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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Computer Networks, Architecture and High Performance Computing Brilliance: Research of Artificial Intelligence International Journal of Multidisciplinary Sciences and Arts Deli Sains Informatika JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development PERFECT: Journal of Smart Algorithms DCS: Jurnal Pengabdian Masyarakat Global Advances in Science, Engineering & Technology (GASET)
Arie Budiansyah
Universitas Syiah Kuala, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Other

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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.
TreeRTTSys: A Low Cost Sensor To Measure Tree Trunk Quality Using Strain Gauge Sensors Rudi Arif Candra; Dirja Nur Ilham; Arie Budiansyah
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7324

Abstract

Tree health monitoring is essential to ensure environmental safety, sustainability, and the prevention of hazards caused by structurally weakened trees. Visual inspection alone is often insufficient to detect internal defects such as decay or reduced mechanical strength within tree trunks. This study presents the design and implementation of TreeRTTSys, a low-cost sensor-based system for evaluating tree trunk quality using strain gauge and load cell sensors integrated with an Arduino microcontroller. The proposed system aims to measure tensile force characteristics of tree trunks as an indicator of structural integrity and mechanical performance. The experimental method was employed by conducting tensile tests on five different types of tree trunks, namely Meranti, Beringin, Rambutan, Durian, and Kapok. A load cell sensor combined with an HX711 signal conditioning module was used to acquire force data, which were processed and recorded in real time by an Arduino-based data acquisition system. The applied tensile load and resistance duration were analyzed to evaluate the strength and deformation behavior of each wood type. The results show significant variation in tensile strength and load resistance among the tested tree species. Meranti wood exhibited the highest tensile strength of 11.13 kN and the longest resistance time of 151 seconds, indicating superior load-bearing capacity and stability. Rambutan wood demonstrated high ductility, sustaining tensile loading for 149 seconds despite a lower maximum force. In contrast, Kapok and Durian woods showed relatively low tensile resistance and shorter failure durations.These findings confirm that the proposed TreeRTTSys is capable of accurately capturing the mechanical behavior of tree trunks in real time. The system offers a reliable, cost-effective solution for tree health assessment, with potential applications in urban forestry management, environmental monitoring, and preventive safety inspections.
Design and Implementation of an IoT-Based Dust Exposure Monitoring System for Marble Cutting Activities in Campus Environment Candra, Rudi Arif; Ginting, Depi; Ilham, Dirja Nur; Budiansyah, Arie; Sipahutar, Erwinsyah
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 2 (2026): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v3i2.104

Abstract

Marble cutting activities in campus workshop environments generate substantial concentrations of airborne particulate matter, particularly PM2.5 and PM10, which pose serious risks to occupational health and ambient air quality. This study presents the design, implementation, and experimental evaluation of a real-time IoT-based dust exposure monitoring system with emphasis on sensing performance, data reliability, and environmental analysis. The system employs a laser scattering dust sensor (PMS7003) integrated with an ESP8266 microcontroller for data acquisition and edge preprocessing, and utilizes Wi-Fi communication with the MQTT protocol for low-latency data transmission to a cloud-based monitoring platform. Sensor calibration was conducted using linear regression against a reference air quality monitor, resulting in improved measurement accuracy with a coefficient of determination (R²) of 0.96 for PM2.5 and 0.94 for PM10. The system operates with a 5-second sampling interval and applies a moving average filter (window size = 5) to reduce signal noise. Experimental deployment was carried out in a campus marble workshop over a 5-day observation period. Results indicate that during active cutting sessions, PM2.5 concentrations ranged from 85 to 210 µg/m³ and PM10 from 120 to 350 µg/m³, significantly exceeding WHO air quality guidelines (PM2.5: 15 µg/m³, PM10: 45 µg/m³, 24-hour mean). Peak concentrations were observed within the first 10 minutes of operation, followed by gradual dispersion depending on ventilation conditions. Network performance evaluation shows an average transmission latency of 1.8 seconds, packet delivery ratio of 97.2%, and system uptime of 99% over the testing period. Power consumption analysis indicates an average current draw of 82 mA, enabling efficient long-term deployment. The results confirm that the proposed system provides accurate, stable, and high-resolution monitoring of particulate pollution, supporting real-time decision-making for exposure mitigation and smart environmental management in campus settings.
Modeling Validation of Received Signal Strength Indicator (RSSI) Measurements Using ESP8266 Erwinsyah Sipahutar; Oktrison Oktrison; Alfi Hafizh; Rudi Arif Candra; Arie Budiansyah
International Journal of Multidisciplinary Sciences and Arts Vol. 5 No. 2 (2026): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v5i2.8076

Abstract

The rapid proliferation of indoor Internet of Things (IoT) systems has intensified the need for cost-effective and energy-efficient wireless coverage extension solutions. Conventional commercial WiFi repeaters are often over-provisioned in terms of hardware capability and power consumption, making them unsuitable for small-scale IoT laboratories and energy-constrained environments. Although microcontroller-based platforms such as the ESP32 have been widely used for IoT gateways, their systematic evaluation as Network Address Translation (NAT)-based WiFi repeaters remains limited. This paper presents the design, implementation, and experimental performance evaluation of a low-cost ESP32-based NAT WiFi repeater for indoor IoT networks. The proposed architecture operates in dual-mode (Station + Access Point) configuration using a single 2.4 GHz radio interface and software-based NAT forwarding. Hardware optimization, including Bluetooth deactivation and transmission power tuning, is applied to reduce energy overhead. Experimental measurements conducted in an indoor laboratory environment evaluate throughput, latency, received signal strength indicator (RSSI), and power consumption. Results indicate that the proposed system achieves 15–35 Mbps throughput under single-client conditions, with an average latency increase of 3–8 ms compared to direct router connections. The repeater improves signal strength by up to 18 dB in weak-coverage areas, extending effective indoor coverage by approximately 10–20 m. Measured power consumption remains below 1.2 W during active forwarding, significantly lower than typical commercial repeaters. The main contribution of this work lies in providing a quantified energy–performance characterization of a microcontroller-based NAT repeater.
Co-Authors . Zulfan Alfi Hafizh Alfy Ariswan Andika, Putra Anugreni, Fera Aritonang, Romulo P. Candra, Rudi Arif Dewi, Irana Eka Dodi Suryanto Eri Satria Eri Satria Erwinsyah Sipahutar Erwinsyah Sipahutar Fardiansyah Fardiansyah, Fardiansyah Fauzun Atabiq Firnanda, Ary Ginting, Depi Herry Setiawan Herry Setiawan Ihsan Ihsan Ihsan Ihsan, M Arinal Ilham, Dirja Nur Jannah, Dina Miftahul Misbullah, Alim Miswar Papuangan Miza, Khairul Muhammad Khoiruddin Harahap N. Nazaruddin Nisa, Rahmatul Nizamuddin Nizamuddin Oktrison Oktrison Oktrison Oktrison Oktrison, Oktrison Pratama, Ahya Rizki Putra, Reza Ade Rahmadani, Pia Saputra, Devi Satria Shahrul Shahrul Sipahutar , Erwinsyah Siti Rusdiana Suryadi Suryadi Suryadi Talib, Muhammed Saat Taufiq Abdul Gani