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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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Implementation of Vibration Sensor and Pin Lock using Keypad for Charity Box Security Ilham, Dirja Nur; Candra, Rudi Arif; Budiansyah, Arie; Sipahutar, Erwinsyah; Harahap, Muhammad Khoiruddin; Anugreni, Fera
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 1 (2023): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v1i2.2050

Abstract

Security is a state in which people or things feel safe from ominous or unsettling hazards, which will then cause them to feel at ease and comfortable. There are many ways to achieve security, one of which is via utilizing and deploying technology. The use of security technology has advanced quickly in recent years, from low-tech to high-tech techniques. By using Arduino as a circuit controller to process input from a vibrating sensor and 4x4 keypad, output to a solenoid as a charity box lock, and a buzzer that serves as an alarm in case of theft, technological or automated methods can reduce charity box theft and also increase the security of charity box locks. The charity box security system tool is made to prevent the theft of charity boxes, which frequently happens in mosques. If someone tries to steal the charity box, an alarm will go off, and you need a pin that has been programmed on an Arduino Ide and stored in EEPROM to open the charity box cover, so this tool can stop charity box theft in mosques.
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.
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.
Design and Implementation of an IEEE 802.11 Signal Quality Monitoring Device Using an OLED Display Desnalita Ananda; Rudi Arif Candra; Depi Ginting; Arie Budiansyah; T. Sukma Achriadi
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.v1i2.250

Abstract

Wireless communication based on the IEEE 802.11 standard is widely implemented in Internet of Things (IoT) and wireless network systems. The performance of such systems is strongly affected by signal quality, which directly influences connection stability, data transmission reliability, and latency. This study presents the design and implementation of a portable device for monitoring IEEE 802.11 signal quality using an OLED display. The proposed system is built on an ESP8266/ESP32 microcontroller with an integrated Wi-Fi module, enabling real-time measurement of the Received Signal Strength Indicator (RSSI) from the connected access point. The measured RSSI values are processed and converted into signal quality percentages and classified into qualitative levels, namely excellent, good, fair, and poor. The monitoring results, including SSID, RSSI value, signal quality level, connection status, and IP address, are displayed on a 0.96-inch OLED screen. Experimental testing was conducted under various conditions, including different distances from the access point and the presence of physical obstacles. The results demonstrate that the device is capable of providing accurate and stable signal quality information in real time. The developed system offers a low-cost, portable, and practical solution for wireless network performance evaluation and is suitable for educational purposes, network diagnostics, and IoT deployment analysis.
Optimization of Computer Network Performance through Traffic Management and Bandwidth Allocation Dirja Nur Ilham; Muhammad Khoiruddin Harahap; Muhammed Saat Talib; Arie Budiansyah; Rudi Arif Candra
PERFECT: Journal of Smart Algorithms Vol. 3 No. 1 (2026): PERFECT: Journal of Smart Algorithms, Article Research January 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v3i1.243

Abstract

Computer network performance is highly dependent on effective traffic management and proper bandwidth allocation, especially in network environments with a large number of users and diverse service demands. Uneven bandwidth distribution often leads to degraded service quality, including low throughput, high delay, and increased packet loss. This study aims to analyze and optimize computer network performance through the implementation of traffic management and bandwidth allocation using the Simple Queue and Queue Tree methods on a MikroTik router. An experimental research approach was employed by comparing network performance before and after the application of bandwidth management mechanisms. The evaluation was conducted based on Quality of Service (QoS) parameters, namely throughput, delay, and packet loss, in accordance with the TIPHON standard. The experimental results indicate a significant improvement in network performance after the implementation of Simple Queue and Queue Tree. Throughput increased substantially, while delay and packet loss were considerably reduced, resulting in improved service quality categories. The Simple Queue method effectively ensured fair bandwidth distribution among users by limiting per-user bandwidth usage, whereas the Queue Tree method enhanced performance by prioritizing network traffic based on service types. The combination of these methods successfully minimized bandwidth monopolization, reduced network congestion, and improved overall network stability. Therefore, the implementation of Simple Queue and Queue Tree proves to be an effective solution for optimizing bandwidth utilization and enhancing Quality of Service in computer networks with high user density and heterogeneous traffic characteristics.
Design and Implementation of an IoT-Based Dust Exposure Monitoring System for Marble Cutting Activities in Campus Environment Rudi Arif Candra; Depi Ginting; Dirja Nur Ilham; Arie Budiansyah; Erwinsyah Sipahutar
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.
Detection of DNS Spoofing Attacks on Campus Networks Using LightGBM with Hybrid Feature Selection (SelectKBest + SHAP) Arie Budiansyah; Rudi Arif Candra; Dirja Nur Ilham; Alim Misbullah
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5962

Abstract

This study investigates the detection of Domain Name System over HTTPS (DoH) spoofing attacks utilizing the CIRA-CIC-DoHBrw-2020 dataset, which encompasses over 100,000 labeled DNS records categorized as either normal or malicious. Features such as packet timing, packet size, and TLS parameters are utilized for detection purposes. A systematic feature selection process is conducted utilizing the Elbow and Kneedle methods based on F-Score values derived from a built-in model evaluation. This method ensures that the top features are selected objectively and quantitatively, thereby enhancing the robustness of the model. The model is trained using the five most significant features, yielding exceptional performance metrics: a training time of just 0.5727 seconds, an inference time of 0.0157 seconds, and an inference latency of 0.0035 milliseconds per sample. Moreover, the model delivers an outstanding accuracy of 0.9995, an F1-Score of 0.9995, and an AUC-ROC of 1.0000, reflecting near-perfect detection capabilities. The classification report reveals a balanced distribution of precision, recall, and F1-Scores of 1.00 across both normal and malicious classes, based on a test sample of 14,974 entries. The Elbow plot visually confirms the optimal number of features utilized, while the SHAP beeswarm plot provides insights into how each selected feature contributes to the model’s predictions, facilitating interpretability. Additionally, the confusion matrix corroborates the model's reliability, showcasing that nearly all samples were accurately classified. The results demonstrate that the proposed methodology significantly enhances the effectiveness of DNS spoofing detection, offering a promising avenue for securing DNS over HTTPS communications.
Design Of Automatic Laptop Cooling System Using Ds18b20 Temperature Sensor Based On Arduino Nano oktrison Oktrison; Erwinsyah Sipahutar; Rudi Arif Candra; Arie Budiansyah
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6073

Abstract

Technological developments in the field of automation provide opportunities to improve efficiency and comfort in the operation of electronic devices. This research aims to design and implement an automatic cooling system on a laptop that uses an Arduino Nano-based DS18B20 temperature sensor. The system is designed to automatically regulate the laptop temperature by monitoring the temperature in real-time, and activating the cooling fan through a relay when the temperature reaches 33°C or more. This research method includes hardware design that involves the use of Arduino Nano as a microcontroller, a DS18B20 temperature sensor to detect temperature changes, and a relay to control the cooling fan. The software was developed using the Arduino programming language (C++) to process the data from the sensors and manage the work of the cooling system automatically. The test results show that the system can accurately detect the laptop temperature and respond in real-time by turning on the cooling fan when the temperature exceeds the 33°C limit. The system proved to be effective in preventing overheating, keeping the device temperature within safe limits, and optimizing power consumption by turning off the fan when the temperature returns to stable.
The Effectiveness of Machine Learning Techniques in Anomaly Detection for Cyberattack Prevention: Systematic Literature Review 2020-2025 Arie Budiansyah; Zulfan Zulfan; Nizamuddin Nizamuddin; Rudi Arif Candra; Dirja Nur Ilham; Nazaruddin Nazaruddin
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6124

Abstract

As digital technology evolves, cyberattacks are becoming more diverse and difficult to detect. Conventional detection methods are often incapable of recognizing new and sophisticated attack patterns. Therefore, machine learning techniques are starting to be widely used because of their ability to study data patterns and detect unusual or anomalous activities. This study aims to systematically examine the effectiveness of various machine learning techniques in detecting anomalies as an effort to prevent cyberattacks. The research was conducted using the Systematic Literature Review (SLR) method on 20 scientific articles from reputable journals published between 2020 and 2025. The articles were selected through a search, selection, and analysis process following PRISMA guidelines. The results of the study show that algorithms such as Random Forest and Decision Tree consistently provide accurate detection results, especially in network systems and the Internet of Things (IoT). Meanwhile, deep learning techniques such as CNN and LSTM show high performance in handling large and complex data. However, challenges are still found in terms of data imbalances, high computing requirements, and lack of model interpretability. The conclusions of this study show that machine learning techniques are very promising for anomaly detection in cybersecurity, but an adaptive and easy-to-explain approach is needed. Researchers are further advised to develop models that are more efficient, transparent, and able to adapt to evolving cyber threats.
IMPLEMENTATION OF A TREE FELLING AGE DETECTION DEVICE USING PIEZOELECTRIC SENSORS IN URBAN FORESTS Ahya Rizki Pratama; Erwinsyah Sipahutar; Rudi Arif Candra; Arie Budiansyah; Dirja Nur Ilham
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.v1i1.51

Abstract

This research aims to develop and implement a tree felling age detection device using piezoelectric sensors in urban forests. Urban forests play an important role in maintaining environmental quality and the well-being of urban communities. Despite the many benefits provided by trees, such as oxygen production and carbon dioxide absorption, the health condition of trees is often difficult to identify visually. Traditional methods of determining tree age, such as dendrochronology, are destructive and time-consuming, so a fast and accurate non-destructive method is needed. Piezoelectric sensors offer the potential for non-destructive detection of tree age by measuring the physical characteristics of trees that change with age, such as wood density, hardness and moisture content. The research involved sensor selection and calibration, data collection from trees in an urban forest, and signal processing and analysis to associate the extracted features with tree age. Test results show that the device can provide real-time tree age estimation, supporting sustainable urban forest management. This research also highlights the importance of integrating sensor technology with a comprehensive urban forest management system for better decision-making regarding tree planting, maintenance and felling.
Co-Authors . Zulfan Ahya Rizki Pratama Alfi Hafizh Alfy Ariswan Alim Misbullah Anugreni, Fera Aritonang, Romulo P. Candra, Rudi Arif Depi Ginting Desnalita Ananda Dina Miftahul Jannah Eka Dodi Suryanto Eri Satria Eri Satria Erwinsyah Sipahutar Erwinsyah Sipahutar Fardiansyah Adami Fardiansyah, Fardiansyah Fauzun Atabiq Firnanda, Ary Ginting, Depi Herry Setiawan Herry Setiawan Ihsan Ihsan Ihsan Ilham, Dirja Nur Irana Dewi M Arinal Ihsan Miswar Papuangan Miza, Khairul Muhammad Khoiruddin Harahap Muhammed Saat Talib Nazaruddin Nazaruddin Nizamuddin Nizamuddin Oktrison Oktrison Oktrison Oktrison Oktrison Pia Rahmadani Putra Andika Putra, Reza Ade Rahmatul Nisa Saputra, Devi Satria Shahrul Shahrul Sipahutar , Erwinsyah Siti Rusdiana Suryadi Suryadi Suryadi T. Sukma Achriadi Taufiq Abdul Gani Zulfan Zulfan