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DESIGN OF AN ARDUINO-BASED WATER UTILIZATION MONITORING SYSTEM FOR PUBLIC WATER SUPPLY COMPANIES Dewi, Irana; Candra, Rudi Arif; Sipahutar, Erwinsyah; Budiansyah, Arie
Global Advances in Science, Engineering & Technology (GASET) Vol. 1 No. 1 (2025): Global Advances in Science, Engineering & Technology (GASET), Article Research
Publisher : Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/gaset.v1i1.62

Abstract

This research presents the design and implementation of an Arduino-based water utilization monitoring system tailored for public water supply companies (PDAM) in Indonesia. The system integrates various sensors, including turbidity, pH, temperature, and electrical conductivity sensors, to effectively monitor water quality and usage in real-time. Utilizing an Arduino microcontroller as the central processing unit, the system automates data collection and processing, providing valuable insights into water conditions and consumption patterns. The incorporation of IoT technology and wireless communication modules enables remote monitoring and control, enhancing operational efficiency and user engagement. The device features a water flow sensor and a digital water meter, with data displayed on an LCD screen, allowing users to track their water consumption easily. Additionally, an alarm system alerts users when water usage approaches a predefined maximum limit, promoting water conservation. The findings indicate that the system operates effectively within specified flow rates, demonstrating its potential as a cost-effective solution for improving water management practices in public water supply sectors. Future enhancements may include internet-based monitoring capabilities and backup power solution This research presents the design and implementation of an Arduino-based water utilization monitoring system tailored for public water supply companies (PDAM) in Indonesia. The system integrates various sensors, including turbidity, pH, temperature, and electrical conductivity sensors, to effectively monitor water quality and usage in real-time. Utilizing an Arduino microcontroller as the central processing unit, the system automates data collection and processing, providing valuable insights into water conditions and consumption patterns.
ARDUINO UNO R3 MICROCONTROLLER-BASED DESIBEL (dB) METER DEVELOPMENT ALERT(CASE STUDY SDN 04 TAPAKTUAN) Rahmadani, Pia; Candra, Rudi Arif; Jannah, Dina Miftahul; Budiansyah, Arie; Ilham, Dirja Nur
Global Advances in Science, Engineering & Technology (GASET) Vol. 1 No. 1 (2025): Global Advances in Science, Engineering & Technology (GASET), Article Research
Publisher : Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/gaset.v1i1.63

Abstract

Noise is an environmental problem that arises due to the rapid growth of communication, industrialization, transportation, space, musical instruments and population. The purpose of this research is to detect the frequency value of sound intensity that can cause deafness and sound frequency that is safe for human hearing. The sound intensity value detected by the sensor is displayed in Real Time through Lcd. This tool research uses three parts, namely control, input and output, where Arduino nano functions as a tool controller, sound sensor as an input that functions as a sound detector around, dfplayer and Lcd as an output that functions to display sensor readings in the form of numbers and emit sound. Sound sensor reading data uses 4 categories, namely 0-30 dB “very safe”, 30-60 “safe”, 60-90 “dangerous” and 90-100 “very dangerous”, and the sound will sound according to the value displayed on the sound sensor to Arduino to facilitate the monitoring process. After the whole tool is assembled the tool is tested in two different places, namely Taman Pala and SDN 9 Tapaktuan South Aceh. The results of testing the tool in the nutmeg garden show a sound frequency number of 53.26 dB in the “safe” category, while the test results at SDN 9 show a frequency number of 98.93 dB in the “Very dangerous” category when the room is noisy.
Design and Implementation of a WiFi Manager System on the ESP8266 Module for IoT Applications Nisa, Rahmatul; Suryanto, Eka Dodi; Sipahutar, Erwinsyah; Budiansyah, Arie; Candra, Rudi Arif
Global Advances in Science, Engineering & Technology (GASET) Vol. 1 No. 2 (2025): Global Advances in Science, Engineering & Technology (GASET), Article Research
Publisher : Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/gaset.v1i2.248

Abstract

The rapid growth of Internet of Things (IoT) technology has increased the demand for flexible and user-friendly wireless connectivity in embedded systems. One of the most widely used modules in IoT applications is the ESP8266, which integrates a microcontroller and WiFi capability in a compact and low-cost platform. Despite its advantages, WiFi configuration on the ESP8266 is commonly implemented using static credentials that are hardcoded into the firmware. This approach requires recompilation and reprogramming whenever network parameters change, making it inefficient and impractical for end users and large-scale deployment. This research proposes the design and implementation of a WiFi Manager system on the ESP8266 module to enable dynamic WiFi configuration without modifying the firmware. The proposed system allows the ESP8266 to automatically switch to Access Point (AP) mode when it fails to connect to a previously stored network. Users can then configure WiFi credentials through a web-based interface using a standard web browser. The configuration data are stored in non-volatile memory and used to reconnect the device in Station (STA) mode once a valid network is detected. The research methodology includes system design, firmware development using the Arduino platform, and functional testing to evaluate connectivity performance and reliability. Experimental results show that the WiFi Manager system successfully simplifies the WiFi configuration process, achieves a high connection success rate, and provides stable reconnection after power reset. The proposed approach enhances usability, deployment flexibility, and scalability of ESP8266-based IoT devices.
Performance Analysis and QoS Modeling of an IoT-Based Real-Time Patient Monitoring System Using Heart Rate and GPS Data Budiansyah, Arie; Anugreni, Fera; Ihsan; Fardiansyah; Ihsan, M Arinal
Global Advances in Science, Engineering & Technology (GASET) Vol. 1 No. 2 (2025): Global Advances in Science, Engineering & Technology (GASET), Article Research
Publisher : Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/gaset.v1i2.253

Abstract

This paper presents the design, implementation, and experimental performance evaluation of an IoT-based real-time patient monitoring system using heart rate and GPS data. The proposed system integrates a wearable pulse sensor and GPS module with a Wi-Fi-enabled microcontroller to continuously transmit physiological and location data to a cloud-based monitoring platform. Real-world experiments were conducted under varying network traffic conditions to evaluate key Quality of Service (QoS) parameters, including throughput, end-to-end delay, and packet loss. The experimental results show that the system performs reliably under low to moderate traffic loads, achieving stable throughput with average delay below acceptable real-time thresholds and negligible packet loss. However, as network traffic increases, delay rises significantly and packet loss becomes more pronounced, particularly when buffer capacity is limited. Comparative testing with different buffer configurations demonstrates that larger buffers improve data reliability by reducing packet loss, but at the cost of increased latency. Furthermore, the system successfully delivers real-time heart rate and location data with high accuracy, demonstrating its applicability for remote healthcare monitoring. The results validate that maintaining operation within a controlled traffic region is essential to ensure optimal QoS. This study provides practical insights into the deployment of IoT healthcare systems, emphasizing the importance of balancing latency, reliability, and network resource constraints in real-world environments.