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INDONESIA
Journal of Social Science and Business Studies
Published by Yayasan Gema Bina Nusantara
ISSN : -     EISSN : 29876079     DOI : -
Core Subject : Economy, Social,
Economics, Econometrics & Finance Social Sciences
Jounal of Social Sciences and Business Studies is a journal that publishes Focus and Scope research articles, which include : Social Science Business Management Accounting Communication Studies Politic Public Administration Art & Design
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 97 Documents
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The Influence of Influencer Credibility, Posting Frequency, and Entertainment Value on Social Media Engagement Behavior of Culinary Products Hendra, Hendra; Hendratni, Tyahya Whisnu; Istiqomah, Yuliani; Putrianti, Flora Grace; Mundzir, Mundzir; Bait, Jennifer Farihatul
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.213

Abstract

This research aims at identifying the role of social media influencers' credibility, the frequency of posts, and the entertainment value of posts in consumer engagement behavior to culinary products on social media channels. Quantitative explanatory research method has been utilized whereby 300 people who are social media active users and frequently involved with culinary content were given a questionnaire. Purposive sampling was applied in this research basing it on the online behavior of the respondents, and the data was analyzed using multiple linear regression. The findings indicated that influencer's credibility, posting frequency, and content's entertainment value, all three independent variables were positively and significantly correlated with engagement behavior in social media. The present study not only contributes to the development of the theory of digital marketing and consumer behavior but also provides practical recommendations to culinary marketers on how to develop and maintain engagement strategies that are credible, consistent, and entertaining.  
The Influence of Trust, Price, and Brand Ambassador on Purchase Decisions on The Shopee Platform Among Tri Bhakti Students Maulida, Sofia; Falqi, Sarah Maulidah
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.237

Abstract

The purpose of this study is to ascertain how trust, price, and brand ambassadors affect Shopee platform purchasing decisions, particularly among Tri Bhakti students. 84 respondents were given questionnaires as part of a quantitative survey technique. Multiple linear regression was used to analyze the data. Because the trust variable's significance value is 0.000 < 0.05 and its t-table value is 1.990 <t-count value of 6.153, the results of the partial test (t-test) study demonstrate that the trust variable significantly influences purchasing decisions. The price variable has a substantial impact on purchase decisions, according to the partial test (t-test), with a significant value of 0.029 < 0.05 and a t-count value of 2.228. With a significance value of 0.452 > 0.05 and a t-table value of 1.990 < t-count value of 0.755, the partial test (t-test) indicates that the brand ambassador variable has no meaningful impact on purchasing decisions. The simultaneous test findings (f test). With a significance level of 0.000 < 0.05, the computed F value of 31.752 is higher than the F table of 2.72, indicating that the three independent factors concurrently have a considerable impact on purchase decisions.  
A Comprehensive Framework for Integrating Machine Learning with Big Data Analytics Systems for Business Purposes Zein, Afrizal; Ekawati, Fordiana
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.246

Abstract

The growth in volume, velocity, and diversity of data has driven the need for analytical systems that are not only capable of handling big data, but also capable of generating intelligent predictions and insights through the integration of machine learning. This study aims to design and analyze a comprehensive framework that integrates machine learning algorithms into big data analytical systems. The research approach is carried out through literature studies and evaluations of various platforms and architectures such as Hadoop, Spark, and TensorFlow, which enable efficient large-scale data processing. The proposed framework includes the stages of ingestion, preprocessing, model training, evaluation, deployment, and feedback loops that support continuous learning. This integration not only improves the predictive capabilities of the system but also enables organizations to respond proactively to real-time data dynamics. The results of this study are expected to be a strategic reference in the development of modern data-driven analytical systems.  
Sentiment Analysis of Product Reviews in E-Commerce Using the Naive Bayes Method Zein, Afrizal; Karimah , Mufidah
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.247

Abstract

In the rapidly growing world of e-commerce, customer reviews play a crucial role in influencing purchasing decisions. However, the massive volume of online reviews makes it difficult for potential buyers and sellers to interpret the overall sentiment toward a product. This research aims to perform sentiment analysis on product reviews in e-commerce platforms using the Naive Bayes classification method. The study focuses on classifying reviews into positive, negative, and neutral categories based on textual data. The dataset used consists of customer reviews collected from popular e-commerce sites. The data preprocessing stages include case folding, tokenization, stop word removal, and stemming to ensure clean and meaningful input for the model. The Naive Bayes algorithm, known for its simplicity and efficiency in text classification, is applied to train and predict sentiment labels. Evaluation is conducted using accuracy, precision, recall, and F1-score metrics to measure model performance. Experimental results show that the Naive Bayes classifier achieves high accuracy in detecting sentiment polarity, making it suitable for large-scale sentiment analysis in e-commerce contexts. The findings demonstrate that sentiment analysis can provide valuable insights for businesses in understanding customer satisfaction, improving products, and enhancing overall marketing strategies.  
Perceived Value and Emotional Attachment on Repurchase Intention through Brand Experience Kusumahadi, Rafaela Abigail; Rodhiah
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.252

Abstract

This study aims to analyze the influence of perceived value and emotional attachment on repurchase intention, with brand experience as a mediating variable among consumers of the “XYZ” brand. The research is grounded in the context of intense competition within the Fast-Moving Consumer Goods (FMCG) industry, specifically focusing on the herbal health product category. A quantitative descriptive method was applied using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach through SmartPLS 4. The sampling technique used was non-probability sampling with purposive sampling, distributing a Google Form questionnaire to 156 respondents who are consumers of “XYZ” brand who lives in Jakarta, have already consumed the product at least twice, and intend to buy them again in the future. The results reveal that perceived value and emotional attachment have a positive and significant effect on brand experience and repurchase intention. Brand experience also has a positive and significant effect on repurchase intention and successfully acts as a mediating variable. This study contributes academically to the understanding of consumer behavior and FMCG marketing. The novelty of this research lies in the simultaneous integration of perceived value and emotional attachment, along with the inclusion of brand experience as a mediating variable. In addition, this study explores the herbal health product category within the FMCG sector, which remains limited in existing literature.
Determinants of Repurchase Intention Mediated by Customer Satisfaction Among “X” Coffee Application Users Tjandra, Sabrina Layman; Rodhiah
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.253

Abstract

This research aims to analyze and ascertain how repurchase intention among users of the "X" Coffee application is influenced by perceived ease of use, perceived usefulness and customer experience and mediated by customer satisfaction. The sample method is purposive sampling. The sample in this research consisted of “X” Coffee customers who have purchased “X” Coffee at least 5 times in the last 2 years using the “X” Coffee application and located DKI Jakarta. A Google Forms survey was used to get 235 respondents in total. With the assistance of SmartPLS 4.0, the data was processed using structural equation modeling (SEM). The outcomes show that perceived ease of use, perceived usefulness, customer experience, and customer satisfaction collectively have a positive and significant impact on repurchase intention. Repurchase intention is significantly and positively affected by perceived ease of use, positively and significantly impacted by perceived usefulness, positively and significantly impacted by customer satisfaction, and not significantly impacted by customer experience through customer satisfaction.
Artificial Intelligence Adoption and Business Performance: The Mediating Role of Sustainable Competitive Advantage in the Food and Beverage Industry Rodhiah; Aspiranti , Tasya; Amaliah, Ima; Nurhayati, Nunung
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.254

Abstract

This research aims to analyze the impact of adapting Artificial Intelligence (AI) on business performance with mediating sustainable competitive advantage (SCA)in the Food and Beverage (F&B) industry located in West Jakarta. The population was all F&B companies in West Jakarta. The sample includes 120 respondents selected with purposive sampling, with criteria including respondents who understand and have adopted AI in their business operations for a minimum of three years. The data used Likert-scale questionnaires adapted from previously validated and reliable instruments. Data analysis using SEM by SmartPLS software. The results indicate that adapting AI has a positive but insignificant effect on the business performance of F&B companies in West Jakarta. Additionally, the study found that adapting AI has a positive and significant impact on sustainable competitive advantage, which in turn has a positive and significant effect on business performance. Mediation analysis revealed that sustainable competitive advantage mediates the relationship between adapting AI and business performance. This suggests that adapting AI does not directly affect business performance but rather indirectly through sustainable competitive advantage. Sustainable competitive advantage directly influences business performance. The conclusion of this research is that adapting AI is a crucial strategy for improving business performance through sustainable competitive advantage in the F&B industry in West Jakarta. Companies that invest in AI technology and integrate it into their business strategies have the potential to achieve superior performance by maintaining their sustainable competitive advantage in the long term.  
The Influence of Tax Awareness, Tax Sanctions, and Risk Preference on Taxpayer Compliance Irwansyah, Irwansyah
Journal of Social Science and Business Studies Vol. 4 No. 1 (2026): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v4i1.275

Abstract

This study examines the influence of tax awareness, tax sanctions, and risk preference on motor vehicle taxpayer compliance in Bengkulu Province, Indonesia. Although previous studies have identified these variables as important determinants of tax compliance, their findings remain inconsistent, particularly in regional contexts where taxpayer behavior is shaped by local enforcement, tax literacy, and social conditions. This study addresses that gap by integrating the three variables within the Theory of Planned Behavior framework and testing them in the Bengkulu context. A quantitative survey was conducted using purposive sampling with 100 motor vehicle taxpayers registered at SAMSAT offices in Bengkulu Province. Data were analyzed using multiple linear regression. The results show that tax awareness, tax sanctions, and risk preference all have positive and significant effects on taxpayer compliance. The findings suggest that improving taxpayer compliance requires not only stronger enforcement, but also increased awareness and behavioral interventions that reduce non-compliance tendencies. This study contributes by providing context-specific evidence from Bengkulu Province and by extending the understanding of tax compliance through a behavioral perspective.  
The Influence of Product Quality and Price on Purchasing Decisions at Tanjung Fashion Stores in West Jakarta Jannah, Ramadhaniatun; Munarsih, Munarsih
Journal of Social Science and Business Studies Vol. 4 No. 1 (2026): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v4i1.278

Abstract

This study aims to analyze the effect of product quality and price on purchasing decisions at Tanjung Fashion Store in West Jakarta. The increasing competition in the retail fashion industry requires business to understand consumer preferences, particularly regarding product quality and pricing strategies. This research uses a quantitative associative approach with a sample of 99 consumers selected using simple random sampling. Data were collected through questionnaires and analyzed using multiple linear regression. The results show that product quality and price have a positive and significant effect on purchasing decisions. Product quality contributes 79% to purchasing decisions, while price contributes 75,6%. Simultaneously, product quality and price have a significant influence with a contribution of 85,4%. These findings indicate that consumers tend to consider both quality and price when making purchasing decisions. This study contributes to the development of marketing management, especially in understanding consumer purchasing behavior. Practically, the results provide recommendations for business owners to improve product quality and adjust pricing strategies to enhance consumer purchasing decisions.  
The Influence of Ease of Navigation, Mobile Shopping Experience, and Social Commerce Engagement on Omnichannel Customer Experience of Local Brand Products in E-Commerce Sidjabat, Sonya; Mustafa, Fahrina; Suhara, Ade; Susilowati, Tri; Violin, Vivid; Primananda, Pande Gde Bagus Naya
Journal of Social Science and Business Studies Vol. 4 No. 1 (2026): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v4i1.283

Abstract

Local brands establish unified customer experiences through their omnichannel system implementation because e-commerce competition has increased in intensity. The research investigates how three variables which each contain three elements affect omnichannel customer experience for local brand products in e-commerce through their three elements which include ease of navigation and mobile shopping experience and social commerce engagement. The researchers implemented their study through a quantitative research method which employed explanatory research design. The researchers used purposeful sampling methods to collect data from 200 participants who had purchased local brand products through multiple digital channels. The researchers applied multiple linear regression analysis to their data after they conducted validity and reliability testing along with classical assumption testing. The study results demonstrate that three factors which include website navigation skills and mobile shopping experience and social commerce platform usage enable users to access various shopping channels. The complete customer experience development process requires businesses to comprehend how platform experience integrates with mobile user experience and social media interaction. The research contributes to digital marketing and omnichannel studies by providing new theoretical insights. The study results provide local brands with digital strategy development guidelines which focus on enhancing customer experience.  

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