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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Makara Journal of Technology Journal of Applied Science and Advanced Engineering
Agung Harsoyo
Institut Teknologi Bandung
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering Physics

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Conceptual Design of Multi-agent System for Suramadu Bridge Structural Health Monitoring System Seno Adi Putra; Bambang Riyanto; Agung Harsoyo; Achmad Imam Kistijantoro
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 3: September 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i3.1382

Abstract

Wireless Sensor Network (WSN) is small embedded devices deployed in large scale network with capability to sense, compute, and communicate. It combines modern sensor, microelectronic, computation, communication, and distributed processing technology. WSN has been taking an important contribution in structural health monitoring system, especially in Suramadu Bridge, one of the longest span bridges in Indonesia connecting Surabaya (East Java) and Madura Island. Due to subjected by environmental circumstance, it is necessary to implement intelligent and autonomous WSN to monitor the bridge condition, detect the bridge damage, and send warning message to bridge users when unsafe condition occurs. The multi-agent system is a promising approach to be implemented on intelligent and autonomous WSN, especially in the bridge structural health monitoring system. In this approach agents are empowered to have several intelligent learning capabilities for structural monitoring, damage detection, and prediction. This paper describes multi-agent system conceptual design that will be implemented as model of long span bridge structural health monitoring system considering system architecture and agent organization.
Internet Congestion Control System Rusmin, Pranoto Hidaya; Machbub, Carmadi; Harsoyo, Agung; Hendrawan, Hendrawan
Makara Journal of Technology Vol. 12, No. 1
Publisher : UI Scholars Hub

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Abstract

Internet Congestion Control System. Internet congestion occurs when resource demands exceeds the network capacity. But, it is not the only reason. Congestion can happen on some users because some others user has higher sending rate. Then some users with lower sending rate will experience congestion. This partial congestion is caused by inexactly feedback. At this moment congestion are solved by the involvement of two controlling mechanisms. These mechanisms are flow/congestion control in the TCP source and Active Queue Management (AQM) in the router. AQM will provide feedback to the source a kind of indication for the occurrence of the congestion in the router, whereas the source will adapt the sending rate appropriate with the feedback. These mechanisms are not enough to solve internet congestion problem completely. Therefore, this paper will explain internet congestion causes, weakness, and congestion control technique that researchers have been developed. To describe congestion system mechanisms and responses, the system will be simulated by Matlab.
Development of Simulator for Smart Anti-Flooding Systems: Fostering Hands-On Learning in University Education Muhida, Riza; Riza, Muhammad; Murwadi, Haris; Nurhasanah, Any; Legowo, Ari; Harsoyo, Agung
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.54

Abstract

The Flooding remains one of the most challenging natural disasters, causing widespread damage and disruption across urban and rural areas. As the frequency and intensity of floods increase due to climate change and urbanization, there is a growing need for effective flood management systems. This paper presents the development of a **Smart Anti-Flooding System (SAFS)** simulator designed to enhance hands-on learning for university students, particularly in engineering, disaster management, and environmental science programs. The SAFS integrates sensors, microcontrollers, pumps, and photovoltaic (PV) panels into an autonomous flood management system, offering students the opportunity to bridge the gap between theoretical knowledge and real-world application. The simulator monitors water levels using ultrasonic and level sensors, while controlling pumps and servo motors based on real-time data, enabling automatic water redirection in flood-prone areas. Powered by renewable energy, the system incorporates sustainability into flood management, making it a relevant tool for both education and disaster resilience. This paper highlights the SAFS's integration into university curricula, the learning outcomes achieved, and feedback from students who used the system. The results indicate that the simulator significantly enhances students' practical skills, fosters collaboration, and promotes a deeper understanding of disaster management through experiential learning
Utilization of IoT for Measuring Hydrogen Production in a Photovoltaic-Solid Polymer Electrolyte (PV-SPE) System Muhida, Riza; Riza, Muhammad; Harsoyo, Agung; Murwadi, Haris; Legowo, Ari
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.55

Abstract

The integration of the Internet of Things (IoT) technology into a Photovoltaic-Solid Polymer Electrolyte (PV-SPE) system offers an innovative solution for monitoring and optimizing hydrogen production in real time. This study presents the design and implementation of an IoT-based monitoring system for a PV-SPE hydrogen production system, utilizing ESP32 microcontrollers to collect and transmit critical operational data, including voltage, current, temperature, humidity, and hydrogen flow rate, to the Adafruit IO cloud platform. A Maximum Power Point Tracking (MPPT) controller was employed to optimize power transfer from the solar panel to the SPE electrolyzer, ensuring maximum efficiency in the electrolysis process. Experimental results confirmed that hydrogen production rates correlate directly with PV power output, with the IoT-enabled system providing efectively measurement compared to conventional methods. The system demonstrated stable data acquisition, real-time monitoring, and remote accessibility, allowing users to track hydrogen generation performance efficiently. This study concludes that the combination of IoT, renewable energy, and electrolysis technology enhances the efficiency, and scalability of hydrogen production systems
Co-Authors Achmad Imam Kistijantoro Any Nurhasanah Ari Legowo Bambang Riyanto Carmadi Machbub Haris Murwadi Hendrawan Hendrawan Hendrawan Hendrawan Muhammad Riza Pranoto Hidaya Rusmin Pranoto Rusmin Pranoto Rusmin, Pranoto Riza Muhida Seno Adi Putra