Article Per Year (5 Year)
p-Index From 2020 - 2025
0.92
P-Index
This Author published in this journals
All Journal Sharia Oikonomia Law Journal Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Loomingulisus ja Innovatsioon Research of Scientia Naturalis
Aslam, Bilal
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Physics Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
The Role of Islamic Law in Regulating Cryptocurrency and Blockchain Technology: A Case Study of Indonesia’s Regulatory Framework Anggita, Marloni; Aslam, Bilal; Hussain, Sara
Sharia Oikonomia Law Journal Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/solj.v3i2.2086

Abstract

The rapid growth of cryptocurrency and blockchain technology has raised significant legal and ethical questions, particularly in Muslim-majority countries like Indonesia, where Islamic law (Shariah) plays a central role in financial regulation. This study examines the role of Islamic law in regulating cryptocurrency and blockchain technology, focusing on Indonesia’s regulatory framework. The research aims to assess the compatibility of these technologies with Shariah principles and identify gaps in the current regulatory approach. By doing so, it seeks to provide recommendations for developing a Shariah-compliant regulatory framework that balances innovation with ethical and legal considerations. Using a mixed-methods approach, this study combines legal analysis of Indonesia’s regulatory framework with qualitative interviews with Islamic scholars, regulators, and industry experts. Data were analyzed to evaluate the alignment of cryptocurrency and blockchain technology with Shariah principles, such as the prohibition of riba (interest) and gharar (uncertainty). The findings reveal that while blockchain technology has potential applications in Islamic finance, cryptocurrencies face significant challenges due to concerns over volatility, speculation, and lack of intrinsic value. The study concludes that Indonesia’s regulatory framework must be adapted to address the unique challenges posed by cryptocurrency and blockchain technology while ensuring compliance with Shariah principles.
Big Data Analysis to Predict Consumption Patterns in Smart Cities Susilo, Anto; Prasetiyo, Rachmat; Aslam, Bilal; Farah, Rina
Journal of Computer Science Advancements Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i1.1535

Abstract

The rapid development of smart cities has increased the demand for efficient resource management and personalized services, where understanding consumption patterns is crucial. Big data analysis offers a powerful tool for predicting these patterns, enabling city planners and service providers to make data-driven decisions to enhance urban living quality. This study aims to utilize big data analytics to predict consumption patterns across various sectors in smart cities, including energy, water, and transportation. By leveraging large datasets, this research seeks to provide actionable insights for optimizing resource allocation and anticipating future consumption demands. The methodology involves collecting and analyzing data from multiple sources, such as IoT sensors, public utility records, and social media, to identify consumption trends. Machine learning algorithms, including time series analysis and clustering, were applied to detect patterns and forecast demand. Results indicate that big data analytics can accurately predict consumption fluctuations, with an 85% accuracy in energy demand forecasting and a 78% accuracy in water usage prediction. The findings highlight correlations between demographic factors and consumption, providing a comprehensive understanding of urban needs. The study concludes that big data analysis is a valuable approach to managing resources effectively in smart cities. By predicting consumption patterns, city planners can proactively address demand surges, reduce waste, and improve resource distribution, ultimately supporting sustainable urban growth. Implementing these insights could significantly enhance smart city efficiency and resilience.
Application of Model Predictive Control (MPC) in Industrial Automation Robotic Systems Aslam, Bilal; Tariq, Usman; Vandika, Arnes Yuli
Journal of Moeslim Research Technik Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i6.1566

Abstract

The industrial automation sector is rapidly evolving, with a growing need for advanced control strategies to enhance the efficiency and precision of robotic systems. Model Predictive Control (MPC) has emerged as a promising approach due to its ability to handle multivariable control problems and constraints effectively. However, its application in robotic automation remains underexplored. This research aims to implement Model Predictive Control in industrial robotic systems to improve performance, adaptability, and operational efficiency. The study focuses on evaluating the effectiveness of MPC in real-time robotic applications, specifically in tasks requiring high precision and dynamic response. A simulation-based approach was employed, using a robotic arm model as a testbed for implementing MPC. The control algorithm was designed to predict future states of the system based on current measurements and optimize control inputs accordingly. Performance metrics, including tracking error and response time, were evaluated under various operational scenarios. The implementation of MPC resulted in a significant reduction in tracking error and improved response times compared to traditional control methods. The robotic arm demonstrated enhanced adaptability to changes in the environment and task requirements, showcasing the robustness of the MPC approach. The findings indicate that Model Predictive Control is an effective strategy for enhancing the performance of robotic systems in industrial automation. The successful application of MPC not only improves operational efficiency but also provides a framework for future research into more complex robotic applications. This study contributes to the growing body of knowledge on advanced control methods in automation.  
Analysis of Factors that Influence the Implementation of Technological Innovation in the Indonesian Public Sector Aslam, Bilal; Tariq, Usman; Ahmad, Omar
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i6.1713

Abstract

The implementation of technological innovation in the public sector is a critical driver of efficiency, transparency, and service delivery in many countries, including Indonesia. Despite the increasing importance of technology in public administration, the adoption and effective implementation of technological innovations in the Indonesian public sector face various challenges, including organizational resistance, inadequate infrastructure, and limited digital skills. This study aims to analyze the factors that influence the successful implementation of technological innovations in Indonesian public institutions. Using a mixed-methods approach, the research integrates qualitative interviews with key public sector managers and quantitative surveys of public sector employees to identify the critical factors that facilitate or hinder the adoption of technology. The findings highlight that leadership commitment, organizational culture, availability of resources, and training programs are significant drivers of successful technological implementation. Conversely, barriers such as budget constraints, political factors, and a lack of technical expertise were found to limit the effectiveness of technological innovation. The study concludes that for successful technological innovation in the Indonesian public sector, it is crucial to focus on strengthening leadership, fostering a supportive organizational culture, and investing in infrastructure and training programs. These findings provide practical recommendations for policymakers and public sector managers in Indonesia.
The Role of Organic Chemistry in the Development of Biodegradable Polymers Aslam, Bilal; Shah, Ahmed; Sharipov, Rustambek
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2012

Abstract

The increasing environmental concerns associated with plastic waste have prompted significant interest in biodegradable polymers. Organic chemistry plays a crucial role in developing these materials, facilitating the design of polymers that can efficiently degrade in natural environments. This study aims to explore the contributions of organic chemistry to the synthesis and characterization of biodegradable polymers. The focus is on understanding how chemical principles can be applied to create materials with improved degradation rates and functional properties. A comprehensive literature review was conducted, analyzing various biodegradable polymers synthesized through organic chemistry techniques. Experimental work involved synthesizing selected polymers, including polylactic acid (PLA) and polyhydroxyalkanoates (PHA), and evaluating their physical and chemical properties through characterization methods such as spectroscopy and thermal analysis. Findings indicate that organic chemistry enables the tailored design of biodegradable polymers with enhanced properties. The synthesized PLA and PHA exhibited favorable degradation profiles and mechanical strengths, demonstrating their applicability in various fields, including packaging and biomedical applications. This research highlights the essential role of organic chemistry in advancing the development of biodegradable polymers.
Co-Authors Anggita, Marloni Arnes Yuli Vandika Farah, Rina Hussain, Sara Omar Ahmad Prasetiyo, Rachmat Shah, Ahmed Sharipov, Rustambek Susilo, Anto Tariq, Usman