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.
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<![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) ]]>
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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) ]]>
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<![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) ]]>
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<![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) ]]>
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<![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) ]]>
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<![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) ]]>
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<![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.]]>
<![CDATA[Business sustainability challenges in the face of technology and digital literacy: a study of Micro, Small, and Medium Enterprises ]]>
<![CDATA[Indra Permana]]>;
<![CDATA[Bagus Hari Sugiharto]]>;
<![CDATA[Soni Suardi]]>;
<![CDATA[Eri Mardiani]]>;
<![CDATA[Iwan Riswandi]]>
<![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) ]]>
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<![CDATA[The study investigates Micro, Small, and Medium Enterprises (MSMEs) within the Tanjung Lesung tourism sector in Banten Province. It focuses on the application of digital literacy for business sustainability in the contemporary technological landscape. The research employed a qualitative descriptive research method involving observation and in-depth interviews. Data was collected through observation and in-depth interviews. Analysis involved data reduction, display, and conclusions drafting. The findings underscore the pivotal role of digital technology in fostering business continuity. The study emphasizes MSMEs' pursuit of sustainability through tailored strategies, including the attainment of sustainability certifications to bolster market presence, particularly in eco-conscious segments.]]>
<![CDATA[Juridical Analysis of Artificial Intelligence-Based Patient Personal Data Protection ]]>
<![CDATA[Vera Dumonda Silitonga]]>;
<![CDATA[Sidhi Laksono]]>
<![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) ]]>
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<![CDATA[Confidentiality of patient personal data is also a patient's right which is regulated in Law number 29 of 2004 and Law number 44 of 2009. Along with the development of technology, some loopholes can be exploited by cybercrime perpetrators. in general, they use malware programs to hack the target's computer system. The Information and Electronic Transactions Law (UU ITE) articles 30 and 31 regulate illegal access to systems belonging to other people or the public. Articles 32 and 34 also regulate illegal access and transactions with electronic documents owned by other people or the public. Violators can be charged using article 48 of the ITE Law. To date, no law specifically regulates the crime of hacking using malware on artificial intelligence technology used in hospitals. This research method is normative juridical with descriptive research methods. The specific legal basis (lex specialis) that regulates the protection of patient personal data concerning the illegal buying and selling of patient data (information business and electronic technology) that uses AI does not yet exist in the law, the closest thing is Article 67 of the Personal Data Protection Law in a general context. In this case, it can result in a legal vacuum, legal uncertainty or uncertainty about statutory regulations, or legal chaos.]]>
<![CDATA[SMEs Performance: Fostering Innovativeness, Market Orientation, and Learning Orientation ]]>
<![CDATA[Gromyko Bongso]]>;
<![CDATA[Vera Dumonda Silitonga]]>;
<![CDATA[Cliverrel Heryanto]]>
<![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) ]]>
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<![CDATA[SMEs in Indonesia continue to grow year after year, yet their death rate remains high owing to poor business performance. This research survey was distributed online to a total of 195 respondents, of which 152 matched the research criteria. The respondent data was processed using the SmartPLS application. The findings of this study indicate that there is a favorable association between market orientation, learning orientation, and innovativeness, and business performance. The findings indicate that SME owners must prioritize market orientation and learning orientation to foster innovation, which can improve SME firm performance. SME owners must understand their market orientation, including consumers and competitors.]]>
<![CDATA[The influence of customer experience on repurchase intention at tekun.id beverage outlets ]]>
<![CDATA[Yusuf Tojiri]]>;
<![CDATA[Sugiat, Jajang]]>
<![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) ]]>
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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.]]>
