The Contribution of Instagram Visit Ujung Genteng as a Social
Media Influencer in increasing Destination Awareness Impacts
Intention to Visit Ujung Genteng Beach
Aggi Panigoro Sarifiyono1, Elan Rusnendar2, Suhari3
1,2,3

Universitas Informatika dan Bisnis, Indonesia
aggipanigoro@unibi.ac.id, elanrusnendar@unibi.ac.id, suhari20@student.unibi.ac.id

Abstract

Keywords

This research explores the contribution of Instagram Visit Ujung
Genteng as a social media influencer in increasing destination
awareness that has an impact on the intention to visit Ujung
Genteng Beach. Through quantitative and qualitative approaches,
this study examines how the content shared by Visit Ujung
Genteng's Instagram account affects users' perceptions of the
destination. Survey methods were used to measure a destination's
level of awareness before and after exposure to that Instagram
content, while in-depth interviews were conducted to understand
how users responded and reacted to the content. The results
showed a significant relationship between the content posted by
Visit Ujung Genteng on Instagram and increased destination
awareness among users. The analysis also revealed that the
increased level of destination awareness had a positive correlation
with users' intention to visit Ujung Genteng Beach. Factors such as
the authenticity of the content, user engagement, and visual appeal
of the content play a key role in their influence on user intent to
visit a destination. This research provides important insights for
tourism and marketing practitioners in understanding the
important role of social media influencers in promoting tourist
destinations. The practical implications emphasize the importance
of engaging and authentic content-based marketing strategies in
increasing visitor intent to explore a particular tourist destination.

Social Media Influencer;
Destination Awareness; Visit
Intention

I. Introduction
Tourism in Indonesia has an important role in the national economy, especially in
increasing the country's foreign exchange and creating jobs (Pratiwi et al., 2023), One of
the tourism in Indonesia is in the coastal area, the problem that often occurs in the coastal
area is environmental damage due to uncontrolled tourism activities resulting in reduced
tourist arrivals (Susilo & Dharmawan, 2021) In addition, the coastal area also has
enormous economic value for the local community, where beach tourism can be one of the
important sources of income for the community around the coastal area (Horas et al.,
2023). There needs to be research conducted to find out more about the condition and
potential of tourism in coastal areas as well as positive and negative impacts (Masrun et al.,
2023). The research can be the basis for formulating sustainable tourism management
strategies and optimal benefits for local communities and tourists visiting coastal areas
(Hasibuan & Gusdini, 2023).

______________________________________________________________

DOI: https://doi.org/10.33258/birci.v6i4.7789

2065

Budapest International Research and Critics Institute-Journal (BIRCI-Journal)
Volume 6, No 4 November 2023, Page: 2065-2077
e-ISSN: 2615-3076 (Online), p-ISSN: 2615-1715 (Print)
www.bircu-journal.com/index.php/birci
email: birci.journal@gmail.com

Figure 1. Number of Tourists by Category of Beach Objects in West Java
Source: (Jumlah Wisatawan Berdasarkan Kategori Di Jawa Barat, n.d.)
From graphic data, one of this dataset contains data on the number of homestay
visitors based on the type of tourist and district/city in West Java Province from 2018 to
2021. This dataset related to the topic of Tourism and Culture is produced by the Tourism
and Culture Office which is issued every 1 year. Foreign tourists have decreased and
domestic tourists have increased. To overcome the above problems, there needs to be a
coordinated effort from various parties, such as the government, tourism entrepreneurs,
local communities, and environmental organizations (Jumlah Usaha Mikro Kecil
Menengah (UMKM) Berdasarkan Kategori Usaha Di Jawa Barat, n.d.)

Figure 2. Number of Tourists Attractions in West Java
Source: (Jumlah Kunjungan Wisatawan Ke Objek Wisata 2018-2021, n.d.)
Based on graph 2, it can be seen that the number of tourists in Sukabumi Regency is
still low compared to other cities or regencies, even though Sukabumi Regency has a lot of
tourism potential that can be developed since the inauguration of the Ciletuh - Pelabuhan
2066

Ratu tourist area on April 17, 2018 by UNESCO to become Ciletuh - Palabuhanratu
UNESCO Global Geopark or hereinafter quite known as Ciletuh - Port Ratu Geopark
(Mustikaningsih & Novianti, 2019).
Problem Formulation In research in the Tourism Sector of coastal objects, especially
in West Java from previous research on research (Nugraha et al., 2022) The findings are
the availability of infrastructure and supporting facilities for coastal tourism in West Java.
starting from the availability of infrastructure and tourism supporting facilities in coastal
objects in Java In the problem of social media content how creative content beach scenery,
tourist activities, local culinary, and interviews with locals to provide a closer experience to
social media users increase interest in tourist visits (Villaver et al., 2022).
The results of previous research were used as a problem formulation, namely: How
Social Media can increase destination awareness and interest of tourists who want to visit
Ujung Genteng beach objects in West Java.

II. Review of Literature
The increasing role of social media in tourism is becoming an increasing research
topic. Social media plays an important role in focusing on many aspects of tourism,
especially best practices in information retrieval, decision making, tourism promotion, and
consumer engagement (Zeng & Gerritsen, 2014). Social media is very important for
tourism because it helps branding, increases destination awareness, and to direct visitors
according to the expected goals.
In various tourism marketing research, promotional activities carried out on social
media can increase destination awareness (Hermina et al., 2020). Research conducted
arisandi (Arisandi & Pradana, 2018) shows that social media (youtube, Facebook,
Instagram, and Twitter) have an effect on Brand Awareness and are very important in
increasing brand awareness of self-help tourism. While the research conducted by herstanti
(Herstanti, 2023) Social media marketing activity can increase customer awareness and
also increase customer intent to visit somewhere. Social media marketing and online
marketing also increase customer intent to visit either directly or indirectly through
destination awareness (Herstanti, 2023).
According to Bilgin (BİLGİN, 2018), There are five dimensions of Social media
marketing activities, namely Ententinment, Interaction, Trendiness, Advertisement, and
Customization, Destination awareness is a promise to consumers that products will be
delivered to them with all features described , and changed (Lai & Vinh, 2013).
Destination awareness can be interpreted as whether someone has heard about a tourist
destination and which tourist destination first comes to one's mind when considering a
vacation (Milman & Pizam, 1995).
Interest can be defined as a state that consumers feel before taking an action, where
the action can be used as a benchmark to estimate the action (Jung et al., 2022). The
interest of the visit as a model as well as the consumer's attitude towards the object of the
goods is closely matched by measuring the attitude towards a product, service or their
defined brand class (Chou & Hsu, 2016). In some studies, visiting interest can be
analogous to buying interest (Ayu Virtarini, 1981; Hermawan, 2017). Adapted from
research (Savitri et al., 2022) Purchase interest has indicators:
1. Transactional interest, consumers are interested in purchasing a product that they want
to buy
2. Confessional interest, consumers are interested in buying a product based on the
recommendation of colleagues or friends and family.
2067

3. Preferential interest, Consumers are interested in wanting to make purchases when there
is a need.
Exploratory interest, consumers want to be interested in purchases on the basis of
seeing the information seen. Interest can be defined as a state that consumers feel before
taking an action, where the action can be used as a benchmark to estimate the action (Jung
et al., 2022).
Based on this description, the researcher will then describe the research model to
facilitate the research process.

Figure 3. Research model

III. Research Methods
This study uses quantitative research methods, to test exogenus variables of social
media marketing activities, endogenous variables of destination awareness and variables
of edonegus of visiting interest as well as causal clause design research. The population of
this study was followers of @infoujunggenteng_ Instagram accounts as many as 13,700.
The sample of this study used the formula of Isaac and Michael, a total of 374 samples
with an error rate of 5%. The sampling technique uses probability sampling with a simple
random sampling method.
Data collection techniques are by making observations, questionnaires, and
literature studies. Primary data sources were collected directly from respondents using a
list of questions and questionnaire statements through Googleforms distributed to
@infoujunggenteng_ Instagram followers. All questionnaire items were measured using a
five-point likert scale starting with 'strongly disagree (1)' to 'strongly agree (5)' to assess the
measured variable. as a measuring tool by collecting data through questionnaires,
Furthermore, the data in this study was analyzed using structural equation modeling
(SEM) with the help of smartpls 3.2.9 software.
Furthermore, measurements for the Social Media Marketing Activities variable
were adapted from Bilgin (BİLGİN, 2018) which consists of 5 dimensions, namely
Ententinment, Interaction, Trendiness, Advertisement, and Customization with a total of 14
questions. The variables Social Media Marketing Activities are measured in second-order
constructs using a disjoint two-stage approach with reflective-reflective constructs
(Sarstedt et al., 2019).
Variable destination awareness using 3 indicators adapted from Alvarez (HuertaÁlvarez et al., 2020), dan minat berkunjung diadaptasi dari penelitian gaffar (Gaffar, 2018)
using 3 indicators. Thevariables of destination awareness and visiting interest are
unidimensional constructs formed directly from the manifest variables with the direction of
the indicator in the form of reflective based on the theory used.
2068

Model evaluation in PLS consists of evaluation of outer models or measurement
models (measurement model) and evaluation of inner models or structural models
(structural model) (Haryono, 2016). The measurement model evaluation consists of
evaluating the loading indicators of each question item, internal consistency reliability,
convergent validity and discriminant validity. If the data has met the requirements in the
measurement model, the next stage is to evaluate the inner model consisting of standard
assessment criteria of coefficient of determination () and
statistical significance and
path coefficient (Hair et al., 2019).

IV. Discussion
4.1 Responsive Features
The characteristics of respondents in this study are seen from gender, age, education,
and social media used with the number of respondents 374 addressed in table.

gender
Age

Education

Work

Table 1. Characteristics responden
Frequency Percentage
man
133
34.64%
woman
241
62.76%
15-20
47
12.24%
21-25
90
23.44%
26-30
120
31.25%
31-35
45
11.72%
36-40
36
9.38%
40-50
26
6.77%
50>
10
2.60%
SMA
101
26.30%
D3
85
22.14%
S1
155
40.36%
S2
23
5.99%
S3
10
2.60%
Mahasiswa
101
26.30%
Swasta
111
28.91%
PNS
84
21.88%
Wirausaha
78
20.31%

N= 384
The majority of respondents in this study were women, which shows that women use
social media more often. Most respondents in the age range of 26-30 know that the use of
Instagram social media is more often used because it is popular among young people,
while the most educational status is S1 with the most job status is private employees.
4.2 Evaluation of the Measurement Model of the 1st Order
In this study, pelitian model estimation was carried out with a second order factor
using a disjoint two-stage approach on the first order construct as shown in figure
2.measurement dimensions Social media marketing activities are directly connected to all
variables / dimensions.
2069

Figure 4. 1st order disjoint two stage approach
4.3 Internal Consistency Reliability Dan Convergent Validity
Furthermore, the first step in the assessment of the reflective measurement model is
the convergent validity measurement, namely by evaluating the value of Average Variance
Extracted (AVE) and the outer loading value. Rule of thumb, Hair et al. (Hair et al., 2019)
use outer loading ≥ 0.70 Another opinion according to Chin (1998) is that the outer loading
value of ≥ 50 can be accepted provided that the values of composite reliability (CR) and
Average variance extracted (AVE) are met. Meanwhile, the value of the average variation
of each measurement item contained by the variable is an AVE value of ≥ 0.50. Internal
consistency reliability is shown by composite reliability (CR). According to Hair et al.
(Hair et al., 2014) The minimum CR value is 0.70, but for exploratory studies a CR value
between 0.60 – 0.70 is acceptable.
Table 2. Measurement model 1st order
loadings CR
Social media marketing activities
Entertainment
Enter1
Enter2
Enter3
Interaction
Inter1
Inter2
Inter3
Trendines
Trend1
Trend2
Advertisement
Adver1
Adver2
Adver3
Customization
2070

AVE

0.922 0.798
0.932
0.900
0.846
0.929 0.814
0.877
0.912
0.918
0.985 0.971
0.986
0.985
0.927 0.809
0.886
0.906
0.906
0.950 0.864

Custom1
Custom2
Custom3
Destination awareness
DAW1
DAW2
DAW3
Visit Intention
VI1
VI2
VI3

0.947
0.937
0.904
0.969 0.911
0.973
0.931
0.959
0.944 0.850
0.919
0.915
0.931

As shown in table 2, reflective construction on the first order construct shows good
internal consistency reliability with a composite reliability value of more than 0.70 from
0.922 to 0.985 which means that all variables in this study are reliable. This table also
shows the measurement of convergent validity with the Outer Loading values from 0.846 to
0.973 all more than 0.70 as well as the extracted average variance (AVE) from 0.798 to
0.971 for each study variable with values greater than 0.50 indicating that the study
variable explains at least 50% of the indicator variance.
4.4 Discriminant Validity
Furthermore, at the construct level, discriminant validity is tested using the FornellLarcker criterion by comparing the square root of each construct with the correlation of
that construct to other constructs. The square root of each AVE of a construct must be
higher than its correlation with other constructs.
Table 3. Fornell-Larcker Criterion 1st order
Adverti Customiza Destination Entertai Intera Trend Visit
sement tion
Awareness nment
ction iness Intention
Advertisement
0.899
Customization
0.716
0.929
Destination
Awareness
0.597
0.771
0.955
Entertainment
0.856
0.689
0.599
0.893
Interaction
0.873
0.723
0.636
0.843 0.902
Trendiness
0.758
0.608
0.494
0.685 0.741 0.985
Visit Intention
0.619
0.753
0.627
0.568 0.645 0.605
0.922
Based on table 3, the value of the square root of AVE of each indicator is higher than
the correlation of its own variables to other constructs. Then the validity of the
discriminant for its dimensional construct has been achieved.
4.5 Evaluation of the 2nd Order Measurement Model
A diagram of a diagram Description automatically generatedsocial media marketing
activities digunakan pada stage kedua sebagai indikator pengukur variable yang
dikoneksikan dengan variable social media marketing activities seperti pada gambar 2.
Evaluasi dilakukan terhadap instrumen penelitian ini untuk melakukan pengukuran
measurement model seperti pada evaluasi model pengukuran 1st order.
2071

Figure 5. 2nd order

4.6 Internal Consistency Reliability and Convergent Validity
Furthermore, an assessment of the measurement model was carried out on the 2nd
order model by reevaluating internal consistency, reliability and convergent validity
Table 4. Model pengukuran 2nd order
loadings CR
AVE
0.952 0.800
Social media marketing activities
Entertainment
0.907
Interaction
0.934
Trendines
0.837
Advertisement
0.937
Customization
0.854
0.969 0.911
Destination awareness
0.973
DAW1
0.932
DAW2
0.958
DAW3
0.944 0.850
Visit Intention
VI1
0.921
VI2
0.915
VI3
0.929

As shown in table 5, reflective construction on the 2nd order construct shows
relatively good internal consistency reliability with a composite reliability value of more
than 0.70 from 0.944 to 0.969 which means that all variables in this study are reliable. This
table also shows convergent validity measurements with Outer Loading values from 0.854
to 0.973 and the extracted average variance (AVE) from 0.8 to 0.911 for each study
variable with a value greater than 0.50 indicating that the research variable explains at least
50% of the indicator variance.

2072

4.7 Discriminant Validity
Furthermore, at the construct level, discriminant validity is tested using the FornellLarcker criterion by comparing the square root of each construct with the correlation of
that construct to other constructs. The square root of each AVE of a construct must be
higher than its correlation with other constructs.
Table 5. Fornell-Larcker Criterion 2nd order
Destination
Social Media
Visit
Awareness
Marketing Activities
Intention
Destination Awareness
0.955
Social Media Marketing
Activities
0.705
0.894
Visit Intention
0.627
0.722
0.922
Based on table 5, the value of the square root of AVE of each indicator is higher than
the correlation of its own variables to other constructs. Then the validity of the
discriminant for its dimensional construct has been achieved.
4.8 Structural Model Evaluation
The value of the coefficient of determination (R-Squares) for each endogenous latent
variable as predictive power of structural models can be used to evaluate structural models.
Significant, medium, and weak R-square values are 0.75, 0.50, and 0.25 respectively (Hair
et al., 2019).
Table 6. R square
R Square R Square Adjusted
Destination Awareness
0.497
0.496
Visit Intention
0.549
0.547
Judging from table 6. The magnitude of variation in the Destination Awareness
variable described by social media marketing activities of 49.6% is included in moderate
predictive power. While the magnitude of variation in the variables Visit intention
explained by social media marketing activities and destination awareness of 54.7% is
included in moderate predictive power.
4.9 Hypothesis Discussion
Table 7. Hyphothesis testing
Original
T Statistics P
Sample (O) (|O/STDEV|) Values
Social Media Marketing Activities ->
Destination Awareness (H1)
0.705
13.179
0
Social Media Marketing Activities ->
Visit Intention (H2)
0.557
6.615
0
Destination Awareness -> Visit
Intention (H3)
0.235
2.98
0.003
Social Media Marketing Activities ->
Destination Awareness -> Visit
Intention (H4)
0.165
2.693
0.007
2073

Info
Accepted
Accepted
Accepted

Accepted

a. H1: The influence of social media marketing activity on destination awareness
Based on the results of the hypothesis test, there is a positive influence of social
media marketing acivity on destination awareness of (0.705) and significant with statistical
t (13.179> 1.96) or P value (0.000 <0.05) which means H1 is accepted.
b. H2: The influence of social media marketing activity on visit intention
Based on the results of the hypothesis test, there is a positive influence on the
influence of social media marketing acivity variables on visit intention of (0.557) and
significant with statistical t (6.615> 1.96) or P value (0.000 <0.05) which means H2 is
accepted.
c. H3: The influence of destination awareness on visit intention
Based on the results of the hypothesis test, there is a positive influence of the
influence of destination awareness variables on visit intention of (0.235) and significant
with statistical t (2.98> 1.96) or P value (0.003 <0.05) which means H3 is accepted
d. H4: The influence of social media marketing activity on visit intention through
destination awareness
Based on the results of the hypothesis test, the variable social media marketing
activity has an indirect effect on visit intention through awareness design of (0.165) and
significant with statistical t (2.693> 1.96) or P value (0.007 <0.05) which means H4 is
accepted.
The variable social media marketing acivity is able to directly affect the variable visit
intentio or indirectly by involving the variable mediator destination awareness. Based on
variance accounted for (VAF) using the formula:

It can be concluded that the variable of interest in visiting is a partialy mediated
variable with a VAF value of 22.9%. Since the VAF is greater than 20%, but lower than
80%, it is recommended by Hair et al. (Hair et al., 2017).

V. Conclusion
That Instagram Visit Ujung Genteng's contribution as a social media influencer has a
significant impact in increasing destination awareness which in turn influences users'
intention to visit Ujung Genteng Beach. A thorough analysis of quantitative and qualitative
data confirms several key points: Increased Destination Awareness: The content posted by
Visit Ujung Genteng on Instagram consistently helps in increasing the level of user
awareness of the destination. Users who are exposed to such content tend to have a better
knowledge of the beauty, attractiveness, and facilities offered by Ujung Genteng Beach.
Influence on Intent to Visit: Increased awareness of a destination is directly related to an
increase in user intent to visit that destination. The higher the level of awareness achieved
through Instagram content, the more likely that users will have a strong intention to visit
Ujung Genteng Beach. Influencing Content Factors: The authenticity, visual quality, and
appeal of the content shared by Visit Ujung Genteng are key factors in influencing
destination awareness and visitor intent. Authentic and visually appealing content is more
likely to create strong user engagement and increase their interest in the destination.
2074

Strategic Implications: These findings have strong implications for the tourism and
marketing industry. Emphasizing the importance of using social media influencers with an
engaging and authentic content strategy can be the foundation for more effective travel
destination marketing efforts. In conclusion, Instagram Visit Ujung Genteng has a
significant role as an influencer in increasing destination awareness which ultimately
increases user intent to visit Ujung Genteng Beach. This confirms the importance of the
role of social media influencers in marketing tourist destinations in today's digital era.

References
Arisandi, D., & Pradana, M. N. R. (2018). Pengaruh Penggunaan Social Media Terhadap
Brand Awareness Pada Objek Wisata Di Kota Batam. JMD: Jurnal Riset Manajemen
& Bisnis Dewantara, 1(2). https://doi.org/10.26533/jmd.v1i2.263
Ayu Virtarini, N. (1981). Pengaruh Electronic Word Of Mouth dan Electronic Service
Quality pada Akun Instragram @EXPLORESEMARANG terhadap Keputusan
Berkunjung Melalui Minat Berkunjung Sebagai Variabel Mediasi (Studi pada
Pengunjung Tempat Wisata Lawang Sewu, Sam Poo Kong Dan Masji. Journal of
Chemical Information, 53(9), 1689–1699.
BİLGİN, Y. (2018). The Effect of Social Media Marketing Activities on Brand Awareness,
Brand Image and Brand Loyalty. Business & Management Studies: An International
Journal, 6(1). https://doi.org/10.15295/bmij.v6i1.229
Chou, S. W., & Hsu, C. S. (2016). Understanding online repurchase intention: social
exchange theory and shopping habit. Information Systems and E-Business
Management, 14(1), 19–45. https://doi.org/10.1007/s10257-015-0272-9
Gaffar, V. , A. T. , & P. D. N. (2018). How can social media marketing create positive
image of nature-based tourist destination in Indonesia? The Business and
Management Review, 9(4), 476–482.
Hair et al., 2017. (2017). A Primer on Partial Least Square Structural Equation Modelling
(PLS-SEM). In Journal of Chemical Information and Modeling (Vol. 53, Issue 9).
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to
report the results of PLS-SEM. European Business Review, 31(1), 2–24.
https://doi.org/10.1108/EBR-11-2018-0203
Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares
structural equation modeling (PLS-SEM): An emerging tool in business research.
European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-20130128
Haryono, S. (2016). Metode SEM untuk Penelitian Manajemen dengan AMOS, LISREL,
PLS. Badan Penerbit PT. Intermedia Personalia Utama, 450.
Hasibuan, B., & Gusdini, N. (2023). Analisis Kenaikan Retribusi Destinasi Wisata Pantai
Pangandaran. Geoplanart, 4(2), 83–90.
Hermawan, A. (2017). Pengaruh Word of Mouth terhadap Minat Berkunjung Pemustaka
pada Perpustakaan Daerah Salatiga. Lentera Pustaka: Jurnal Kajian Ilmu
Perpustakaan,
Informasi
Dan
Kearsipan,
3(1),
59.
https://doi.org/10.14710/lenpust.v3i1.16071
Hermina, N., Syahvianto, T. M., & ... (2020). … for Analyzing External Environmental
and Capability on Company Performance of Small and Medium Enterprise (Sme) in
…. PalArch’s Journal of …, 17(99).
Herstanti, G. (2023). The Visit Intention of New York City: The Influence of Social Media
Marketing (Study on Tourist Who Wish Visit The New York City). Return : Study of
2075

Management, Economic and Bussines, 2(2). https://doi.org/10.57096/return.v2i2.70
Horas, A. R., Wiyasha, I. B. M., & Sutiarso, M. A. (2023). Implementasi konsep
pengembangan pariwisata berkelanjutan berbasis community-based tourism di pantai
pandawa. Jurnal Ilmiah Pariwisata Dan Bisnis, 2(1), 132–144.
Huerta-Álvarez, R., Cambra-Fierro, J. J., & Fuentes-Blasco, M. (2020). The interplay
between social media communication, brand equity and brand engagement in tourist
destinations: An analysis in an emerging economy. Journal of Destination Marketing
and Management, 16. https://doi.org/10.1016/j.jdmm.2020.100413
Jumlah Kunjungan Wisatawan Ke Objek Wisata 2018-2021. (n.d.). Retrieved April 4,
2023, from https://jabar.bps.go.id/indicator/16/220/1/jumlah-kunjungan-wisatawanke-objek-wisata.html
Jumlah Usaha Mikro Kecil Menengah (UMKM) Berdasarkan Kategori Usaha di Jawa
Barat.
(n.d.).
Retrieved
April
4,
2023,
from
https://opendata.jabarprov.go.id/id/dataset/jumlah-usaha-mikro-kecil-menengahumkm-berdasarkan-kategori-usaha-di-jawa-barat
Jumlah Wisatawan Berdasarkan Kategori di Jawa Barat. (n.d.). Retrieved April 4, 2023,
from
https://opendata.jabarprov.go.id/id/dataset/jumlah-wisatawan-berdasarkankategori-di-jawa-barat
Jung, I. N., Sharma, A., & Mattila, A. S. (2022). The impact of supermarket credibility on
purchase intention of novel food. Journal of Retailing and Consumer Services, 64,
102754. https://doi.org/10.1016/J.JRETCONSER.2021.102754
Lai, W.-H., & Vinh, N. Q. (2013). Online promotion and its influence on destination
awareness and loyalty in the tourism industry. Advances in Management and
Applied Economics, 3(3).
Masrun, Yuniarti, T., & M. Firmansyah. (2023). Pengembangan Wisata Pantai Melalui
Pemberdayaan Masayarakat Di Kawasan Pantai Cemara Lembar Kabupaten Lombok
Barat.
Journal
of
Economics
and
Business,
9(1).
https://doi.org/10.29303/ekonobis.v9i1.130
Milman, A., & Pizam, A. (1995). The Role of Awareness and Familiarity with a
Destination: The Central Florida Case. Journal of Travel Research, 33(3).
https://doi.org/10.1177/004728759503300304
Mustikaningsih, M., & Novianti, E. (2019). Destination Branding Kawasan Wisata
Ciletuh-Pelabuhan Ratu Sukabumi Melalui Geopark. Bulletin of Scientific
Contribution,
17.
https://doi.org/https://doi.org/10.24198/bsc%20geology.v17i2.21779.g11319
Nugraha, E. A., Jelita Puteri, D. K., Yuniarti, T., & Saepudin, S. (2022). Pelatihan
Kepemimpinan dan Peranan Pokdarwis Dalam Pengembangan Wisata Pulau Putri di
Kabupaten Karawang. IKRA-ITH ABDIMAS, 6(2). https://doi.org/10.37817/ikraithabdimas.v6i2.2412
Pratiwi, A. A., Nailufar, F., Ekonomi, F., Bisnis, D., & Malikussaleh, U. (2023). Pengaruh
Investasi Dan Devisa Sektor Pariwisata Terhadap Pertumbuhan Ekonomi Di
Indonesia. Jurnal Aplikasi Ilmu Ekonomi, 1(2).
Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to
specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian
Marketing Journal, 27(3), 197–211. https://doi.org/10.1016/j.ausmj.2019.05.003
Savitri, C., Hurriyati, R., Wibowo, L. A., & Hendrayati, H. (2022). The role of social
media marketing and brand image on smartphone purchase intention. Canada.
International Journal of Data and Network Science, 6, 185–192.
https://doi.org/10.5267/j.ijdns.2021.9.009
2076

Susilo, R. K. D., & Dharmawan, A. S. (2021). Paradigma Pariwisata Berkelanjutan di
Indonesia dalam Perspektif Sosiologi Lingkungan. Jurnal Indonesia Maju, 1(1).
Villaver, R. P., Dela Madrid, A. M. K., Galinato, K. L. M., & Lauronilla, J. K. (2022).
Assessing Social Media Marketing of Select Beach Resorts in Pantukan. Journal of
Social
Responsibility,Tourism
and
Hospitality,
25.
https://doi.org/10.55529/jsrth.25.31.34
Zeng, B., & Gerritsen, R. (2014). What do we know about social media in tourism? A
review.
In
Tourism
Management
Perspectives
(Vol.
10).
https://doi.org/10.1016/j.tmp.2014.01.001

2077