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All Journal Aptisi Transactions on Technopreneurship (ATT) ADI Journal on Recent Innovation (AJRI) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence
Alfiah Khoirunisa
University of Raharja
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Social Sciences

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 1 
Analysis Of Deep Learning Techniques For Chest X-Ray Classification In Context Of Covid-19 Vertika Agarwal; M. C. Lohani; Ankur Singh Bist; Eka Purnama Harahap; Alfiah Khoirunisa
ADI Journal on Recent Innovation Vol. 3 No. 2 (2022): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v3i2.659

Abstract

Coronaviruses (COV) are a large family of viruses that cause illness ranging from common cold to more severe disease such as MIDDLE EAST RESPIRATORY SYNDROME (MERS-COV) and SEVERE ACUTE RESPIRATORY SYNDROME (SARS-COV). Common signs of infection include respiratory symptoms, Fever, Cough, Shortness of breath and breathing difficulties. In severe cases, infection can cause pneumonia, severe acute respiratory syndrome, kidney failure and even death.3-Tier strategy is employed by government to combat this virus i.e., Track, Test and Treat. So, there is a need to increase the testing speed but the main stumbling block is the time RT-PCR takes which is around 2-3 days. In this situation, the recent research using Radiology imaging (such as Xray) techniques can be proven helpful to detect Covid 19. Latest deep learning techniques applied to Xray scans which rapidly detects the disease and thus reducing the time for testing. Moreover, it is accurate as compare to RT-PCR test where nose and mouth swabs are taken by lab technician which is prone to error.In this survey paper, ten different DL Techniques are surveyed which performs Xray classification with different accuracy. Different combination of Datasets are employed by these algorithms to improve the performance of their proposed model.Our paper evaluates the performance of each algorithm based on two parameters -Accuracy and Sensitivity.
Locked And Tied: Locking Chain And Change Of Problems Alfiah Khoirunisa; Kartini; Raihan
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 1 (2021): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i1.500

Abstract

Blockchains are typically named as democratisation technologies, however ever, their relationship with the law and general democratic establishments remains uncertain. First, it compares blockchain technology with the broader theory of transparency. Second, it examines the link between transparency and democracy, and asks how blockchain technology mediates these relationships. Finally, it studies blockchain however technology affects specific manifestations of transparency and freedom of information. The conclusion of this text is that the relationship between transparency and democratic ideals is complex, controversial, and extremely contextual; the “democratized” technical transparency embedded within the blockchain will simply be evidenced in its application. It's undemocratic. while not considering the political gatekeepers and also the legal, social, and cultural desires that support these goals, blockchain technology cannot bring home the bacon the broader goals of transparency.
RETRACTED (ditarik) : Science Literacy in Early Childhood: Development of Learning Programs in the Classroom Choiriyah; Ninda Lutfiani; Alfiah Khoirunisa; Adam Faturahman; Efa Ayu Nabila
Aptisi Transactions On Technopreneurship (ATT) Vol 3 No 2 (2021): September
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Following rigorous, careful concerns and communication between the publisher and the authors of the article published in Aptisi Transactions on Technopreneurship to article entitled “Science Literacy in Early Childhood: Development of Learning Programs in the Classroom” Vol 3, No 2, pp. 30-36, September 2021. This paper has been withdrawn at the request of the author and has been retracted. The article contained redundant material, the author has informed the editor that the paper was published in the Indonesian Journal of Early Childhood Education Studies, 10(2), pp. 136-142. The publisher apologizes to the authors and readers for the error and any inconvenience caused.
A Blockchain Based Online Business Intelligence Learning System Po Abas Sunarya; Alexander Williams; Alfiah Khoirunisa; Adrian Sean Bein; Delfi Martika Sari
Blockchain Frontier Technology Vol. 1 No. 01 (2021): B-Front(Blockchain Frontier Technology)
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v1i01.17

Abstract

It isn't an smooth challenge for instructors to test day by day scholar mastering assignments and deliver appropriate grades, attitudes each day. Online mastering structures are nevertheless prone and effortlessly added with the aid of using instructors and gadget managers. Blockchain offers everlasting and dependable garage offerings in addition to computerized calculation offerings. Therefore, the blockchain-primarily based totally on-line mastering gadget proposed on this paper, serves to examine the day by day lives of college students and mechanically their attitudes if you want to relieve instructors from tedious and complicated workloads and may offer sincere and accurate opinions of scholar attitudes. This article uses a qualitative method. Therefore, this text introduces the state of affairs of mastering commercial enterprise intelligence in universities and jobs associated with blockchain-primarily based totally commercial enterprise intelligence mastering structures. Then the gadget is exact withinside the shape and clever contracts.
The Digital Economy's Use of Big Data Mochamad Wahyudi; Vivi Meilinda; Alfiah Khoirunisa
International Transactions on Artificial Intelligence Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i1.167

Abstract

The function of Big Data technology and Data Science in the contemporary digital economy is examined in this article. According to the author, large and medium-sized businesses in the retail and service sectors have a greater interest in utilizing them. Banks, mobile operators, and major manufacturing firms actively employ these technologies (Artificial Intelligence) to evaluate data on equipment failures and minimize downtime, which enables cost-reduction. Big Data technology serves as a liquid product and a prerequisite for boosting business profitability through individualized customer care and predictive analytics. It is crucial to ensure the formation of unique data exchanges and legalize a single definition of big data for the modern digital economy.
Co-Authors Adam Faturahman Adrian Sean Bein Alexander Williams Ankur Singh Bist Choiriyah Delfi Martika Sari Efa Ayu Nabila Harahap, Eka Purnama Kartini M. C. Lohani Mochamad Wahyudi Ninda Lutfiani Po Abas Sunarya Raihan Vertika Agarwal Vivi Meilinda