Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Journal of Governance and Public Policy eScience Humanity Journal PENANOMICS: INTERNATIONAL JOURNAL OF ECONOMICS
Suyito, Suyito
Unknown Affiliation
Arts Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
The Dynamics of Anomaly Voters: Responding to Bawaslu Findings in the 2019 Election in Riau Yandra, Alexsander; Faridhi, Adrian; Andrizal, Andrizal; Suyito, Suyito
Journal of Governance and Public Policy Vol 10, No 1 (2023): February 2023
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jgpp.v10i1.16613

Abstract

This study tries to examine the findings of the election supervisory body (Bawaslu) regarding 32,556 anomaly voters ahead of the 2019 general election in Riau. This trend occurs because of the unsynchronization of data from the Regional General Election Commission (KPUD), the Central Statistics Agency (BPS) and the Population and Civil Registration Office (Disdukcapil) of Riau Province. Findings in the form of poor accuracy in determining the voter list by the KPUD of Riau Province have caused dynamics and polemics in the community. By using the concepts of Election theory and Democracy and Community Political Rights with a single case qualitative approach, this study finds that the potential for people whose data is not recorded by the Disdukcapil will not only lose their right to vote in elections but can also lead to potential violations of Human Rights. Therefore, this study tries to provide an early warning about the potential negative consequences of inaccurate voter data.
FROM MARGINS TO MAINSTREAM: EVALUATING WOMEN'S ROLE IN GOVERNANCE Suyito, Suyito; sabari, Desi emilia sari; lianjar, Edwin ferdy; kesidsettambul, Iuking; kurniawan, Uun; sari, Wirawan trisna
PENANOMICS: International Journal of Economics Vol. 3 No. 2 (2024): Agustus
Publisher : Yayasan Pusat Cendekiawan Intelektual Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56107/penanomics.v3i2.182

Abstract

This study explores the impact of women's empowerment on their participation in governance, examining the multifaceted barriers that hinder political engagement. Through qualitative methods, including case studies and focus group discussions, the research captures the experiences of women who have navigated these challenges. The findings reveal that cultural norms, economic limitations, and institutional inadequacies significantly affect women's political involvement. Empowerment initiatives, such as educational programs and supportive networks, were found to enhance women's confidence and motivation to participate in governance. The study emphasizes the need for targeted public policies, including gender quotas and mentorship programs, to create an inclusive political environment. Ultimately, the research highlights that fostering women's empowerment is crucial for ensuring diverse representation and improving the effectiveness of governance, contributing to more equitable decision-making processes in society.
The Role of Deep Learning in Enhancing Educational Processes: Opportunities and Applications Susanto, Alpino; Yudianto, Peri; Rahmah, Faridah; Pusvariauwaty, Pusvariauwaty; Handya Putri, Amanda; Suyito, Suyito
eScience Humanity Journal Vol 5 No 2 (2025): eSience Humanity vol 5.2. May 2025
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v5i2.238

Abstract

This inquiry endeavors to scrutinize contemporary breakthroughs in the realm of deep learning and their pragmatic utilizations within the educational sphere. To navigate prevailing  impediments, the investigation is executed via a bibliographic examination. The deductions unveil that in recent epochs, artificial intelligence (AI) has undergone an expeditious proliferation. Endeavors formerly deemed exceedingly intricate and formidable for human cognition to unravel are now deftly managed with AI’s intervention. This extraordinary innovation has garnered substantial acclaim owing to its capacity to emulate the cognitive assimilation of the human intellect through neural architectures. Comprehensively, AI is presently categorized into two principal subdivisions: Deep Learning and Machine Learning. Both of these technological paradigms have been instrumental in engendering transformative shifts across multifarious sectors, with particular emphasis on pedagogy. AI-driven mechanisms are increasingly assimilated into scholastic establishments to bolster operational efficacy, curtail expenditures, and cultivate fiscal lucidity by furnishing a perspicuous delineation of monetary inflows and outflows. Furthermore, AI empowers institutions to address exigencies with heightened alacrity and precision, thereby augmenting the overarching caliber of didactic and administrative undertakings. Owing to its extensive promise, AI remains an indispensable domain of inquiry and implementation, with deep learning spearheading its relentless progression.
Co-Authors Alexsander Yandra, Alexsander Alpino Susanto, Alpino Andrizal Andrizal Faridhi, Adrian Handya Putri, Amanda kesidsettambul, Iuking kurniawan, Uun lianjar, Edwin ferdy Pusvariauwaty, Pusvariauwaty Rahmah, Faridah sabari, Desi emilia sari sari, Wirawan trisna Yudianto, Peri