Nowadays, rural depopulation is one of the biggest problems in developed and developing countries, especially due to the COVID-19 pandemic. This pandemic impacts various sectors, especially the economic sector. However, the development of the 4.0 Industrial Revolution forced all sectors, including agriculture, to adapt and take advantage of internet-based digital technology by developing smart agriculture. Therefore, the objective of this study is to analyze the development of smart agriculture in rural areas. This study uses a systematic literature review with a TAA approach with secondary data collected from Scopus databases. The downloaded documents will be further analyzed using VOSviewer software to find the clustering. After the coding process by first-order categories, second layer theme, and aggregate dimension, this research found several theoretical concepts about the “Smart Village”. The definition of the ‘smart village’ concept is a combination of smart agriculture and industry 4.0 technology utilized by rural MSMEs to use the information and communication technology integrated into public services and economic activities. There are still many obstacles encountered in the application of ‘smart villages,’ such as the lack of youth participation and the low quality of human resources in the agricultural sector, limited internet network coverage, and the lack of optimal capital support. This research will contribute to the systematic literature review method by purposing filtering criteria of TAA to shade the light of the lack of data accuracy in several leading databases of scholarly impacts. This research also gives a clear direction for further research regarding industry 4.0 and Indonesia's smart agriculture concept application.

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The objective of this study was to determine the effect of internal factors in the cases of liquidity, activity, leverage, asset size to the value of manufacturing company. This research was conducted at the Indonesia Stock Exchange. The object of research was the financial statements of manufacturing companies in the form of financial statements for the period 2010 -2015 contained in the Indonesian Capital Market Directory, as well as other data. To test the hypothesis of the effect of variable X to variable Y, the F test was simultaneously used and to test the hypothesis of the effect of variable X to variable Y, the t test was partially used. The data used in this research were involving the secondary data obtained from Indonesian Capital Market Directory for the period of 2010 -2015, Webb Jakarta Stock Exchange, Bank Indonesia and the Central Bureau of Statistics. Samples were taken by purposive sampling as many as 38 companies for 6 years observation. The result of the research showed that liquidity and activity had no effect to Company's Value. However, the asset size had positive and significant influence to Company's Value. In addition, leverage had negative and significant effect to Company's Value.