This study presents the results of a review of seven international publications that discuss how technology can innovate distance learning during a pandemic crisis in remote areas in Indonesia. It cannot be denied that technology services are quite large in helping the learning of the nation's children all over Indonesia. However, we should cool off on educational researchers' findings, especially technology-based learning innovations, which are now increasingly being used in all business and educational activities of the younger generation. We have conducted a review of various literature. Then we continue with a review of ten publications on the role and impact of technology applications on the sustainability of learning in areas where internet networks are still tricky issues. To prove the claim, we conducted a qualitative analysis in a phenomenological and in-depth understanding to ensure that our findings were based on validity and reliability.

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Efforts to meet the availability of vegetables in fulfilling vegetable intake, especially for people in Lutawar sub-district, Central Aceh district, community agriculture requires a technology development that supports the calculation of production at each harvest and can also determine the fulfillment of community food availability. In this case, the fulfillment of production targets for the availability of vegetables will be very effective if it is calculated using a decision support system application, using the Simple Additive weighting (SAW) method.The process of collecting and analyzing data is carried out systematically and logically using a survey, which is to collect as much data as possible about the vegetables found in Lut Tawar Subdistrict, which is a decision support for the quality of the research. Then analyze vegetables in meeting production targets and food availability. Application of the Simple Additive Weighting (SAW) method into a decision support system to create a decision support system for food availability that is assessed from its production, including 4 criteria used to make an assessment, C1: Productivity, C2: Harvest Area, C3: Area Planting, C4: Population, then decision making assigns weight to each criterion. The types of vegetables as an alternative in this study are as follows

This study analyzes the Company's Reputation, Product Quality and Price on Customer Loyalty of one-door refrigerators product in Takengon City. The research uses a quantitative research approach with associative methods. The population in the study amounted to 251 customers of the Sinar Matahari store in Takengon City, with a total sample of 68 respondents. The sampling technique used was non-probability sampling, with the accidental sampling method. The data analysis technique used multiple linear regression analysis. The research data is sourced from primary data and the data collection process uses interviews, questionnaires and observations. Based on the results of multiple linear regression analysis, it is known that the results of the t test for the Company's Reputation variable are 1.222 and significant 0.226 > 0.05, which means that the Company's Reputation partially has no positive and significant effect on Customer Loyalty, Product Quality variable is -0.642 and significant 0.000 > 0 0.05, which means that the location partially has no positive and significant effect on customer loyalty and the price variable is 4.137 and significant 0.000 <0.05, which means that the price partially has a positive and significant effect on customer loyalty. The results of the F test are 20.860 and a significant 0.000 <0.05, which means that the company's reputation, product quality and price simultaneously have a positive and significant effect on customer loyalty. The results of the R2 test show that the Adjusted R Square value of 0.471 means that 47.1% of consumer satisfaction can be obtained and is explained by the variables of Company Reputation, Product Quality and Price.