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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Manajemen Pemasaran Petra International journal of Business Studies (IJBS) Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Jurnal Performa : Jurnal Manajemen dan Start-up Bisnis Journal of Entrepreneurship & Business Journal Research of Social Science, Economics, and Management Jurnal Penelitian Pendidikan Indonesia Indonesian Journal of Humanities and Social Sciences
Hartono Subagio
Universitas Ciputra, Surabaya, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Social Sciences Other

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Efectiveness of Implemenying Qris Transacyion In Pandemic Covid-19 Subagio, Hartono
Journal Research of Social Science, Economics, and Management Vol. 3 No. 2 (2023): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v3i02.387

Abstract

The purpose of this study is to study how widely QRIS is used among micro, small and medium enterprises (MSMEs) and how effective QRIS is in transaction processing. Reviewing the experiences of buyers and owners of micro, small and medium enterprises (MSMEs) having used QRIS has outlined the best way to use the system. This study uses a qualitative descriptive methodology. The goal of qualitative research is to bring researchers and the phenomena they study closer together in an interactive process that increases everyone's knowledge. While describing a phenomenon and its characteristics is the main goal of descriptive research. Observations, interviews, and documentation will be used to collect data, which will then be analyzed to provide solutions to the problems formulated and draw conclusions. The research findings show that first, many merchants and the general public do not understand the features and advantages of the program, the installation of a QRIS-based payment gateway for merchant transactions is still not going well. Second, the community and MSME actors are starting to switch to using QRIS because it can minimize the spread of Covid-19. Third, QRIS shows effectiveness in the transaction process during the Covid-19 pandemic which was very effective, besides that there are 2 types of transaction mechanisms using QRIS, the first is Merchant-Presented (push payment) and Customer-Presented (pull payment).
Hubungan Lagu Srikandi dan Motivasi Reflektif Inspirasi terhadap Mindset Wanita Bersemangat Wirausaha Pranoto, Henry Susanto; Sitepu, Rismawati Br; Soeparto, Wahyudi Henky; Subagio, Hartono
JOM Vol 5 No 4 (2024): Indonesian Journal of Humanities and Social Sciences, Desember 2024
Publisher : Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/ijhass.v5i4.6852

Abstract

As an effort to optimize the function and role of women, researchers conducted a descriptive study to determine the relationship between the influence of the song "Srikandi" and the influence of reflective inspirational motivation on the growth of entrepreneurial spirit in building a female entrepreneurial mindset. This study was conducted by collecting questionnaire data distributed to 14 respondents representing the Dharma Wanita Persatuan (DWP) LLDIKTI VII Surabaya. The results of the calculation of the study using the Pearson Correlation Coefficient showed a moderate negative (inverse) material correlation strength (r = -.45). The results of the study concluded that the meaning of the song "Srikandi" which has a melancholy nuance (minor) with expressive sad lyrics, shows the expression of beauty from the participants involved. However, the deep expressive results of the songs provide a negative (weakening) reflective inspirational motivational influence on the growth of entrepreneurial spirit in building a female entrepreneurial mindset.
Reading Big Data by Machine Learning: The Used of Computer Science for Human Life Subagio, Hartono; Sitepu, Rismawati
Jurnal Penelitian Pendidikan IPA Vol 9 No 10 (2023): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i10.4752

Abstract

Machine learning (ML) models use big data to learn and improve predictability and performance automatically through experience and data, without being programmed to do so by humans. Artificial Intelligence (AI) techniques are being increasingly deployed in finance, in areas such as asset management, algorithmic trading, credit underwriting or blockchain-based finance, enabled by the abundance of available data and by affordable computing capacity. The purpose of this study is to describe in detail how the power of artificial intelligence with its complex system can help the needs of digital technology in the banking sector. The research method used is the elaboration of great thoughts and facts about artificial intelligence. Scientific data is interpreted with analytical power that is as precise as possible, so as to produce a description that meets the logic of structured thinking. The data is taken from relevant and up-to-date literature, the work of scientists who have been disseminated in various weighty scientific publications at the world level. The report can help policy makers to assess the implications of these new technologies and to identify the benefits and risks related to their use. It suggests policy responses that that are intended to support AI innovation in finance while ensuring that its use is consistent with promoting financial stability, market integrity and competition, while protecting financial consumers. Emerging risks from the deployment of AI techniques need to be identified and mitigated to support and promote the use of responsible AI. Existing regulatory and supervisory requirements may need to be clarified and sometimes adjusted, as appropriate, to address some of the perceived incompatibilities of existing arrangements with AI applications.
Co-Authors Alexander Wahyudi Henky Soeparto Erick Setiadi Grace Citra Dewi Henry Susanto Pranoto Kusworo, Rian Hadi Michael Adiwijaya Michael Adiwijaya Mi’roj, Gigih Armahedi Purwono, Bambang Sugiyono Agus Rismawati br Sitepu Robin Saputra Setiadi, Erick Sitepu, Rismawati Tommy Christian Efrata Wijaya, Dicky