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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika InComTech: Jurnal Telekomunikasi dan Komputer KOMPUTIKA - Jurnal Sistem Komputer Jurnal Teknik Elektro dan Komputer TRIAC Journal of Appropriate Technology for Community Services SKANIKA: Sistem Komputer dan Teknik Informatika EEICT (Electric, Electronic, Instrumentation, Control, Telecommunication) Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Jurnal Pengabdian Masyarakat Sains dan Teknologi Tensile : Jurnal Pengabdian Kepada Masyarakat Multidisciplinary Indonesian Center Journal Journal Electric Field Green Engineering: Journal of Engineering and Applied Science JURNAL DATA SAINS DAN TEKNOLOGI INFORMASI (DASTIS) Sinergi Teknologi dan Masyarakat (SINTAK-MAS) Computer Architecture and Signal Processing Intelligent Systems and Robotics Cyber Security and Network Management
Hamuda, Hayadi
UNIVERSITAS PAMULANG
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Low Power Microcontroller Based System Design Employing Efficient DSP Algorithms for Smart Cyber Physical Embedded Monitoring Hayadi Hamuda; Novia Permata Atmadja; Rahmadi Asri
Computer Architecture and Signal Processing Vol. 1 No. 1 (2026): March: Computer Architecture and Signal Processing
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/casp.v1i1.33

Abstract

The integration of Digital Signal Processing (DSP) algorithms in low power microcontroller based embedded systems has emerged as a promising solution to optimize energy efficiency without compromising signal accuracy and performance. This study focuses on the design and optimization of DSP algorithms specifically for microcontrollers, aimed at achieving real-time, reliable monitoring for applications such as healthcare, environmental sensing, and IoT devices. The research highlights the system's ability to handle complex signal processing tasks while maintaining low power consumption, ensuring long-term, continuous operation in remote or battery-powered environments. The system employs various techniques, including advanced power management strategies such as dynamic voltage scaling (DVS) and adaptive voltage scaling (AVS), along with lightweight AI algorithms and model pruning, to minimize energy use. The results show significant reductions in power consumption compared to traditional systems, particularly during continuous monitoring tasks. Despite this, the optimized DSP algorithms maintain or even enhance signal accuracy, ensuring that critical monitoring data remains reliable. Furthermore, the system demonstrates robust performance and reliability over extended periods, making it suitable for long-term deployment in critical applications such as wearable medical devices and industrial sensors. This research provides a foundation for the development of future low power embedded systems, emphasizing the importance of DSP-aware optimization in achieving energy-efficient and high-performance monitoring. Future improvements may include advanced AI-driven power optimization techniques, enhanced scalability, and cross-domain interoperability, ensuring that these systems can be effectively deployed across diverse applications, from healthcare to environmental monitoring.
A Hybrid NeuralSymbolic Approach for Human Robot Interaction Enhancement Using Multimodal Sensor Fusion and Context Aware Behavioral Adaptation Techniques Setyawan Wibisono; Hayadi Hamuda; Encik Yoega Renaldi
Intelligent Systems and Robotics Vol. 1 No. 1 (2026): February: Intelligent Systems and Robotics
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/isr.v1i1.35

Abstract

Human–Robot Interaction (HRI) systems increasingly rely on data-driven approaches to interpret multimodal sensory inputs and support natural interaction. However, purely neural-based HRI models often suffer from limited interpretability and insufficient context-aware decision-making, which can reduce user trust and adaptability in dynamic interaction scenarios. To address these limitations, this study proposes a hybrid neural–symbolic HRI framework that integrates multimodal neural perception with explicit symbolic reasoning for adaptive and interpretable robot behavior. The proposed system combines deep neural networks for processing visual, speech, and gesture inputs with a rule-based symbolic reasoning layer that models interaction context, user states, and behavioral constraints. A loosely coupled integration strategy enables neural outputs to be transformed into symbolic representations, allowing logical inference to guide action selection while preserving perceptual accuracy. The framework was evaluated through controlled HRI experiments comparing a neural-only baseline with the proposed hybrid configuration across multiple interaction scenarios. Experimental results demonstrate that the hybrid neural–symbolic system significantly improves interaction accuracy, contextual responsiveness, and user satisfaction, while achieving substantial gains in interpretability. These findings indicate that symbolic reasoning effectively complements neural perception by enhancing transparency and context-aware adaptation without compromising performance. The study concludes that hybrid neural–symbolic architectures provide a promising foundation for developing trustworthy, adaptive, and human-centered HRI systems.
Development of an Intelligent Embedded Cyber Physical System Integrating Edge AI and Low Power Sensor Networks for Adaptive Environmental Monitoring and Robotic Control Hayadi Hamuda; Sarah Anjani; Lailatun Adzimah
Intelligent Systems and Robotics Vol. 1 No. 1 (2026): February: Intelligent Systems and Robotics
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/isr.v1i1.40

Abstract

Recent advancements in environmental monitoring and robotic control demand systems that are capable of real-time responsiveness, energy efficiency, and reliable operation in dynamic and resource-constrained environments. Conventional cloud-centric cyber-physical system (CPS) architectures often suffer from high latency, continuous connectivity dependency, and increased energy consumption, limiting their suitability for time-critical monitoring and adaptive control applications. To address these challenges, this study proposes an intelligent embedded cyber-physical system integrating Edge AI, low-power sensor networks, and adaptive robotic control for environmental monitoring. The proposed architecture relocates data processing and decision-making closer to the data source, enabling real-time inference, reduced communication overhead, and enhanced system autonomy. The research adopts a design-oriented experimental methodology involving system architecture design, lightweight Edge AI model development, prototype implementation, and performance evaluation under realistic operating conditions. Experimental results demonstrate that the proposed edge-based CPS significantly reduces end-to-end latency and energy consumption while maintaining acceptable inference accuracy compared to cloud-based processing. Furthermore, the system achieves improved communication efficiency and higher operational reliability, particularly under intermittent network connectivity. The findings highlight that embedding intelligence at the edge enables closed-loop sensing, decision-making, and actuation, which is essential for adaptive robotic control in environmental monitoring scenarios. This study contributes a system-level perspective on Edge AI–enabled CPS design and provides empirical evidence supporting the transition from cloud-centric architectures toward distributed, energy-aware, and resilient cyber-physical systems for real-time monitoring and control applications.
Secure Cloud Native Microservices Architecture with Zero Trust Network Access Controls and Multi Layered Encryption for Resilient Distributed Systems Lukman Medriavin Silalahi; Imelda Uli Vistalina Simanjuntak; Hayadi Hamuda; Irfan Kampono; Agus Dendi Rochendi; Abdul Hamid
Cyber Security and Network Management Vol. 1 No. 1 (2026): February: Cyber Security and Network Management
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/cybernet.v1i1.14

Abstract

The increasing adoption of cloud native microservices has brought about significant improvements in scalability, flexibility, and resilience. However, these advancements also introduce substantial security challenges, particularly in distributed environments where traditional perimeter-based security models prove inadequate. This paper proposes a secure architecture for cloud native microservices that integrates Zero trust Network Access (ZTNA) and multi layered encryption techniques to address these security concerns. The architecture operates on the principle of "never trust, always verify," ensuring that access to resources is strictly controlled and continuously monitored. By incorporating multi layered encryption methods such as RSA and AES, the architecture ensures data protection both in transit and at rest, significantly reducing the risk of data breaches and unauthorized access. Through experimental evaluations, the proposed architecture demonstrated its effectiveness in preventing lateral movement, mitigating data leakage, and resisting common attack vectors such as man-in-the-middle (MITM) attacks and privilege escalation. Additionally, the performance of the system remained optimal, with minimal overhead despite the additional security layers. The architecture's scalability and robust security mechanisms make it a viable solution for real-world microservices environments, where both security and performance are crucial. This paper discusses the potential impact of this secure architecture on the broader field of distributed system security and offers recommendations for future work, including the integration of advanced machine learning techniques for real-time threat detection and automated responses, as well as the adaptation of the architecture for emerging technologies like edge computing and 6G networks.
MODIFICATION OF TYRE MACHINE SYSTEM WITH MITSUBISHI PLC AUTOMATIC FOOT LENGTH GAUGE Hayadi Hamuda; Taufik Iqbal Miftaks; Lailatun Adzimah; Encik Yoega Renaldi; Muhammad Riza Syahputra; Novia Permata Atmadja
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.1919

Abstract

One of the steps in the tyre manufacturing process is the Tyre Building Machine. The tread is the last component to be fitted to the tyre carcass after all other components have been installed. When measuring the length of the pre-adjusted tread, errors or variations often occur in the measurements taken by the measuring device due to its lack of accuracy. This prevents operators from using the tyre tread and can result in a large amount of scrap and wasted time during the tyre manufacturing process. To overcome this problem, a redesigned tread length measurement system with a higher level of accuracy was created to minimise tread length fluctuations during tyre manufacturing. The results of the tread length measurement procedure using the ENC-1-1-24-N type rotary encoder can function according to the program created. This is validated by the tread length measurement data. The results of the HMI display design and the software created can operate according to the desired instructions. To change the tread length, the operator only needs to enter the number on the HMI panel.
Design of an Autonomous Solar Powered Smart Aquaculture Monitoring System for Energy Efficiency and Environmental Impact Reduction Lukman Medriavin Silalahi; Safrizal Safrizal; Erick Fernando; Hayadi Hamuda; Ribut Julianto; Yuanita Sinatrya
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 2 (2025): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i2.286

Abstract

Aquaculture is a vital sector in global food production, providing essential protein sources. However, the industry faces significant challenges, including high energy consumption and environmental impact. The integration of renewable energy, particularly solar power, with automation and IoT systems offers a promising solution to enhance energy efficiency, sustainability, and productivity in aquaculture operations. This study aims to evaluate the effectiveness of solar powered autonomous systems in reducing energy usage, improving operational efficiency, and promoting environmental sustainability in aquaculture. Literature Review: Recent research has explored various technologies, such as Digital Twins (DTs) and Precision Fish Farming (PFF), which integrate IoT sensors for real time monitoring and optimization of fish farming operations. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, has further advanced the industry by enabling automated decision making and predictive analytics. Solar power integration with IoT systems has been shown to significantly reduce operational costs, minimize carbon emissions, and enhance the sustainability of aquaculture practices. These advancements have the potential to address the challenges of energy consumption and environmental degradation in the industry. Materials and Method: This research utilizes a hybrid solar powered IoT system for aquaculture, integrating solar panels, IoT sensors, and automated control systems. The system monitors key water quality parameters, such as pH, dissolved oxygen, turbidity, and temperature, to maintain optimal conditions for aquatic life. Data is collected through IoT sensors and analyzed through a cloud-based platform. A pilot study is conducted on a small scale aquaculture farm to evaluate the system's performance, including energy consumption, water quality management, and fish health. Energy savings, operational efficiency, and environmental impact are assessed. Results and Discussion: The integration of solar powered IoT systems significantly reduced energy consumption compared to traditional systems, with a notable decrease in grid electricity reliance. The system successfully maintained optimal water quality conditions, enhancing fish health and growth. Solar powered systems proved reliable, even in regions with variable sunlight, and demonstrated improvements in operational efficiency through automation. The environmental benefits were evident, with a reduction in carbon emissions and lower operational costs. The study highlights the feasibility of solar powered IoT systems as a sustainable solution for modern aquaculture operations.
Integration of Cameras and IoT for Parking Capacity Management Using the YOLOv8 Algorithm HAYADI HAMUDA; ANJAR SETIAWAN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 3: Published July 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i3.405

Abstract

Parking management in the mosque environment still faces challenges because vehicles are not being monitored properly. This research develops a parking capacity monitoring system based on cameras and the Internet of Things (IoT) using the YOLOv8 algorithm to automatically detect vehicles. The system is built with Python and digital image processing to detect vehicles entering and exiting. Parking capacity information is displayed in real-time thru a 20x4 I2C LCD and a web interface, and is stored in the Firebase Realtime Database. Testing using the black-box method shows that the system runs well, while the System Usability Scale (SUS) evaluation received a score of 90, categorized as very good. The vehicle detection results achieved an accuracy of 66.67% under optimal lighting conditions. This system is expected to help make mosque parking management more effective and efficient.
Implementasi Simulasi Smart Antenna WiMAX 802.16D/E Berbasis Algoritma FIFO Hayadi Hamuda
EEICT (Electric, Electronic, Instrumentation, Control, Telecommunication) Vol 9 No 1 (2026)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/eeict.v9i1.23080

Abstract

Teknologi broadband nirkabel yang banyak digunakan menawarkan jangkauan luas dan berfungsi secara efisien Algoritma First-In, First-Out (FIFO pemrosesan dan pengambilan data. Hal ini berarti bahwa data yang diterima pertama kali adalah yang diproses terlebih dahulu pada dasarnya, data diproses sesuai urutan kedatangannya. Pada penelitian ini dirancangn sebuah traffic control jaringan untuk mengatur aliran data, dengan mengintegrasikan empat skenario setiap standar, serta memanfaatkan perangkat lunak simulasi OPNET 14.5 di wilayah studi yang ditentukan. Posisi geografis pengguna individu ditentukan berdasarkan kepadatan penduduk di setiap kecamatan dengan simulasi, analisis parameter Kualitas Layanan (QoS) pada penundaan, jitter, throughput, dan kehilangan paket dilakukan sesuai dengan standar TIPHON (Telecommunications and Internet Protocol Harmonisation Over Network), fokus pada suara, video, dan HTTP sebagai entitas yang dievaluasi untuk layanan video menunjukkan latensi yang kurang optimal dan kehilangan paket yang signifikan, di atas 25% sekitar 150 ms secara konsisten, disertai dengan kehilangan paket yang sangat kecil beroperasi secara efisien berkat kinerja latensi yang unggul
Sistem Monitoring Suhu Kandang Penetas Telur Menggunakan Arduino Berbasis Telegram Pada SMAN 16 Kab. Tangerang Hamuda, Hayadi; Setiawan, Anjar
Journal of Appropriate Technology for Community Services Vol. 7 No. 2 (2026)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jattec.vol7.iss2.art9

Abstract

Stabilitas suhu merupakan faktor penting dalam menjaga kesehatan ayam petelur dan keberhasilan proses penetasan telur. Fluktuasi suhu dapat menyebabkan stres pada unggas dan menurunkan produktivitas. Kegiatan ini bertujuan mengembangkan sistem pengaturan suhu kandang dan penetasan telur berbasis Arduino ESP32 yang terintegrasi dengan Telegram dan LCD 16x2 di SMA Negeri 16 Kabupaten Tangerang. Sistem menggunakan sensor DS18B20 dan DHT22 untuk memantau suhu secara real-time, kemudian mengendalikan kipas atau pemanas melalui modul relai guna mempertahankan suhu pada rentang optimal. Metode yang digunakan meliputi perancangan, implementasi, dan pengujian sistem. Hasil Kegiatan menunjukkan bahwa sistem mampu memantau dan mengendalikan suhu secara otomatis dengan baik, meningkatkan efisiensi pengelolaan kandang, serta mengurangi kebutuhan pemantauan manual. Selain mendukung produktivitas peternakan, sistem ini juga menjadi media pembelajaran berbasis Internet of Things (IoT) bagi siswa. Hasil Kegiatan menunjukkan bahwa teknologi yang dikembangkan berpotensi menjadi solusi cerdas dan inovatif untuk pengelolaan peternakan modern.
INTEGRASI SISTEM KEAMANAN RUMAH PINTAR BERBASIS ESP32-CAM DAN SENSOR PIR DENGAN NOTIFIKASI REAL-TIME MELALUI WHATSAPP BOT Hayadi Hamuda; Anjar Setiawan
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 2 (2025): Jurnal SKANIKA Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i2.3387

Abstract

A smart home is a system that basically consists of intelligent elements that are interconnected and integrated with each other through the use of internet networks based on the Internet of Things. Today, smart home technology has been utilised in various rooms in contemporary homes. Several components, such as the ESP32-Cam microcontroller, of these smart home devices are installed in the room and include a motion sensor or PIR (Passive Infrared Receiver), buzzer, and WhatsApp notification software. When motion or activity is detected in the room, the components connected and integrated with the internet network will send notifications to a laptop or WhatsApp messaging programme in the form of text and photos. The results of tool testing and overall system testing data show that the PIR sensor can detect motion at a distance of 1 to 3 metres marked by the activation of the buzzer and the appearance of WhatsApp messages with an average delay of 1 to 3 seconds. Experiments were also carried out based on the length of the 5-pin USB cable, and the results showed that the length of the cable affected the delay in sending WhatsApp notifications in addition to wifi or internet connection. WhatsApp notifications take longer to send the longer the cable is. By using this smart home appliance, home dependability and security can be improved.
Co-Authors Abdul Hamid Aditiameri Aditiameri Agus Dendi Rochendi Anjar Setiawan Anjar Setiawan Anjar Setiawan Cahyono Budy Santoso Chaerul Anwar dedi irawan Encik Yoega Renaldi Encik Yoega Renaldi Erick Fernando Fauzan Dika Firdaus, Muhammad Fauzi Imelda Uli Vistalina Simanjuntak Irfan Kampono Julianto, Ribut Lailatun Adzimah Lailatun Adzimah Layli Ana Listiana Satiawati Lukman Medriavin Silalahi Lukman Medriavin Silalahi Lukman Medriavin Silalahi Muhammad Fauzi Firdaus Muhammad Riza Syahputra Novia Permata Atmadja Rahmadi Asri Safrizal Safrizal Salma Nofri Yanti Saputra, Yanto Sarah Anjani Setyawan Wibisono Suhendi, Agus Sumihar M.L. Tobing Susilistia Agustini, Eneng Taufik Iqbal Miftaks Teddy Mohamad Darajat Yuanita Sinatrya Yunus Widjaja