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                  <text>VOL. 20, NO. 4 2022</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Compare between PSO and artificial bee colony optimization algorithm in detecting DoS attacks from network traffic </text>
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                <text>Artificial bee colony algorithm, DoS attack, Network security, Network traffic, Particle swarm optimization, Swarm intelligence technique, Wireshark</text>
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                <text>Our world today relies heavily on informatics and the internet, as computers and communications networks have increased day by day. In fact, the increase is not limited to portable devices such as smartphones and tablets, but also to home appliances such as: televisions, refrigerators, and controllers. It has made them more vulnerable to electronic attacks The denial of service (DoS) attack is one of the most common attacks that affect the provision of services and commercial sites over the internet. As a result, we decided in this paper to create a smart model that depends on the swarm algorithms to detect the attack of denial of service in internet networks, because the intelligence algorithms have flexibility, elegance and adaptation to different situations. The particle swarm algorithm and the bee colony algorithm were used to detect the packets that had been exposed to the DoS attack, and a comparison was made between the two algorithms to see which of them can accurately characterize the DoS attack. </text>
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                <text>Maha A. A. Mohammad, Muna M. T. Jawhar</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i4.23757</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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A proposed model for text and image encryption using different techniques</text>
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                <text>DCT techniques fourth, Information security second, Encryption, MSE, PSNR, RSA3k, XOR</text>
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                <text>Data security and protection is one of the most common technologies used in the field of computer science. This is because of its great importance in all fields related to daily life, whether political, economic, and other aspects change. In this research paper, a new intelligent system that concentrates on image and text encryption and decryption is proposed. Furthermore, the image recognition rate is increased. In this paper, the Rivest Shamir Adleman 3 key (RSA3k) algorithm is used but in a new technique to encrypt and decrypt text. The proposed technique relies on using square root of public key as private key. XOR operation for colored images encryption and decryption is performed. By calculating signal to noise ratio (PSNR), mean square error (MSE), and bit error rate (BER), the most important things that we address how to provide data security for large data based on encryption techniques and increase the security of multimedia data and texture date and address the problem of time and accuracy in image matching. the results show that the quality of images after decryption is good. </text>
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                <text>Shihab A. Shawkat, Israa Al-Barazanchi</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i4.23367</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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                  <text>VOL. 20, NO. 4 2022</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Design of traceability system models for potato chips agro-industry based on fuzzy system approach </text>
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                <text>Identification of recorded information is the most important requirement for developing an effective traceability system. This paper aimed to develop an information technology (IT)-based traceability system combined with an intelligent system in potato chips agro-industry. In this paper, we present a business process in potato chips agro-industry which consists of three activities, i.e. raw materials receiving, processing, and warehousing of final products. First of all, a traceability system architecture was developed. To develop computational models, quality, food safety and environment criteria using fuzzy inference system (FIS) and adaptive neuro fuzzy inference system (ANFIS), and intelligent decision support system (IDSS) traceability model using android front end. An internal information capture point was identified for each step and corresponding traceability information to be recorded was determined. Furthermore, a prototype IDSS was developed to represent method of information modeling on products, processes, quality, and transformation at each node in potato chips agro-industry. In this study, intelligent systems have been developed for decision making in quality control good agricultural practices. </text>
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                <text>Ririn Regiana Dwi Satya, Eriyatno,  Andes Ismayana, Marimin</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i4.23316</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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Design visual studio based GUI applications on-grid connected rooftop photovoltaic measurement </text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i4.23302</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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Simulation model of ANN and PID controller for direct current servo motor by using Matlab/Simulink</text>
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                <text>In the current era, researchers have been active in confirming and achieving their work through simulation using the computer program Matlab, in addition to the comparison between different control methods is also one of the prevailing behaviors, and the focus has been on the use of electrical machines in industry through multiple applications. Researchers in this study selected type of electric motors and two types of control systems for comparison, and to verify the possibility of improving the system’s work performance through the simulation results, the process of achieving the objectives of the current research is carried out. This paper presents using conventional proportional-integral-derivative (PID) controller and artificial neural networks (ANN) with direct current servo motor (DCSM) in order to&#13;
obtain good performance characteristics because of efficient and widely use of this motor in the fields of control. The motor model in addition to the controller is built using Matlab simulation software. A comparison was made between these controllers (PID and ANN), where the simulation results indicate that the neural networks being developmental in the process of simulating the operation of the servo motor type and got good performance and better results from the traditional real-time console use case. </text>
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                <text>Hashmia S. Dakheel, Zainab B. Abdullah, Najat Shyaa Jasim, Salam Waley Shneen</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i4.23248</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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              <elementText elementTextId="46630">
                <text>ISSN: 1693-6930</text>
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Modeling and analysis of millimeter-wave propagation in dusty environments</text>
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                <text>In the fifth generation of wireless communication systems (5G),&#13;
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                <text>Farhad E. Mahmood, Fawaz Y. Abdullah</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i4.23245</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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Secure quantum key distribution system by applying decoy states protocol</text>
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                <text>Secure quantum key distribution (QKD) promises a revolutionizing in&#13;
optical applications such as encryption, and imaging. However, their&#13;
implementation in real-world scenarios continues to be challenged. The goal of this work is to verify the presence of photon number splitting (PNS) attack in quantum cryptography system based on BB84 protocol and to obtain a maximum secure key length as possible. This was realized through randomly interleaving decoy states with mean photon numbers of 5.38, 1.588, and 0.48 between the signal states with mean photon numbers of 2.69, 0.794, and 0.24. Experiment results show that a maximum secure key length obtained from our system, which ignores eavesdropping cases, is 125 with 20% decoy states and 82 with 50% decoy states for mean photon number of 0.794 for signal states and 1.588 for decoy states. </text>
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                <text>Sura Adil Abbas, Nael A. Al-Shareefi</text>
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              <elementText elementTextId="46598">
                <text>DOI: 10.12928/TELKOMNIKA.v20i4.22796</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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                <text>Sri Wahyuni</text>
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Type-1 and type-2 fuzzy logic-based space vector modulation for two-level inverter fed induction motor </text>
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                <text>Two-level inverter control with type-1 and type-2 fuzzy logic-based space vector pulse-width modulation (PWM) method for induction motor drive (IMD) is presented in this paper. A new sampling time independent strategy with type-1 and type-2 fuzzy based methods are used in generating three phase duty ratios which are directly obtained without mathematical equations. The conventional method of space vector modulation (SVM) produces the duty ratios for the inverter which are sampling time dependent. However, in type-1 and type-2 fuzzy based space vector PWM algorithms, the three phases duty ratios generated are sampling time independent and with a new integrated dead-time insertion in SVM itself, can be implemented practically for any switching frequency. As the rule-base for Mamdani non-singleton interval type-1 and type-2 fuzzy inference systems are designed manually, with the expert knowledge of conventional space vector PWM, the duty ratios of the inverter are generated such that the performance of the IMD is improved. The simulation studies for aforementioned cases is performed in matrix laboratory (MATLAB) and experimental validation for the proposed space vector PWM algorithms is validated using real-time&#13;
sacraetheologiae magister (STM) hardware with STM32F429I Cortex M4 processor for a 1 hp IMD. </text>
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                <text>Abhiram Tikkani, Polaki V. N. Prasad</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i4.22454</text>
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                <text>Sri Wahyuni</text>
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A sink based data gathering technique by using clustering for wireless sensor networks</text>
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                <text>New advance and integrated technologies have changed the traditional&#13;
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novel data gathering techniques called a sink based data gathering&#13;
techniques (ASDG) to collect the data from the sensor nodes and further&#13;
send for decision making. Experimental results show that proposed&#13;
techniques is better than existing techniques and provide more efficient data delivery ratio with more network lifetime. The results also indicated that when using the proposed technique, the no of dead sensor nodes are less as compared to the existing ones at different rounds.</text>
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                <text>Yousra Abdul Alsahib S. Aldeen, Haider Mohammed Abdulhadi</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i4.22181</text>
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                <text>Sri Wahyuni</text>
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