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Journal : PROCEEDING IC-ITECHS 2014

Design and Build a Video Streaming Application using a Minimum Viable Product (MVP) Ricky Sebastian Irawan; Sharon Han; Arif Tirtana
IC-ITECHS Vol 3 No 1 (2022): IC-ITECHS
Publisher : LPPM STIKI Malang

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Abstract

Covid-19 makes people's mobility very limited. Because the mobility and capacity of an event is very limited, it makes many events forced to be postponed or even canceled because to prevent the spread of the Covid-19 virus from increasing. Some media eventually became a solution to the problem. One of them is video streaming media. Video streaming media is very helpful for organizers to provide information and impressions of the event via the internet. So that the audience does not need to come to the venue directly. This also makes it easier for viewers who are outside the city or even abroad to follow the event directly. STIKI Basketball League (SBL) has used this solution to limit these problems. The absence of spectators makes the venue even more lonely and boring due to building capacity restrictions which make supporters unable to support their team directly on the spot, but they can still support through video streaming media provided by the organizer. The video streaming media is also sold on a website that functions so that viewers who want to access their team's matches must subscribe first. The website product is packaged by the organizer using the Minimum Viable Product (MVP) concept which aims to make it easier for the audience to understand what features are sold by the committee. Thus, the presence of MVP in the product can increase the income from the event.
Cheating Detection During Exam with YOLO V4 Fani Oktaf Laurisa; Keith Marvin Sajul; Arif Tirtana
IC-ITECHS Vol 3 No 1 (2022): IC-ITECHS
Publisher : LPPM STIKI Malang

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Abstract

Computer-based exams have been widely implemented in various agencies in Indonesia, especially in the field of education. But in practice use Computer Based Test(CBT). Does not guarantee that examines do things honestly, if the supervisor is negligent then the opportunity to cheat appears. This can be minimized by using technology Artificial Intelligence(AI), especially in domains of computer vision (CV). Start with observation problems and then collect datasets in the form of human images facing the camera and looking sideways, then do the image annotation, pre-processing data, YOLOv4 architecture design, training data, model testing, and finally deployment of the application on the website. The model test result show accuracy with a precision score of 0.99 (99%), a recall score of 1.00(100%), and an F-1 Score of 0.99(99%).