Abstract This research strives to examine the influence of financial access towards the performance of micro, small, and medium enterprises (MSMEs) through entrepreneurship oriented finance. The research respondents were comprised of 265 batik MSME entrepreneurs from three regions in Central Java Province in Indonesia, which are Pekalongan Regency, Rembang Regency, and Surakarta Municipality. Structural Equation Modeling (SEM) was used to synchronously test the data. The research results revealed that financial access, entrepreneurial orientation, and entrepreneurship oriented finance have a positive influence on MSME performance. In addition, financial access, business prospect, entrepreneurial orientation, and government policy support have a positive influence on entrepreneurship oriented finance. Furthermore, entrepreneurship oriented finance mediates the influence between business prospects, entrepreneurial orientation, and government policy support towards MSME performance.

Resumen Esta investigación se esfuerza por examinar la influencia del acceso financiero en el desempeño de las micro, pequeñas y medianas empresas (MIPYME) a través de las finanzas orientadas al emprendimiento. Los encuestados de la investigación estaban compuestos por 265 emprendedores de MIPYME batik de tres regiones de la provincia de Java Central en Indonesia, que son la regencia de Pekalongan, la regencia de Rembang y el municipio de Surakarta. Se utilizó el modelo de ecuaciones estructurales para probar los datos de forma sincrónica. Los resultados de la investigación revelaron que el acceso financiero, la orientación empresarial y las finanzas orientadas al emprendimiento tienen una influencia positiva en el desempeño de las MIPYME. Además, el acceso financiero, la perspectiva comercial, la orientación empresarial y el apoyo de las políticas gubernamentales tienen una influencia positiva en las finanzas orientadas al emprendimiento. Además, las finanzas orientadas al emprendimiento median la influencia entre las perspectivas comerciales, la orientación empresarial y el apoyo de la política gubernamental al desempeño de las MIPYME

Abstract Blasting remains as an economical and reliable excavation technique, but there are some environmental shortcomings such as the control of blast-induced vibration. The impacts of vibration over surrounding communities in a blast area have been investigated for decades and researchers have been using a myriad of empirical predictive attenuation equations. These models, however, may not have satisfactory accuracy, since parameters associated to geomechanical properties and geology affect the propagation of seismic waves, making vibration modeling a complex process. This study aims for application of an Artificial Neural Network (ANN) method and Geomechanical parameter relationships to simulate the blast-induced vibration for a Brazilian mining site and then compare them to the traditional approach. ANN had the best performance for this mine despite having demanded large datasets (as much as for the traditional approach), while geomechanical parameters like RQD and GSI may be used to deliver a fair approach even without seismic data. Also, ANN methods may be useful in dealing with a large amount of information to facilitate the simulation process when combined with other methods. Therefore, alternative prediction methods may be helpful for small budget mining operations in planning and controlling blast-induced vibration and helping mining in urban areas becoming a more sustainable activity.