AI Report Order_6364776_IT_640_5-3_Milestone_Two

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School

Southern New Hampshire University *

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Course

640

Subject

Information Systems

Date

Feb 20, 2024

Type

pdf

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Uploaded by raelleee

Universitas Negeri Surabaya The State University of Surabaya Quick Submit Quick Submit IT 640 (5-3 Milestone Two) Chei Chei Document Details Submission ID trn:oid:::1:2715946953 Submission Date Oct 14, 2023, 7:05 PM GMT+7 Download Date Oct 14, 2023, 7:08 PM GMT+7 File Name Order_6364776_IT_640_5-3_Milestone_Two.docx File Size 20.5 KB 9 Pages 1,585 Words 10,279 Characters Page 1 of 11 - Cover Page Submission ID trn:oid:::1:2715946953 Page 1 of 11 - Cover Page Submission ID trn:oid:::1:2715946953

How much of this submission has been generated by AI? 0% of qualifying text in this submission has been determined to be generated by AI. Caution: Percentage may not indicate academic misconduct. Review required. It is essential to understand the limitations of AI detection before making decisions about a student's work. We encourage you to learn more about Turnitin's AI detection capabilities before using the tool. Frequently Asked Questions What does the percentage mean? The percentage shown in the AI writing detection indicator and in the AI writing report is the amount of qualifying text within the submission that Turnitin's AI writing detection model determines was generated by AI. Our testing has found that there is a higher incidence of false positives when the percentage is less than 20. In order to reduce the likelihood of misinterpretation, the AI indicator will display an asterisk for percentages less than 20 to call attention to the fact that the score is less reliable. However, the final decision on whether any misconduct has occurred rests with the reviewer/instructor. They should use the percentage as a means to start a formative conversation with their student and/or use it to examine the submitted assignment in greater detail according to their school's policies. How does Turnitin's indicator address false positives? Our model only processes qualifying text in the form of long-form writing. Long-form writing means individual sentences contained in paragraphs that make up a longer piece of written work, such as an essay, a dissertation, or an article, etc. Qualifying text that has been determined to be AI-generated will be highlighted blue on the submission text. Non-qualifying text, such as bullet points, annotated bibliographies, etc., will not be processed and can create disparity between the submission highlights and the percentage shown. What does 'qualifying text' mean? Sometimes false positives (incorrectly flagging human-written text as AI-generated), can include lists without a lot of structural variation, text that literally repeats itself, or text that has been paraphrased without developing new ideas. If our indicator shows a higher amount of AI writing in such text, we advise you to take that into consideration when looking at the percentage indicated. In a longer document with a mix of authentic writing and AI generated text, it can be difficult to exactly determine where the AI writing begins and original writing ends, but our model should give you a reliable guide to start conversations with the submitting student. Disclaimer Our AI writing assessment is designed to help educators identify text that might be prepared by a generative AI tool. Our AI writing assessment may not always be accurate (it may misidentify both human and AI-generated text) so it should not be used as the sole basis for adverse actions against a student. It takes further scrutiny and human judgment in conjunction with an organization's application of its specific academic policies to determine whether any academic misconduct has occurred. Page 2 of 11 - AI Writing Overview Submission ID trn:oid:::1:2715946953 Page 2 of 11 - AI Writing Overview Submission ID trn:oid:::1:2715946953

1 IT 640 (5-3 Milestone Two) Name Institution Instructor Course Date Page 3 of 11 - AI Writing Submission Submission ID trn:oid:::1:2715946953 Page 3 of 11 - AI Writing Submission Submission ID trn:oid:::1:2715946953

2 IT 640 (5-3 Milestone Two) SNHU Energy Inc., a moderate-scale oil and gas enterprise, primarily concentrates on uncovering and drilling oil-oriented resources. The company envisions transitioning from a solely exploratory entity to one that offers transportation and refinement of its discoveries. This crucial leap demands a robust communication infrastructure within 12 to 18 months. Based in Dallas, Texas, SNHU Energy Inc. operates in the central United States with a workforce of 120, projected to grow by 50% annually for the next two years. An initial evaluation of the current logical and physical network design will be conducted to identify connectivity, traffic patterns, and requisite changes for expansion. The existing network architecture encompasses an array of devices such as phones, switches, routers, computers, server farms, WAP encryption, as well as video and conferencing systems. From my viewpoint, the allocation of routers, users, and server farms exhibits an imbalanced workload distribution. I would certainly reconsider this network structure should I have the opportunity to redesign it. Physical Network Upon closely assessing the network topology's physical diagram, which encompasses devices and connections spanning Dallas to Memphis offices, it's evident that essential apparatus such as routers, switches, firewalls, and internet are employed at both locations. A multi-layer switch can function dually – as a switch and a router – and outshine hubs and routers when it comes to network expediency. As for network safety, a switch proves to be an intelligent option as it complicates virtual circuit analysis with the aid of network monitors (Liebert, 2011). The current quantity of routers is inadequate to provide sufficient security; thus, I recommend increasing their number to ensure vital apparatus like server farms are better guarded with specific routers and firewalls. Access to server-based data will necessitate authentication Page 4 of 11 - AI Writing Submission Submission ID trn:oid:::1:2715946953 Page 4 of 11 - AI Writing Submission Submission ID trn:oid:::1:2715946953

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