Abstract:The advancement of digital communication has generated a range of ethical challenges, including cyberbullying, insults, negative labeling, the dissemination of unverified information, privacy violations, digital ghibah (backbiting),…
backbiting), polarization, and discrimination. These challenges call for an ethical framework that is not merely technical in nature but is also firmly grounded in Islamic values. This study aims to reconstruct a Qur’an-based digital communication ethics framework through a thematic analysis of Qur’anic interpretation of QS. Al-Hujurat verses 11–13 and to examine its relevance to strengthening character education. This qualitative study employs a library research approach using thematic Qur’anic interpretation, content analysis, and contextual analysis of the Qur’an, classical and contemporary exegetical works, as well as scholarly literature on digital communication and character education. The findings reveal that QS. Al-Hujurat verses 11–13 embody eight ethical principles that can be reconstructed within the context of digital communication: Dignity Protection, Respectful Communication, No Negative Labeling, Critical Verification, Privacy Protection, Responsible Speech, Inclusive Interaction, and Digital Equality. These eight principles are synthesized into the Qur’anic Digital Communication Ethics Framework (QDCEF), which comprises three overarching dimensions: Dignity, Responsibility, and Inclusion. The framework is further mapped onto the character values of respect, empathy, civility, tolerance, critical thinking, objectivity, trustworthiness, responsibility, integrity, justice, and self-control. These findings affirm that QS. Al-Hujurat verses 11–13 are relevant not only as a source of moral and character education but also as a conceptual foundation for reconstructing a digital communication ethics framework that bridges Qur’anic values with the demands of character education in the digital era. The proposed QDCEF thus offers a value-based conceptual framework for fostering ethical, responsible, inclusive, and character-oriented digital communication.
Abstract:The flood disaster that occurred in Ketambe District, Southeast Aceh Regency, at the end of 2025 caused significant impacts on local communities, including damage to housing, disruption of economic activities, and increased…
sed demand for basic necessities. These conditions required a rapid, targeted, and well-coordinated humanitarian response. This community service program aimed to provide clothing and food assistance to flood victims while developing a cross-border university collaboration model for disaster response. The program was implemented through a partnership involving Universitas Gunung Leuser (UGL), Universiti Poly-Tech Malaysia (UPTM), and Insan Cakna. The implementation stages included needs assessment, institutional coordination, aid procurement, aid distribution, and program evaluation. UGL was responsible for needs assessment, local coordination, and aid distribution, while UPTM served as the primary donor providing financial assistance, clothing, and food supplies. Insan Cakna acted as the liaison and coordination facilitator between both institutions. The results demonstrated that the collaboration model improved the effectiveness and accuracy of aid distribution while strengthening institutional synergy in disaster response efforts. Beyond providing direct benefits to affected communities, the program generated a cross-border university collaboration model that can be replicated in future humanitarian and disaster management initiatives. The findings highlight that the success of humanitarian programs depends not only on the availability of aid but also on effective coordination, clear division of responsibilities, and sustainable institutional partnerships.
Abstract:This study aims to examine the influence of User-Generated Content (UGC) on the TikTok platform on Brand Trust and the Decision to Choose a Higher Education Institution, with Brand Authenticity serving as the mediating variable.…
ariable. This study employs an explanatory quantitative approach. Data were collected via an online survey of a purposive sample comprising prospective students or first-year students (aged 17–21) who actively use TikTok and interact with university-related content. Data analysis was conducted on a minimum of 250 respondents using Partial Least Squares (PLS)-based Structural Equation Modelling (SEM) with the aid of SmartPLS software. The results of the outer model testing showed that all indicators used in the questionnaire were valid and reliable. Hypothesis testing confirmed that User-Generated Content has a direct, positive and significant effect on Brand Authenticity, Brand Trust and Choice Decision. Furthermore, Brand Authenticity also has a positive and significant effect on Brand Trust and Choice Decision. Mediation analysis revealed that Brand Authenticity acts as a partial mediator, bridging the influence of UGC on Brand Trust and Choice Decisions. This study confirms that user-generated organic content on TikTok is a crucial instrument in building trust and influencing the academic decisions of Generation Z. Higher education brands that are authentically represented through UGC will find it easier to win the trust and preference of prospective students.
Abstract:The rapid proliferation of AI-powered marketing technologies in emerging markets poses a fundamental challenge to culturally-grounded micro, small, and medium enterprises (MSMEs): how can algorithmic imperatives be reconciled…
ciled with indigenous value systems that define not only business practice but collective identity? Despite growing research on both AI adoption in SMEs and indigenous knowledge preservation, scholarship rarely examines how traditional values actively mediate rather than merely moderate commercial technology adoption. This study addresses that gap by investigating how MSMEs in Makassar City, Indonesia, negotiate AI marketing integration while preserving siri’ na pacce, the Bugis-Makassar philosophical framework centred on dignity (siri’) and solidarity (pacce). Employing interpretive phenomenology integrated with Community-Based Participatory Research (CBPR), the study conducted 23 in-depth interviews and three focus group discussions with 44 MSME owners and key personnel across traditional culinary, artisan craft, ethnic fashion, and digital service sectors. Template analysis generated four overarching themes: (1) value-based technology discernment, wherein siri’ na pacce operates as an active epistemological filter for evaluating AI tools; (2) strategic selective adoption, wherein enterprises accept algorithmically aligned functions while rejecting culturally incompatible features; (3) cultural indigenization of technology, wherein AI systems are actively reoriented toward communal rather than individualistic ends; and (4) constrained agency under platform power, wherein algorithmic visibility systems penalise cultural non-conformity with market exclusion. These findings challenge technological determinism and advance decolonial computing theory by demonstrating that indigenous values simultaneously enable epistemological agency and are constrained by structural power asymmetries, a duality insufficiently theorised in prior technology adoption frameworks. The study calls for regulatory frameworks establishing indigenous data sovereignty, participatory AI co-design with local communities, and cooperative digital infrastructure as conditions for authentic, rather than performative, cultural integration.
Abstract:This study develops a practical framework for evaluating AI-generated brand visuals in a marketing communication context. Using a qualitative case study of an Indonesian sustainable startup (I-NewBee), the research employs…
ys photo-elicitation interviews to compare consumer evaluations of brand assets generated by three text-to-image tools (Midjourney, Neural Love AI, and Leonardo AI). Twelve target-market participants assessed anonymized visual sets (A/B/C) produced under a standardized prompt structure, using a semi-structured protocol informed by attention-stage cues from the AISAS model. Expert input from a visual communication design practitioner was used to triangulate judgments on visual quality and brand fit. Data were analyzed through iterative coding and thematic synthesis to identify recurring evaluation dimensions and decision cues. The findings suggest that perceived brand fit is shaped by visual realism, compositional clarity, brand-consistent signals, and message interpretability, while prompt ambiguity and inconsistent visual cues reduce credibility. The paper contributes an actionable evaluation framework expressed as evaluation dimensions and prompt-design considerations for startups seeking to deploy generative AI responsibly in brand communication
Abstract:This study aims to analyze the application of green accounting in hazardous waste management and its role in mitigating ecological risks in the biopharma industry, with a case study at PT Daewoong Infion. The background…
of the study is driven by the increasing risk of environmental and health pollution due to hazardous waste generated by the biopharmaceutical production process, as well as the limitations of conventional accounting systems in capturing ecological costs and impacts. This study uses a qualitative approach with a case study design, through primary data collection in the form of in-depth interviews with key informants and field observations, as well as secondary data from company documents and related regulations. Data analysis was conducted descriptively and interpretively to identify green accounting practices, environmental cost components, and ecological risk mitigation mechanisms. The results show that PT Daewoong Infion has implemented green accounting through the recognition and recording of hazardous waste management costs, pollution control, and environmental disclosure, which contributes to increased regulatory compliance, waste management efficiency, and ecological risk reduction. In addition, these practices strengthen the company's legitimacy and meet stakeholder expectations, in line with legitimacy theory and stakeholder theory. This study concludes that green accounting serves as an effective managerial and reporting instrument in integrating economic objectives and ecological responsibility, thereby supporting the operational sustainability of the biopharma industry. These findings recommend strengthening environmental cost measurement systems and reporting transparency to enhance sustainable ecological risk mitigation.
Abstract:This study addresses the limitations of traditional Customer Relationship Management (CRM) systems by analyzing the adoption and impact of Artificial Intelligence (AI) integration (AI-Powered CRM). Informed by the Technology…
logy Acceptance Model (TAM) for employee perception and the Resource-Based View (RBV) for strategic capability, the primary objective is to evaluate how AI-driven automation enhances customer service processes and, subsequently, impacts marketing efficiency. The research employs an exploratory qualitative case study design, utilizing in-depth interviews, document analysis, and system observation on a single organization to gather rich, contextual data. The results demonstrate that AI integration significantly accelerated service, with chatbots handling 65–70% of routine queries and drastically reducing response times. Operationally, these improvements fostered high employee acceptance (TAM). Strategically, the AI-Powered CRM generated refined predictive analytics, resulting in a 12–18% improvement in campaign conversion rates and efficient resource allocation, confirming that AI creates a valuable and difficult-to-imitate strategic capability (RBV). The study concludes that AI-Powered CRM is a critical enabler for both operational efficiency and long-term strategic competitiveness in digital markets.
Abstract:Appraisal of a company's performance can be seen both through financial and non-financial aspects. This study specifically measures financial performance by focusing on DuPont System analysis. The DuPont system divides performance…
erformance into three components, namely net profit margin, rate of return on assets, and rate of return on equity/capital. However, in this study, only two components of the DuPont System were used, namely return on assets and net profit margin. This type of research is quantitative research with a descriptive approach. The data analyzed comes from the financial reports at PT. State Savings Bank (PERSERO) Tbk specifically in the statement of financial position and annual comprehensive income statement ending December 31 2019 to December 31 2021. The results of the study show that Bank BTN has low financial performance. Judging from the total ROA generated each year, it cannot reach the standard set by Bank Indonesia. Even though it has a low ROA value, Bank BTN is able to increase ROA from year to year.
Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.
Abstract:This study explores how influencer marketing shapes digital identity and spatial relations in Makassar, Indonesia, through a spatially grounded urban ethnography approach. This framework enables a deep reading of how urban…
an residents engage with digital practices to navigate symbolic and spatial exclusion generated by influencer content. Through social media observation, narrative interviews, and the tracing of urban locations featured in visual representation, the study finds that influencer marketing does not merely sell products—it also reproduces social hierarchies through aesthetic spatiality and the logic of visibility.
Yet, amid such exclusions, marginalized communities deploy diverse tactics of resistance, including visual reengineering, the use of alternative locations, and digital irony that disrupt dominant narratives. These findings suggest that digital identity is not passively consumed but actively negotiated through concrete and often unexpected spatial relations. Drawing on Lefebvre’s theory of the production of space, Urry’s concept of digital mobilities, and Gandy’s politics of infrastructure, the study shows how cities and digital spaces co-constitute a contested symbolic terrain.
The article’s main contribution lies in advancing a Global South perspective, where digital technologies and aesthetics are practiced contextually and do not always conform to the logics of global capitalism. This research underscores that urban—and digital—space is not solely produced from above, but also from below, through the everyday agency of ordinary citizens.