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[Social network and sentiment analysis of product reviews (case of smartwatch product content) ]]>
<![CDATA[Singgalen, Yerik Afrianto]]>
<![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[Singgalen, Yerik Afrianto]]>
<![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.]]>
<![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) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![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) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![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) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![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 digital culture, coordination and job satisfaction on employee performance with organizational commitment as a mediation variable ]]>
<![CDATA[Pakpahan, Onny]]>;
<![CDATA[Liswandi, Liswandi]]>;
<![CDATA[Sudarmo, Agnes Puspitasari]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 14 No. 1 (2024): May: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35335/ijosea.v14i1.438
<![CDATA[Government organizations must always improve their performance according to the needs of a developing society. The survey results showed that the public did not get satisfaction so they got the highest "B" score for public services and service units. The basis for implementing Community Satisfaction Monitoring is the Minister of State Apparatus Empowerment and Bureaucratic Reform Regulation Number 14 of 2017 concerning Guidelines for Preparing Community Satisfaction Monitoring in Public Service Units. This research aims to test and analyze the influence of digital culture, coordination, job satisfaction on the performance of financial manager employees of KPPN Balige work partners through the mediating variable, namely organizational commitment, using data processing techniques for a sample of 92 employees. Data collection was carried out by distributing questionnaires that used a 5-point Likert Scale to measure the statements of the five variables studied. The analysis technique used is multiple linear regression analysis. The research results show that partially coordination, job satisfaction, organizational commitment and employee performance do not have a significant effect on the performance of financial manager employees. Only the digital culture variable influences the performance of financial management employees of KPPN Balige partners who oversee 4 (four) districts. So it can be concluded that in general digital culture, coordination and job satisfaction have no or very little influence on organizational commitment because most employees do not want to work in the current agency or organization.]]>
<![CDATA[Competitive strategy to increase rural saving in micro segment of PT Bank Rakyat Indonesia Tbk branch office Medan Iskandar Muda ]]>
<![CDATA[Ferdiantes, Ferdiantes]]>;
<![CDATA[Nazaruddin, Nazaruddin]]>;
<![CDATA[Sembiring, Meilita Tryana]]>;
<![CDATA[Sriwardany, Sriwardany]]>;
<![CDATA[Fadhilah, Dita Deviana]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 14 No. 1 (2024): May: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35335/ijosea.v14i1.441
<![CDATA[The growth of credit disbursements is expected to coincide with the growth of rural saving. However, credit growth is currently higher. This study aims to analyze the competitive strategy of PT Bank Rakyat Indonesia Tbk Branch Office Medan Iskandar Muda in improving rural saving. The location of this research was determined purposively, that the location chosen was a branch which was the largest bigbond in the Medan region. This research is qualitative research using descriptive methods to conduct data analysis. Analysis of competitive strategies in this study was carried out using the concept of Porter's Five Forces. The results of the analysis found that the competitive advantage lies in the network owned by PT Bank Rakyat Indonesia Tbk Branch Office Medan Iskandar Muda as well as the existence of individual customers and Micro, Small and Medium Enterprises. Our interviews with micro debtors found that most of the funds were used for business and consumption expenditures in wholesalers, traditional markets, supermarkets and large agents, while a small part was for savings and repayments. So that with its competitive advantage, the mastery of acceptance in wholesalers, markets, supermarkets and large agents will increase rural saving.]]>
<![CDATA[Digital marketing of smartphone manufacturing product: toxicity, social network, and sentiment classification ]]>
<![CDATA[Singgalen, Yerik Afrianto]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 14 No. 1 (2024): May: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35335/ijosea.v14i1.442
<![CDATA[This research explores digital interactions, analyzing toxicity, sentiment, and network dynamics using the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. Understanding and managing these elements are crucial for effective digital strategies with the rise of user-generated content. Leveraging machine learning, including Support Vector Machines (SVM) and Synthetic Minority Over-sampling Technique (SMOTE), toxicity analysis and sentiment classification are conducted. Data preprocessing involves text cleaning and feature engineering, aligning with the CRISP-DM data preparation phase. Toxicity levels are measured using various toxicity metrics, including Toxicity, Severe Toxicity, Identity Attack, Insult, Profanity, and Threat. Sentiment analysis employs SVM to classify sentiment polarity, while SMOTE addresses class imbalance as part of the CRISP-DM modeling phase. Social Network Analysis (SNA) techniques are also applied to study network structures following the CRISP-DM modeling phase. Network data are processed to compute key SNA metrics such as Diameter, Density, Reciprocity, Centralization, and Modularity. Findings reveal a toxicity level of 0.06194 and severe toxicity at 0.00730. Identity Attack stands at 0.01107, while insults and profanity are at 0.03803 and 0.04905, respectively. The threat is observed at 0.01359. The sentiment analysis indicates an accuracy of 97.94%, with a precision and recall of 98.07% and 99.86%, respectively, for the positive class. The f-measure for the positive class is 98.96%. The SNA metrics show a diameter of 4, a density of 0.000266, and a reciprocity of 0.000000. Centralization is calculated at 0.001468, while modularity stands at 0.999400.]]>
<![CDATA[Literacy analysis of digital financial inclusion of zakat, Infaq, Alms and Religious Social Affairs (Ziska) at Lazismu Sangkapura Branch, Gresik Regency ]]>
<![CDATA[Saputra, Sawaluddin Eka]]>;
<![CDATA[Setiadi, Iwan]]>;
<![CDATA[Rahmat, Rahmat]]>;
<![CDATA[Aiyub Anshori]]>
<![CDATA[ International Journal on Social Science, Economics and Art Vol. 14 No. 1 (2024): May: Social Science, Economics ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Many studies in the banking sector have explained the significant increase in digital technology-based financial inclusion because it is able to exceed targets, increase people's financial understanding and provide easy access to financial products and services. However, little research was found in the unbanked sector that could be a consideration for increasing financial inclusion in digital technology. This article aims to analyze the use of digital media, human resource capabilities in using digital media, and digital fund fundraising strategies towards digital financial inclusion literacy of zakat, infaq, alms and social religion (ziska) in Lazismu Sangkapura, Gresik Regency. This research uses a descriptive-phenomenological approach with qualitative methods. The sampling technique uses purposive sampling. Data collection procedures include literature study, observation, interviews and documentation. The analytical tool uses SWOT analysis to test the validity of the data against the research objectives. This research found that Lazismu Sangkapura has used the digital space for Ziska financial inclusion literacy less than optimally. Several practical analyzes identified that digital platforms are limited to m-banking transfers, individual resources are less skilled or trained in operating digital media, fundraising strategies implemented through digital programs have a positive trend of growing ziska fund acquisition and equitable distribution. Various inhibiting factors must be addressed comprehensively, such as institutional management, media, resources and strategies for realizing Ziska digital financial inclusion literacy.]]>
