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Mapping of Disability Management Publications Using Bibliometric Analysis Budi Agung Prasetya; Billy Tunas; Widya Parimita; Adi Setiawan
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 9, No 1 (2023): March
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v9i1.6668

Abstract

This research aims to identify scientific mapping and research developments related to Disability Management. Research related to disability management is needed to guide the implementation of disability management. The research method used a qualitative method using a historical approach. The research data were articles published by reputable journal publishers that use the Publish or Perish (PoP) application. Data analysis used bibliometric analysis assisted by VOSviewer. The bibliometric output visualized the keyword network and maps obtained from the titles and abstracts contained in the collected articles. The study results showed that the mapping and development of studies related to stability management are as follows: First, the publication trend of articles related to disability management which began in 1987, experienced fluctuating conditions. The data showed that research related to disability management was starting to receive attention from academics. Second, the results of the co-authorship analysis showed that there were 149 collaborating on research. Eleven authors carried out the most significant collaborations. The most articles produced by the author are seven articles. This condition showed the authors' high commitment to continue developing knowledge related to disability management. Third, a Network Visualization analysis with VOSviewer software produced 133 keywords related to stability management. These keywords were divided into 11 clusters. Keywords that were often researched were related to "intellectual disability", "perspective", "equity", "organization", "fairness", "risk, individual", "competence", "management disability practice" and "disability prevention".
Exploration of the Role of Tiktok Content: Influencer Strategy, Affiliate Marketing, and Online Customer Reviews in Influencing Generation Z Purchasing Decisions at Shopee F Fitria; Desi Tia Adisti; D Dea; Agum Gumelar; Adi Setiawan
Athena: Journal of Social, Culture and Society Vol. 2 No. 2 (2024): April 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/athena.v2i2.287

Abstract

This study aims to determine the effect of the role of influencers, affiliate marketing, and online customer reviews at Shopee through TikTok content on Generation Z purchasing decisions. This research uses a quantitative approach by collecting data through an online survey of 199 respondents of the Management Study Program students class of 2020. The data were analyzed using multiple regression methods to evaluate the relationship between the independent variables of influencer roles, affiliate marketing, and online customer reviews and the dependent variable (purchasing decisions). The analysis results show that the role of influencers, affiliate marketing, and online customer reviews have a positive and significant influence on Generation Z's purchasing decisions. The findings emphasize the importance of integrating marketing strategies through influencers, affiliate marketing, and online customer reviews in influencing Generation Z's purchasing decisions. This provides guidance for businesses to utilize e-commerce platforms such as Shopee and TikTok content as an effective means of communication to reach and influence the Generation Z market. This research makes a new contribution to the understanding of how the role of influencers, affiliate marketing and online customer reviews on Shopee, particularly through TikTok content, can influence Generation Z's purchasing decisions. This research adds insight into effective marketing strategies to capture the attention and influence the consumption behavior of the younger generation in the context of e-commerce platforms.
The Influence of Live Streaming on Flash Sale and ITS Impact on Impulse Buying of Shopee E-Commerce Users in Indonesia Ridwan Alif Nurfatria; Hakim Ramadhan; Muhammad Rifqi; Adi Setiawan; Misbak
Athena: Journal of Social, Culture and Society Vol. 2 No. 2 (2024): April 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/athena.v2i2.288

Abstract

This study aims to analyze the influence of Live streaming and Flash sale variables on the Impulse Buying behavior of Shopee E-commerce users in Indonesia. The method used is quantitative with descriptive analysis techniques to explain the characteristics of the sample and inferential analysis techniques using SPSS and AMOS software analysis tools. The study population consisted of Shopee e-commerce users in Indonesia, with a sample of 140 respondents selected by non-probability methods with purposive sampling techniques and analysis methods used in this study namely validity test, reliability test, classical assumption test, cross-tabulation test and path analysis. Data was obtained by distributing google form questionnaires through social media. The results of the analysis show that the existence of Live Streaming and Flash Sale has a positive and significant effect on Impulse Buying. This research provides a deeper understanding of the factors that influence Impulse Buying behavior in the context of Live Streaming and Flash Sale of Shopee e-commerce users. The results of this study can provide guidance for Shopee and other e-commerce parties to design more effective marketing strategies and focus on Flash Sale to increase impulse purchases. The results of the validity test output show that the data of this study is declared valid and the reliability test shows that each variable in this study is declared reliable or consistent. The statistical assumption test shows a positive and significant influence, which means that quality Live Streaming can provide stimulus to the Flash Sale program which is a limited number of offers for a short period of time so that it can encourage users to make impulse purchases or unplanned purchases. The path analysis fit model test shows a match of several samples that can subsidize the population as a whole
The Influence of Paylater and Affiliate Features on Consumer Buying Interest in Shopping on the Shopee Aplication Irma Trimulyawati; Ladina Syafa Sholeha; Adi Setiawan; Tiara Muthiarsih
Athena: Journal of Social, Culture and Society Vol. 2 No. 2 (2024): April 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/athena.v2i2.289

Abstract

The paylater feature is a digital payment feature that uses an e- commerce platform, purchasing goods among teenagers is very lacking due to the economic conditions that are currently unstable. The method used in this research is quantitative method. The population in this study was conducted at the unswagati Cirebon campus, level 1-4 management study program as many as 147 respondents.  The sampling technique used by researchers is non-probability sampling with purposive sampling technique and data analysis used in this researcher is regression and descriptive analysis then the analysis methods used in this study include validity test, cross tabulation, reliability test, normality test, multicollinearity test, hypothesis testing, path analysis fit model test using SPSS and amos Softwer analysis tools to test the effect of paylater and affiliate features on consumer buying interest. The results of this study indicate that the paylater feature has a positive effect on consumer buying interest, affiliates have an effect on consumer buying interest. Because the validity and reliability test results are less than 0.1362, the normality test is less than 0, 01, the multicoronality test is less than 10, hypothesis testing, the results show that all hypotheses are accepted, because the C.R value is more than 1.98, namely with a C.R value of 7.875 and 11.532 respectively. And the P value also shows the same result if the P value is less than 0.05 or symbolized * (below 0.01), it means that the two hypotheses have a significant effect or are accepted. path analysis fit model test is accepted because the GFT measure shows a P-value of more than 0.05, RMSE less than 0.08, CMIN less than 2.00, GFI less than 0.90, AGFI less than, 0.90, CFI more than 0.90, TLI more than 0.90. So it can be stated that the path analysis model fit test is accepted.