Corresponding Author: Endyastuti Pravitasari
E-mail: [email protected]
INTRODUCTION
Information technology is a part that always experiences
development every day and has an impact on human life. Technology plays a very
important role in supporting every activity of human life and facilitating
every need for everyday human life. The internet is one of today's
technological advances and electronic media which is intended as a means of
communication, educational processes, information, and so on. The digital
platform is the influence of the impact of advances in information
communication technology in society. The social culture of communication in
society is changing from the use of conventional devices towards high end
technology (Pravitasari dkk., 2022).
Based on the results of a survey by the Association of Indonesian
Internet Service Providers (APJII, 2023), internet users in Indonesia reached
215.63 million people in the 2022-2023 period. This number increased by 2.67%
compared to the previous period which was 210.03 million users. The development
of internet technology and social media gave birth to a new trend in the
process of mass communication. Social media is a digital application that
allows users to create and exchange information and resources, where this is
the result of social interaction via the internet.
"Information service is a service that seeks to meet the
individual's lack of information they need and then processed and used by
individuals for the benefit of life and development as a basis for decision
making" (Simamora & Umry, 2020). The importance of providing
information services according to research namely equipping individuals with
various environmental knowledge needed to solve the problems they face,
enabling individuals to determine the direction of their lives, and each
individual is unique. In essence, service expectations by customers occur if a
company or institution provides a desired service level of service related to
the fulfillment of customer expectations (Hidajat & Diandaru, 2020).
This study wants to test and analyze the effect of information
services and educational strategies on the level of understanding. The object
of this research focuses on the social media of the North Jakarta City BNN and
the research subjects of the people of North Jakarta who follow information
about drugs through the North Jakarta City BNN social media. In previous
research, there was no placement of social media objects as a moderating
variable for the effect of information services and educational strategies on
the level of understanding. This will be the latest discussion in this study
and will complement previous research, so it is hoped that this research will
make a significant contribution. Seeing that information services are one of
the appropriate services to convey information about education and about how
the level of public understanding of the dangers of drugs is through
information services by raising the title "Moderation of Social Media BNN
North Jakarta City on the Influence of Information Services and Education
Strategies on the Level of Public Understanding Regarding Drugs".
METHODS
This study
uses research samples from Instagram, Facebook, Twitter, Tiktok, and Website
users. The number of samples taken was 238 respondents. The number of indicators
of the variables studied is 19. This study has two independent variables (X),
one dependent variable (Y), and one moderating variable (Z). First, the
information service variable (X1) which consists of four indicators
namely simplicity, clarity, openness, efficiency, and fairness Restu (Merry, 2022). Second, the educational strategy
variable (X2) is an educational statement or also known as
education, which is all planned efforts to influence other people, whether
individuals, groups, or society so that they do what is expected of educational
actors (Ihsani & Santoso, 2020). Third, social media
variable (Z) is social media, which is a medium on the internet that allows
users to represent themselves and interact, collaborate, share, communicate
with other users and form social bonds virtually (Puspitarini & Nuraeni, 2019). And one dependent
variable is the level of understanding (Y) which consists of 4 variables,
namely, relationships, communication, post-understanding interactions,
information formats (Wulandari, 2020). In this research, the
approach used by the researcher is a quantitative approach whose analysis
emphasizes numerical data (numbers) and is then processed using statistical
methods. The results obtained are the significance of the relationship between
the variables studied.
The data
collection technique used was a questionnaire, in which the researcher
submitted a number of statements according to the indicators of each variable
studied using a Likert scale of 1 to 5 to respondents whose criteria had been
determined. This study uses smartPLS SEM (Partial Least Square � Structural
Equation Modeling) Software to process data and prove the research hypothesis.
In this study, exogenous and endogenous latent variables are needed. The PLS �
SEM model consists of two models, namely the measurement model (outer model)
which is used to test convergent validity, convergent validity, discriminant
validity, and reliability testing. The convergent validity test parameters are
loading factor > 0.7; AVE > 0.5; communality > 0.5. The parameter of
the discrimanan validity test is that the AVE root is greater than the variable
correlation; cross loading > 0.7 in one variable. Reliability test with two
methods, namely cronbrach's alpha and composite reliability > 0.7 although a
value of 0.6 is still acceptable. Then the structural model (inner model) is
evaluated with R2, path coefficient values or t-values for each path to test
the significance between constructs. The R-square (R2) value of 0.67 is
classified as a strong model, 0.33 is classified as a moderate model and 0.19
is classified as a weak model. The path coefficient score indicated by the
t-statistic value must be above 1.96 for the two-tailed hypothesis and above
1.64 for the one-tailed hypothesis.
RESULTS AND
DISCUSSION
This study used a selected sample of 246 respondents from North Jakarta
City BNN information service users through social media with 125 female
respondents (50.8%) and 121 male respondents (49.2%). With 26% of respondents
coming from Cilincing sub-district, 17.1% coming from Kelapa Gading
sub-district, 13.4%, coming from Koja sub-district, 10.2% coming from
Pademangan sub-district, 12.6% coming from Penjaringan sub-district, 20.7 %
came from Tanjung Priok sub-district. Testing the quality of the data in this
study used Partial Least Square (PLS) analysis, which is an equation model of
the Structural Equation Model (SEM) with an approach based on variance or
component based structural equation modeling. The software used is SmartPLS
(Partial Least Square).
Table 1. Construct Reliability and Validity
|
Cronbach's alpha
|
rho_a
|
Composite reliability
|
AVE
|
Decision
|
|
X1
|
0.838
|
0.843
|
0.878
|
0.507
|
Accepted
|
|
X2
|
0.750
|
0.751
|
0.833
|
0.500
|
Accepted
|
|
Y
|
0.707
|
0.707
|
0.819
|
0.532
|
Accepted
|
|
Z
|
0.718
|
0.723
|
0.824
|
0.540
|
Accepted
|
|
Z x X1 -> Y
|
1,000
|
1,000
|
1,000
|
1,000
|
Accepted
|
|
Z x X2 -> Y
|
1,000
|
1,000
|
1,000
|
1,000
|
Accepted
|
Source: SmartPLS Processed Data, 2023
Based
on the table above, the results of the validity test which was carried out by
comparing the square root of the average variance extracted (AVE) had a result
greater than 0.5, which means that the validity test met the criteria and was
declared good. So the indicators used in this study are valid and have met
convergent validity. The results also show that the Cronbrach's Alpha and
composite reliability scores are greater than 0.7, which means that the
reliability test is declared reliable and meets the criteria. The structural
model test or inner model shows the relationship or strength between constructs
used using 3 criteria, namely R-Square, F-Square, and Estimation for Path Coefficients.
The R-square results are robust. The result of the F-Square value for the
educational strategy independent variable (X2) is 0.099, it can be
concluded that latent variables have a strong influence at the structural
level. Furthermore, the results of the Estimation for Path Coefficient which
are used to see the significance of the influence between variables have
significant results for all hypothesis testing. The following are the results
of testing the research hypothesis:
Table
2. Hypothesis Testing
|
|
Original
Samples
|
Sample Mean
|
Standard Deviation
|
T Statistics
|
P
Values
|
Decision
|
|
X1 -> Y
|
0.269
|
0.251
|
0.108
|
2,480
|
0.013
|
Accepted
|
|
X2 -> Y
|
0.290
|
0.305
|
0.100
|
2,902
|
0.004
|
Accepted
|
|
Z -> Y
|
0.324
|
0.318
|
0.086
|
3,776
|
0.000
|
Accepted
|
|
Z x X1 -> Y
|
-0.258
|
-0.224
|
0.089
|
2,872
|
0.004
|
Accepted
|
|
Z x X2 -> Y
|
0.229
|
0.191
|
0.105
|
2,187
|
0.029
|
Accepted
|
Source:
SmartPLS Processed Data, 2023
Based on the results of the hypothesis testing above, it can be
described as follows, the hypothesis results from hypothesis one (H1)
the data analysis above shows a T-statistics value of 2.480 or more than the t
table value of 1.96. So it is stated that information services have a
significant positive effect on the level of understanding. That is, the better
the quality of online services provided, the more understanding from consumers
will increase. The results of this study are in line with research (Farhan & Dewi,
2023; Jannah dkk., 2017; Luthfiansyah dkk., 2021), which shows
that information services have a positive and significant effect on the level
of understanding, so it can be concluded that the first hypothesis (H1)
is accepted.
Proof of the second hypothesis (H2), the educational strategy
proved to have a positive and significant effect on the level of understanding
with a T-statistics value of 2.902. This shows that the better the educational
strategy perceived by consumers, the higher the level of consumer understanding
in knowledge about drugs. Thus, the evidence of this study is in line with
research conducted by (Jabar dkk., 2021;
Mintawati & Budiman, 2021; Prasetyo, 2022), who said that the educational strategy
had a positive and significant effect on the level of understanding. So it can
be concluded that the second hypothesis (H2) is accepted.
Proof of the third hypothesis (H3), customer satisfaction has
a positive and significant effect on repurchase intention with a T-Statistics
value of 3.776. When consumers read and feel satisfied in obtaining knowledge
about drugs that are in accordance with expectations, the level of consumer
understanding will increase. The results of this study support and complement
previous research conducted by (Febriani, 2020;
Mardiana, 2018; Sulthan & Istiyanto, 2019), which shows
that social media has a positive and significant effect on the level of
understanding. So it can be concluded that the third hypothesis (H3)
is accepted.
Proof of the fourth hypothesis (H4), shows that the original
sample value is -0.258 and the sample mean is -0.224 so that it is stated as a
negative value, then social media moderation weakens but significantly the
effect of information services on the level of understanding. So it can be
stated that there is a negative relationship between social media and
information services on the level of understanding. This negative influence can
be explained that the greater the level of knowledge in social media, it will
probably cause a decrease in the level of understanding. Directly, social media
has a very important role in determining consumer behavior, so that consumers
can increase understanding by providing good service so that consumer
understanding will increase. Thus, the evidence of this study can support and
complement previous research conducted by (Blut, 2016; Rainy
& Widayanto, 2020; Wiryana & Erdiansyah, 2019). So it
can be concluded that the fourth hypothesis (H4) is accepted.
Proof of the fifth hypothesis (H5), social media moderation
has a significant effect and can moderate the effect of educational strategies
on the level of understanding. Someone's interest in increasing understanding
returns to the same place from social media which is able to moderate educational
strategies towards the level of understanding. Thus, the evidence of this study
can support and complement previous research that has been conducted by (Aini & Aulia, 2022;
Candra, 2022; Wibowo, 2019). So it can be concluded that the fifth hypothesis (H5)
is accepted.
The results of this study deserve discussion related to the results of
the coefficient of determination. The coefficient of determination is usually
used as the basis for determining the effect of the independent variable on the
dependent variable. The formula used is: KD = R2 x 100%. Based on data
processing in this study, R2 was obtained, namely 0.673. The
coefficient of determination (R2) is 0.673, which means that
information services and educational strategies contribute 67.3% to the level
of understanding, while the remaining 32.7% is influenced by other factors
outside this study. The conclusion that what is meant by consumer behavior is a
number of concrete actions of individuals (consumers) that are influenced by
internal and external factors that direct them to assess, choose, obtain and
use the goods and services they want.
CONCLUSION
This study provides evidence
regarding the effect of information services and educational strategies on the
level of understanding with social media as a moderating variable. The results
of this study indicate that information services have a positive and
significant effect on the level of understanding. Educational strategies have a
positive and significant effect on the level of understanding. Social media has
a positive and significant effect on the level of understanding. Social media
weakens but influences and can moderate between information services and the
level of understanding. Social media is able to strengthen and can moderate
between educational strategies on the level of understanding. This study has
limitations, namely that only 246 respondents used information and education
services from North Jakarta City National Narcotics Agency through social
media. This research recommends to the North Jakarta City BNN if you want to
increase the level of understanding, it is suggested that you can improve the
quality of service and ensure that all content creation processes follow
increasing trends and there are educational values in the content. For future
researchers, it is hoped that this will clarify the sample because in this
study the sample used only mentions age, it is better to specify the age at
which you want to make the sample. In order for researchers to know to what
extent knowledge about drugs according to age.
REFERENCES
Aini, N.,
& Aulia, I. (2022). Melawan Intoleransi dan Ekstremisme Media Sosial:
Inovasi Kampanye Moderasi Beragama Kanal Youtube Labpsa Tv. Jurnal
Sosiologi Agama Indonesia (JSAI), 3(1), 69�81. � https://doi.org/10.22373/jsai.v3i1.1687
Blut, M. (2016). E-service
quality: development of a hierarchical model. Journal of Retailing, 92(4), 500�517. https://doi.org/10.1016/j.jretai.2016.09.002
Candra, W. A. C. (2022). A Pemanfaatan Platform Literasi Digital Berbasis Blog
Sebagai Media Edukasi Moderasi Beragama Di Era Society 5.0: Pemanfaatan
Platform Literasi Digital Berbasis Blog Sebagai Media Edukasi Moderasi
Beragama Di Era Society 5.0. Jurnal Penalaran Riset (Journal
of Reasoning Research), 1(02), 123�129.
Farhan, Y., & Dewi, I. S.
(2023). Pengaruh Layanan Informasi dalam Meningkatkan Pemahaman Resident
Tentang Penyalahgunaan Napza di Rehabilitasi Sibolangit Centre Tahun 2021. MUDABBIR
(JOURNAL RESEARCH AND EDUCATION STUDIES), 3(1), 30�38. https://doi.org/10.56832/mudabbir.v3i1.258
Febriani, N. S. (2020).
Preferensi Media Sosial Generasi Milenial pada Tingkat Pengetahuan Calon
Legislatif. Nyimak: Journal of Communication, 4(1), 89�107.
Hidajat, K., & Diandaru, S.
(2020). Pengaruh Kualitas Pelayaan Dan Product Knowledge Terhadap Keputusan
Pembelian Customer Yang Dimoderasi Oleh Tingkat Penjualan. JOURNAL FOR
BUSINESS AND ENTREPRENEURSHIP, 4(1).
Ihsani, I., & Santoso, M. B.
(2020). Edukasi Sanitasi Lingkungan Dengan Menerapkan Perilaku Hidup Bersih
Dan Sehat (Phbs) Pada Kelompok Usia Prasekolah Di Taman Asuh Anak Muslim
Ar-Ridho Tasikmalaya. Prosiding Penelitian Dan Pengabdian Kepada Masyarakat,
6(3), 289.
Jabar, R., Nurhayati, S., &
Rukanda, N. (2021). Peningkatan Pemahaman Tentang Bahaya Narkoba Untuk
Mewujudkan Desa Bersih Narkoba. JMM (Jurnal Masyarakat Mandiri), 5(6),
3557�3566. https://doi.org/10.31764/jmm.v5i6.5645
Jannah, N., Batubara, A., &
Dwinata, Y. (2017). Pengaruh layanan informasi terhadap pemahaman siswa pada
penyalahgunaan narkoba di kelas X dan XI SMK Swasta Maju Binjai Tahun
Pelajaran 2016/2017. Jurnal Serunai Bimbingan dan Konseling, 6(4),
51�61. https://doi.org/10.37755/jsbk.v6i4.67
Luthfiansyah, R. R., Miskanik,
M., & Hamam, H. (2021). Layanan informasi untuk meningkatkan pemahaman
penyalahgunaan narkoba pada siswa. Orien: Cakrawala Ilmiah Mahasiswa, 1(2),
135�142. https://doi.org/10.30998/ocim.v1i2.4886
Mardiana, M. (2018). Pengaruh
Media Sosial Terhadap Tingkat Pidana Narkotika di Sulawesi Tenggara. Communicatus:
Jurnal Ilmu Komunikasi, 2(2), 109�122. https://doi.org/10.15575/cjik.v2i2.3659
Merry, A. (2022). Efektivitas Pelayanan Publik Pada Dinas Pemerintahan Di
Lingkungan Pemerintah Kota Palembang Melalui Media Website. Efektivitas
Pelayanan Publik Pada Dinas Pemerintahan Di Lingkungan Pemerintah Kota
Palembang Melalui Media Website.
Mintawati, H., & Budiman, D.
(2021). Bahaya Narkoba dan Strategi Penanggulangannya. Jurnal Pengabdian
Kepada Masyarakat Abdi Putra, 1(2), 62�68. https://doi.org/10.52005/abdiputra.v1i2.95
Prasetyo, A. (2022). Strategi dan
kebijaksanaan P4GN dalam menciptakan penggiat anti Narkoba di lingkungan
kerja. Riau Journal of Empowerment, 5(2), 81�90. https://doi.org/10.31258/raje.5.2.81-90
Pravitasari, E., Hidajat, K.,
Albab, M. U., & Azaria, P. A. (2022). Kewirausahaan Digital Sebagai Solusi
Bagi UMKM Skala Rumah Tangga di Kelurahan Manggarai Selatan Jakarta Selatan. Jurnal Pemberdayaan Nusantara, 2(2), 40�47. https://doi.org/10.52447/jpn.v2i2.6574
Puspitarini,
D. S., & Nuraeni, R. (2019). Pemanfaatan media sosial sebagai media
promosi. Jurnal Common, 3(1), 71�80. DOI
10.34010/common.v3i1.1950
Rainy, A.,
& Widayanto. (2020). Pengaruh Keragaman Produk Dan E-Service Quality
Terhadap Minat Beli Ulang Melalui Kepuasan Konsumen (Studi Pada Mahasiswa
Universitas Diponegoro Pelanggan Zalora). Jurnal Ilmu Administrasi Bisnis,
9(1), 149�156. https://doi.org/10.14710/jiab.2020.26233
Simamora,
V., & Umry, R. A. (2020). Pengaruh Influencer Dan Social
Media Sebagai Strategi Marketing Baba Rafi Enterprise Terhadap Keputusan
Pembelian Produk Ngikan Dengan Brand Awareness Sebagai Variabel Moderating. Journal
For Business and Entrepreneurship, 4(1).
Sulthan, M., & Istiyanto, S.
B. (2019). Model Literasi Media Sosial Bagi Mahasiswa. Jurnal
ASPIKOM, 3(6), 1076. https://doi.org/10.24329/aspikom.v3i6.280
Wibowo, A.
(2019). Kampanye Moderasi Beragama di Facebook: Bentuk dan Strategi Pesan. Edugama:
Jurnal Kependidikan dan sosial keagamaan, 5(2), 85�103.
https://doi.org/10.32923/edugama.v5i2.971
Wiryana, N. Y., & Erdiansyah,
R. (2019). Pengaruh E-Service Quality Dan Perceived Value Terhadap Repurchase
Intention Dengan Customer Satisfaction Sebagai Variabel Mediasi Pada Bisnis
E-Commerce (Studi Pada Konsumen E-Commerce Di Jakarta Barat). Jurnal
Manajemen Bisnis dan Kewirausahaan, 4(5), 217�223. https://doi.org/10.24912/jmbk.v4i5.9231
Wulandari, A. (2020). Pengaruh
Kreativitas Wirausaha Dan Penggunaan Media Sosial Terhadap Perkembangan Usaha
Terdampak Covid-19 (Studi Kasus Umkm Bidang Kuliner Di Rumah Kreatif Bumn Bandung).
Univesitas Komputer Indonesia.
