The Covid-19 pandemic has prompted many colleges and students to conduct distance learning (PJJ), unprepared. Thus, it is necessary to carry out continuous evaluation and improvement in a faster period, monthly or weekly. Therefore, an approach is needed to help the campus stay on track, and still maintain the quality of learning. It is performance monitoring. However, building a monitoring dashboard requires many resources. This study proposes a design solution using Google Sheet, which is flexible, easy to custom, and does not require extensive resources in terms of human resources and costs. The dashboard must provide information that can guide the campus to optimize the distance learning process. Therefore, this study adopts Objective Key Results (OKR), a performance measurement concept using a clear and transparent set of goals, future-oriented, but still realistic. The research consisted of five steps: determining the research scope, OKR analysis, determining the type and mechanism of data input, designing a dashboard, and evaluation. The analyzed OKR consists of 4 objectives and 27 key results (KR). Those KRs are then shown in a monitoring dashboard design based on Google sheet, consisting weekly, semester, and student dashboard. The results of this design will then be used as a monitoring guide for the implementation of distance learning at STT Terpadu Nurul Fikri in the following semester.
Financial Technology (FinTech) Lending in Indonesia is an innovative solution for financial services in Indonesia because it has convenience and benefits for Indonesians who need loans, fund management, and other financial transaction activities. FinTech Lending is growing fast because it offers reasonable interest rates and access to conventional financial institutions. The growth of FinTech Lending is expected to support financial inclusion planned by the Indonesian government. In 2020, 126 FinTech Lending Companies were operating illegally by exploiting communities experiencing economic difficulties. This study aims to determine the factors that influence the adoption of FinTech services in Indonesia, considering obstacles and occasions. Factors related to obstacles are Trust and Security in Online Lending platforms, while factors related to occasions are Personal Innovativeness, Interest Rate, and Familiarity. This study used a sampling technique, namely purposive sampling, and involved 85 respondents from Indonesian Borrowers with the age majority between 20 to 25 years old. Processes data obtained from survey results using Partial Least Square-Structural Equation Modeling (PLS-SEM). The results are that Familiarity and Personal Innovativeness affect the acceptance of FinTech Lending companies in Indonesia. In addition, it produces guidance for the improvement of FinTech Lending Companies in Indonesia, which be used to develop and support financial inclusion in Indonesia.
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