Garuda - Garba Rujukan Digital

Covid-19: Implementation e-voting Blockchain Concept Mustofa Kamil; Ankur Singh Bist; Untung Rahardja; Nuke Puji Lestari Santoso; Muhammad Iqbal
International Journal of Artificial Intelligence Research Vol 5, No 1 (2021): June 2021
Publisher : STMIK Dharma Wacana

The current situation of the Covid-19 pandemic is currently increasing public concern about the community. The government has especially recommended Stay at Home and the implementation of PSBB in various regions. One of the concerns is when the election of regional leaders to the general chairman. Even though there is already a safeguard regulation, this is not considered safe in the current Covid-19 pandemic. The solution in this research is the use of a blockchain-based E-voting system to help tackle election unrest during Covid-19. Where e-voting with blockchain technology can be carried out anywhere through the device without the need to be present in the voting booth, reducing data fraud, accurate and decentralized voting results that can be accessed by the public in real-time. The use of cryptographic protocols is applied for data transfer between system components as well as valid system security. This research method uses SUS trial analysis in a significant system of the Covid-19 pandemic situation. The implication that the SUS Score analysis shows 90 shows an acceptable E-voting system, meaning that the community can accept it because it brings positive and significant impacts such as effectiveness and efficiency.

Implementation Of Data Mining On Glasses Sales Using The Apriori Algorithm Primasatria Edastama; Ankur Singh Bist; Ari Prambudi
International Journal of Cyber and IT Service Management Vol. 1 No. 2 (2021): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

The Optik Nasional is one of the most important optik in Tasikmalaya. Many of his everyday sales transactions, even longer sales, will increase as a result of his activities through the process of purchasing and selling glasses with diverse brands. If left to its own devices, sales transaction data devolves into useless junk. With the help of technological advancements, the ability to collect and process data is improving. Data mining is the process of extracting information and expertise from large amounts of data. Transaction data may be used and analysed to generate helpful information for improved sales and promotional goods, in addition to serving as an archive for the firm. The author utilises the Apriori algorithm to obtain information on the most popular and in-demand goods in a database transaction at a national optical firm, so that the results may be utilised to improve the growth of eyeglass sales and marketing.

Implementation Of Data Mining On Glasses Sales Using The Apriori Algorithm Primasatria Edastama; Ankur Singh Bist; Ari Prambudi
International Journal of Cyber and IT Service Management Vol. 1 No. 2 (2021): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

The Optik Nasional is one of the most important optik in Tasikmalaya. Many of his everyday sales transactions, even longer sales, will increase as a result of his activities through the process of purchasing and selling glasses with diverse brands. If left to its own devices, sales transaction data devolves into useless junk. With the help of technological advancements, the ability to collect and process data is improving. Data mining is the process of extracting information and expertise from large amounts of data. Transaction data may be used and analysed to generate helpful information for improved sales and promotional goods, in addition to serving as an archive for the firm. The author utilises the Apriori algorithm to obtain information on the most popular and in-demand goods in a database transaction at a national optical firm, so that the results may be utilised to improve the growth of eyeglass sales and marketing.

The Impact Of Online System on Health During Covid 19: A Comprehensive Study Bhupesh Rawat; Ankur Singh Bist; Untung Rahardja; Chandra Lukita; Dwi Apriliasari
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.v3i2.654

COVID-19 creates an unprecedented situation before humanity. Covid-19 has changed lives in all aspects, from education, industry and social life. However, the existence of Covid-19 has greatly impacted the field of education, where the applicable learning methods usually need to make drastic changes to decide the spread of Covid-19. The education sector is turning to online education because it is not possible to call students in schools and colleges. Technology online education is proving itself to be a cure for catastrophe and filling gaps. There are major challenges regarding student health due to the high use of mobile, tablet and computer screens. There are problems regarding student health in the application of technology online learning, in this paper we make a detailed study of the same problem with the ultimate goal of research to find out the preventive measures. In this paper, we use the literature study method to explore negative cases in terms of obtaining negative reasoning due to excessive screen use during the COVID-19 scenario

Quantum Computing and AI: Impacts & Possibilities Bhupesh Rawat; Nidhi Mehra; Ankur Singh Bist; Muhamad Yusup; Yulia Putri Ayu Sanjaya
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.v3i2.656

Quantum computing is one of the emerging technologies. Different communities and research organizations are working to bring quantum computing applications into reality. Artificial Intelligence is another emerging area and getting stable with time. This paper, the main objective is to find out the impact of quantum computing research growth for AI applications. Thus, the method used in this study uses computational methods. so that this research can be concluded regarding the growing impact of quantum computing research for a given AI application. This paper also presents the impact and possibilities of quantum computing in the field of artificial intelligence.

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

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.

An Exhaustive Analysis of Stress on Faculty Members Engaged in Higher Education Ankur Singh Bist; Bhupesh Rawat; Untung Rahardja; Qurotul Aini; Anggy Giri Prawiyogi
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : International Institute of Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.533

Higher education is the face of innovation for any country. The quality and dedication of professors help to maintain quality in this process. With time, parameters were raised to check the quality of professor attributes. In this paper, we discuss all possible parameters taken by universities to evaluate faculty performance. Gradually it grew overhead pressure on professors and impacted the teaching-learning process. Our paper focused on stress parameters with possible solutions for the same issue. The process consists of several parameters to evaluate an employee's performance, such as no publications in conferences and journals, no patents filed, additional responsibilities performed, other qualifications achieved, result in the analysis of courses taught, etc. Still, it also puts a lot of pressure on both of them because they have to balance all this extra work and teaching. This paper focuses on different faculty assessment parameters and their impact on the faculty teaching-learning process. We also propose possible solutions on how this stress can be alleviated, and the existing strategy can be simplified.

The Importance of Building a Digital Business Startup in College Ankur Singh Bist
Startupreneur Business Digital (SABDA Journal) Vol. 2 No. 1 (2023): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v2i1.265

Indonesia has enough established startups for them to become popular in business incubators that accept college or university students. This is because aspiring entrepreneurs who have business ideas are given access to the incubation concept and program. As a result, study was done to find out how business incubators help colleges create firms. However, there are barriers to developing businesses, including limited technology, management, and leadership. A qualitative methodology was used to carry out the study at Raharja University's Alphabet Incubator. Utilizing an observational research approach and a literature review to gather data with the goal of streamlining the procedure, It is clear that the government supports business incubators in creating startups and utilizing technology to expand businesses. The goal of the research is to boost creativity or innovation in creating successful new companies in higher education. seen from students making use of the Alphabet Incubator's resources to create small enterprises in the digital sector and expand the workforce.

Pengembangan Analisis Sentimen dalam Rekayasa Software Engineering menggunakan tinjauan literatur sistematis Wahyu Sejati; Ankur Singh Bist; Amirsyah Tambunan
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol. 2 No. 1 (2023): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v2i1.377

Pengembangan Software Engineering membutuhkan kolaborasi banyak orang dengan beragam peran. Menurut penelitian, elemen sosial dalam tim pengembangan sangat penting untuk menyelesaikan proyek dengan sukses dan memuaskan. Telah dibuktikan bahwa suasana hati tim, memiliki dampak yang signifikan. Oleh karena itu, manajer proyek atau pemimpin proyek tertarik untuk meneliti situasi yang menimbulkan suasana hati negatif untuk membuat intervensi yang sesuai. Salah satu alat yang digunakan dalam situasi ini adalah analisis sentimen, yang menawarkan cara untuk mengukur suasana hati dari pertukaran tekstual. Makalah ini menyajikan temuan dari tinjauan menyeluruh terhadap literatur tentang teknologi analisis sentimen yang dikembangkan atau digunakan dalam Software Engineering. Penelitian ini mengumpulkan data dari 80 makalah tentang berbagai subjek, termasuk domain aplikasi, tujuan penggunaan, kumpulan data, pendekatan untuk mengembangkan alat analisis sentimen, dan kesulitan yang dihadapi para peneliti saat menggunakan analisis sentimen dalam konteks proyek Software Engineering. Berdasarkan temuan penelitian, inisiatif rekayasa perangkat lunak sumber terbuka yang menggunakan analisis sentimen sering kali menggunakan teknik berbasis mesin vektor pendukung. Terlepas dari kenyataan bahwa analisis sentimen sering digunakan dalam Software Engineering, masih ada beberapa masalah yang perlu diperbaiki. Misalnya, sulit untuk mengidentifikasi ironi atau sarkasme dalam teks. Hal ini menunjukkan jenis penelitian yang harus dilakukan untuk mengembangkan cara yang lebih baik dalam menerapkan analisis sentimen dalam konteks proyek Software Engineering. Secara keseluruhan, penelitian ini meningkatkan pemahaman kita tentang pengembangan dan penerapan alat analisis sentimen dalam Software Engineering. Penelitian ini dapat meningkatkan keberhasilan proyek Software Engineering secara signifikan karena pengetahuan yang lebih baik tentang elemen sosial dan implementasi teknologi analisis sentimen yang efektif.

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