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The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences)
Published by Politeknik LP3I Jakarta
ISSN : -     EISSN : 3164077X     DOI : https://doi.org/10.34127/icbests
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The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences) (E-ISSN 3164-077X) is an international scientific forum that aims to bring together academics, researchers, practitioners, and policymakers from various disciplines to share knowledge, research findings, and the latest innovations. This conference serves as a strategic platform for fostering multidisciplinary collaboration to address global challenges in business, economics, technology, and the social sciences. The IC-BESTS Conference covers a wide range of research topics, including but not limited to management, marketing, finance, macro and microeconomics, digital transformation, information technology, entrepreneurship, innovation, and social dynamics in modern society. With its interdisciplinary approach, IC-BESTS is committed to producing relevant, applicable, and broadly impactful scientific contributions to the development of science and professional practice. All articles presented at this conference undergo a rigorous selection and peer-review process to ensure scientific quality and originality. Selected articles will be published in nationally and internationally indexed conference proceedings and have the opportunity to be published in reputable journals. The IC-BESTS conference is expected to foster constructive discussion and a sustainable global collaborative network. The conference also plays a role in encouraging the dissemination of innovative research findings to support sustainable development and digital transformation across various sectors.
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Articles 126 Documents
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THE EFFECT OF MARKETING STRATEGIES ON INCREASING CREDIT SALES VOLUME AT KOPERASI CAHAYA ARTHA MAKMUR MANDIRI IN PURI NIRWANA CIKARANG
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.159

Abstract

Cooperatives, as a pillar of community economic development, often face challenges in sustaining credit sales volume due to suboptimal marketing strategy implementation, as observed at Koperasi Cahaya Artha Makmur Mandiri in Puri Nirwana Cikarang, which experienced profit fluctuations during 2023–2025. This study aims to examine the influence of marketing strategy on credit sales volume, drawing on the marketing mix theory by Kotler and Keller and the digital marketing concept by Chaffey and Ellis-Chadwick. A quantitative associative approach was applied using saturated sampling involving 56 cooperative members as respondents. Data were collected through a 30-item Likert-scale questionnaire (1–5) and analyzed using simple linear regression with SPSS version 27. The results indicated that all instruments were valid and reliable and satisfied the classical assumption tests. The regression analysis produced the equation Y = 3.330 + 0.935X, with a t-value of 14.557 (significance 0.000< 0.05) and an Adjusted R² of 0.793. These findings confirm that marketing strategy has a positive and significant effect on credit sales volume, accounting for 79.3% of its variation. It is concluded that strengthening marketing strategy, particularly in marketing communication and promotion, holds substantial potential to sustainably drive the growth of cooperative credit sales volume.
THE INFLUENCE OF E-SERVICE QUALITY AND DIGITAL CUSTOMER SATISFACTION ON USER GROWTH
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.160

Abstract

The integration of Financial Technology (Fintech) within non-bank financial industries challenges traditional collateral-based lending institutions to optimize their digital consumer touchpoints. This study investigates the empirical impact of E-Service Quality (X1) and Digital Customer Satisfaction (X2) on User Growth (Y) at PT Indogadai Prima, Tangerang Branch, an enterprise that suffered a severe decline in monthly active users throughout the second semester of 2025. A quantitative descriptive approach was adopted for this research. By utilizing the Slovin formula, a sample size of 56 digital consumers was selected via simple random sampling from a known population of 65 active users . Primary data were gathered through web-based structured questionnaires using a 5-point Likert scale . Data analysis was conducted via multiple linear regression analysis using IBM SPSS . The analytical results reveal that E-Service Quality and Digital Customer Satisfaction function as critical drivers that significantly mitigate user churn and trigger positive user acquisition rates . Micro-finance institutions must scale up their digital infrastructure by implementing automated valuation algorithms and open API omnichannel payment gateways to sustain market relevance within competitive digital business networks.
THE EFFECT OF WORK INSTRUCTION AND PRODUCTION QUALITY ON PRODUCTION PERFORMANCE AT PT KAWAI INDONESIA (PLANT 3), INDOTEISEI AREA, CIKAMPEK DISTRICT, KARAWANG REGENCY
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.161

Abstract

The objective of this research is to examine the effect of work instruction and production quality on production performance at PT Kawai Indonesia (Plant 3). The research was conducted in the Production Department, focusing on the Assembly Line Production and Quality Control divisions. A quantitative research method was employed and data were collected through questionnaires distributed to a sample of 53 respondents. The data analysis using descriptive statistics, instrument tests, classical assumption tests, multiple linear regression, hypothesis testing (T-test and F-test) and the coefficient of determination. The results show that work instruction, production quality and production performance are generally categorized as high. The T count (1.290) < T table (2.009), significance value (0.203 > 0.05), the work instruction does not have a significant effect on production performance and T count (3.102) > T table (2.009), significance value (0.003 < 0.05), the production quality has a significant effect on production performance. The F count (23.851) > F table (3.18), significance value (0.000 < 0.05), the work instruction and production quality have a simultaneous effect on production performance and the Adjusted R2 of 0.468 indicates that 46.8% of production performance explained by the independent variables, while 53.2% is influenced by other factors.
THE UNITED STATES–ISRAEL–IRAN CONFLICT AND GLOBAL BUSINESS: AN INTEGRATED ANALYSIS OF GEOPOLITICAL RISK, ENERGY SECURITY, AND SUPPLY CHAIN RESILIENCE
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.162

Abstract

Geopolitical conflicts have become increasingly significant determinants of global business performance by generating uncertainty across energy markets, international trade, financial systems, and global supply chains. The recent escalation involving the United States, Israel, and Iran has intensified concerns regarding global economic stability due to its strategic implications for energy security and international commercial activities. Despite extensive research on the macroeconomic and financial consequences of geopolitical conflicts, limited attention has been devoted to understanding their integrated implications for multinational enterprises and global business operations. Therefore, this study aims to analyze the influence of the United States–Israel–Iran conflict on global business by integrating perspectives from geopolitical risk, energy security, and supply chain resilience. This study employs a descriptive qualitative research design using a systematic literature review approach. Secondary data were collected from peer-reviewed journal articles, academic publications, and reports from international organizations, which were analyzed through thematic content analysis. The findings indicate that the conflict influences global business through four interconnected transmission channels: geopolitical uncertainty, energy security disruption, global supply chain instability, and financial market volatility. These mechanisms increase production and transportation costs, weaken investor confidence, disrupt international trade, and encourage multinational corporations to adopt resilience-oriented strategies, including supplier diversification, regionalized production, and enhanced geopolitical risk management. This study contributes to the international business literature by developing an integrated analytical framework that explains how geopolitical conflict simultaneously affects business strategy, international investment, and supply chain resilience. The findings provide practical insights for policymakers and business leaders in strengthening organizational resilience and managing geopolitical risks within an increasingly uncertain global business environment.
AI COMPANION ADOPTION TO ADDRESS DIGITAL ANXIETY: A QUANTITATIVE STUDY OF GENERATION Z Hary Firmansyah; Depy Muhamad Pauzy; Gian Riksa Wibawa; Dudu Risana
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.163

Abstract

This quantitative study aims to examine the effect of AI companion adoption on digital anxiety among Generation Z. The study used a survey-based approach with 100 respondents, measuring AI companion adoption through indicators of emotional attachment, perceived ease of interaction, conversational naturalness, frequency of daily AI conversational use, and interface comfort, while digital anxiety was assessed through concerns about data privacy, over-reliance, discomfort with more private interactions, and distrust of AI reliability. The findings in this study indicate that AI companion adoption has a significant positive effect on digital anxiety. This suggests that greater reliance on AI as a social surrogate increases users' concerns about privacy violations, loss of human connection, and intense reliance on artificial intelligence. However, the regression model only demonstrated moderate explanatory power, suggesting that other factors also contribute to digital anxiety. These results imply that although Generation Z finds emotional comfort and conversational ease with AI, AI development companies should prioritize transparent data policies, ethical AI design, and digital literacy programs to mitigate anxiety. This study contributes to the growing discourse on human-AI interactions by highlighting the dual nature of AI companions that offer emotional support while simultaneously triggering psychological discomfort related to safety and social surrogacy.
THE EFFECT OF INFLUENCER CREDIBILITY, LIVE STREAMING INTERACTIVITY, AND TRUST ON GENERATION Z'S IMPULSE BUYING BEHAVIOR FOR FASHION PRODUCTS ON TIKTOK SHOP Raffy Majid Santoso; Miftahul Jannah; Hildiana Ariftianti
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.164

Abstract

This study aims to analyze the influence of influencer credibility, live streaming interactivity, and consumer trust on impulse buying decisions for fashion products on the TikTok Shop platform. The research adopts a quantitative approach with an explanatory research design. Data were collected through an online questionnaire distributed to 50 Generation Z respondents who have purchased fashion products via TikTok Shop’s live streaming feature, using a purposive sampling technique. Data analysis was conducted using Multiple Linear Regression with the assistance of IBM SPSS Statistics software. This study is expected to demonstrate that influencer credibility, live streaming interactivity, and consumer trust, both partially and simultaneously, have a positive and significant effect on impulse buying decisions. Practically, the findings are expected to provide strategic implications for live commerce practitioners in optimizing their sales strategies, where building credibility, delivering engaging real-time interactions, and maintaining consumer trust are key drivers of impulsive purchasing behavior among Generation Z.
EXPLAINABLE AI-BASED DECISION SUPPORT SYSTEM FOR MANGROVE RESTORATION SITE SELECTION IN CIREBON REGENCY Yusa Inderapermana; Ayubella Anggraini Leksono; Yuliana Susilowati
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.165

Abstract

Mangrove restoration is a global priority for enhancing coastal resilience, conserving biodiversity, and increasing blue carbon sequestration. However, identifying suitable restoration sites remains challenging due to the complex interactions among environmental, ecological, and anthropogenic factors. This study proposes an Explainable Artificial Intelligence (XAI)-based framework that integrates remote sensing and geospatial data to support transparent and evidence-based mangrove restoration planning. Multi-source spatial datasets, including Sentinel-2 imagery, digital elevation models, land use and land cover, tidal inundation, hydrological connectivity, soil characteristics, coastline dynamics, proximity to rivers and settlements, and historical mangrove distribution, were analyzed using Random Forest and Extreme Gradient Boosting (XGBoost) models. Model predictions were interpreted using SHapley Additive exPlanations (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) to identify the relative contribution of each predictor. Simulation results for 15 candidate restoration zones in Kapetakan, Pangenan, Mundu, and Losari districts allocated a budget of IDR 902.13 million for restoring 46.86 ha. Three zones were recommended as optimal restoration sites with high success probabilities (0.629–0.954), six zones were excluded due to budget limitations, and six were rejected because of ecological constraints or predicted success probabilities below 0.40. The proposed framework enhances model transparency, strengthens stakeholder confidence, and supports informed coastal planning by providing interpretable, data-driven recommendations for sustainable mangrove restoration and climate adaptation
EXAMINING PATHWAYS TO CUSTOMER LOYALTY IN BEAUTY CLINICS: A STRUCTURAL EQUATION MODELING APPROACH WITH SATISFACTION AS A MEDIATOR AND INTIMACY AS A MODERATOR Kamiluddin; Vanessa Gaffar; Ratih Hurriyati; Hilda Monoarfa
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.167

Abstract

Customer loyalty is a critical determinant of long-term competitiveness in beauty clinics and aesthetic healthcare services. Despite a growing body of research, the structural pathways through which service quality and customer experience influence customer loyalty remain theoretically fragmented. The psychological mechanisms that link these antecedents to loyal behavior, particularly the mediating role of customer satisfaction and the moderating role of service intimacy, have not been simultaneously examined in an integrated framework specific to beauty clinic settings. This systematic literature review addresses that gap by synthesizing 19 peer-reviewed studies selected through the PRISMA 2020 framework from Scopus-indexed publications between 2020 and 2026. Thematic synthesis revealed three principal findings. First, customer satisfaction consistently and strongly mediates the effects of both service quality and customer experience on customer loyalty. Second, customer experience is a multidimensional construct encompassing cognitive, emotional, sensory, relational, and digital dimensions of the patient journey. Third, service intimacy amplifies the satisfaction-to-loyalty conversion by deepening trust, emotional attachment, and personalized care between patients and practitioners. The novelty of this review lies in its proposal of an integrated moderated mediation framework that positions service intimacy as a relational boundary condition within a unified loyalty model for aesthetic healthcare, a configuration that has not previously appeared in the literature.
SMART VILLAGE DATA GOVERNANCE: SUBSIDIARITY PRINCIPLES VS DIGITAL CORPORATE EXPLOITATION Ismaniah; Amalia Syauket; Tyastuti Sri Lestari
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.168

Abstract

This study examines the administrative-legal challenges faced by digitalized village governments under Indonesia’s Personal Data Protection (PDP) Law. Utilizing a qualitative socio-legal approach with desk-based and digital ethnography methods, this research uses Panggungharjo Village—a national pinnacle model for Smart Villages—as its locus. The findings reveal a critical legal gap: while the central government mandates rigid, centralized data controller responsibilities on village administrations, rural areas face severe technological and financial constraints. Consequently, unchecked digital partnerships between Village-Owned Enterprises (BUMDes) and global tech corporations risk exposing citizens’ private data to surveillance capitalism. To bridge this gap, this paper argues that the constitutional principles of recognition and subsidiarity grant villages the sovereign authority to implement independent local governing strategies. This study formulates a novel administrative framework consisting of drafting data-governance village regulations, establishing community-based Data Protection Officers, and standardizing data-sharing agreements in BUMDes business contracts. By employing these localized legal instruments, digitalized villages can transform their inherent autonomy into a powerful shield to safeguard citizens' data without compromising rural independence in the global digital era.
THE INFLUENCE OF CUSTOMER EXPERIENCE IN MOBILE CART SERVICES AND MOBILE APPLICATION INTEGRATION ON CUSTOMER LOYALTY AT KOPI JAGO Fabio Ar’riva Rachman; Kevin Arliantoro; Yehezkiel Bryan Pratama Firdiyanto
IC-BESTS: International Conference on Business, Economics, Technology, and Social Sciences 2026: The IC-BESTS (International Conference on Business, Economics, Technology, and Social Sciences
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/icbests.v1i1.169

Abstract

This study aims to analyze the effect of customer experience on mobile cart services and application integration on customer loyalty of Kopi Jago in Jakarta. Using a quantitative causal approach, data were gathered via digital questionnaires distributed to consumers. Out of 120 respondents collected, a purposive screening identified 53 clean respondents who actively use both the mobile cart and the application. Data analysis was conducted using Variance-Based Structural Equation Modeling (PLS-SEM) via SmartPLS. The descriptive results show high satisfaction for the physical mobile cart experience, while application utilization is highly rated but faces an adoption gap among manual buyers. Furthermore, price sensitivity remains a critical constraint on long-term loyalty, as scores drastically dropped regarding potential price increases. This study provides managerially critical insights into balancing physical retail mobility with digital application ecosystem optimization within an omnichannel strategy in the modern coffee cart industry.

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