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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Applied Power Engineering (IJAPE) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Sinergi Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Bulletin of Electrical Engineering and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer INTEGER: Journal of Information Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan TIJAB (The International Journal of Applied Business) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Abdimasku : Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Journal of Vocational Nursing Jurnal Nasional Pengabdian Masyarakat ALINIER: Journal of Artificial Intelligence & Applications Jurnal Sistim Informasi dan Teknologi Jurnal Ilmiah Hospitality Management Jurnal Rekayasa elektrika JGEN : Jurnal Pengabdian Kepada Masyarakat
Firdaus, Aji Akbar
Department Of Engineering, Faculty Of Vocational, Universitas Airlangga, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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 Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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PELATIHAN DAN PENGEMBANGAN KEMAMPUAN WARGA KELURAHAN LAMARU DALAM MENGOLAH LIMBAH KOTORAN TERNAK MENJADI KOMPOS ORGANIK Vicky Andria Kusuma; Aji Akbar Firdaus
Jurnal Layanan Masyarakat Vol. 6 No. 2 (2022): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jlm.v6i2.2022.334-341

Abstract

Pupuk adalah suatu zat yang diberikan ke tanah untuk menyuburkan atau memperbaiki kondisi tanah. Pupuk secara umum dibagi menjadi 2 yaitu pupuk organic (kompos) dan anorganik). Kompos merupakan pupuk yang berasal dari bahan organic yang dibutuhkan oleh tanaman. Rukun Tetangga (RT) 13 Desa Lamaru merupakan salah satu unit tetangga yang diklasifikasikan sebagai Desa Tangguh oleh pemerintah. Sebagian besar warga RT. 13 bekerja sebagai peternak dan petani. Desa tersebut terdapat sumber daya yang dimiliki, seperti lahan yang digunakan warga untuk menanam sayur mayur sehingga dapat dikonsumsi dijual ke pasar. Selain itu, lumbung yang digunakan bersama oleh masyarakat untuk pakan ternak. Namun, beberapa sumber daya yang dimiliki warga belum dimanfaatkan secara optimal seperti kotoran sapi yang dapat dijadikan kompos. Ada juga alat pengasah yang terbengkalai dan disalahgunakan. Hal ini karena kurangnya pengetahuan dan kesadaran masyarakat tentang pupuk organik sehingga masyarakat tidak memanfaatkan sumber-sumber tersebut. Berdasarkan permasalahan tersebut, melalui pengabdian masyarakat ini dilakukan beberapa kegiatan untuk dapat menjawab permasalahan tersebut. Kami akan memberikan edukasi tentang manfaat kompos dan memberikan penyuluhan kepada warga tentang cara membuat kompos.
Prediksi Voltage Stability Index (VSI) Metode Artificial Neural Network (ANN) untuk Mendeteksi Tegangan Jatuh Dimas Fajar Uman Putra; Aji Akbar Firdaus; Novian Uman Putra; Ontoseno Penangsang
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v4i4.180

Abstract

Voltage stability analysis is needed in the planning or operation of electric power systems. This will have an impact on decreasing the system voltage and result in a voltage collapse and will be fatal resulting in a partial or total system blackout. If there is a change in load on a line, it can cause a decrease in the voltage profile. Predicting the value of additional load on a bus based on a voltage stability analysis can be done to detect the occurrence of a voltage drop. There are various methods for analyzing voltage stability, one of which is the point of voltage instability which can be determined using the Fast Voltage Stability Index (FVSI) method. Artificial Neural Network (ANN) is chosen in this problem to predict the value of the additional load.
Analysis of the Potential for Installing a Solar Power Plant on a BNI Bank Rooftop in the City of Balikpapan Permai Vicky Andria Kusuma; Sena Sukmananda Suprapto; Aji Akbar Firdaus; Jenrychk Marcelino Tandi Karrang
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v12.i1.pp%p

Abstract

The installation of a solar energy generation system is being carried out to increase the use of renewable energy. This research is on the availability of many solar pandies behind the equator and requires banks. The Solar Power Plant (SPP) design results in the Bank Negara Indonesia (BNI) Balikpapan Permai bank building have shown good potential to be implemented even in changing climatic conditions. The SPP system has a total power higher than the total power consumption in the BNI bank building, with a power consumption of 33 kW. In comparison, for the SPP system in November, the power was 50,78 kW, and the power generated in December was 5,696 kW. This means that the BNI office receives an electricity surplus of 12,696 kW - 17,78 kW, with a total power of 9,8 kW from solar modules used.
Analysis of the effect of a microcontroller-based solar panel cooling system on temperature and power output Vicky Andria Kusuma; Happy Aprillia; Sena Sukmananda Suprapto; Muhammad Nizhom Ramadhani; Aji Akbar Firdaus; Dimas Fajar Uman Putra
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i2.pp119-125

Abstract

This research addresses the problem of temperature fluctuations affecting the efficiency of solar panels. A cooling system has been developed using a Peltier and a combination of air- and water-cooling methods. The air-cooling system involves placing a Peltier coated with a heatsink under the solar panel, while the water-cooling system uses pumped water on the panel's surface. The study aims to design a solar panel cooling system to reduce temperature and power losses and compare its output to standard solar panels. The system includes a Peltier, DC fan, and heatsink. Results indicate that the air-cooling system reduced temperature losses on the bottom milk of solar panels by 14.5%. However, the surface of solar panels showed no reduction in temperature losses. Additionally, solar panels with cooling systems were able to reduce power losses by 4% compared to standard solar panels. This research suggests that the use of an air-cooling system utilizing Peltier as the cooling medium could be a potential solution to reduce temperature losses and power losses on solar panels.
Pendeteksian Harmonisa Arus Berbasis Feed Forward Neural Network Secara Real Time Endro Wahjono; Dimas Okky Anggriawan; Achmad Luki Satriawan; Aji Akbar Firdaus; Eka Prasetyono; Indhana Sudiharto; Anang Tjahjono; Anang Budikarso
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (869.076 KB) | DOI: 10.17529/jre.v16i1.15093

Abstract

The development of power electronics converters has been widespread in the industrial, commercial, and home applications. The device is considered to produce harmonics in non-linear loads. Harmonics cause a decrease in power quality in the electric power system. To prevent a decrease in power quality caused by harmonics in the power system, the detection of harmonics has an important role. Therefore, this paper proposed feed forward neural network (FFNN) for harmonic detection. The design of harmonic detection device is designed with a feed forward neural network method that it has two stages of information processing, namely the training stage and the testing stage. FFNN has input harmonics and THDi as output. To detect harmonics, frst training is conducted to recognize waveform patterns and calculate the fast fourier transform (FFT) process offline. Prototype using the AMC1100DUB current sensor, microcontroller and display. To validate the proposed algorithm, compared by standard measurement tool and FFT. The results show the proposed algorithm has good performance with the average percentage error compared by standard measurement tool and FFT of 5.33 %.
Leveraging PSO algorithms to achieve optimal stand-alone microgrid performance with a focus on battery lifetime Vicky Andria Kusuma; Aji Akbar Firdaus; Sena Sukmananda Suprapto; Dimas Fajar Uman Putra; Yuli Prasetyo; Firillia Filliana
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v12.i3.pp293-299

Abstract

This research endeavors to increase the lifespan of a battery utilized in a standalone microgrid system, a self-sufficient electrical system that consists of multiple generators that are not connected to the main power grid. This type of system is ideal for use in remote locations or areas where the grid connection is not possible. The sources of energy for this system include photovoltaic panels, wind turbines, diesel generators, and batteries. The state of charge (SOC) of the battery is used to determine the amount of energy stored in it. The particle swarm optimization (PSO) method is applied to minimize energy generation costs and maximize battery life. The results show that battery optimization can decrease energy generation costs from Rp 5,271,523.03 ($338.64 in USD) to Rp 13,064,979.20 ($839.30 in USD) while increasing the battery's lifespan by 0.42%, with losses of 7.22 kW and 433.29 kVAR, and also a life loss cost of Rp 5,499/$0.35.
Gym training muscle fatigue monitoring using EMG myoware and arduino with envelope and sliding window methods Sena Sukmananda Suprapto; Vicky Andria Kusuma; Mifta Nur Farid; Muhammad Agung Nursyeha; Kharis Sugiarto; Aji Akbar Firdaus; Dimas Fajar Uman Putra
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 12, No 3: November 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v12.i3.pp345-350

Abstract

Muscles are an important organ in the movement of the body's skeleton to carry out sports activities. Measurement of muscle activity during the exercise process can be done using electromyography (EMG). This research uses Myoware muscle sensor (AT-04-001) which is integrated with Arduino Uno and Xbee to monitor biceps brachii muscle fatigue wirelessly. Fatigue data processing is carried out objectively using the envelope and sliding window method and subjectively verbally from the respondents. From this study, it was found that muscle fatigue can be measured using the method objectively when there is an increase in EMG amplitude with a window size of 5 s. The indication of biceps brachii muscle fatigue for the right arm is stronger to withstand the load during exercise with the average duration of the measurement of the right arm is 41.87 s from 69.67 s; 53.53 s from 98.90 s and 76.87 s from 98.80 s with the ratio of the left arm tending to fatigue more quickly is 23.53 s from 42.13 s; 41.87 s from 51.60 s and 23.53 s from 44.73 s.
Improved load frequency control performance by tuning parameters of PID controller and BESS using Bat algorithm Dimas Fajar Uman Putra; Aji Akbar Firdaus; Hamzah Arof; Novian Patria Uman Putra; Vicky Andria Kusuma
Bulletin of Electrical Engineering and Informatics Vol 12, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i5.4548

Abstract

The oscillation of frequency can cause the generator to run out of sync in a power system. Therefore, load frequency control (LFC) is needed to reduce frequency oscillation and prevent out of sync operation. The LFC regulates the governor to balance the turbine speed with changes in the load of existing. In this paper, a proportional integral differential (PID) controller and a battery energy storage system (BESS) are added to an LFC to improve the frequency stability of a power system. The parameters of the PID controller and BESS are optimized using the Bat algorithm (BA) to attain a good coordination. The frequency performance analysis is done by introducing disturbance in the form of changes in load power. The simulation results show that the frequency deviation of the system with the PID controller and BESS, has a faster settling time and smaller overshoot value. The system performs better than those with only the PID controller or the BESS. In conclusion, the BA algorithm can be used to find optimal parameter values of the PID controller and BESS for a synchronized coordination of an LFC.
Pendeteksian Harmonisa Arus Berbasis Feed Forward Neural Network Secara Real Time Endro Wahjono; Dimas Okky Anggriawan; Achmad Luki Satriawan; Aji Akbar Firdaus; Eka Prasetyono; Indhana Sudiharto; Anang Tjahjono; Anang Budikarso
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i1.15093

Abstract

The development of power electronics converters has been widespread in the industrial, commercial, and home applications. The device is considered to produce harmonics in non-linear loads. Harmonics cause a decrease in power quality in the electric power system. To prevent a decrease in power quality caused by harmonics in the power system, the detection of harmonics has an important role. Therefore, this paper proposed feed forward neural network (FFNN) for harmonic detection. The design of harmonic detection device is designed with a feed forward neural network method that it has two stages of information processing, namely the training stage and the testing stage. FFNN has input harmonics and THDi as output. To detect harmonics, frst training is conducted to recognize waveform patterns and calculate the fast fourier transform (FFT) process offline. Prototype using the AMC1100DUB current sensor, microcontroller and display. To validate the proposed algorithm, compared by standard measurement tool and FFT. The results show the proposed algorithm has good performance with the average percentage error compared by standard measurement tool and FFT of 5.33 %.
Implementing hue-saturation-value filter and circle hough transform for object tracking on ball-wheeled robot Sugiarto, Kharis; Kusuma, Vicky Andria; Firdaus, Aji Akbar; Suprapto, Sena Sukmananda; Putra, Dimas Fajar Uman
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp52-58

Abstract

The ball-wheeled robot relies on a camera for receiving information on the object to be followed. Object tracing is one of the methods that can be used for detecting object movement. In recognizing objects around it, the robot requires an image analysis process that involves visual perception. Image processing is the process of processing and analyzing images that involves visual perception, and is characterized by input data and output information in the form of images. This is how the robot can see objects around it and then be assisted by computer vision to make a decision. The object tracking method with hue-saturation-value (HSV) colour filtering and shape recognition with circle hough transform (CHT) is applied to the ball-wheeled robot. The front vision of the robot uses HSV colour filtering with various test values to determine the thresholding value, and it was found that the ball could be identified up to a distance of 1,000 cm. To further improve the performance of recognizing the ball object, CHT was applied. It was found that the ball could be identified up to a distance of 700 cm. Furthermore, the ball can be identified in obstructed conditions up to 75%.
Co-Authors Achmad Luki Satriawan Adi Soeprijanto Agustin, Eva Inaiyah Alim Prasaja Aly, Muhammad Nilzam Ambarwati, Dewi Anang Budikarso Anang Tjahjono, Anang Andria Kusuma, Vicky Arof, Hamzah Asy'ari, Vaizal Azmita, Mimi Bambang Suharto Bambang Suharto Belgis, Belgis DARMAWAN SETIA BUDI Daud, Muhamad Zalani Dewanto, Muhammad Ridho Dimas Fajar U.P. Dimas Fajar Uman Putra Dimas Okky Anggriawan Dwi Retna Kumalaningrum Eka Prasetyono, Eka Eka Saputra Endro Wahjono Farid, Mifta Nur Fasya, Arif Habib Firillia Filliana Gagas Gayuh Aji, Gagas Gayuh Ginting, Ina Veronica Hadi Suyono Hadi Suyono Hamzah Arof Happy Aprillia Hidayatul Nurohmah Indhana Sudiharto Jenrychk Marcelino Tandi Karrang Kadek Juni Setiawati Kenconojati, Hapsari Kharis Sugiarto Khuria Kirana, Angkita Wasito Kristanto, Damar Kristanto, Damar Kurnia Wijaya Kusuma Li Wang Machrus Ali Mahmud Iwan Solihin Maulana, Muhammad Hilmy Maurisia Putri Permatasari Mifta Nur Farid Mimi Azmita Muhaimin Muhaimin Muhammad Agung Nursyeha Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Nizhom Ramadhani Muhammad Ruswandi Djalal Nabila Salvaningtyas Nasa Zata Dina Novian Patria Uman Putra Novian Uman Putra Nuruddin Nuruddin Nyoman Juniarta, Nyoman Ontoseno Penangsang Pardede, Maria Agustina Prasaja, Alim Prayogo, Prayogo Priyanto, Yun Tonce Kusuma Putra, Dimas Fajar Uman Putra, Wahyu Haryanto Putri, Rahmah Fadiyah Rachman Sinatriya Marjianto Rafdi Syah, Muhammad Abby Rahayu, Ragil Puji Rahmat Yuliawan Rajendran, Parvathy Risty Jayanti Yuniar Sena Sukmananda Suprapto Setiawati, Kadek Juni Sinulingga, Rizky Amalia Sisca Dina Nur Nahdliyah Sri Endah Kinasih Sri Endah Nurhidayati Suciyono, Suciyono Sugiarto, Kharis Suharno, Novianto Edi Suprapto, Sena Sukmananda Susanto, Fajar Annas Teguh Aryo Nugroho Teguh Herlambang Tesa Eranti Putri Trimulya, Hanif Uman Putra, Novian Patria Vicky Andria Kusuma Vicky Andria Kusuma Wilda Imama Sabilla Winarno Winarno Winarno, Winarno Yanuar Mahfudz Safarudin Yuli Prasetyo Yunardi, Riky Tri