Article Per Year (5 Year)
p-Index From 2021 - 2026
10.186
P-Index
This Author published in this journals
All Journal JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE JET (Journal of Electrical Technology) Unes Law Review INFOKUM Jurnal Scientia Instal : Jurnal Komputer International Journal of Educational Review, Law And Social Sciences (IJERLAS) Jurnal Ekonomi Jurnal Info Sains : Informatika dan Sains Sungkai sudo Jurnal Teknik Informatika Jurnal Nasional Teknologi Komputer Elektriese: Jurnal Sains dan Teknologi Elektro Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Masyarakat Indonesia Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Psikologi dan Kesehatan Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Journal of Artificial Intelligence and Digital Business Journal of General Education Science Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) International Journal of Economic, Technology and Social Sciences (Injects) Buletin Utama Teknik Power Elektronik : Jurnal Orang Elektro International Journal of Society and Law Jurnal Pengabdian Masyarakat Berdampak Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Beni Satria
Universitas Pembangunan Panca Budi, Medan, North Sumatera, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 89 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 89 Documents
Search

 5   6   7   8   9 
Pengembangan Sistem Pendeteksi Kantuk Pengemudi Berbasis Arduino Nano Dan Sensor Eye Blink Jon Pranki Manik; Beni Satria; Hamdani
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Driving safety has become a crucial issue in Indonesia due to the high number of traffic accidents caused by driver fatigue, particularly drowsiness that triggers microsleep and temporary loss of consciousness. This study aims to develop a driver drowsiness detection system based on Arduino Nano and infrared eye blink sensor that detects drowsiness indicators through blink frequency and duration, evaluates the effectiveness of early warnings via buzzer, and identifies technical constraints to enhance reliability in driving simulations. The research method employs a research and development approach with an experimental design, involving 15 participants aged 19-25 years tested in normal conditions and drowsiness simulations for 30 minutes per session, with data collection through eye blink sensor, Arduino Nano, and subjective validation using the Karolinska Sleepiness Scale. Testing shows the system achieves a microsleep detection accuracy of 98% based on eye closure duration exceeding 500 ms and 96% accuracy based on blink frequency below 12 times per minute, with an average response time of 178 ms until buzzer activation, thus capable of providing early warnings before full microsleep occurs. The implications of this research offer a portable, low-cost solution without reliance on complex infrastructure for mitigating accident risks in developing countries, although it still requires optimization against environmental variations such as lighting and head movements for real-world applications on the road.
Analisis Potensi Energi Listrik Tenaga Surya Atap Pada Gedung PT.WNS Menggunakan Software Helioscope Dymas Halim; Ahmad Dani; Beni Satria
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of rooftop solar power plants is one of the strategic solutions to support the energy transition and increase use of renewable energy in the industrial sector. This study aims to analyze the potential and performance of rooftop solar power plants at PT. Waruna Nusa Sentana building located in Medan City, North Sumatra, using a simulation approach based on HelioScope software. The analysis was carried out by utilizing Typical Meteorological Year weather data and technical parameters of the Photovoltaic (PV) system designed according geographical conditions and tropical climate of the study location. simulation results show that rooftop solar power system with an installed capacity of 47.36 kWp is capable of producing 66,699 kWh of annual electrical energy with a specific yield of 1,408.3 kWh/kWp/year. The system performance evaluation resulted in a performance ratio of 80.2%, indicating that the rooftop solar power system works efficiently and is in the good performance category for tropical regions. Loss analysis indicates that the largest energy losses come from the effects of cell temperature, followed by losses due to module mismatch, reflection, and losses in the inverter and AC system. Manual calculations performed as analytical verification demonstrated consistency with the simulation results, thus strengthening the validity of the approach used. This study demonstrates that the implementation of rooftop solar power plants in industrial buildings in Medan City is technically feasible and can be used as a reference in the planning and development of rooftop solar power plants in tropical regions with similar climate characteristics
Perancangan Sistem Monitoring Tegangan, Arus Dan Frekuensi Pada Pembangkit Listrik Tenaga Mikrohidro Berbasis IoT Yohanes P Simanjuntak; Beni Satria; Amani Darma Tarigan
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Hydropower plants (PLTA) remain the largest contributor to renewable energy generation capacity in Indonesia. As of October 2025, renewable energy generation capacity was recorded at 15,446.85 MW, with hydro contributing 6,539.17 MW and micro-hydro contributing 976.18 MW. Many micro-hydro locations operate in areas with limited access, so routine generator output checks are still often carried out through periodic visits to the location. Field observations reported in previous studies show that output conditions can fluctuate widely when there are load changes, including voltages from 160 V to 235 V and frequencies from 44 Hz to 51 Hz, which can potentially affect service quality and equipment operation. This study designed and implemented an Internet of Things (IoT)-based monitoring system to measure and report generator output voltage, load current, and frequency in real-time. The prototype integrates an ESP32 microcontroller, an AC energy measurement module, a local LCD display, and a cloud dashboard for remote visualization and time-stamped logging. The polling and transmission processes in the firmware are configured with a 5-second sampling interval to capture the dynamics caused by load changes while maintaining stable data delivery. Performance evaluation includes calibration against reference instruments, measurement of data update latency from acquisition to display on the dashboard, and tracking of transmission reliability through upload outcomes. The results of the study demonstrate a practical monitoring architecture, improve data availability for operators, and support operational decision-making without relying on frequent site visits.
Rancangan Sistem Monitoring Dan Pengaturan Energi Listrik Menggunakan Jaringan Internet Berbasis NODEMCU M. Fiqri Haikal; Hamdani; Beni Satria
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As more and more people use electricity, we need a good way to monitor how much energy is being used in real-time. The goal of this study is to create and implement a system that can monitor how much power is being used in a room. The system will use a NodeMCU microcontroller and a YHDC SCT-013-000 current sensor, and the MQTT protocol will be used to send data. Current sensors measure the electric current in the power source. The NodeMCU then processes this information and sends it via WiFi to the server, where it is displayed on the monitoring application. This study uses hardware design, software design, and system testing methodologies to assess the performance and accuracy of the sensors used. When the device is turned off, the YHDC SCT-013-000 current sensor can read the electric current with a difference of 0.03 Amper. When the device is turned on, it can detect a current with a difference of 0.17 Amperes compared to a clamp multimeter. The system also connects to a WiFi network and provides data to the server using the MQTT protocol. This makes it possible to see how much electricity is being used in real-time through websites and apps. So, the built system can be used to monitor how much electricity is consumed in an easier, more efficient, and more useful way
Studi Pengendalian Aliran Daya Pada Jaringan Listrik Tenaga Surya Terintegrasi Menggunakan Model Predictive Control Raihan Fahrezi; Hamdani; Beni Satria
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The global energy transition towards sustainable sources has driven massive integration of Solar Power Plants (PLTS) into electricity systems, yet their intermittent nature presents significant operational challenges, particularly in low-voltage distribution networks. This research investigates the application of Model Predictive Control (MPC) for optimal power flow management in a 220V electrical network integrated with photovoltaic generation. The study addresses two main problems: designing an effective MPC strategy to control active and reactive power flow against solar irradiance variability, and quantitatively evaluating its performance compared to conventional Proportional-Integral (PI) control. Using MATLAB/Simulink simulation, a radial 5-bus 220V distribution network model with 10 kVA PV capacity was developed. The MPC algorithm was implemented with a prediction horizon of 15 steps, control horizon of 5 steps, and 1-second sampling time, optimizing voltage regulation and power loss minimization while respecting system constraints. Simulation results across three operational scenarios—irradiance step change, load variation, and combined disturbance—demonstrated MPC's superior performance. Specifically, MPC maintained voltage within ANSI C84.1 limits (±5%) with a Voltage Regulation Index of 0.021-0.025, achieved faster recovery times (8-12 seconds versus 18-25 seconds for PI), and reduced total power losses by 15-18%. The anticipatory control capability of MPC effectively mitigated voltage deviations caused by rapid irradiance fluctuations and load changes. These findings confirm that MPC offers a robust, proactive solution for enhancing stability and efficiency in low-voltage distribution networks with high solar penetration. The research contributes to renewable energy integration literature and provides practical insights for grid operators in managing power quality challenges.
Kendali Kecepatan Motor Induksi Satu Fasa Pompa Submersible Menggunakan Fuzzy Logic Suci Wulan Dari; Beni Satria; Ahmad Dani
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study develops and implements a Fuzzy Logic Controller (FLC) for speed control of single- phase induction motors in submersible pump applications, addressing the critical need for energy-efficient variable speed drives in domestic and small-scale agricultural water systems. Single-phase induction motors are widely used in submersible pumps due to their simplicity and cost-effectiveness, yet conventional constant-speed operation results in significant energy waste under varying load conditions. The research employs both simulation using MATLAB/Simulink and experimental validation with a 0.75 kW motor-pump prototype to evaluate FLC performance against conventional PID controllers. The FLC is designed with seven triangular membership functions for each input (speed error and error rate of change) and output (frequency change), implementing 49 fuzzy rules based on expert knowledge. Experimental results demonstrate that FLC achieves superior performance with 38.58% faster rise time, 40.64% shorter settling time, 61.89% lower overshoot, and 74.49% smaller steady-state error compared to PID across various setpoint speeds. Energy efficiency analysis reveals 12.98% energy savings at 25% load and consistent improvements across all operating conditions, with weighted average efficiency of 67.55% versus 62.70% for PID. The FLC also exhibits excellent robustness under parameter variations, maintaining acceptable performance even with 20% resistance increase and 10% voltage drop. Power quality metrics show 3.45% higher power factor and 27.06% lower current Total Harmonic Distortion. Implementation costs remain identical to PID systems, providing superior performance without additional hardware investment. This research contributes practical solutions for national energy efficiency programs, with potential aggregate savings of hundreds of GWh annually if
Sistem Monitoring Kualitas Air Akuakultur Real-Time Berbasis IoT Menggunakan Sensor pH, Suhu, Dan Kekeruhan Dengan Notifikasi Telegram M. Aryan Syah; Beni Satria; Ahmad Dani
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Aquaculture productivity is highly dependent on maintaining optimal water quality, yet traditional manual monitoring methods are labor-intensive and lack real-time capability. This study addresses this gap by designing and implementing an IoT-based real-time water quality monitoring system specifically for aquaculture, integrating pH, temperature, and turbidity sensors with Telegram notifications. The research and development (R&D) approach was employed to build a prototype system consisting of sensor nodes (ESP32 microcontroller with pH, DS18B20 temperature, and TSW-10TM turbidity sensors), a cloud server for data processing, and a Telegram Bot for instant alerts. System testing evaluated sensor accuracy, data transmission reliability, and notification effectiveness. The results demonstrated that the system performed with high accuracy, showing strong correlation (r > 0.99) with standard measurement tools and an average error below 3%. The data communication proved reliable, achieving a Packet Delivery Ratio (PDR) of 98.7% with an average end-to-end latency of 2.3 seconds. Crucially, the Telegram notification mechanism was 100% effective, delivering all threshold breach alerts with an average latency of only 3.8 seconds. These findings confirm the system's potential as a practical, efficient, and affordable solution for precision aquaculture. It enables continuous monitoring and provides early warnings, empowering farmers to take immediate corrective actions to prevent stock stress and economic losses, thereby contributing to the sustainability of small to medium-scale aquaculture operations in Indonesia.
Optimalisasi Sistem Charging Induktif Electric Vehicle Menggunakan Algoritma PID Berbasis ESP-32 M. Agung Irwansyah; Beni Satria; Ahmad Dani
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The widespread adoption of electric vehicles (EVs) is hindered by the practicality and efficiency of charging infrastructure. Inductive wireless power transfer (WPT) offers a promising alternative, but its output stability is challenged by variations in air-gap distance, magnetic coupling, and load. This research aims to optimize the stability and dynamic response of an inductive EV charging system by implementing a Proportional-Integral-Derivative (PID) control algorithm on an ESP-32 microcontroller. The ESP-32 was selected for its computational capability, built-in Wi-Fi/Bluetooth connectivity, and cost-effectiveness. The study employs a laboratory-scale prototype with series-series compensation. A one-group posttest-only design was used, testing nine scenarios combining three air-gap distances (2, 4, 6 cm) and three resistive loads (10, 20, 30 Ω). System performance was evaluated based on steady-state error (SSE) and settling time (t_s). The results show that the PID control significantly reduced the SSE to below 3% across all tested conditions, representing an average error reduction of 89.6% compared to the open-loop system. The settling time for a step load change was 120 ms, demonstrating a fast dynamic recovery. The system also effectively compensated for lateral misalignment. The integrated Wi-Fi module enabled real-time remote monitoring. This study concludes that an ESP-32-based PID controller provides a stable, responsive, and connected control solution for inductive EV charging systems, offering a cost-effective alternative to more complex hardware platforms.
Implementasi Sistem Deteksi Kegagalan Daya Secara Real-Time Berbasis Internet of Things Menggunakan ESP8266 sebagai Web Server Supri Ananda; Ahmad Dani; Beni Satria
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.865

Abstract

Kegagalan daya atau kondisi power off yang tidak terencana pada mesin industri sering kali mengakibatkan kerugian finansial masif dan kerusakan peralatan yang serius. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem deteksi kegagalan daya secara real-time berbasis Internet of Things (IoT) dengan memanfaatkan ESP8266 sebagai Web Server mandiri. Metode penelitian yang digunakan adalah Research and Development (R&D), meliputi perancangan perangkat keras yang mengintegrasikan sensor tegangan, sensor arus ACS712, relay DC, dan motor stepper sebagai simulasi beban dinamis. Sistem ini menerapkan logika "Safe System" dengan ambang batas keamanan kritis sebesar 3,0V. Hasil pengujian membuktikan bahwa sistem mampu melakukan akuisisi data parameter listrik dengan tingkat akurasi mencapai 99% dan latensi rendah melalui protokol HTTP yang menjamin keandalan data 100%. Saat tegangan terdeteksi di bawah 3,0V, mikrokontroler secara instan memutus aliran relay dan menghentikan putaran motor untuk proteksi otomatis. Visualisasi data disajikan secara sinkron melalui LCD I2C dan dashboard web yang menampilkan nilai Voltase (V), Arus (mA), dan Daya (Watt) secara seketika. Kesimpulannya, sistem ini menyediakan solusi pemantauan mandiri yang efektif untuk meminimalkan waktu henti produksi (downtime) dan meningkatkan keandalan manajemen aset industri.
Co-Authors Abda Abda Abdi Santoso Abdullah Muhazzir Abdullah Muhazzir Abdullah Muhazzir Adi Sastra P Tarigan Afandi, Reza Ahmad Daffa Ahmad Dani Ahmad Dhani Ahmad Rizal Nurika Alam, Hermansyah Ali Akbar Berutu Ali, Khairul Alim Muflih Alprindo Sembiring Meliala Amani Darma Tarigan Amani Darma Trg Annisa, Selly Apriandi Apriandi Asni Ati Mutia Bagas saputra Bahtera Kelana Batara Manggala Sianturi Berthauli S. Berthauli. S Bestari Putra Lase Bintang Dwi Cahya Bintang Tua Sitohang Christian Putra Simanungkalit Dalimunthe, Erpandi Dedek Yuhendri Denny Syahputra Dicky Lesmana Dicky Lesmana Dymas Halim Eddy Sutejo, Eddy Edward Bahar Ermando Sihombing Erpandi D Erpandi, M Erpita Samosir Fachry Reza Fitriani, Arifah Devi Gultom, Dedi Harianto Gustiar Martua Siregar Habib Syahputra Banurea Hafiz Al Hakim Nasution Haikal Nando Winata Haikal Nando Winata Haikal Nando Winata Hamdani Hamdani . Hamdani Hamdani Harahap, Juliandi Hermansyah Alam Hermansyah Alam Hermansyah Alam Ismunandar, M. Syuhadawan Jhon Wandes P. Hutagaol Jon Pranki Manik Jon Timo Bariman M Josua Carmel Dopen Purba Junaedi Hutabarat Juneidi Injos II S Kristian Simanjuntak Lungguk Adi Saputra M. Agung Irwansyah M. Aryan Syah M. Erpandi Dalimunte M. Fiqri Haikal M. Iqbal M. Irwansyah M. Syuhadawan Ismunandar Marthin Hotniel Marisi Arigatho Simbolon Maulana, M. Rizky Mery Sri Wahyuni Mery Sri Wahyuni Mery Sri Wahyuni Mhd Erpandi Dalimunthe Muhammad Erpandi Dalimunthe Muhammad Rizki Syahputera Muhammad Rizki Syahputra Mulia Supiadi Silalahi Nawawi, Ikram Novita Delima Siahaan Nugraha Krianto Siregar Nuraprilyani Pasaribu Parlin Siagian Pristisal Wibowo Putra, Bhima Andika Rahmaniar Rahmaniar Rahmaniar Rahmaniar, Rahmaniar RAIHAN FAHREZI Rakha Zahri Andresna Ramadhan, Aulia Ramadhani Ernanda Daulay Redyanto Sidi Ricki Septiando Sinaga Risdawati, Irsyam Rizky Andromedha Persia Roni Afrizal Rudi Saputra S, Bertauli. Sabam Sitorus Samosir, Daniel Junaedi Samuel Sampe Tuah Purba Santiasih, Wayan Ary Selamat Riady Hutasuhut Shilvira, Ayu Sianturi, Barata Mandala Siddik, Muhammad Sidi, Redyanto Simanjorang, Asyiah Siregar, Khusnu Abdillah Siti Suriyatni Sitohang, Theresia Bornito Solly Aryza Stepanus.S, Ronaldo SUCI WULAN DARI Sudomo Colombus Situmorang Supri Ananda tarigan, Amani d Tarigan, Amani Darma W, Pristisal Yohanes P Simanjuntak Yopi Andinata yulia, Luh Anggreni Zulkarnaen Lubis Zulkarnain Lubis