Claim Missing Document
Check
Articles

Found 31 Documents
Search

A Systematic Review of Drone Development and Innovation Helps Handling during a Pandemic and Its Challenges for Health Technology Hapsari, Anindya Ananda; Vresdian, Devan Junesco; Dionova, Brainvendra Widi; Zuhriyah, Halimatuz; Pratama, Legenda Prameswono; Islami, Agnemas Yusoep
Jurnal Teknologi dan Manajemen Vol. 22 No. 2 (2024): JURNAL TEKNOLOGI DAN MANAJEMEN (AUGUST)
Publisher : Politeknik STMI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52330/jtm.v22i2.246

Abstract

Abstract—These technological advances make researchers around the world develop many new things to support the harmony of life. Humans think a lot, including in terms of technology for the advancement of the times and to maintain life, as well as for handling the unprecedented outbreak of the corona virus that spread in the end of 2019, referred to as COVID-19 by the World Health Organization (WHO), and has put the whole world in a precarious position. The impact of the COVID-19 outbreak, which was witnessed only by Chinese citizens, has become a problem of great concern for almost every country around the world makes the COVID-19 outbreak is spreading tremendous fear, overburdened healthcare system has forced most countries around the world are in a state of partial or complete lockdown. Researchers have begun to develop studies in various fields to help control the virus. Technology is also forced to adapt and develop faster to deal with the existing situation. In response to this action, with this review paper we use trusted sources to present a detailed review of specific aspects related to technological developments during the COVID-19 pandemic, especially UAV or drone technology. In this study we explore the use of technologies such as Unmanned Aerial Vehicles (UAVs) or drones that are modified for handling pandemic situations, and how these technologies are also combined with other trending technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and 5G, among others, to help reduce their impact from the COVID-19 outbreak and the challenges for the post COVID-19 period. Where UAV technology can be modified and developed according to the needs of the pandemic and development for the post-pandemic and endemic period
PROTOTIPE ALAT PENYORTIR JENIS IKAN OTOMATIS BERDASARKAN CITRA MATA MENGGUNAKAN ALGORITMA YOLO Salsabil, Sani; Anjara, Febria; Jaenul, Ariep; Dionova, Brainvendra Widi; Putri, Arisa Olivia; Salsabila, Ghina
JTERA (Jurnal Teknologi Rekayasa) Vol 9, No 2: December 2024
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v9.i2.2024.131-136

Abstract

This research presents the development of an automated fish sorting system leveraging image processing technology to enhance productivity within the fishing industry. Conventional fish sorting methods are predominantly manual, resulting in significant time and labor expenditures. To mitigate these challenges, the researchers designed and implemented a fish sorting device capable of categorizing fish based on species and quality during the management of fishery products. The system employs parameters such as eye color and skin or scale color, utilizing the YOLO algorithm to evaluate the accuracy of species and quality detection through image processing. The research encompasses several testing scenarios to validate the system's efficacy. The initial test utilized the ESP32 Cam to identify fish types from a sample of 16 fish, including Milkfish, Mackerel, Catfish, and Tilapia. The results demonstrated a high level of accuracy, with detection readings ranging from 0.902344 to 0.996094; however, Catfish and Tilapia were not detected due to their exclusion from the training dataset. Following this, the study evaluated fish quality through scale color parameters using the TCS3200 sensor, indicating that RGB values effectively differentiate fresh and non-fresh fish. The final test assessed actuator performance for sorting, achieving a 100% accuracy rate with no operational errors in the servo motor. Overall, the results indicate that the system can accurately identify species with a 100% success rate across the 16 samples and achieve the same rate for quality identification from 8 test images of two fish species. Additionally, the AI training metrics yielded a precision of 0.98 (98%), a recall of 0.96 (96%), and an F1 score of 0.97 (97%). In conclusion, this automated fish sorting system demonstrates significant potential for improving efficiency and accuracy in fish classification and quality assessment within the fishing industry, thereby contributing to enhanced productivity and operational effectiveness.
Design of A Thermoelectric Generator for Battery Charging using Heat from A Steam Iron Base Sundari, Delta; Manfaluthy, Mauludi; Pratama, Legenda Prameswono; Dionova, Brainvendra Widi; Vresdian, Devan Junesco; Putri, Arisa Olivia; Al-Humairi, Safaa Najah Sahud; Mohammed, M. N.
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 2 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i2.1307

Abstract

This study explores an alternative method of generating electrical energy using a thermoelectric generator that utilizes heat from the soleplate of a steam iron and six thermoelectric units connected in series. Based on the Seebeck effect, the thermoelectric modules convert the temperature difference into voltage. An increase in the heat source temperature leads to higher voltage production by the series-connected thermoelectric modules, although the electrical power output depends on the connected load. The power generator design includes thermoelectric modules, a buck-boost converter, an 18650 lithium-ion battery, and a 5-watt, 12-volt DC lamp. The study addresses key aspects such as the impact of temperature on power output in series-connected and parallel-connected thermoelectric circuits, and the efficient conversion of heat from the steam iron soleplate into electrical energy. The research objectives are threefold: to determine power and temperature values for series-connected thermoelectric circuits, to evaluate power and temperature values for parallel-connected thermoelectric circuits, and to utilize heat from the steam iron soleplate as a thermoelectric heat source for generating electrical energy. Testing involved a buck-boost converter connected to a battery, producing 12.35 volts with a temperature difference of 49°C. Design enhancements, such as integrating heatsinks or coolers on the cold side of the modules to maintain a significant temperature differential, are critical for optimizing performance.
Analysis of LoRaWAN Network Signal Coverage and Quality Parameters in Real-Time: Case Study of Cikumpa River Water Quality Monitoring, Depok City Ariansa, Hasri; Pratama, Legenda Prameswono; Faizah, Safira; Putri, Arisa Olivia; Jaenul, Ariep; Dionova, Brainvendra Widi; Al-Humairi, Safaa Najah Sahud; Mohammed, M. N.
Teknika Vol. 13 No. 3 (2024): November 2024
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v13i3.1060

Abstract

In the context of an increasingly advanced era, Internet of Things (IoT) technology has emerged as a significant innovation across a range of fields. One of the most rapidly developing Internet of Things (IoT) technologies is the Long Range Wide Area Network (LoRaWAN). LoRaWAN is capable of long-distance communication while simultaneously consuming minimal power. In this study, we analyze the coverage of the LoRaWAN network in transmitting data with Cikumpa river water objects, with a 100–600 meters distance between the transmitter (TX) and receiver (RX). This study assesses the RSSI network quality, LoRaWAN SNR, and LoRaWAN network QoS quality concerning throughput, delay, jitter, and packet loss parameters. The testing results demonstrated that the LoRaWAN network coverage reaches a maximum distance of 600 meters. Researchers conducted the testing in the Cikumpa River area. They then analyzed the RSSI and SNR test results in the morning, afternoon, and evening. The results of the RSSI test and calculations demonstrate that as the distance between the transmitter and receiver increases, the RSSI value decreases. The RSSI testing conducted in the morning exhibited a range of -99 dBm to -121 dBm, with the SNR values spanning from -3.25 dB to 8.75 dB. The results of the daytime RSSI tests ranged from -104 dBm to -124 dBm, with the corresponding SNR values ranging from -8.50 dB to 9.00 dB. The RSSI test results for the afternoon period exhibited a range of -96 dBm to -120 dBm, while the SNR demonstrated a range of -7.25 dB to 9.00 dB. In addition, the quality of service (QoS) can be considered stable based on the results of the RSSI and SNR for each test. During the testing process, conducted at distances between 100 and 600 meters, there was no packet loss when data transmission occurred. This research demonstrates the potential for utilizing LoRaWAN technology to monitor a desired object remotely.
The Efficiency of MPPT in Mitigating the Effects of Partial Shading on Power Stability through the MPNO Method Dionova, Brainvendra Widi; Devan Junesco Vresdian; Dian Nugraha; Ariep Janeul; Abir Oktaviani; M.N.Mohammed
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 1: March 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n1.1249.2025

Abstract

An electric vehicle charging station (EV charging station) is an infrastructure designed to charge electricity for electric vehicles. However, most EV charging stations still rely on fossil energy sources. Innovation is needed to overcome this problem. One of them is through the use of solar panels. Using solar panels on the CBMS turns it into a clean and environmentally friendly energy source. However, environmental factors such as weather significantly affect the energy conversion produced by solar panels. Panels that are covered by trees and tall buildings cause partial shading conditions. Partial shading conditions can result in a direct decrease in PV output power. To overcome this, output power optimization using a DC-DC converter is required. The MPPT boost converter system with a modified P&O method is designed to maximize the output power of solar panels when partial shading occurs. The test results show that the developed system can maximize the output power of solar panels in partial shading conditions with an average power increase of 8.13 and an efficiency of 91%. This method can reduce the negative impact of changes in light intensity, keep the system close to the maximum power point, and improve the efficiency of charging electric vehicles at SPKL during unstable weather conditions. However, the modified P&O method is less effective in maximizing the output power in standard solar panels. This research does not address the effectiveness of solar panels concerning temperature, humidity, and dust.
Development of Quadcopter Drone and IoT Module Technology in Geospatial-Based Air Emission Monitoring Hapsari, Anindya Ananda; Vresdian, Devan Junesco; Dionova, Brainvendra Widi; Andreansyah, Teddy
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6300

Abstract

his research introduces an innovative drone-based air quality monitoring system, equipped with multi-parameter sensors to measure temperature, humidity, CO2 concentration, and PM2.5 in real-time. The system is designed with integration to the Internet of Things (IoT), enabling direct data transmission to smart devices for instant access and quick analysis. This system provides a practical solution for monitoring air quality flexibly, especially in areas that are difficult to reach with conventional monitoring devices. Simulations showed that the drone canoperate for 4.8 to 14.77 minutes with an 80% battery depletion, depending on environmental conditions. Calibration testing of the sensors showed high accuracy, although data variations were significantly affected by temperature changes. The system underwent trial and calibration as an initial step to ensure device reliability and open opportunities for broader application development, including air quality monitoring in urban areas, industrial zones, and natural environments. The main advantage of this system lies in its ability to provide real-time data and flexibility in data collection from various locations. However, the study also identified several challenges, such as battery capacity limitations and communication range, which will be the focus of further development. Potential improvements include optimizing battery capacity, expanding communication range, and developing predictive
Analisis Energi Dan Ekonomi Stasiun Pengisian Kendaraan Listrik (SPKL) Berbasis Pembangkit Listrik Tenaga Surya (PLTS) Dioova, Brainvendra Widi
Power Elektronik : Jurnal Orang Elektro Vol 14, No 1 (2025): POWER ELEKTRONIK
Publisher : Politeknik Harapan Bersama Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/polektro.v14i1.7717

Abstract

Energi dan keberlanjutan menjadi prioritas utama dalam pengembangan infrastruktur pengisian kendaraan listrik, terutama untuk mengurangi emisi karbon dan menghemat biaya operasional. Pembangkit Listrik Tenaga Surya (PLTS) adalah solusi energi terbarukan yang potensial, meskipun masih menghadapi tantangan seperti fluktuasi efisiensi akibat perubahan cuaca dan tingginya biaya investasi awal. Penelitian ini bertujuan untuk menganalisis efisiensi dan kinerja Stasiun Pengisian Kendaraan Listrik (SPKL) berbasis PLTS. Pengukuran dilakukan pada tegangan, arus, dan daya listrik yang dihasilkan oleh panel surya, yang diteruskan ke sistem Maximum Power Point Tracking (MPPT) untuk mengisi baterai kendaraan listrik. Analisis ekonomi dilakukan dengan menggunakan metode Payback Period (PBP), Net Present Value (NPV), dan Internal Rate of Return (IRR). Hasil penelitian menunjukkan bahwa efisiensi rata-rata MPPT sebesar 61,47%, dengan fluktuasi yang disebabkan oleh variasi intensitas sinar matahari. Meskipun demikian, sistem PLTS mampu menghasilkan daya yang cukup untuk mengisi baterai kendaraan listrik, meskipun kinerjanya sedikit menurun saat cuaca mendung. Penggunaan PLTS juga memberikan penghematan biaya operasional tahunan sebesar Rp 87.357,21 dibandingkan penggunaan listrik konvensional dari PLN. Namun, dari segi kelayakan ekonomi, perhitungan PBP menunjukkan waktu pengembalian investasi selama 20 tahun. Selain itu, NPV yang dihitung sebesar -Rp 4.118.596,8 dan IRR -0,47% mengindikasikan bahwa proyek ini belum layak secara finansial dalam jangka waktu 20 tahun. Meskipun demikian, PLTS tetap menawarkan manfaat lingkungan yang besar, dan optimalisasi sistem serta pengembangan teknologi baterai yang lebih efisien diperlukan untuk meningkatkan performa dan kelayakan ekonomi jangka panjang proyek ini.
IMPLEMENTASI PENGISIAN BATERAI KENDARAAN LISTRIK AC DAN DC DENGAN SUMBER ENERGI HYBRID Dionova, Brainvendra Widi
Jurnal Kajian Teknik Elektro Vol 10, No 1 (2025): JKTE VOL 10 NO 1 (MARET 2025)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jkte.v10i1.7824

Abstract

Saat ini permasalahan lingkungan selalu terkait dengan permasalahan teknologi transportasi khususnya teknologi kendaraan yang masih menggunakan bahan bakar minyak yang berasal dari fosil. Yang menyebabkan peningkatan konsentrasi gas rumah kaca akibat aktivitas manusia sendiri. Sektor transportasi memberikan andil yang besar dalam pengurangan emisi gas rumah kaca. Salah satu implementasi pengurangan CO2 pada sektor transportasi adalah penggunaan kendaraan listrik. Saat ini kendaraan listrik mulai berkembang dan didukung oleh teknologi baterai yang semakin baik seperti berukuran kecil dan mampu menyimpan energi yang besar. Salah satu jenis kendaraan listrik sederhana adalah sepeda listrik. maka dibuatkan penelitian tentang “Implementasi Pengisian Baterai kendaraan listrik AC Dan DC Dengan Sumber Energi Hybrid” Pada penelitian ini menggunakan system control hybrid, Cara kerja dari control hybrid yakni dengan memakai dua sumber energy listrik yaitu sumber energy dari panel surya sebagai sumber utama dan sumber energy PLN sebagai sumber energy cadangan. Hasil pada pengujian hybrid dengan menggunakan baterai 72v20ah tegangan dari baterai input sebesar 12.54v(80%) dengan posisi relay 1 dan relay 2 on, pengisian baterai motor listrik menggunakan sumber energi dari baterai sampai keadaan baterai turun sejauh 11.91v(40%) selama 50 menit pengisian. Ketika tegangan baterai input sudah mencapai 40% pengisian otomatis beralih menggunakan sumber energi dari PLN. Sumber energi PLN aktif dan mengeluarkan tegangan sebesar 227.7v dengan posisi relay 3 dan relay 4 on, pengisian baterai motor listrik menggunakan sumber energi dari PLN sampai keadaan baterai full menjadi 71.3(100%) selama 90 menit pengisian.
OPTIMIZATION OF PHOTOVOLTAIC COOLING SYSTEM PERFORMANCE: A COMPARISON REVIEW OF ACTIVE, PASSIVE AND COMBINED METHODS Novitasari, Alfiah Jihan; Dionova, Brainvendra Widi; Jaenul, Ariep; Abdullah, Muhammad Irsyad
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 27, No 3 Juli (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.27.3.149-158

Abstract

Photovoltaic modules play a crucial role in the generation of renewable energy. However, their performance is highly sensitive to temperature changes, as excessive heat can significantly reduce photovoltaic efficiency and electrical output. To counteract this issue, an effective cooling system is essential to maintain the optimal operating temperature of PV modules. Therefore, a cooling system is needed to maintain the optimal temperature and increase the output. This paper compares various cooling approaches categorized into three main types: active, passive, and hybrid (combined) cooling methods. Active cooling methods, such as forced air cooling and water circulation systems, are capable of significantly reducing the temperature of photovoltaics. However, they often require external power sources, which can reduce overall energy efficiency. Passive cooling techniques, including heat sinks, phase change materials (PCMs), and natural convection, offer energy-efficient alternatives that do not require external power, although their cooling capacity may be limited. Hybrid cooling methods, which integrate active and passive elements, have demonstrated superior performance by balancing energy consumption and cooling effectiveness. Effective cooling not only improves performance but also extends the life of the system. Cooling technology should focus on cost-effective, eco-friendly solutions to enhance solar module performance and support efficient renewable energy use.
Performance Enhancement of 100WP Monocrystalline Solar Panel using Mirror Reflectors Dionova, Brainvendra Widi; Rahmanda, Ibnu Dwi; Putri, Arisa Olivia; Eteruddin, Hamzah; Pratama, Legenda Prameswono; Hendrawati, Dwiana; Abdulrazaq, Mohammed N.
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.85796

Abstract

This research analyzes how the reflection of sunlight intensity affects the power generated by a 100WP monocrystalline solar panel with the addition of various reflector tilt angles. An experimental method was used to conduct this analysis by comparing three tests: a solar panel without a reflector, with a 60° angled reflector, and with a 75° angled reflector. Data was collected at one-hour intervals from 09:00 to 16:00 WIB, measuring parameters such as temperature, intensity, voltage, current, and power. The results showed that the addition of a flat mirror reflector significantly improved the performance of the solar panel. With a 75° tilt angle, the total power generated was 373.32W, compared to the total power generated at 60° of 366.93W and without a reflector of 208.62W. The highest power peak was achieved at 13:00 WIB with the 75° reflector at 69.31W. This research demonstrates that a reflector tilt angle of 75° is the most optimal for increasing the efficiency of monocrystalline solar panels as it distributes sunlight more evenly across the panel surface. The recommendation for future research is the utilization of software-based simulations and IoT integration for real-time monitoring, to strengthen experimental data validation and expand the application of this technology at both industrial and household scales.