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PROtek : Jurnal Ilmiah Teknik Elektro
Published by Universitas Khairun
ISSN : 23548924     EISSN : 25279572     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy
PROtek adalah jurnal ilmiah teknik elektro yang pertama kali dipublikasikan pada September 2013. Jurnal PROtek berada di bawah asuhan Program Studi Teknik Elektro Fakultas Teknik Universitas Khairun, yang merupakan wadah ilmiah untuk menyebarluaskan hasil-hasil penelitian dan kajian analisis yang berkaitan dengan bidang keilmuan sistem tenaga listrik, teknik kendali, telekomunikasi, elektronika, dan teknologi informasi.
Arjuna Subject : -
Articles 407 Documents
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Mathematical Representation for speech signal based on ‎polynomial equation Alasaad, Entesar; Alsaif, Khalil I.
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.7352

Abstract

The sound is an important vital information that it relies to recognize the character when lessening to it. Therefore, the audio signal adopted into many important applications. Sound forming and synthesizing in addition to distinguishing the speaker are so important in fields of digital signal processing. In this paper, work is done to represent acquired acoustic signal based on mathematical techniques. Mathematical representation provides  deal with the sound signal which lead to smoothing, amplification or compression, in addition to the sound filtering process. In the proposed algorithm, polynomials of various degrees were adopted as a mathematical representation for speech signal, then the retrieved speech was studied based on level of clarity and the possibility of adopting it as an alternative signal in terms of the proximity to the original sound and the amount of noise added to it.  The results shows that the proposed algorithm with degree of polynomial 20 and segment length 25 had the best sound representation and so closed to the original, which clearly seen from the evaluation parameters (Correlation=0.9993, Mean squared error(MSE) =1.32e-06, Standard deviation(STD)=1.80e-05 and the Euclidean dimension(ED) =0.1703).
Analysis of the Effect of Winding Wire Cross-sectional Area and Rotating Speed on the Efficiency of 18 Slot 16 Pole Permanent Magnet Synchronous Generator Delafena, Irfan; Liliana, Liliana
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6209

Abstract

The potential of renewable energy in Indonesia is very large with a total of 3,643.0 GW. One of them is wind energy, the huge potential of wind energy which is 154.9 GW is very wasted if it is not optimized as well as possible. The biggest obstacle to utilizing wind potential is low wind speed in some areas in Indonesia. So an effective generation system is needed to produce efficient output. A permanent Magnet Synchronous Generator (PMSG) is very suitable for use in areas of potential low-speed winds because low rotation can produce good efficiency. The output value of the Permanent Magnet Synchronous Generator (PMSG) is currently still low and can still be improved, for this research will analyze the broad influence of the cross-section of the winding wire on the stator on the efficiency of the 18 slots 16 poles Permanent Magnet Generator with rotational speed based on wind speed in Indonesia. Variations were carried out on a cross-sectional area of 0.6 mm2-3.6 mm2 winding wire and rotating speeds of 500 rpm, 750 rpm, and 1000 rpm. By using MagNet Infolytica 7.5 software based on Finite Element Method (FEM) to obtain output values in the form of voltage, current, and torque.  For efficiency values, data is reprocessed using Microsoft Excel. The results of this study show that the value of efficiency increases. The best efficiency produced when the rotating speed is 500 rpm is 97.04% at a cross-sectional area of 2.6 mm2 winding wire, for a rotating speed of 750 rpm the efficiency reaches 97.24% at a cross-sectional area of 2.4 mm2 winding wire and at a rotating speed of 1000 rpm the resulting efficiency is 97.16% at a cross-sectional area of 2.4 mm2 winding wire.
Low Intricacy‎ Multistage Algorithm for Underwater Image Enhancement Al-Ameen, Zohair; Ahmed, Ahmed A.
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6888

Abstract

Humanity currently lives in a technological era that witnesses rapid progress in multiple fields. Digital image processing is one of the modern technologies that has provided practical answers to many challenges including image enhancement, analysis, reconstruction, recovery, compression, processing, and understanding. One of these notable challenges relates to underwater photography. Underwater images are always exposed to less-than-ideal conditions due to environmental and physical factors. These include refraction of light in water, scattering of particles and dust in the aquatic medium, lack of illumination in deep water, and poor contrast. These challenges make it extremely difficult to analyze and extract valuable information without advanced processing.  In this study, an improved color balance-fusion algorithm is provided by improving the image visuality and modifying some equations to obtain sharper and clearer images. The proposed algorithm begins by finding the white balance of the input RGB color image, after that, it improves the intensity. Next, the edges are improved using Gamma separately. The weights are then found for each image and combined to find naive fusion. The resulting image is processed using a color retrieval algorithm to produce the final image. along with comparisons to eleven other algorithms with various processing methods. Experimental results showed that this algorithm can significantly improve underwater images, increasing image clarity and making colors clearer. The improvement rates reached 5.8389 and 2.6778 for UISM and UICM metrics, respectively.
Electricity Potential by Bioethanol Fuel from Pineapple Skin Waste, Kualu Nanas Village, Kampar Regency, Riau Varkhan Bijaksana; Nanda Putri Miefthawati
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 3 (2023): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i3.6263

Abstract

Kualu Nenas was a pineapple producer in Riau who produced 4 tons of pineapples a day. This production produced 36 tons of waste per month. This waste created problems for the environment, including odor and methane gas, whereas pineapple peel waste included glucose, which can be used to produce bioethanol. This study aimed to analyze the bioethanol potential of pineapple peel and the potential for electricity and power, calculate the values of TFC and SFC, and determine the efficiency of the fuel mixture, which was tested on an 8 kW generator in 30 minutes. This research uses fermentation and distillation methods, which are simulated by a superpro designer. From the research conducted, the potential for bioethanol was 6,262.63 L/month or 68,871.54 L/year with an ethanol content of 99.9995% and 0.0005% water. The electricity is 75.39 MWh/month for E0, 71.98 MWh/month for E10, and 46.88 MWh/month for E100. The power potential generated is 3.14 MW/month for E0, 2.99 MW/month for E10, and 1.95 MW/month for E100. From testing with an 8 kW generator, the TFCs of E0, E10, and E100 fuels were 0.834, 0.835, and 0.839 liters/hour, respectively. While the SFC of E0, E10, and E100 fuels were 0.1043, 0.1044, and 0.1049 liters/hour, with efficiencies of 50.82%, 52.98%, and 80.95%.
Analysis of Bio-briquette Electrical Energy from The Utilization of Combustion Ash in A Boiler Furnance (Ash Boilers) PKS PT. ADEI PLANTATION & INDUSTRY, MPOM Prayetno, Tansyah; Jelita, Marhama
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.7174

Abstract

PT. ADEI PLANTATION INDUSTRY is a palm oil processing factory that has a plantation area of 11,047 hectares. This factory produces solid and liquid waste. solid waste is reused as boiler fuel and liquid waste is used for biogas. Combustion in the boiler produces boiler ash, 70% of which is used as organic fertilizer and the remaining 30% is simply thrown away. This research aims to utilize boiler ash waste in bio-briquettes and determine the electrical energy potential of bio-briquettes using the carbonization combustion method in boiler furnaces (boiler ash). The test results for the calorific value of bio-briquettes from the use of residual ash from combustion in boiler furnaces (boiler ash) were 2,214.99 cal/gr. From 1 kg of boiler ash, 11 pieces of bio-briquettes weighing 100 gr/piece, with a calorific value of 24,364 cal/gr, are produced. PT. ADEI PLANTATION INDUSTRY in one day produce 7,536 tons of boiler ash, which will produce 82,896 pieces of bio-briquettes with a heating value of 179,903,776 cal/gr, a total flow rate of heat energy of 792,020 Watts and electrical energy of 950,424 kWh. From the PLTU efficiency of 5.12%, the potential electrical energy produced in one month is 28,512,720 kWh with 188.4 tons of boiler ash and 2,261 tons of boiler ash in 1 year has the potential to become 346,904,760 kWh of electricity. The electrical energy potential of bio-briquettes can meet the needs of 70% of the electricity load at PT. ADEI PLANTATION INDUSTRY, MPOM
Design and Construction of Batik Drawing Machine with an Arduino-based CNC System Sitompul, Erwin; Ardanta Yoga, Raden Hilary; Galina, Mia
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.6057

Abstract

Technology continues to develop, especially in the world of manufacturing. Processes done manually by humans are replaced gradually by machines through automation. This paper proposes a batik drawing machine with Arduino-based computer numerical control (CNC). The intention is to reduce the production of small-sized batik products by eliminating the sketching process of the batik design on the fabric. Besides, the expertise in using canting, a pen-like tool, to apply the liquid wax on the fabric will not be required. A prototype of a batik drawing machine was designed and constructed using main components such as Arduino Mega 2560, NEMA17 HS4401 stepper motor, and RAMPS 1.4 controller board. The batik design data is to be prepared by using a graphic editor, computer-aided design (CAD), and computer-aided manufacturing (CAM) software. After several trials, the best setting for the canting temperature was found to be 112 °C with a drawing speed of 25 steps/mm and a 3 mm distance between the cloth and the tip of the canting. Three batik designs with different difficulty levels were tested for fabric printing. The fabrics were colored to obtain the final results. The batik products with a diameter of up to 450 mm can be finished satisfactorily
A Deep Learning Approach for Recognizing the Noon Rule for Reciting Holy Quran Osman, Hanaa Mohammed; Mustafa, Ban Sharief; Mahmood, Basim Mohammed
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.7026

Abstract

Ahkam Al-Tajweed represents the most precious religious heritage that is in critical need to be preserved and kept for the next generation. This study tackles the challenge of learning Ahkam Al-Tajweed by developing a model that considers one of the rules experienced by early learners in the Holy Quran. The proposed model focuses, specifically, on the "Hukm Al-Noon Al-Mushaddah," which pertains to the proper pronunciation of the letter "Noon" when it is accompanied by a Shaddah symbol in Arabic. By incorporating this rule into the proposed model, learners will benefit the model because it will improve their Tajweed skills and facilitate the learning process for those who do not have access to private tutors or experts. The proposed approach involved three models namely, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Random Forest models in the context of a classification task. The models were evaluated based on their validation accuracy, and the results indicate that the CNN model achieved the highest validation accuracy of 0.8613. The other contribution of this work is collecting a novel dataset for this kind of study. The findings show that the Random Forest model outperformed the other models in terms of accuracy.
Power Performance Evaluation of Standalone Renewable Energy Source Energy Management Using Pass Filter Indah Sulistiyowati; Jamaaluddin Jamaaluddin; Izza Anshory
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 3 (2023): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i3.6082

Abstract

Hybrid energy storage systems have shown promise in enhancing solar panel systems reliability and efficiency. However, managing the power distribution balance with multiple energy storage units remains a challenge. This research addresses power distribution balancing during solar irradiation intermittency by employing a first-order filter with lowpass and highpass characteristics. The study aims to investigate energy and power management issues for off-grid electrical systems using this filter. Results from numerical simulations and experiments with a hybrid energy storage setup comprising a battery and supercapacitor show that the first-order filter effectively allocates the first-order signal to the main energy storage and subsequent orders to the supporting energy storage. During increased intermittency, the battery contributes 62 W and stores 387 W, while the supercapacitor contributes 167 W and stores 297 W. Conversely, during reduced intermittency, the battery stores 390 W and contributes 62 W, and the supercapacitor stores 295 W and contributes 164 W. The findings demonstrate the filter's efficacy in optimizing power distribution balance within hybrid energy storage systems. However, using the supercapacitor as the main energy storage does not result in higher power efficiency compared to the battery. In conclusion, the First Order Filter presents a viable solution for addressing power distribution challenges in hybrid energy storage systems, contributing to improved energy and power management for off-grid electrical systems. Further research on cost-effectiveness, maintenance, and environmental impact is warranted for practical implementation
On-Grid Photovoltaic (PV) - Battery - PLN for Smart Home System Abdurrahman, Tanridio Silviati Delfina; Basalamah, Abdullah; Salmiah, Salmiah; Rahman, Muhammad Natsir
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.7089

Abstract

Electricity is one of basic human needs. However, PLN's ability to meet customer demands is hampered by its limitations. On the other hand, the sunny geographical advantage of Makassar city can be utilized as a new renewable and environmentally friendly energy source in a smart home. Smart house is a family residence that is able to synergize electricity usage based on the habits of its residents with the help of smart technology so that comfort, safety and efficiency of using electrical energy are obtained. The utilization of solar cell hybrid power – battery – PLN can be implemented in addition to meeting the needs of electricity load in the smart home, it can also contribute excess energy to fulfill off-grid building load.  Monte Carlo Simulation (MCS) is carried out at the beginning of data processing by randomly generating 24-hour models of solar irradiance and smart home load requirements along with weather conditions. PLN not only takes over fulfilling the needs of the smart home load when there is less and or no sunlight and minimum battery capacity conditions, but also it will charge the battery capacity up to 100% every midnight. On average, the daily load requirement for a smart home is almost half the energy produced by PVs, which are 12,439 kW and 24,509 kW respectively. Furthermore, the smart home hybrid power is capable of producing 8,946 MW of excess energy in a year to serve the off-grid building load needs.
Prototype of Safety System Monitoring on Komatsu PC 200-7 Excavator Using Microcontroller Pratama, Dio Wahyu; Ariandi, Muhamad
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6534

Abstract

PC200-7 Excavator is a type of excavator that still does not have an effective and efficient safety system monitoring in knowing the oil level and overheating that occurs. Given this, researchers designed and made a prototype of a tool that could later be applied to the excavator industry, by adding several sensor components such as ultrasonics and thermocouples that are useful for checking hydraulic oil levels so that drivers do not struggle to check manually and check the temperature on the engine to avoid overheating by setting a normal temperature height limit. If it exceeds the normal temperature limit, the engine of the excavator will die. To prevent damage to the engine, the temperature on the prototype was made a limit of 40 oC. If there is a human behind the excavator, it will be detected with a distance of 200 cm by the ultrasonic sensor. So that the results obtained are able to monitor the oil level, if less than the specified limit of 3cm, and the temperature on the engine will be automatically detected if the engine temperature is above 40 oC automatically turns off and gives a warning to the driver in the cabin in the form of a writing message and sound from the buzzer. For the detection of human objects behind the excavator will be active if there is a human object with a distance of less than 200 cm, then the buzzer will turn on, then give a notification writing on the LCD in the cabin and the excavator will stop, but the engine still starts. In this research method, measurements and calculations will then be compared with  datasheets. Calculation results were obtained for Ultrasonic sensors 5.16 VDC, for Thermocouple sensors 3.148 VDC. and for RFID 3.278 VDC

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