A green economy has an impact on improving welfare, but it takes continuous efforts to achieve it from various fields. Contribution in the context of banking on a small scale is one of the initiatives that can show participation in achieving a green economy. This study aims to explore people’s behavior in financial transactions and analyze the practice of rural credit banks in encouraging the achievement of a green economy through the National Financial Inclusive Strategy (NFIS) program despite the COVID-19 pandemic. This study used quantitative approaches; observations were conducted at a certain time by collecting data taken directly as a complement to this study, as well as taking questionnaire data involving 363 samples and analyzing them using the structural equation model (SEM). The result is that green economic support is found in using paper for fewer savings transactions compared to branchless banking with conventional savings transactions. The high number of residents exposed to COVID-19 does not affect branchless banking. In addition, the use of branchless banking can show the penetration of financial literacy in the community. The results of the path analysis explain that perceived ease of use (7.468) and perceived usefulness (2.152) have an influence on attitude; intention is greatly influenced by attitude (15.357); and actual usage is influenced by intention (11.682). This research has specific implications for the Magelang City Rural Bank (MCRB), which needs to conduct market research to find out the potential of branchless banking that is specifically needed by the people of Magelang. Branchless banking innovation needs to be strengthened by presenting easy-to-understand and easy-to-use applications to improve the attitude of the Magelang people in adopting branchless banking applications and using them sustainably.
The acceleration of stunting reduction in Indonesia is one of the priority agendas in the health sector, its implementation being through various regional and tiered approaches. This paper aims to manage management using an integrated system framework approach at the regional level and to support the acceleration of stunting reduction nationally. It takes a quantitative description approach that uses secondary data sourced from the Directorate General of Regional Development, Ministry of Home Affairs, the Republic of Indonesia in 2019–2021. The locus of papers is in five provinces, North Kalimantan, South Kalimantan, Central Kalimantan, West Kalimantan, and East Kalimantan, Indonesia. The data collection and processing consisted of twenty stunting convergence coverage referring to regulations in Indonesia. The analysis used is an integrated framework based on five dimensions. Management based on an integrated framework in a regional-based system for stunting convergence can be a solution to accelerating stunting reduction. This paper provides an option to accelerate the handling of stunting through the Integration of Service Governance-Based Systems in Districts/Cities, considering the achievements in the last three years that have not been maximally carried out in every district/city in five provinces in Kalimantan, Indonesia. This study explains that the local government needs to socialize and disseminate the commitment to stunting reduction results to reaffirm commitment and encourage all parties to actively contribute to integrated stunting reduction efforts. This paper has limitations in the implementation of dimensions that can develop in a context that is correlated with several perspectives, such as regional planning, budgetary capacity, and regional capacity.
Regional competitiveness is an indicator of development that can be pursued by innovation, innovation in the process requires commitment in the form of policy, this is what distinguishes developmental development between regions. The purpose of this study is to analyze the innovation process, policies in the innovation process and evaluate the regional competitiveness of the innovation process that occurs in four regions, Magelang City, Pekanbaru City, Labuhanbatu Regency and Tuban Regency. Descriptive analysis is used qualitatively in this study in the form of direct interaction with the four regions. The primary data used comes from the direct observation process, while secondary data are sourced from official documents published by the study sampling. The nine-month study began in November 2018 until August 2019. The findings of this study indicate that policy has a priority role in the innovation process, the innovation process has the ability to encourage regional competitiveness, regional competitiveness becomes a foothold in determining regional policies
This study aims to identify and describe the regional innovations produced in Keerom Regency, Papua Province, Indonesia after the Coronavirus disease 2019 (COVID-19) pandemic, to analyze integrated regional service capacity indicators with a special focus on organizational performance indicators in integrated units that can be measured quantitatively and simply. In addition, to create an understanding of organizational performance in geographic areas. The method approach uses a mixed-methods description to tell the results of the study. Secondary data were analyzed in the form of innovation proposals for as many as 108 regional innovations. The analysis used adopts local service capacity which was developed with additional indicators of innovation. Local Service Indicators used to consist of Leadership and Governance, Structure and System, Human Resources, Financial Management, Program Management, Monitoring and Evaluation Plan, Partnerships, External Relations and Networks, Knowledge Management, and Organizational Innovation. Local services are built using spreadsheet tools to make the process easier to use. The result is that organizational services in regional innovation as a whole still reach a score of 52% on a 100% scale giving the result that organizational services have been carried out amid the limitations of local governments which are characterized by limited knowledge needed, not yet optimally prepared programs, low organizational acceleration. For regional innovation, the harmonization process between planning, evaluation, and monitoring is not yet optimal.
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