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Network Security Analysis in Internet of Things (IoT) Systems Oktapiana, Nova; Ilham, Dirja Nur; Fardiansyah, Fardiansyah; Ginting, Depi; Anugreni, Fera
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 1 (2025): 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.v3i1.95

Abstract

The rapid development of the Internet of Things (IoT) has significantly transformed various sectors, including industry, healthcare, smart cities, and agriculture. However, this growth has also increased the complexity and scale of network security vulnerabilities. IoT devices are typically resource-constrained and operate in heterogeneous network environments, making them attractive targets for cyberattacks. This study aims to analyze key network security challenges in IoT systems, evaluate solution technologies proposed in recent literature, and formulate evidence-based recommendations for improving IoT security. The research adopts a Systematic Literature Review (SLR) method by examining ten peer-reviewed articles published between 2020 and 2023 and indexed in IEEE Xplore, SpringerLink, and ACM Digital Library. The results indicate that major IoT security challenges include vulnerabilities in communication protocols, limited computational and energy resources, and the increasing prevalence of attacks such as Distributed Denial of Service (DDoS), spoofing, and ransomware. The most frequently proposed solutions involve machine learning-based anomaly detection, lightweight cryptographic mechanisms, layered security architectures using edge–fog–cloud computing, and blockchain integration to enhance authentication and data integrity. This study concludes that IoT security requires a holistic and multidisciplinary approach that integrates multiple complementary technologies within a unified security framework.
IMPLEMENTATION OF A TREE FELLING AGE DETECTION DEVICE USING PIEZOELECTRIC SENSORS IN URBAN FORESTS Pratama, Ahya Rizki; Sipahutar, Erwinsyah; Candra, Rudi Arif; 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.v1i1.51

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.
DESIGN OF FISH WEIGHT MEASURING INSTRUMENT USING CONVEYOR FOR COASTAL FISHERMEN WITH ARDUINO INTEGRATION Andika, Putra; Sipahutar, Erwinsyah; Candra, Rudi Arif; 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.v1i1.58

Abstract

Indonesia is a country rich in natural resources including marine wealth when viewed from the geographical structure of Indonesia consists of thousands of islands spread from sabang to merauke. From natural conditions like this, the majority of Indonesian people's livelihoods are fishermen after farmers. But the technology used by our fishermen is still lagging behind so that fishermen cannot maximize the potential of Indonesian fisheries. So that applicative development is needed to make it easier for fishermen. In this study, the design of a tool to automatically count the number and weight of fish using an arduino-based load cell sensor was carried out. This automatic counter uses arduino uno as a processor of the data received and uses a load cell sensor as a detector of the number and weight of fish then the resulting output to the LCD. In this design, an hx711 module is also added which functions as a load cell data converter from analog to digital. The test data, the fish is placed on the conveyor belt that runs and is brought into the counter then the sensor will start to detect then give the command to the Arduino then output the results of the data to the LCD.
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 Performance Analysis of a Low-Cost ESP32-Based NAT WiFi Repeater for Indoor IoT Networks Oktrison; Ilham, Dirja Nur; Candra, Rudi Arif; Sipahutar, Erwinsyah
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.v1i2.249

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.
Pemanfaatan Aplikasi ChatGPT dalam Mendukung Dosen Menyusun Artikel Ilmiah di Politeknik Aceh Selatan Dirja Nur Ilham; Rudi Arif Candra; Devi Satria Saputra; Fardiansyah Fardiansyah; Ihsan Anwar; Asbahrul Amri; Sepri Kurniadi
JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Vol 3 No 2 (2026): JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L): Volume 3 Nomor 2,
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jp3l.v3i2.100

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah memberikan dampak signifikan dalam dunia pendidikan, khususnya pada proses penulisan karya ilmiah. Salah satu teknologi yang banyak dimanfaatkan adalah ChatGPT, yaitu aplikasi berbasis AI yang mampu membantu pengguna dalam menghasilkan teks akademik secara cepat, sistematis, dan efisien. Penelitian ini bertujuan untuk menganalisis efektivitas pelatihan penggunaan ChatGPT dalam meningkatkan kemampuan dosen dalam menyusun artikel ilmiah di Politeknik Aceh Selatan. Metode penelitian yang digunakan adalah pendekatan deskriptif dengan pelaksanaan pelatihan selama dua hari yang meliputi penyampaian materi, demonstrasi, serta praktik langsung. Hasil pelatihan menunjukkan adanya peningkatan pemahaman peserta dalam menyusun struktur artikel ilmiah, menulis abstrak, serta mengembangkan ide penelitian. Selain itu, penggunaan ChatGPT juga terbukti mampu meningkatkan efisiensi waktu dalam proses penulisan artikel. Meskipun demikian, penggunaan AI tetap memerlukan pemahaman yang baik terkait etika akademik, termasuk validasi informasi dan pencegahan plagiarisme, agar kualitas dan integritas karya ilmiah tetap terjaga secara optimal.
Analysis of the Advantages and Disadvantages of Using MikroTik in Computer Network Implementation Khazanatul Asrar; Dirja Nur Ilham; Muhammad Khoiruddin Harahap; T. Sukma Achriadi Sukiman; Nurul Hamdi
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.v3i2.97

Abstract

The rapid growth of information technology has increased the demand for reliable, secure, and efficient computer network infrastructures. MikroTik is widely adopted as a cost-effective networking solution, particularly for small to medium-scale networks. This study aims to analyze the advantages and disadvantages of using MikroTik in computer network implementations based on previous empirical studies. This research employs a literature review method by analyzing more than fifteen scientific articles published within the last five years. The reviewed studies focus on bandwidth management, firewall configuration, network security, Quality of Service (QoS), and network monitoring using MikroTik RouterOS. The findings indicate that MikroTik offers several advantages, including flexible configuration, comprehensive RouterOS features, effective bandwidth management, and relatively low implementation costs. However, several limitations were identified, such as configuration complexity, non-optimal default security settings, performance degradation under high traffic loads, and limited scalability for large enterprise networks. With proper configuration and the integration of additional security mechanisms, MikroTik remains an effective and efficient solution for small to medium-scale network implementations.
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.
Performance Evaluation of a Microcontroller-Based Automatic Fish Weighing System Using Load Cell Sensor Dirja Nur Ilham; Muhammad Khoiruddin Harahap; Muhammed Saat Talib; Douglas pardede
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.v3i2.101

Abstract

The rapid advancement of automation technology in the fisheries sector has increased the demand for efficient and accurate fish weight measurement systems. Conventional manual weighing methods are often time-consuming and prone to human error, particularly in high-volume environments. This study aims to evaluate the performance of a microcontroller-based automatic fish weighing system using a load cell sensor with real-time output. The proposed system integrates a load cell sensor with an HX711 amplifier module and an Arduino Uno microcontroller to measure fish weight and display results instantly via an LCD. The performance evaluation focuses on key parameters, including accuracy, measurement error, response time, and system stability. Experimental testing was conducted by comparing prototype measurements with a standard digital scale under various load conditions. The results indicate that the system achieves high accuracy exceeding 98%, with an average error below 2%. The response time ranges between 1–2 seconds, demonstrating the system’s capability for real-time applications. Additionally, the system exhibits good stability with minimal fluctuations in repeated measurements. These findings suggest that the proposed prototype is reliable and efficient for practical use in aquaculture and fish market environments. The system also supports digital transformation in fisheries through improved measurement accuracy, reduced human error, and enhanced operational efficiency.
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.
Co-Authors . Zulfan Aditya, Vikra Afriani, Dina Afrizal Yuhanef Alfy Ariswan Alvira, Mise Amri, Asbahrul Amsar Yunan Amsar, Amsar Andika, Putra Anugreni, Fera Anwar, Ihsan Apriyanto, Mulono Arie Budiansyah Atabiq, Fauzun Balkhaya, Balkhaya Bean, Hasbaini Candra, Rudi Arif Dikky Chandra Dina Afriani Douglas pardede Eri Satria Eri Satria Erwinsyah Sipahutar Erwinsyah Sipahutar Exsa Rava Iwisara Faisal Thaib Fardiansyah Fardiansyah Fardiansyah, Fardiansyah Fauzun Atabiq Firnanda, Ary Ginting, Depi Hardisal, Hardisal Hasbaini, Hasbaini Herma Nugroho Rono Adi Kusumo Herry Setiawan Herry Setiawan Ihsan Ihsan Anwar Ihsan Ihsan Ihsan, M Arinal Imam Hizbullah Irwansyah Irwansyah Jamsan, Firdaus Jannah, Dina Miftahul Khairuman Khairuman Man Khairuman, Khairuman Khazanatul Asrar Khusnul Azima Listiyawati Listiyawati Maqfirah Mario di Nardo Misbullah, Alim Miswar Papuangan Miza, Khairul Mohammed Ridha H Alhakeem Mohammed Saad Talib Muhammad Khoiruddin Harahap Muhammed Saat Talib Muharratul Mina Rizky Mureja, Alfin Mursidah N. Nazaruddin Nabilla, Sisri Nizamuddin Nizamuddin Nursila Nursila Nursila, Nursila Nurul Hamdi Oktapiana, Nova Oktrison Oktrison Oktrison, Oktrison Permata, Riski Surya Pratama, Ahya Rizki Putra, Reza Ade Rahmadani, Pia Rater, Salya Saputra, Devi Satria Sepri Kurniadi Sepri Kurniadi Shahrul Shahrul Sipahutar , Erwinsyah Siti Rusdiana Sri Mulyana sriwahyuni Sriwahyuni Sukma, Kemala Suryadi Suryadi Suryadi T. Sukma Achriadi Sukiman Talib, Mohammed Saad Talib, Muhammed Saat Taufiq Abdul Gani Trismansyah, Trismansyah Urmila, Tasya Wahyu Ariansyah