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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 19 Documents
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Search results for , issue "Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro" : 19 Documents clear
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 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.
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.
Comparative Analysis of Electrical Energy Potential from Coconut Dregs Biobriquettes Using the Pyrolysis Method with Biomass and Direct Burning Types Sutanto, Bintang; 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.v11i2.6923

Abstract

Riau is the province that produces the largest coconut in Indonesia, in 2019 coconut production in Riau reached 417,172.00 tons / year with coconut production of that amount producing a lot of waste as well, one of which was coconut pulp waste of 56,943 tons. If left alone, coconut pulp waste can have a negative impact on the environment. The purpose of this study is the use of coconut pulp waste as biobriquettes and the potential of electrical energy generated in Riau. The method of making biobriquettes uses the Pirolysis method with different types of combustion, namely biomass combustion and direct combustion, the results of this study are experiments conducted from 500 grams of coconut pulp to produce biobriquettes in biomass combustion which is 360 grams and in direct combustion of 240 grams. Characteristic testing is carried out manually, using biomass stoves and biobriquettes as fuel. Biomass combustion is obtained calorific value of 229.16 cal / gram, thermal efficiency of 7%, electrical energy conversion of 0.26655 kWh and electrical energy produced in Riau Province in 2019 which is 173,432,957.3 kWh. Meanwhile, direct combustion obtained a calorific value of 216.6 cal / gram, thermal efficiency of 6%, electrical energy conversion of 0.2518 and electrical energy in Riau province of 109,314,879.6 cal / gram. It can be concluded that biomass combustion is better than direct combustion. 
Comparative Analysis of the Quality and Electrical Energy of Wood Waste Briquettes with Natural (Starch) and Synthetic Adhesives (Synthetic Rubber Adhesive) Arnando, Vito; 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.v11i2.7153

Abstract

On average, small and medium-scale wood processing industries produced at least 2 to 4 cubic meters of wood a day, this production produced 0.25 to 2 m3 of wood waste a day. In fact, this waste can be used as a renewable energy source by processing it into briquettes. This research will produce wood waste briquettes using the pyrolysis method from two types of adhesive, namely starch and synthetic rubber adhesive with a composition ratio of 3:1. Apart from that, the resulting briquettes were tested using a bomb calorimeter to obtain the calorific value, water content, ash content, and volatile matter content, and then compared with the SNI 01-6235-2000 standard. The resulting briquettes were then calculated using mathematical calculations for the potential electrical energy they could generate. From laboratory tests, the calorific value, water content, ash content, and volatile matter content of natural adhesive briquettes were obtained at 5194.44 cal/g, 11.3%, 1.36%, and 40.8%, while synthetic adhesive briquettes respectively had values of 6369.46 cal/g, 4.33%, 2.74%, and 25.54%. From these results, synthetic adhesive briquettes had better calorific value, water content, and volatile matter content compared to natural adhesive briquettes. Apart from that, synthetic adhesive briquettes also had greater energy potential with an energy potential of 7,407 kWh/kg compared to briquettes with natural adhesives which only had a value of 6,041 kWh/kg. Thus it can be concluded that synthetic adhesive briquettes are better quality compared to natural adhesive briquettes because they can generate greater energy, and meet 3 of the 4 test parameters based on SNI while natural adhesive briquettes only meet 2 of the same 4 test parameters
Implementation Of Remote Hand Tractor Control Device With The Use Of Solar Panels As Battery Charging Hidayatullah, M Wahyu; Ariandi, Muhamad
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.v11i2.6750

Abstract

Technological progress has developed very rapidly along with the times. The hand tractor is a form of technological progress in agriculture. The use of hand tractors for processing agricultural land has replaced the function of buffalo in tillage activities because they are far superior in terms of effectiveness and efficiency. The hand tractor with a remote control system using flysky is the latest innovation created with the hope of increasing effectiveness and efficiency, as well as safety. and operator comfort in operating the hand tractor. With the application of solar panels as a charger for remote tractor control devices, this can save the use of electrical energy, this tool has proven successful in trials. Thus, this automated solution has the potential to increase productivity and efficiency in agriculture. System Performance When Using a Tractor. Through testing with 3 trials (6 hours, 7 hours, and 8 hours), the battery voltage remained above 12V. The combination of batteries and solar panels used ensures the system operates well during tractor use.
Scalability and Performance Analysis of LoRaWAN Networks for IoT Implementation: Comprehensive Review and Research Agenda Mujahidin, Irfan; Reynaldi, Rindang
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.v11i2.6377

Abstract

The surge in IoT devices has created the need for a scalable and high-performance network infrastructure capable of handling massive data flows and diverse application requirements. Among the various wireless technologies available, with long-range communication capabilities, low power consumption, and cost-effectiveness, the Low-Power Wide-Area Network (LPWAN) has emerged as a highly popular choice for numerous applications. This literature review aims to provide a comprehensive overview of recent developments in scalability and performance analysis of LoRaWAN networks for IoT implementation by reviewing existing research and identifying key challenges and opportunities for the research agenda. In the research on LoRaWAN performance in IoT, five characteristics have been proven and become factors for using LoRaWAN in IoT: low energy power usage, wide coverage, low cost, stable data transmission speed, and system reliability. However, not many have discussed its security. Based on the literature review, LoRaWAN does have some characteristics that make it suitable for large-scale IoT applications. This review will contribute to advancing knowledge in this field, enabling the development of scalable and high-performance IoT systems to meet the demands of the growing IoT ecosystem
Speedy Vision-based Human Detection Using Lightweight Deep Learning Network Aktama, Gede Erik; Manoppo, Franky; Simbolon, Rosdiana; Laloan, Adityo Clinton; Sumendap, Andreas; Putro, Muhamad Dwisnanto
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.v11i2.7030

Abstract

Person detection plays a role as the initial system of video surveillance analysis with various implementations, such as activity analysis, person re-id, behavior analysis, and tracking analysis. The demand for efficient models drives a deep learning architecture with a superficial structure that can operate in real-time. You look only once (YOLO) object detection has been presented as an accurate detector that can operate in real-time. The speed limitation, huge computation cost, and abundant parameters still leave vital issues to improve the efficiency of this architecture. Lightweight human detection is proposed by utilizing the YOLOv5n framework. Modifying layer depth promotes a detection system that can operate fast and without stuttering. As a result, the proposed detector has satisfactory performance and is competitive with existing models. It achieves a mAP of 45.2%, closely competing with other person detectors. Additionally, it can run fast without stumbling at 26 frames per second. The detector's speed offers the advantage of this work that it can be feasibly implemented on a cpu device without a graphics accelerator.

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