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Journal : Clean Energy and Smart Technology

CHALLENGES IN DATA SECURITY: TECHNOLOGICAL AND REGULATORY CHALLENGES IN THE PROTECTION OF PERSONAL DATA IN THE DIGITAL ERA Asnawi, Muhamad Fuat; Muhammad Alif Muwafiq Baihaqy; Saifu Rohman; Nur Hasanah; Dian Asmarajati
Clean Energy and Smart Technology Vol. 4 No. 1 (2025): October
Publisher : Nacreva Publisher

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Abstract

This study examines the challenges of personal data security in the digital era, focusing on encryption technology and the role of artificial intelligence (AI) in protecting personal data in an increasingly complex digital environment. Adopting a Systematic Literature Review (SLR) method, this study examines 91 articles obtained from IEEE Xplore and ScienceDirect to identify trends and challenges in personal data security, particularly in the context of cloud computing and the Internet of Things (IoT). The results show that although encryption technology and AI offer advanced solutions, major challenges remain in the implementation of global regulations such as GDPR and differences in policies and infrastructure across countries. This study also discusses potential solutions such as blockchain and the implementation of adaptive encryption to address weaknesses in personal data security.
IMPLEMENTATION OF TIME SERIES FORECASTING ALGORITHM IN THE 'MUSLIMAH CALENDAR' APPLICATION Suci, Amalia Putri Permata; Asnawi, Muhamad Fuat; Hasanah, Nur
Clean Energy and Smart Technology Vol. 3 No. 1 (2024): October
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v3i1.104

Abstract

Menstruation is blood that comes out of the farji (genitals) of a woman who is nine years old. In the book Risalah Haidl, it is explained that in several situations a Muslim woman who experiences menstruation is obliged to change her prayer. This Muslimah calendar aims to make it easier for users to predict the arrival of menstruation and record the prayer obligations incurred by a Muslimah. The algorithm implemented is the Time Series Forecasting Algorithm with Data Driven Prediction Exponential Smoothing Method, the sistem development method is waterfall, and the sistem design uses UML (Unified Modeling Language). This application uses the Flutter framework. The result of this research is an application that can estimate the start date of the menstrual period, the start date of the holy period and reminders of prayers that have not been done.