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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Journal of Computer Networks, Architecture and High Performance Computing Brilliance: Research of Artificial Intelligence International Journal of Multidisciplinary Sciences and Arts Majalah Ilmiah METHODA Deli Sains Informatika JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) PERFECT: Journal of Smart Algorithms SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi DCS: Jurnal Pengabdian Masyarakat Global Advances in Science, Engineering & Technology (GASET) Jurnal Teknik Silitek
Ilham, Dirja Nur
Politeknik Aceh Selatan, 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 Medicine & Pharmacology Public Health Social Sciences Other

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Digital Smart Society: Edukasi Bijak Berteknologi Untuk Masyarakat Desa Dirja Nur Ilham; Rudi Arif Candra; Fardiansyah Fardiansyah; 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.v3i2.102

Abstract

Perkembangan teknologi digital yang pesat telah membawa perubahan signifikan dalam kehidupan masyarakat, termasuk di wilayah pedesaan. Namun, rendahnya literasi digital menyebabkan masyarakat desa belum mampu memanfaatkan teknologi secara optimal dan bijak. Oleh karena itu, kegiatan pengabdian masyarakat ini dilakukan dengan tujuan meningkatkan pemahaman dan kesadaran masyarakat dalam menggunakan teknologi secara cerdas, aman, dan produktif. Realisasi kegiatan dilakukan melalui sosialisasi, pelatihan, dan pendampingan terkait penggunaan internet sehat, keamanan digital, serta pemanfaatan teknologi untuk kegiatan ekonomi. Kegiatan dilaksanakan secara langsung dengan melibatkan masyarakat desa sebagai peserta aktif. Hasil kegiatan menunjukkan adanya peningkatan pemahaman masyarakat terhadap risiko teknologi seperti hoaks dan penipuan online, serta meningkatnya kemampuan dalam memanfaatkan media digital untuk kegiatan produktif. Kesimpulan dari kegiatan ini adalah program Digital Smart Society efektif dalam meningkatkan literasi digital masyarakat desa serta mendorong terbentuknya perilaku bijak dalam penggunaan teknologi.
Router as a Data Traffic Controller in Computer Networks Kemala Sukma; Dirja Nur Ilham; Rudi Arif Candra; Amsar Yunan; Ihsan Anwar
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.v3i1.93

Abstract

The rapid development of computer networks has led to an increasing demand for efficient and reliable data traffic management. Network complexity, which involves various devices and communication paths, requires systems capable of controlling data flow optimally. A router is a network device that functions as an inter-network connector and determines the best path for data packet transmission. This article aims to examine the role of routers in managing data traffic in computer networks based on a literature review. The method used is a literature study of scientific articles and reference books related to computer networks and routing technologies. The results show that routers play a vital role in improving network performance, optimizing data delivery, and maintaining network stability and security.
Network Security Analysis in Internet of Things (IoT) Systems Nova Oktapiana; Dirja Nur Ilham; Fardiansyah Fardiansyah; Depi Ginting; Fera Anugreni
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.
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.
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.
DESIGN OF FISH WEIGHT MEASURING INSTRUMENT USING CONVEYOR FOR COASTAL FISHERMEN WITH ARDUINO INTEGRATION Putra Andika; 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.v1i1.58

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) Pia Rahmadani; Rudi Arif Candra; Dina Miftahul Jannah; 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.v1i1.63

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; Dirja Nur Ilham; Rudi Arif Candra; Erwinsyah Sipahutar
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.
Co-Authors . Zulfan Aditya, Vikra Afriani, Dina Afrizal Yuhanef Ahya Rizki Pratama Alfy Ariswan Alim Misbullah Alvira, Mise Amri, Asbahrul Amsar Yunan Amsar, Amsar Anugreni, Fera Anwar, Ihsan Apriyanto, Mulono Arie Budiansyah Atabiq, Fauzun Balkhaya, Balkhaya Bean, Hasbaini Candra, Rudi Arif Depi Ginting Dikky Chandra Dina Afriani Dina Miftahul Jannah 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 Harmayani 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 Kemala Sukma Khairuman Khairuman Man Khairuman, Khairuman Khazanatul Asrar Khusnul Azima Listiyawati Listiyawati Maqfirah Mario di Nardo Miswar Papuangan Miza, Khairul Mohammed Ridha H Alhakeem Mohammed Saad Talib Muhammad Khoiruddin Harahap Muhammed Saat Talib Muharratul Mina Rizky Mureja, Alfin Mursidah Nabilla, Sisri Nazaruddin Nazaruddin Nizamuddin Nizamuddin Nova Oktapiana Nursila Nursila Nursila, Nursila Nurul Hamdi Oktrison Oktrison Oktrison Oktrison, Oktrison Permata, Riski Surya Pia Rahmadani Putra Andika Putra, Reza Ade Rater, Salya Saputra, Devi Satria Sepri Kurniadi Sepri Kurniadi Shahrul Shahrul Sipahutar , Erwinsyah Siti Rusdiana Sri Mulyana sriwahyuni Sriwahyuni Suryadi Suryadi Suryadi T. Sukma Achriadi Sukiman Talib, Mohammed Saad Taufiq Abdul Gani Trismansyah, Trismansyah Urmila, Tasya Wahyu Ariansyah Zulfan Zulfan