Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal ICIT (Innovative Creative and Information Technology) Journal BEAM
Yunita Wulansari
University of Raharja
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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

Found 2 Documents
Search

 1 
Design of A Water Level Sensor System for Water Tanks in Internet of Things-Based Companies Yunita Wulansari; Mochamad Al Ghoniyu Oka; Farell Havids Abdillah
ICIT (Innovative Creative and Information Technology) Journal Vol. 12 No. 02 (2026): August 2026
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/icit.v12i02.4474

Abstract

Water reservoir management in company facilities requires water level monitoring that can provide fast information and help prevent empty or overflow conditions. This study designs and simulates an Internet of Things (IoT)-based water reservoir monitoring and filling system using NodeMCU ESP32, HC-SR04 ultrasonic sensor, LCD, LED, buzzer, relay, and Blynk. Different from studies that report the implementation of physical devices, this study is limited to Wokwi simulations so that the results cannot be considered as field validation. The experimental design uses five reference distance points, namely 200, 150, 100, 50, and 2 cm, with 200 cm as the empty reference condition and 2 cm as the full reference condition. Evaluation is carried out using absolute difference, mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE), as well as Black Box functional testing of connections, sensor readings, indicators, pump control, and data transmission to Blynk. The simulation results show an MAE of 0.056 cm, an RMSE of 0.066 cm, and a MAPE of 0.337%. The system also demonstrates monitoring and control functions according to the simulation scenario. The contribution of this research is not in the novelty of the components, but rather in the integration of the monitoring-control flow tailored to the company's reservoir monitoring needs, the definition of measurement reference points, and quantitative evaluation during the simulation stage. Subsequent validation needs to be carried out using a physical prototype, repeated measurements, latency testing, packet loss, and operational resilience.
Ethical and Regulatory Governance of Deepfakes in AI-Driven Media Broadcasting Solahudin Solahudin; Qurotul Aini; Tatik Maryanti; Yunita Wulansari; Marta Rodriguez
Bridging of Emerging AI and Media Broadcasting (BEAM) Vol. 1 No. 2 May (2026): Bridging of Emerging AI and Media Broadcasting
Publisher : Sundara Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/beam.v1i2.158

Abstract

The rise of artificial intelligence has significantly transformed media broadcast- ing, particularly with the proliferation of deepfakes, raising critical concerns regarding ethical standards, misinformation, and regulatory oversight. This study investigates the challenges and policy approaches necessary to address the growing threat of deepfakes in the broadcasting sector, emphasizing the im- portance of maintaining journalistic integrity while protecting audiences from manipulative content. Employing a Broad Oversight and Monitoring frame- work for Regulatory Compliance (BOMRC), the research analyzes existing legislation, industry guidelines, and technological interventions across multiple jurisdictions to evaluate their effectiveness in mitigating risks associated with synthetic media. The study utilizes a mixed-methods approach, combining qualitative policy analysis with case studies of recent deepfake incidents to high- light gaps in enforcement, ethical standards, and public awareness. Findings in- dicate that while some regulatory frameworks offer preliminary safeguards, they often lack clarity in implementation, cross-border coordination, and alignment with digital ethics principles. The study further explores how the integration of BOMRC mechanisms within broadcasting organizations can enhance proactive detection, accountability, and transparency, ultimately fostering public trust in media content. By providing a comprehensive assessment of both policy chal- lenges and practical solutions, this research contributes to the ongoing discourse on AI governance, digital ethics, and media regulation. It offers actionable in- sights for policymakers, regulators, and media practitioners aiming to balance innovation with responsibility in an era where artificial intelligence increasingly shapes public perception and information integrity.
Co-Authors Farell Havids Abdillah Marta Rodriguez Mochamad Al Ghoniyu Oka Qurotul Aini Solahudin Solahudin Tatik Maryanti