of results better, 25% of results worse

NTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIII, Issue V, May 2024

www.ijltemas.in Page 55

in using it. It means that the use of the application PeduliLindungi will increase because of the ease of use, it also indicates the

level of acceptance of the application.

From the bencmark data, the result of this study shows that attractiveness, perspicuity, efficiency, stimulation, and novelty

categories are below average. The Dependability category was categorized as ‘bad’, which means that the user’s motivation to

use PeduliLindungi Application is poor. This result is inline with Haerani & Alam (2021). Comparing with benchmark data,

Haerani & Alam (2021) finding below the average. Therefore, this study recommended the improvements to the

PeduliLindungseen Application especially in scale of accuracy that still provides information incomplete.

VI. Conclusion

This study analyze the PeduliLindungi application using UEQ assessment. Based on the results of UEQ assessment, it is found

that PeduliLindungi Application is easy to use, but for the novelty is lack of creativity. Based on other assessments of UEQ,

attractiveness, efficiency, clarity, and stimulation, the PeduliLindungi application had good performance. Compare with

bencmark data in the UEQ assesstment, the PeduliLindungi application is below the average.

References

1. Haerani, E. and Alam, R. (2021). Analisis User Experience Aplikasi PeduliLindungi untuk Menunjang Proses Bisnis

Berkelanjutan. Sains dan Teknologi Informasi (SATIN), 7 (2).

2. Irawati, T., Elistya, R. and Nayu, A. P. (2019). Penggunaan Metode Technology Acceptance Model (TAM) Dalam

Analisis Sistem In formasi Alista (Application of Logistic and Supply Telkom Akses). Accounting Information Systems

and Information Technology Business Enterprise, 04 (02), pp. 106-120

3. Kurniawati, Khadapi, Riana, Arfian, Rahmawati, and Heriyanto. (2020). Public Acceptance of Pedulilindungi

Application in the Acceleration of Corona Virus (Covid-19) Handling.

Journal of Physics: Conference Series, 1641 012026

4. Martinadhia, D. T., Muhamad, H. R., and Rafli, H. H. (2021). Analysis of the Problems on the Use of PeduliLindungi

Application in National Law Perspective. Padjadjaran Law Review, 9 (2).

5. Nurhidayati, Sugiyah, and Kartika, Y. (2021). Pengaturan Perlindungan Data Pribadi dalam Penggunaan Aplikasi

PeduliLindungi. Widya Cipta: Jurnal Sekretari dan Manajemen, 5 (1)

6. Putri, C. E. and Radja, E. H. (2021). Aplikasi PeduliLindungi Mitigasi Bencana Covid-19 di Indonesia. Jurnal Pustaka

Komunikasi, 4 (1), pp. 66-78

7. Schrepp, M. (2019). User Experience Questionnaire Handbook. website http://www.ueq-online.org

8. Sefrika. (2021). Implementasi Metode TAM Untuk Menganlisa Penerimaan Teknologi Aplikasi Peduli Lindungi. Jurnal

Sains Komputer & Informatika (J-SAKTI), 5 (2), pp. 1060-1065