Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Peuradeun
Ahmad, Norashikin
Unknown Affiliation
Religion Humanities Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Maqasid Shariah and Islamic Fintech Research: Trends, Topics and Collaborations Ahmad, Norashikin; Hanapi, Mohd Shukri; Yasin, Yusma Fariza
Jurnal Ilmiah Peuradeun Vol. 13 No. 3 (2025): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/peuradeun.v13i3.1829

Abstract

This study examines how Maqasid Shariah principles influence the evolving discourse on Islamic financial technology (FinTech) at the global level. Based on 397 Scopus-indexed publications from 2019 to 2023, the study employs analytical mapping to explore publication trends, thematic developments, and international collaborations. The findings reveal a surge of scholarly attention between 2019 and 2021, followed by a slight decline, with Malaysia identified as the most active contributor. Six key thematic clusters emerged—covering crowdfunding, blockchain, digital assets, and Islamic banking—indicating a gradual shift of Maqasid Shariah from theoretical discussions to practical applications. Conceptually, Maqasid is framed not only as an ethical compass but as a normative and epistemological foundation that integrates Shariah, economics, and technology. Practically, the study offers insights for policymakers and industry players to align digital finance with justice, transparency, and inclusivity while contributing to broader global agendas such as the SDGs and ESG. Although limited to Scopus data, the study encourages further qualitative and comparative inquiries to deepen understanding of Maqasid implementation and strengthen the development of ethical and sustainable Islamic FinTech ecosystems.
An efficient clustering approach in electrical energy consumption patterns Tiara Kusuma, Dine; Ahmad, Norashikin; Sakinah Syed Ahmad, Sharifah; BM Sangadji, Iriansyah; Arvio, Yozika
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8666

Abstract

A comprehensive understanding of electrical energy consumption patterns is essential for strategizing and monitoring the use of energy resources. Industry and business customers of electrical have energy consumption patterns that vary widely depending on the type of industry, business size, and operating hours. This research uses clustering analysis to obtain electrical energy consumption patterns in industrial and business electricity customer groups by grouping data into similar groups. The variables used in this research are daytime, active power (kW), apparent (kVa), and power factor (PF). The objective of this research is to determine the efficacy and benefits of each clustering technique employed in load profile analysis. The clustering algorithm approach used in this research is k-means and fuzzy subtractive clustering (FSC). The trials carried out on these two approaches provide valuable knowledge regarding the effectiveness and superiority of each algorithm in producing significant clusters from the data used in this research. The evaluation conducted using the Davies-Bouldin index (DBI) indicates that the quality value for FSC is 0.25 for business customers and 0.31 for industrial customers. On the other hand, the quality value for k-means is 0.55 for business customers and 0.56 for industrial customers.
Co-Authors Arvio, Yozika BM Sangadji, Iriansyah Hanapi, Mohd Shukri Sakinah Syed Ahmad, Sharifah Tiara Kusuma, Dine Yasin, Yusma Fariza