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Wireless Online Atmospheric Electric Field Measurement System Based on Rotating-vane Electric Field Mill Muhammad Abu Bakar Sidik; Hamizah Shahroom; Zolkafle Buntat; Yanuar Zulardiansyah Arief; Zainuddin Nawawi; Muhammad ‘Irfan Jambak
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (854.349 KB) | DOI: 10.11591/eecsi.v1.425

Abstract

One of the popular methods to measure atmospheric quasi-static electric field is by using rotating-vane electric field mill (REFM) sensor. By observing electric fields strength in atmosphere, occasion of lightning incident can be forecasted. This paper proposes an integration of REFM with an online wireless data monitoring system for long distance observation and data collection. This method reduces system costs by removing the computer and data logger on-site. Furthermore, it reduces the required man-hour to gather data from the REFM. The development includes hardware and software design in order to improve efficiency the atmospheric electric field measurement system. The contribution of this paper is the design of the electronic circuit which converts the ac signal from the REFM sensor to dc signal and then correlates the signal to the electric field strength in the vicinity. Subsequently the information is transmitted via a wireless data transmission system, using the Global System Mobile Communication (GSM) network. Using the proposed method, all the data from sensors can be observed and analyse immediately from any location.
Technique and Device to Evaluate Lightning Air Terminal Collection Volume Zainuddin Nawawi; Hussein Ahmad; Muhammad Abu Bakar Sidik; Lim Pai Hung; Aulia .; Hamizah Shahroom; Muhammad ‘Irfan Jambak
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.561 KB) | DOI: 10.11591/eecsi.v1.426

Abstract

Lightning air terminals are a very significant part of lightning protection system (LPS) for buildings, structures and facilities. With reference to the facilities requiring lightning protection the position, the apparent height, and the angle of protection of lightning air terminals determines the collection volume (CV) of the protected area. The CV of direct strike lightning air terminals can change due to facilities which are affected by natural disasters such as seismic tremor and flood. If such natural disasters do happen, there are possibilities that the facilities will not be fully protected from direct lightning strikes due to building and structure misalignment the aftermath of seismic tremor and flood related earth movement. So for the safety of equipment and personnel, lightning protection system efficacy assurance is necessary. Therefore, there should be a technique and device to monitor the variation of collection volume afforded by every lightning air terminal on buildings and structures after the occurrence of a natural disaster. This paper presents a new technique as well as a new device to monitor the collection volume variation. A part of the device was obtained from a recycled moveable television antenna. This approach is not only practical, portable and cost effective but also incorporating the idea of environmental protection and recycling of used plastic materials.
Development of Compact On-Line Partial Discharge Analyzer Assessing Nanocomposite Insulation Performance for Research Purpose Aulia .; Yanuar Z. Arief; Zulkurnain Abduk-Malek; Zuraimy Adzis; Nor Asiah Muhamad; Muhammad Abu Bakar Sidik; Zainuddin Nawawi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1001.909 KB) | DOI: 10.11591/eecsi.v1.428

Abstract

Analyzing on-line partial discharge (PD) data using commercially available spreadsheet application software like Microsoft Excel is possible but very difficult to do. The problem is because the PD data are quite long and depend on the sampling rate used during testing. Increasing the sampling rate will increase data samples in one cycle of 50 Hz waveform, and longer time is needed to analyze the data. A further problem is associated with compiling the PD data; Excel uses a large memory to run, plot and calculate the PD data for analysis purpose, and sometimes this leads to computer memory crash. Due to this problem, an alternative on-line PD analyzer (on-LPDA) needs to be developed. This paper reports on the performance of the software that was developed using LabViewTM 8.5. The result shows that the software can extract PD parameters like PD numbers, PD magnitude, and plotting PD pattern without large time and memory consumption, compared with Excel, and experiences no memory crash up to 125 mega sampling (MS) rate.
Neural network training for serial multisensor of autonomous vehicle system Eka Nuryanto Budisusila; Sri Arttini Dwi Prasetyowati; Bhakti Yudho Suprapto; Zainuddin Nawawi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5415-5426

Abstract

This study aims to find the best artificial neural network weight values to be applied to the autonomous vehicle system with ultrasonic multisensor. The implementation of neural network in the system required long time process due to its training process. Therefore, this research is using offline training before implementing to online training by embedding the best network weight values to obtain the outputs faster according to desired targets. Simulink were used to train the system offline. Eight ultrasonic sensors are used on all sides of the vehicle and arranged in a serial multisensory configuration as inputs of neural network. With eight inputs, one sixteen-depth hidden layer, and five outputs, it was trained using the back-propagation algorithm of artificial neural network. By 100000 iterations, the output values and the target values are almost the same, indicating its convergency with minimum of errors. The result of this training is the best weights of the networks. These weight values can be implemented as fixed-weight in online training.
Electrical Potential Distribution in Polymethyl Methacrylate-Graphene Oxide Nanocomposites Zainuddin Nawawi; R. F. Kurnia; N. F. A. Isa; Z. Buntat; D. R. Yuniarti; M. I. Jambak; Muhammad Abu Bakar Sidik
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp256-262

Abstract

Research work of polymer nanocomposites in high voltage insulator becomes interest nowadays. Polymer based and nanofillers are the core components in polymer nanocomposites. By adding such a big amount of nanofiller it would enhance the electrical and mechanical properties of polymers.  However as for today, a little percentage of nanofiller concentration could dramatically enhanced the properties of the polymeric material. Recent research of graphene oxide (GO) nanofiller has brought to this project interest.  This paper presents several methods that have been published to development PMMA (poly methyl methacrylate)/GO nanocomposites and a simulation of PMMA/GO in order to investigate the potential distribution. 
The Impact of Telemetry Received Signal Strength of IMU/GNSS Data Transmission on Autonomous Vehicle Navigation Muhammad Khosyi'in; Sri Arttini Dwi Prasetyowati; Bhakti Yudho Suprapto; Zainuddin Nawawi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 4: December 2022
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v10i4.3901

Abstract

This paper presents the effect of received signal strength on IMU/GNSS sensor data transmission for autonomous vehicle navigation. A pixhawk 2.1 flight controller is used to build the navigation system. Straight lines with back-and-forth routes were tested using two types of SiK telemetry: Holybro and RFD. The results of the tests show that when the RSSI value falls close to the receiver's sensitivity value, the readings of the gyro sensor data, accelerometer, magnetometer, and GNSS compass data are disturbed. When the RSSI signal collides with noise, the radio telemetry link is lost, affecting the accuracy of speed data and the orientation of autonomous vehicles. According to Cisco's conversion table, the highest RSSI on Holybro telemetry is -48 dBm, and the lowest is -103 dBm, with a receiver sensitivity of -117 and data reading at a distance of about 427 meters. While the highest RSSI value on RFD telemetry is -17 dBm and the lowest is -113 dBm, even the lowest value is above the receiver's sensitivity limit of -121 dBm with data readings at a distance of approximately 749.4 meters. RFD outperforms Holybro in terms of RSSI and sensitivity at low data rates. When reading distance data to reference distance data using Google Earth and ArcGIS, RFD telemetry has a higher accuracy, with an average accuracy of 98.8%.
Deep Learning Berbasis CNN Untuk Pengenalan Pola Partial Discharge Isolasi Silicone Rubber Ferlian Seftianto; Sukemi Sukemi; Zainuddin Nawawi
SINTECH (Science and Information Technology) Journal Vol. 6 No. 2 (2023): SINTECH Journal Edition Agustus 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v6i2.1390

Abstract

Partial discharge (PD) activity measurements have been carried out by selecting noise signals (de-noising) using Support Vector Machine (SVM)and then recognized using Convolutional Neural Network (CNN). CNN testing was carried out using various models such as activation methods: Sigmoid, Softmax, Relu, Tanh, Swish. Number of layers used is 1, 2, 3, 4 with filter sizes of 32, 64, 128, 256  and kernel sizes 3x3, 2x2, 1x1, 1x2,  1x3 in the MaxPooling and AveragePooling pooling methods. The results obtained, On sigmoid method the MaxPooling and AveragePooling with  1 layers  having a low accuracy around 14.40% but the other layers configurations gets a high accuracy around 98.99% both has been done with or without de-noising. In Softmax activation method, MaxPooling pooling method has an accuracy around 84.94% and has de-noising 90.66%. The AveragePooling pooling method has an accuracy 65.25% and around 75.29% with de-noised. The result shows that SVM de-noising increases the accuracy around 11.12% in the Softmax activation method. In the Tanh, Relu, and Swish activation methods, a low level of accuracy is obtained with an average of 14.40%, and SVM de-noising doesn’t increase the accuracy, so CNN-based deep learning with SVM de-noising is more suitable using the Sigmoid and Softmax.
Earth Resistance and Earth Construction To Interference Currents On Swamp Land Putra, Dian Eka; Nawawi, Zainuddin; Jambak, Muhammad Irfan
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.57 KB)

Abstract

To protect electrical power installation equipment, especially that in open areas where it is particularly vulnerable to both technical and non-technical disturbances, such as those frequently brought on by lightning surge currents that result in large fault currents, it is crucial to build a grounding installation. A good and trustworthy grounding system is required to flow this significant fault current, both in terms of a low grounding resistance value and the grounding system's design. There are several high voltage transmission towers or electrical power installation tools in open spaces, and they are built on a variety of soil types, including 150 kV transmission towers built on swamp land. The measurements on the shampooing marsh terrain yielded the maximum and minimum values, with the maximum value occurring at a depth of 1 meter and a earth resistance value of 25.70 Ω and the minimum occurring at a depth of 2 meters and a earth resistance value of 12.10 Ω, respectively. Based on the findings of these measurements, a grounding grid construction employing four electrode rods of two distinct types copper-coated iron rods and galvanized iron rods each measuring 3.5 meters in length was designed using the CYMGRD application. Through the CYMGRD application, a different Ground Potential Rise (GPR) is obtained; with the same fault current of 10234.6 Ampere, the GPR value for the copper-coated rod construction is 54.7871 volts as opposed to the galvanized rod construction's 55.0625 volts.
Electrospun nylon-6 nanofibers and their characteristics Sriyanti, Ida; Agustini, Meily P; Jauhari, Jaidan; Sukemi, Sukemi; Nawawi, Zainuddin
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 9 No 1 (2020): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v9i1.5747

Abstract

The purposes of this research were to investigate the synthesized Nylon-6 nanofibers using electrospinning technique and their characteristics. The method used in this study was an experimental method with a quantitative approach. Nylon-6 nanofibers have been produced using the electrospinning method. This fiber was made with different concentrations, i.e. 20% w/w (FN1), 25% w/w (FN2), and 30% w/w (FN3). The SEM results show that the morphology of all nylon-6 nanofibers) forms perfect fibers without bead fiber. Increasing fiber concentration from 20% w/w to 30% w/w results in bigger morphology and fiber diameter. The dimensions of the FN1, FN2, and FN3 fibers are 1890 nm, 2350 nm, and 2420 nm, respectively. The results of FTIR analysis showed that the increase in the concentration of nylon-6 (b) and the electrospinning process caused a peak shift in the amide II group (CH2 bond), the carbonyl group and the CH2 stretching of the amide III group from small wave numbers to larger ones. The results of XRD characterization showed that the electrospinning process affected the changes in the XRD pattern of nylon-6 nanofiber (FN1, FN2, and FN3) in the state of semi crystal. Nylon-6 nanofibers can be used for applications in medicine, air filters, and electrode for capacitors
Using copper-coated round rod electrodes at various depths in freshwater marshes Putra, Dian Eka; Nawawi, Zainuddin; Jambak, M. Irfan
Journal of Multidisciplinary Academic and Practice Studies Vol. 1 No. 4 (2023): November
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jomaps.v1i4.1787

Abstract

Purpose: High-voltage electrical equipment requires grounding installation to protect lives in freshwater swamps with a hydrogen potential of 6.75. To build a grounding structure, it is necessary to know the resistance value and grounding materials, namely, copper-coated rod electrodes at different depths. Research methodology: The research was conducted in a freshwater swamp close to the shampooing substation using field observations and direct measurements of soil resistance values, followed by a literature review and comparisons using COMSOL simulation and FEM Analysis. Results: The results of direct research and simulations indicate that to accomplish a grounding resistance value < 5 ? according to the PUIL 2011 standard for a single-rod system made of copper, it is necessary to optimize the depth of the grounding electrode within a range of 10 m, which differs from the simulation results of ground resistance measurement and the Comsol application. The percentage error was 1.05%. Conclusion: The findings demonstrate that increasing electrode depth effectively reduces grounding resistance in freshwater swamp environments, though variations exist between field and simulated data. Limitations: This study analyzed the results of measurements and grounding analysis using COMSOL Multiphysics at a depth of 1 m for a particular type of copper-coated round rod electrode at depths of 1, 1.5, and 2 m. Contributions: The results of this study offer information on the usefulness of grounding resistance in freshwater wetlands with a pH greater than 6, where several rod electrode types can be utilized for comparison in future research.
Co-Authors ., Aulia ., Aulia Abduk-Malek, Zulkurnain Abu Bakar Sidik, Muhammad Abu Bakar Sidik, Muhammad Abu Bakar Sidik, Muhammad Adzis, Zuraimy Adzis, Zuraimy Agus Adhi Nugroho Agustini, Meily P Ahmad, Hussein Arief, Yanuar Arifin Rusli, Mohd Qamarul Asiah Muhamad, Nor Aulia . Aulia . Aulia Aulia ‘Irfan Jambak, Muhammad ‘Irfan Jambak, Muhammad Bhakti Yudho Suprapto Buntat, Zolkafle Buntat, Zolkafle Bustanul Arifin Cekmas Cekdin, Cekmas D. R. Yuniarti Eka Nuryanto Budi Susila Elnaz Akbari Ferlian Seftianto Fitria, Syarifa Hamizah Shahroom Hamizah Shahroom Hamizah Shahroom Hamizah Shahroom Hashem Ahmadi Hussein Ahmad Hussein Ahmad Ida Sriyanti Jaidan Jauhari Jambak, M. Irfan Jambak, Muhammad Irfan Jambak, Muhammad Irfan Lim Pai Hung Lim Pai Hung M. I. Jambak Mahmood, W. M. S. W. Maulana, Muhammad Bintang Meily P Agustini Mohd Qamarul Arifin Rusli Muhamad Haddin Muhammad Abu Bakar Sidik Muhammad Abu Bakar Sidik Muhammad Abu Bakar Sidik Muhammad Abu Bakar Sidik Muhammad Abu Bakar Sidik Muhammad Abu Bakar Sidik Muhammad Faizal Muhammad Irfan Jambak Muhammad Khosyi&#039;in Muhammad Khosyi&#039;in Muhammad ‘Irfan Jambak Muhammad ‘Irfan Jambak Muhammad ‘Irfan Jambak Muhammadjavad Mobarra N. F. A. Isa Nor Asiah Muhamad Norain Sahari Pai Hung, Lim Putra, Dian Eka Putra, Dian Eka R. F. Kurnia Rizda Fitri Kurnia, Rizda Fitri S. M. Zafar Iqbal Shahroom, Hamizah Shahroom, Hamizah Shahroom, Hamizah Sidik, Muhammad Abu Bakar Sri Arttini Dwi Prasetyawati Sukemi Sukemi Syed Muhammad Zafar Iqbal W. M. S. W. Mahmood Yanuar Arief Yanuar Z. Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Z. Arief, Yanuar Z. Buntat Zolkafle Buntat Zolkafle Buntat Zulardiansyah Arief, Yanuar Zulkifli Azman Zulkurnain Abduk-Malek Zuraimy Adzis Zuraimy Adzis