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The rapid evolution of digital technologies has fundamentally reshaped tax administration systems, particularly for Micro, Small, and Medium Enterprises (MSMEs), which constitute a critical driver of economic development yet continue to demonstrate suboptimal levels of tax compliance. This study aims to critically examine the role of Application Programming Interface (API)-based tax automation in enhancing MSME tax compliance through a systematic narrative literature review approach. Employing a qualitative design, this study synthesizes recent scholarly works published within the last five years to identify patterns, relationships, and emerging trends in digital taxation practices. The findings indicate that API-based automation significantly improves administrative efficiency, minimizes human error, and facilitates real-time data integration between taxpayer systems and tax authorities. Moreover, such integration enhances transparency and reduces compliance costs, thereby fostering voluntary compliance behavior among MSMEs. Nevertheless, the effectiveness of this technological intervention is contingent upon several structural and behavioral factors, including digital literacy, technological readiness, and the availability of reliable digital infrastructure. Persistent disparities in these areas may constrain the scalability and inclusiveness of API implementation. This study underscores that API-based tax automation represents a transformative policy instrument in modernizing tax administration systems, provided it is supported by coherent regulatory frameworks, capacity-building initiatives, and equitable infrastructure development. The findings contribute to the broader discourse on digital taxation by offering a conceptual foundation for developing adaptive and sustainable compliance strategies in the era of economic digitalization

This study analyzes the economic dynamics and development of the tourism sector in the Special Region of Yogyakarta (DIY) Province during the 2015–2024 period. The research employs a quantitative descriptive approach using secondary data obtained from the Central Bureau of Statistics (BPS). Data analysis is carried out through descriptive statistical methods and trend analysis to capture changes and patterns over time. The variables examined include regional economic growth, the number of tourist visits, road infrastructure development, labor absorption, and hotel occupancy rates across five districts/cities in the province. The findings indicate that the economy of DIY demonstrates relatively strong resilience in the post-COVID-19 pandemic period, supported by gradual recovery in tourism-related activities. The development and operation of Yogyakarta International Airport have significantly contributed to economic growth in Kulon Progo Regency, particularly by improving accessibility and investment opportunities. The tourism sector continues to serve as the main economic driver in the region, with tourist visits largely concentrated in Sleman Regency and Yogyakarta City, while Gunungkidul Regency shows considerable potential for nature-based tourism development. Overall, the study concludes that equitable infrastructure development and the strengthening of the service sector are crucial to ensuring sustainable and inclusive economic growth in the Special Region of Yogyakarta.