International Journal on Social Science, Economics and Art
International Journal on Social Science, Economics and Art is an open access, peer-reviewed and refereed journal published by Institute of Computer Science (IOCS), Indonesia. The main objective of International Journal on Social Science, Economics and Art is to provide an intellectual platform for the international scholars. International Journal on Social Science, Economics and Art aims to promote interdisciplinary studies in humanities and social science and become the leading journal in humanities and social science in the world. The journal publishes research papers in the fields of humanities and social science such as anthropology, business studies, communication studies, corporate governance, criminology, crosscultural studies, demography, development studies, economics, education,learning, ethics, geography, history, industrial relations, information science, international relations, law, linguistics, library science, media studies, methodology, philosophy, political science, population Studies, psychology, public administration, sociology, social welfare, linguistics, literature, paralegal, performing arts (music, theatre & dance), religious studies, visual arts, women studies and so on. The journal is published in both print and online versions. International Journal on Social Science, Economics and Art publishes original papers, review papers, conceptual framework, analytical and simulation models, case studies, empirical research, technical notes.
Articles
206 Documents
<![CDATA[Market capitalization growth and leverage level on the performance of automotive and component sub-sector shares ]]>
<![CDATA[Suskim Riantani]]>;
<![CDATA[Gusni Gusni]]>;
<![CDATA[Siti Komariah]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 3 (2023): Nov: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35335/ijosea.v13i3.403
<![CDATA[The performance of stocks, as measured by stock return, is a crucial factor and often a primary consideration for investors when making investment decisions. The potential for profit in investing is attainable when investments are made for the long term and in the right instruments. The objective of this research is to analyze the influence of market capitalization growth, measured by the value of stock price and tradable shares, and leverage level, measured using the debt to equity ratio, on stock performance measured by stock returns. The research methodology employs descriptive verification analysis with a quantitative approach. The study focuses on the manufacturing industry, specifically the automotive and component sub-sector, listed on the Indonesian Stock Exchange (IDX). Observations were carried out over the period 2015-2020, involving 12 stock issuers. The sampling method utilized was purposive sampling. Data analysis was conducted using panel data regression, with the application of an F-test to examine the research model and a t-test to evaluate the research hypotheses at a significance level of 5% alpha. The results of the model test demonstrate a good fit, allowing for the subsequent testing of research hypotheses. The research findings reveal that market capitalization growth (market cap) has a positive and significant correlation with stock performance, as measured by stock returns. On the other hand, the leverage level measured using the debtto equity ratio has not impacted stock performance.]]>
<![CDATA[The existence of fintech as a financing instrument in improving financial inclusion for MSMEs in Sidayu District ]]>
<![CDATA[Kholid Albar]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 3 (2023): Nov: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35335/ijosea.v13i3.404
<![CDATA[In the modern era, people are increasingly opting for technology-driven shopping systems to acquire goods without face-to-face transactions. Financial Technology (fintech) is gaining popularity due to its ease, speed, and user-friendliness. The use of fintech in the business world, particularly in culinary Micro, Small, and Medium Enterprises (MSMEs), has had a positive impact and response in Sidayu District, Gresik Regency. Consumers in the age range of 17-35 years, welcome the existence of this fintech. There is a certain satisfaction that is felt when we follow the development of current technology, ease of transactions and so on. However, there are still challenges in promoting equal adoption of this technology due to limited information and awareness among the community in Sidayu District. Furthermore, the public's interest in this technological innovation is not sufficiently strong, resulting in limited distribution of fintech usage. Based on the results of the study, the existence of Financial Technology or more commonly known as fintech has a role in supporting the increase in inclusion of financing products for the community, especially for MSMEs in Gresik Regency, although this does not guarantee that its development will be comprehensive for areas in Gresik Regency. A SWOT analysis indicates that culinary MSME businesses have high potential for growth and development if business owners implement various marketing strategies tailored to their needs.]]>
<![CDATA[The influence of green marketing, product knowledge, and influencers on purchase intention ]]>
<![CDATA[Rina Sugiarti]]>;
<![CDATA[Nenik Diah Hartanti]]>;
<![CDATA[Ekaning Setyarini]]>;
<![CDATA[Sri Kurniasih Agustin]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 3 (2023): Nov: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[This study aims to analyze the influence of green marketing, product knowledge and influencers on purchase intention of Avoskin cosmetic products. Respondents in this study are educated generation Z who live in Jabodetabek who have the intention to purchase Avoskin cosmetic products. The sampling method uses non probability sampling with accidental sampling technique. The data source is primary data obtained by distributing questionnaires to respondents which are measured through several indicators of each related variable. The test stages carried out are validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, F test and t test. The results showed that green marketing and influencers have an effect on purchase intention, while product knowledge has no effect on purchase intention.]]>
<![CDATA[The effect of talent management on turnover intention mediated by employee engagement ]]>
<![CDATA[Sinta Sundari Heriyanti]]>;
<![CDATA[Raniasari Bimanti Esthi]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 3 (2023): Nov: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35335/ijosea.v13i3.406
<![CDATA[This study aims to determine the effect of talent management on turnover intention, that mediated by employee engagement. The population in this study were employees of the millennial generation aged 25-39 years and Z generation aged 19-24 years who worked in automotive / automotive spare part companies in the Bekasi Industrial Area with a total sample of 132 respondents. The data collection method uses an e-questionnaire through the Google form and the results of data analysis use Smart PLS. The results of the structural equation model analysis show that talent management has a significant positive effect on turnover intention, and this effect is mediated by employee engagement. These findings indicate that organizations must have an effective talent management strategy that can increase employee engagement to reduce turnover intention.]]>
<![CDATA[The influence of customer experience on repurchase intention at tekun.id beverage outlets ]]>
<![CDATA[Yusuf Tojiri]]>;
<![CDATA[Jajang Sugiat]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35335/ijosea.v13i4.422
<![CDATA[This research aims to determine the influence of customer experience on repurchase intention at Tekun.Id beverage outlets. The research method used is descriptive and associative methods with data collection through surveys using questionnaires. Research respondents are Tekun.Id customers who have made previous purchases. The results of data analysis using SPSS software show that customer experience has a positive and significant influence on repurchase intention. These findings highlight the importance of service quality, positive interactions, and visual elements such as drink color in creating a positive customer experience. Strategic implications involve expanding loyalty programs, improving service quality, and focusing on visual innovation to increase customer retention. The conclusions of this research provide an in-depth understanding of the relationship between customer experience and repeat purchase decisions, which can be a valuable guide for companies in optimizing their marketing strategies.]]>
<![CDATA[The influence of work discipline on the performance of PT employees. at griya pratama (yomart) garut city 35 area ]]>
<![CDATA[Paroli]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[This research aims to evaluate the influence of discipline on employee performance at PT. Griya Pratama (YOMART) Garut City Region 35. The research method used was quantitative using SPSS version 26 statistical tools. Respondents consisted of 41 employees from 6 Yomart stores branch 35 Garut City who filled out a questionnaire as a data source. The results of the analysis show that there is a significant relationship between the level of work discipline and employee performance, with a correlation coefficient of 0.768, indicating a strong relationship. Work discipline can explain around 58.9% of the variation in employee performance, with the remaining 41.1% influenced by other factors not studied. Hypothesis testing confirms the significant influence of work discipline on employee performance, with a significance value of 0.000 < 0.05. Thus, it can be concluded that the implementation of work discipline has a positive effect on employee performance achievement at PT. Griya Pratama (YOMART) Garut City Region 35. This conclusion provides a basis for company management to consider strategies for improving work discipline culture in order to achieve optimal performance from its human resources. The implication is that work discipline has a key role in achieving organizational goals and increasing the company's competitiveness amidst competitive market dynamics.]]>
<![CDATA[Toxicity and Social Network Analysis of Green Marketing Content for Electric Cars through Digital Media ]]>
<![CDATA[Yerik Afrianto Singgalen]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[This study aims to investigate the effectiveness of green marketing strategies in influencing consumer interest and purchasing behavior towards electric cars, focusing on media coverage, as exemplified by BBC News. Specifically, it seeks to understand how media portrayals of electric cars through green marketing narratives impact consumer perceptions and preferences in the context of sustainability. The research adopts the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. The study culminates in noteworthy findings obtained through Toxicity Analysis and Social Network Analysis (SNA). Toxicity Analysis yielded specific numerical values across categories: Toxicity (0.05645, 0.99613), Severe Toxicity (0.00002, 0.00333), Identity Attack (0.00211, 0.35185), Insult (0.03630, 0.99520), Profanity (0.01584, 0.93590), and Threat (0.00279, 0.43515). These metrics signify varying levels of negative sentiment and potentially harmful language within the examined dataset. Concurrently, SNA provided structural insights with a diameter of 6, low density (0.009484), negligible reciprocity (0.000000), modest centralization (0.038160), and high modularity (0.872000). While the network exhibits centralized influence and limited reciprocity, the high modularity suggests distinct communities or clusters. These findings underscore the importance of considering sentiment dynamics and network structure, emphasizing the need for targeted interventions to mitigate toxicity and cultivate healthier communication environments.]]>
<![CDATA[Social network and sentiment analysis of product reviews (case of smartwatch product content) ]]>
<![CDATA[Yerik Afrianto Singgalen]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[This study addresses the need to understand the dynamics of sentiment and social network analysis (SNA) in the context of smartwatch product reviews. Leveraging the CRoss-Industry Standard Process for Data Mining (CRISP-DM) methodology, the research aims to analyze sentiments and social networks to glean insights into consumer behavior and interaction patterns. The CRISP-DM framework guides the research through structured phases of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Through sentiment analysis using Support Vector Machine (SVM) with Synthetic Minority Over-sampling Technique (SMOTE) and SNA, the study examines accuracy (91.41% +/- 1.66%), precision (100.00% +/- 0.00%), recall (82.80% +/- 3.36%), f-measure (90.56% +/- 2.01%), Area Under the Curve (AUC), as well as network metrics such as diameter (4), density (0.001036), reciprocity (0.000000), centralization (0.004920), and modularity (0.994200). Findings reveal a robust performance of the SVM algorithm coupled with SMOTE, showcasing high accuracy and effective discrimination between sentiments. Additionally, SNA uncovers valuable insights into network structures, communication patterns, and sentiment propagation dynamics within the online community. These findings contribute to a deeper understanding of consumer sentiments and interactions, guiding strategic marketing, product development, and reputation management decisions.]]>
<![CDATA[Selling vegetables through live streaming: sentiment and network analysis ]]>
<![CDATA[Yerik Afrianto Singgalen]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[This study addresses the research problem of understanding digital interactions and dynamics in online environments, mainly focusing on sentiment analysis and Social Network Analysis (SNA). The methodology integrates sentiment analysis techniques to discern prevailing attitudes and emotions within digital content, coupled with SNA to unveil intricate network structures and user relationships. Concurrently, SNA unveils intricate network structures and relationships among users, illuminated by numerical metrics such as Diameter (2), Density (0.003982), Reciprocity (0.000000), Centralization (0.027240), and Modularity (0.978600). Additionally, the performance vector further enhances the evaluation with metrics including accuracy (97.68% +/- 2.44%), AUC (0.429 +/- 0.477), precision (97.68% +/- 2.44%), recall (100.00% +/- 0.00%), and f-measure (98.81% +/- 1.25%). The study utilizes a dataset of digital content and user interactions, applying sentiment analysis to quantify sentiments and SNA to map network connections. Findings reveal nuanced insights into audience perceptions, engagement patterns, and network dynamics within digital ecosystems. Moreover, the study employs numerical metrics to evaluate the performance of sentiment analysis and SNA methodologies. The results underscore the importance of integrating sentiment analysis and SNA in comprehensively understanding online behavior and communication dynamics, offering valuable insights for content creation, engagement optimization, and community management strategies in digital environments.]]>
<![CDATA[Poverty statistics of South Sulawesi Province based on Human Development Index and GRDP using panel data ]]>
<![CDATA[Iwan Harsono]]>;
<![CDATA[Fajri Hatim]]>;
<![CDATA[Efriyani Sumastuti]]>;
<![CDATA[Bahrun Thalib]]>;
<![CDATA[Ridwan Sya’rani]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[This study examines the impact of Human Development Index (HDI) and Gross Regional Domestic Product (GRDP) on poverty in South Sulawesi Province using quantitative methods with multiple regression analysis techniques and panel data from 24 Districts/Cities. Results from SPSS version 26 indicate that HDI insignificantly affects poverty (p = 0.413, t = 0.821, β = 1.523), while GRDP significantly influences poverty (p = 0.000, t = 5.441, β = 0.978). These findings suggest that policymakers should consider GRDP growth to alleviate poverty, rather than relying solely on HDI. This research provides valuable insights for the South Sulawesi government to address poverty based on income levels, as reported by the South Sulawesi Central Bureau of Statistics, and to monitor HDI and GRDP trends annually.]]>
