feasible study
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2021 ◽  
Vol 12 (2) ◽  
pp. 40
Author(s):  
Winny Alna Marlina

<p>Sukma Fried Corn Business is one of fried corn MSME business that is developing in Payakumbuh. This business has problems in the marketing, technical, and environmental aspects. Feasible study or business feasibility study is very useful for MSME owners, because it helps them in terms of product design and variety, waste management, production optimization by modifying the layout, management and organizational aspects which are common problems for MSMEs. The target of this research is to make standard product variants and packaging and modified layout. The Research Method is Qualitative descriptive. The data collection technique used in this study was the direct observation of MSMEs and focused on observing : Production System, Layout, Machines and equipment used and Waste generated. Results: In terms of market and marketing aspects, Sukma Fried Corn is innovating in adding flavor variants for its products. It is conducting promotions with both electronic and printed medias, to expand the reach of the target markert.  In addition, it  also created a unique and attractive product packaging design so that consumers can easily recognize their products. Concerning the layout of the facility, Sukma fried corn is working on separating the frying room and the packing room</p>


Author(s):  
Alya Geogiana Buja

This paper proposes cybersecurity features in the National e-Learning policy. Cybersecurity in the learning environment is becoming an issue that has been considered by the community.  DePAN 1.0 and DePAN 2.0 policies have not been carefully planned in any related security concerns. Amongst security domains in e-learning are authentication and accountability, access control, and non-repudiation issues. However, as the functionality of e-learning is expanding, information must be actively protected in this bigger context to avoid the loss of its confidentiality, integrity, and availability. Therefore, the existing policy and guidelines on e-learning have been studied thoroughly.  A very feasible study has been conducted on the existing literature and related works to e-learning and e-learning.  The security threats are also reviewed in this paper.  Based on the established e-Learning policy, therefore, the proposed security features are namely (CSF1) authentication and accountability, (CSF2) access control, (CSF3) protection of communication, and (CSF4) non-repudiation issues.  The findings from this study can be added to the implementation of e-learning in the future.


2021 ◽  
Author(s):  
Normazida Rozi ◽  
Sharina Abu Hanifah ◽  
Mohd Hazani Mat Zaid ◽  
Nurul Huda Abd Karim ◽  
Masato Ikeda

Author(s):  
Quang-Dung Pham ◽  
Trong-Hop Do ◽  
Nhu-Ngoc Dao ◽  
Woongsoo Na ◽  
Chunghyun Lee ◽  
...  

2020 ◽  
Vol 9 (9) ◽  
pp. 497
Author(s):  
Haydn Lawrence ◽  
Colin Robertson ◽  
Rob Feick ◽  
Trisalyn Nelson

Social media and other forms of volunteered geographic information (VGI) are used frequently as a source of fine-grained big data for research. While employing geographically referenced social media data for a wide array of purposes has become commonplace, the relevant scales over which these data apply to is typically unknown. For researchers to use VGI appropriately (e.g., aggregated to areal units (e.g., neighbourhoods) to elicit key trend or demographic information), general methods for assessing the quality are required, particularly, the explicit linkage of data quality and relevant spatial scales, as there are no accepted standards or sampling controls. We present a data quality metric, the Spatial-comprehensiveness Index (S-COM), which can delineate feasible study areas or spatial extents based on the quality of uneven and dynamic geographically referenced VGI. This scale-sensitive approach to analyzing VGI is demonstrated over different grains with data from two citizen science initiatives. The S-COM index can be used both to assess feasible study extents based on coverage, user-heterogeneity, and density and to find feasible sub-study areas from a larger, indefinite area. The results identified sub-study areas of VGI for focused analysis, allowing for a larger adoption of a similar methodology in multi-scale analyses of VGI.


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