This paper presents the spectroscopic dataset, pre-processing, calibration, and predicted model database of Fourier transform infrared (FTIR) spectroscopy used to detect adulterated coconut milk with water. Absorbance spectral data were acquired and recorded in wavelength range from 2500 to 4000 nm for a total of 43 coconut milk samples. Coconut milk ware prepared in three forms of adulteration. Coconut milk comes from traditional markets and instant coconut milk in Indonesia. Spectra data may also be pre-processed to increase prediction accuracy, robustness performance using normalize, multiplicative scatter correction (MSC), standard normal variate (SNV), 1st derivative, 2nd derivative, and combination of 1st derivative and MSC. Calibration models and cross-validation to forecast those adulteration parameters use two regression algorithms, i.e., principal component regression (PCR) and partial least square regression (PLSR). By looking at its statistical metrics, prediction efficiency can be measured and justified (correlation coefficient (r), correlation of determination (R 2 ), and root mean square error (RMSE)). Obtained FTIR datasets and models can be used as a non-invasive method to predict and determine adulteration on coconut milk.

The data collection and distribution of the Village Fund Direct Cash Assistance (BLT) by the Village Head is the implementation of the Central Government program in order to help ease the economic burden of the poor who are affected by the Covid-19 outbreak. The data collection and distribution of Village Funds is carried out through the respective Village Heads so that the assistance can be distributed smoothly and on target according to the goals that have been set, including in the District of Depati VII, Kerinci Regency. However, in its implementation, data collection and distribution activities are in the spotlight because there are discrepancies with the expected goals. Therefore, this study aims to further discuss the implementation of data collection and distribution of the Village Fund BLT Fund in the District of Depati VII, Kerinci Regency and the problems encountered in it.

Online loans are one of the financing business models organized using applications on the internet, the online loan business is currently developing so fast because it offers loans that can reach a sufficiently large amount with easy terms, procedures, and transaction processes, all intended to improve people's economic conditions. However, its implementation still sparks many legal problems and presents challenges for digital law in Indonesia. This study aims to study the challenges faced by Indonesian digital law due to the growth of the online loan business and to explore how the prospects of the online loan (fintech) business in improving the economic conditions of the Indonesian people. This research used empirical juridical methods, a case, and a statutory approach. The results showed that the challenges faced by Indonesian law in anticipating the growth of online businesses tainted by various legal cases require a more comprehensive rule of law in the form of legislation, thereby supporting the growth of prospects of the online loan business in an effort to improve the economy of the people of the state.

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