Abstract:Penelitian kuantitatif eksplanatori ini bertujuan menganalisis pengaruh pemahaman makna lampu sein dan kepatuhan pengendara terhadap keselamatan berkendara di Kota Bandung. Sampel penelitian berjumlah 100 pengendara sepeda…
da motor aktif yang dipilih menggunakan rumus Slovin melalui teknik purposive sampling. Data dikumpulkan dengan kuesioner skala Likert dan dianalisis menggunakan regresi linier berganda melalui IBM SPSS. Hasil penelitian membuktikan bahwa secara parsial, pemahaman makna lampu sein berpengaruh positif dan signifikan terhadap keselamatan berkendara (t_”hitung” =3,309>t_”tabel” =1,984; p=0,001). Kepatuhan pengendara juga berpengaruh positif dan signifikan (t_”hitung” =8,251>t_”tabel” =1,984; p=0,000). Secara simultan, kedua variabel berpengaruh signifikan terhadap keselamatan berkendara (F_”hitung” =339,026>F_”tabel” =3,090; p=0,000) dengan koefisien determinasi (R^2) sebesar 87,5%, sedangkan 12,5% sisanya dipengaruhi faktor di luar model. Kesimpulannya, pemahaman isyarat nonverbal dan kepatuhan berkendara sangat penting untuk meminimalkan risiko kecelakaan lalu lintas di Kota Bandung.
Abstract:Penelitian ini dilatarbelakangi oleh persaingan UMKM kriya yang semakin ketat sehingga pelaku usaha perlu menerapkan Digital Marketing dan meningkatkan kualitas produk untuk mendorong keputusan pembelian konsumen. Namun,…
Aiscra Collection masih menghadapi kendala berupa pemanfaatan Digital Marketing Instagram yang belum optimal serta kualitas produk yang belum sepenuhnya memenuhi harapan konsumen. Penelitian ini bertujuan untuk menganalisis pengaruh Digital Marketing Instagram dan kualitas produk terhadap keputusan pembelian konsumen pada UMKM Aiscra Collection di Kota Bandung. Penelitian menggunakan pendekatan kuantitatif dengan metode deskriptif dan verifikatif. Data diperoleh melalui penyebaran kuesioner kepada 94 konsumen perempuan Aiscra Collection yang dipilih menggunakan teknik purposive sampling, kemudian dianalisis menggunakan analisis regresi linier berganda dengan bantuan IBM SPSS. Hasil penelitian menunjukkan bahwa Digital Marketing, kualitas produk, dan keputusan pembelian berada pada kategori baik. Secara parsial, Digital Marketing Instagram dan kualitas produk berpengaruh signifikan terhadap keputusan pembelian. Secara simultan, Digital Marketing Instagram dan kualitas produk berpengaruh signifikan terhadap keputusan pembelian. Kesimpulannya, Digital Marketing Instagram dan kualitas produk berpengaruh terhadap keputusan pembelian konsumen pada UMKM Aiscra Collection di Kota Bandung, dengan kualitas produk memberikan pengaruh yang lebih dominan dibandingkan Digital Marketing Instagram.
Abstract:Digital transformation has moved beyond the simple adoption of information technology and has become a fundamental organizational process affecting leadership, employee behavior, innovation, and performance. This study examines…
xamines the relationship between digital leadership and organizational performance by investigating employee innovation implementation as an intervening mechanism. Drawing on the Dynamic Capability View, digital leadership is conceptualized as a strategic capability that enables organizations to mobilize technological resources, stimulate employee experimentation, and facilitate the implementation of new ideas. A quantitative research design is proposed using a structured questionnaire administered to employees in digitally transforming organizations. The hypothesized relationships are tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The proposed model examines both the direct effect of digital leadership on organizational performance and its indirect effect through employee innovation implementation. The study contributes to digital leadership literature by distinguishing innovation implementation from the broader concept of innovative behavior and by explaining how employee-generated ideas can be translated into organizational value.
Abstract:The rapid expansion of digital learning and artificial intelligence (AI) has significantly transformed educational systems worldwide, including in Ghana. However, the integration of digital technologies into education also…
so raises critical concerns regarding epistemological inequality, technological dependency, and the marginalization of indigenous knowledge systems. This study aims to critically examine digital learning in Ghana through a decolonial perspective by exploring the relationship between artificial intelligence, local knowledge, and future educational transformation. The study employed a qualitative conceptual approach based on critical literature review and decolonial theoretical analysis. Data sources consisted of scholarly articles, academic books, policy reports, and international publications related to digital learning, AI in education, indigenous knowledge systems, and postcolonial educational transformation. The findings reveal that contemporary digital learning systems frequently reproduce colonial epistemologies through linguistic dominance, curriculum standardization, algorithmic bias, and dependency on externally developed technological infrastructures. Indigenous languages and local knowledge systems remain underrepresented within mainstream educational technologies, limiting epistemic inclusivity and cultural relevance. Nevertheless, the study also identifies the transformative potential of culturally responsive AI, multilingual digital learning environments, and indigenous knowledge integration in constructing more equitable educational futures. The study concludes that decolonizing digital learning in Ghana requires the reconstruction of educational technologies grounded in epistemic justice, cultural dignity, local participation, and technological sovereignty. This article contributes to contemporary discussions on decolonial education, ethical AI, and digital transformation within the Global South by positioning digital learning as both a technological and epistemological arena of struggle.
Abstract:Financial crisis is a serious threat to economic stability, so an effective early warning system is needed to detect and anticipate potential risks early on. The implementation of artificial intelligence (AI) in financial…
l crisis early warning systems offers significant advantages through big data analysis capabilities, non-linear pattern detection, and more accurate and faster risk prediction than conventional methods. Studies have shown that machine learning and deep learning algorithms can improve crisis prediction accuracy, expand the scope of risk monitoring, and support more responsive decision-making by regulators and financial industry players. However, challenges such as data quality, security, model transparency, and human resource readiness still need to be addressed for optimal AI implementation. This study concludes that with good governance, investment in infrastructure and human resources, and adaptive regulations, AI can be a strategic tool in strengthening early warning systems and maintaining financial sector resilience in the digital era.
Abstract:The growth of the gig economy in Indonesia has triggered significant transformations in the traditional labour structure. This study aims to analyse the impact of the gig economy on workers' employment patterns, income,…
and social protection using a literature review method. The results of the analysis show that the gig economy offers flexibility and new employment opportunities but also increases income uncertainty and widens the social protection gap between gig and traditional workers. In addition, there is a skills disruption that requires increased digital literacy and worker adaptability. This research recommends the need for labour regulation reform, strengthening portable social security systems, and expanding access to digital training so that the gig economy can provide inclusive and sustainable benefits for the entire Indonesian workforce.
Abstract:The development of the gig economy and cross-border remote work has significantly changed the face of the world of work but also poses complex regulatory challenges. This research aims to identify and analyse the regulatory…
ory challenges faced in the context of the gig economy and cross-border remote work and evaluate the policy responses from various countries. The method used is a literature review by examining scientific literature, national and international regulations, and related policy reports. The results showed that the unclear legal status of workers, differences in regulations between countries, taxation issues, and limited social protection are the main obstacles. This research recommends the need for adaptive regulatory reforms and international collaboration to create an inclusive and equitable legal framework to support sustainable growth of the digital economy and protect workers' rights.
Abstract:Digital transformation has brought significant changes in the corporate risk management landscape. The application of Big Data and predictive analytics provides new opportunities for companies to identify, monitor and control…
ntrol risks more effectively and efficiently. This research aims to examine the implementation strategy of Big Data and predictive analytics in corporate risk management through the literature review method. The results show that the integration of these technologies can improve early detection of risks, accelerate data-based decision-making, and automate the risk mitigation process. However, successful implementation is strongly influenced by the readiness of technological infrastructure, human resource competence, data governance, and management commitment. With the right strategy, companies can build an adaptive, responsive and highly competitive risk management system in the digital era.
Abstract:Digital transformation in the financial sector encourages the adoption of Artificial Intelligence (AI) in early warning systems to improve the effectiveness of risk detection and mitigation. This study aims to identify and…
nd analyse the challenges and opportunities of AI implementation in the financial sector early warning system through the literature review method. The results show that AI offers great opportunities in improving fraud detection accuracy, operational efficiency, service personalisation, and data-driven decision making. However, AI implementation also faces significant challenges, such as data quality and security issues, risk of algorithm bias, limited human resources, and the need for adaptive regulation and governance. Optimising these opportunities and mitigating these challenges requires a comprehensive strategy that includes strengthening data governance, improving cybersecurity, developing human resources, and collaborating with regulators. With the right approach, AI can be a key foundation in strengthening the resilience and competitiveness of the financial sector in the digital era.
Abstract:This study aims to analyse the implementation of bureaucratic reform and its impact on public service transparency in Indonesia. Through a qualitative approach with a literature review, this study found that bureaucratic…
reforms carried out through organisational restructuring, simplification of procedures, strengthening human resources, and the use of information technology have encouraged the creation of more open and accountable public services. The digitisation of services and the public complaints system expanded public access to information and increased participation in service oversight. The results show that public service transparency has improved significantly, although challenges remain in terms of apparatus resistance and infrastructure limitations. Thus, bureaucratic reform plays an important role in realising governance that is transparent, efficient and responsive to the needs of society.