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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 Sungkai sudo Jurnal Teknik Informatika Jurnal Nasional Teknologi Komputer Elektriese: Jurnal Sains dan Teknologi Elektro Jurnal Masyarakat Indonesia Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Psikologi dan Kesehatan 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 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

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Analysis Of The Efficiency Of Using Brushless DC Motors On Load And Speed On Electric Motorcycles Erpita Samosir; Dicky Lesmana; Beni Satria
INFOKUM Vol. 13 No. 01 (2025): Infokum
Publisher : Sean Institute

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Abstract

This study examines the efficiency of electric power in BLDC motors as electric motorcycle drivers with various load and speed experiments. Electric motorcycles are one of the vehicles that are in great demand by the public. BLDC motors are the main drivers of electric motorcycles where motor capacity planning includes motor power and torque which greatly affect the acceleration and speed of the motorcycle. Motor capacity planning is obtained by calculating the total weight, the location of the motor's center of gravity, the desired acceleration, tire rolling resistance to asphalt, air resistance and road slope angle. From the calculations and analyses that have been carried out, the required motor power is 2.5 kW. Testing the motor's ability to carry loads is carried out by providing variations in passenger and goods loads of 58 kg, 98 kg and 135 kg, and driven with a target speed of 10 km / h, 20 km / h and 30 km / h.
An Analysis Of Solar Power Plan Optimization With Solar Reflector Angle Variation Based On IOT Selamat Riady Hutasuhut; Solly Aryza; Beni Satria
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i03.2821

Abstract

This study analyzes the optimization of solar power generation by varying the angle of solar reflectors based on the internet of things (iot). The research aims to determine the most effective reflector angle to maximize the efficiency of solar energy absorption in solar power plants. By utilizing iot technology, real-time monitoring and adjustment of the reflector angles can be achieved to enhance energy capture throughout the day. The methodology involves both experimental and simulation approaches to compare different angles under various environmental conditions. The results of the study indicate that optimal reflector angles significantly improve the overall efficiency of solar power generation. This research contributes to the development of more efficient and sustainable solar power systems by leveraging iot for precise and responsive control mechanisms.
Analysis of the Working System of a Carcinogenic Substance Neutralization Device (Smoke/Gas) in Enclosed Space Using an MQ2 Sensor Based on Arduino Uno Nuraprilyani Pasaribu; Beni Satria; Ahmad Dani
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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Air pollution in enclosed spaces, particularly from carcinogenic substances such as smoke and hazardous gases, poses significant health risks. Effective detection and neutralization of these harmful compounds are crucial to ensuring indoor air quality and human safety. This study analysed the working system of a carcinogenic substance neutralization device that utilizes an MQ2 gas sensor and Arduino Uno for real-time monitoring and control. The system is designed to detect the presence of carbon monoxide (CO), liquefied petroleum gas (LPG), smoke, and other harmful gases using the MQ2 sensor. When the sensor detects a gas concentration exceeding a predefined threshold, the Arduino Uno microcontroller triggers an exhaust fan or an air purification mechanism to neutralize the pollutants. The system also features a real-time display and an alarm to alert users of hazardous gas levels. The experimental results indicate that the MQ2 sensor effectively detects gas concentrations with a fast response time. The Arduino-based control system efficiently activates the neutralization process, improving air quality in enclosed spaces. The integration of this system with smart monitoring devices can enhance air pollution management in industrial, residential, and commercial environments. This paper contributes to the development of low-cost, automated air purification systems for enclosed spaces, with potential applications in health safety, environmental protection, and industrial settings. Future research may focus on integrating IoT-based remote monitoring and advanced filtration technologies to enhance the system’s efficiency and adaptability.
A Development IOT Based Real-Time Weather Monitoring System Using NodeMCU ESP32 and BMP280-DHT11 Sensor Beni Satria; Rahmaniar, Rahmaniar; M. Erpandi Dalimunthe; M. Iqbal; Berthauli. S
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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This research aims to develop an Internet of Things (IoT) based weather station using NodeMCU ESP32 microcontroller, BMP280 sensor, and DHT11 sensor. The main problem faced is the lack of weather monitoring system.real timewhich can be accessed remotely to support decision making based on current environmental conditions. To overcome this, this study designed a system that is able to automatically collect temperature, relative humidity, and atmospheric pressure data and transmit it to an online platform via a Wi-Fi connection. The collected data is displayed in graphical form on the application.Blynkto facilitate further analysis. The system testing was conducted for 21 days in Medan City with average air temperature measurements ranging from 29°C to 34°C and relative humidity between 63% and 76%. The preliminary results show that the system has a measurement accuracy of around 95%, with a fast and stable connection to the platformclouddepending on the quality of the internet service provider. This system allows monitoring of weather conditions in real time.real timevia Android or iOS devices, making it easy for users to monitor weather parameters from any location. This research not only proves the implementation of IoT in weather monitoring but also opens up opportunities for further development in environmental monitoring and resource management applications.
Modeling the Effect of Changes in Solar Radiation Rays on Solar Cell Output Using MATLAB/Simulink Ali Akbar Berutu; Ahmad Dani; Beni Satria
INFOKUM Vol. 13 No. 04 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i04.2805

Abstract

The intensity of solar radiation is the main factor that affects the performance of solar cells in generating electrical power. This study modeled the effect of solar radiation changes on the power output of solar panels using Matlab/Simulink, with solar radiation data from Nasa Power for the Tanjung Anom location. The simulation was carried out to measure the output power based on variations in solar radiation intensity and ambient temperature in the effective time range, namely 09.00 to 16.00. The results show that the intensity of solar radiation is directly proportional to the output power of solar panels. At the highest radiation intensity of 620.35 W/m², the maximum power produced reaches 107.6 W, with a voltage of 20.35 V and a current of 5.286 A. On the other hand, at the lowest radiation of 205.61 W/m², the power decreases to 11.94 W. The model successfully illustrates the linear relationship between solar radiation, voltage, current, and output power, and shows the sensitivity of solar panels to changes in environmental parameters. Using MATLAB/Simulink, this model can be used to design and optimize photovoltaic systems according to local conditions. This research makes an important contribution to a deep understanding of the characteristics of solar cells, as well as a reference in the development of more efficient and environmentally friendly solar energy systems.
Automatic Classification System Color Of Bottle Detection Tool Using Tcs3200 Sensor Based On Arduino Mulia Supiadi Silalahi; Solly Aryza; Beni Satria
INFOKUM Vol. 13 No. 02 (2025): Infokum
Publisher : Sean Institute

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Abstract

The increasing demand for automation in industries has led to the development of efficient and cost-effective classification systems. This study focuses on designing and implementing an automatic bottle color classification system using the TCS3200 color sensor, integrated with Arduino microcontroller technology. The system aims to detect and classify bottle colors accurately to streamline industrial processes, such as packaging and sorting. The TCS3200 sensor, capable of detecting a wide spectrum of colors, serves as the primary sensing device. It converts light intensity into frequency signals, which are processed by the Arduino microcontroller to determine the color of the bottle. The classification process involves predefined thresholds for Red, Green, and Blue (RGB) components, allowing the system to categorize bottles into specific color groups. Experimental results demonstrate that the system achieves high accuracy in identifying bottle colors under varying lighting conditions. The system is also highly scalable, making it adaptable to different industrial needs. This research concludes that the proposed solution offers a reliable, efficient, and low-cost alternative for bottle color classification in automated industrial applications.
An Analysis Of Working System Carcinogenic Substance Neutralization Tool (Smoke/Gas) In A Closed Space Using An Arduino Uno-Based MQ3 Sensor Nuraprilyani Pasaribu; Beni Satria; Ahmad Dani
INFOKUM Vol. 13 No. 03 (2025): Infokum
Publisher : Sean Institute

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Abstract

This study aims to analysed the working system of a carcinogenic substance neutralization device for smoke or gas in enclosed spaces, using an MQ3 sensor based on Arduino Uno. Carcinogenic substances in the form of smoke or gas can pose significant health risks, especially in areas with limited air circulation. The device developed in this research utilizes the MQ3 sensor to detect harmful gases, which are then processed through Arduino Uno to automatically activate the neutralization system. The research method involves the design, assembly, and testing of the neutralization system. The MQ3 sensor functions as a detector for hazardous gases at specific concentration levels, sending data to the Arduino Uno, which triggers the activation of a fan and air filter as the neutralization system. Testing was conducted in an enclosed space to evaluate the effectiveness of the system in reducing harmful gas concentrations over a given period. The results indicate that this neutralization device effectively detects and significantly reduces harmful gas concentrations. The MQ3 sensor is highly responsive to changes in gas levels, and the Arduino Uno-based system allows for efficient automated control. With these results, the device is expected to serve as a solution for improving indoor air quality and protecting users from exposure to carcinogenic substances.
Analysis of Reactive Power Compensation Using Static Compensator (STATCOM) Technology in Distribution Networks Juneidi Injos II S; Beni Satria; Solly Aryza
INFOKUM Vol. 13 No. 04 (2025): Infokum
Publisher : Sean Institute

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Abstract

Electricity distribution networks often face efficiency challenges due to uncompensated reactive power, causing power factor degradation, increased power losses, and voltage instability. This study aims to analyze the use of Static Compensator (STATCOM) as a reactive power compensation solution in 20 kV distribution networks, with a focus on improving power factor, reducing power losses, and voltage staability. These challenges are relevant in Indonesia, where growing electricity demand and limited infrastructure exacerbate energy inefficiencies. The research methodology uses a quantitative approach based on simulation in MATLAB/Simulink. A simple distribution network model with one feeder (load 500 kW, 300 kVAR) is created, integrated with a STATCOM with a capacity of 300 kVAR. Simulations are carried out to compare conditions before and after the use of STATCOM at constant and fluctuating loads, measure power factor, power losses, and voltage profiles. The simulation results show that STATCOM improves the power factor from 0.857 to 1.0, reduces power losses by 26.5% (from 425.39 W to 312.50 W), and suppresses voltage drop from 24.51 V to 12.50 V. STATCOM effectively maintains voltage stability under disturbance conditions with a fast response (5-10 ms). However, the high initial cost indicates the need for economic optimization for practical implementation.
Analysis of Measurement Uncertainty in the Calibration of Digital Scales in the Downstream CPO (Crude Palm Oil) Production Unit Bintang Tua Sitohang; Solly Aryza; Beni Satria
INFOKUM Vol. 13 No. 05 (2025): Infokum
Publisher : Sean Institute

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Abstract

Calibration of measuring instruments is an important aspect in ensuring the accu-racy and reliability of industrial production systems, including in the palm oil derivatives (CPO) processing sector. Digital scales play a crucial role in the weighing process of raw materials, semi-finished products, and final products. However, each calibration process is inseparable from measurement uncertainty that can affect the quality of production results. Where this study aims to analyze the level of measurement uncertainty in the calibration process of digital scales used in CPO derivative production units. The research method is carried out by collecting scale reading data with standard loading, calculating type A (statistical) and type B (non-statistical) uncertainties, as well as calculating com-bined uncertainty and expanded uncertainty in accordance with ISO GUM (Guide to the Expression of Uncertainty in Measurement). Thus, the results of the analysis show that the greatest uncertainty comes from the variation in readings (repeatability) and the tol-erance of the standard weights used. The combined uncertainty value obtained is within the range that meets the industrial calibration tolerance limit, but there are recommenda-tions for improving environmental control procedures during calibration to minimize fur-ther deviations.
Performance Analysis of an IoT and Scada-Based Oil Tank Filling Monitoring System Using Omron PLC at PT Pertamina Patra Niaga Meulaboh Ermando Sihombing; Solly Aryza; Beni Satria
INFOKUM Vol. 13 No. 05 (2025): Infokum
Publisher : Sean Institute

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The monitoring and control system in the oil tank filling process plays a crucial role in ensuring efficiency, safety, and accuracy in fuel distribution. This study aims to analyze the implementation of an IoT and SCADA-based monitoring system for oil tank filling using an Omron PLC at PT Pertamina Patra Niaga Meulaboh. The system integrates an Omron Programmable Logic Controller (PLC) as the main control unit, level sensors for real-time tank capacity detection, as well as IoT and Supervisory Control and Data Acquisition (SCADA) for remote monitoring. The research methodology includes system design, implementation, and testing, focusing on data communication reliability, sensor accuracy, and tank filling efficiency. The test results show that the system can monitor oil levels with an accuracy of ±0.5%, and improve operational efficiency by reducing filling errors by up to 20% compared to conventional methods. The implementation of IoT allows operators to access real-time filling data through a web-based dashboard, while SCADA provides more structured control over the filling process. The findings of this study conclude that the integration of IoT and SCADA in a PLC-based tank filling system significantly enhances efficiency, accuracy, and safety in oil filling operations. This technology holds great potential for broader application in the oil and gas industry to improve the effectiveness of fuel distribution systems.
Co-Authors Abdi Santoso Abdullah Muhazzir Abdullah Muhazzir Abdullah Muhazzir Adi Sastra P Tarigan Afandi, Reza Ahmad Daffa Ahmad Dani Ahmad Rizal Nurika Alam, Hermansyah Ali Akbar Berutu Alim Muflih Alprindo Sembiring Meliala Amani Darma Tarigan Amani Darma Trg Apriandi Apriandi Asni Ati Mutia Bahtera Kelana Berthauli S. Berthauli. S Bestari Putra Lase Bintang Tua Sitohang Dalimunthe, Erpandi Dedek Yuhendri Denny Syahputra Dicky Lesmana Dicky Lesmana 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 Timo Bariman M Juneidi Injos II S Kristian Simanjuntak Lubis, Selly Annisa Lungguk Adi Saputra M Iqbal M. Erpandi Dalimunte 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 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 Rakha Zahri Andresna Ramadhan, Aulia 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 Sudomo Colombus Situmorang tarigan, Amani d Tarigan, Amani Darma W, Pristisal Yopi Andinata yulia, Luh Anggreni Zulkarnaen Lubis Zulkarnain Lubis