Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, Power Distribution, Power Conversion, Protection Systems, Electrical Material 3. Signals, Systems, and Electronics: Digital Signal Processing Algorithm, Robotic Systems and Image Processing, Biomedical Instrumentation, Microelectronics, Instrumentation and Control 4. Communication Systems: Management and Protocol Network, Telecommunication Systems, Wireless Communications, Optoelectronics, Fuzzy Sensor and Network
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<![CDATA[Pemodelan Pembangkit Listrik Tenaga Bayu Kecepatan Variabel untuk Analisis Aliran Daya ]]>
<![CDATA[Rudy Gianto]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.1749
<![CDATA[The use of variable speed wind turbines (pembangkit listrik tenaga bayu, PLTB) for electricity generation has increased. It contrasts with the fixed-speed PLTB, whose usage is decreasing. The major reason for PLTB’s rapid development is that it has better wind power extraction or collection capabilities than the fixed-speed PLTB. Variable speed operation in a PLTB can be achieved using a doubly-fed induction generator (DFIG) application as the primary energy converter. The crucial initial step in investigating and analyzing power system containing PLTB that must be done is modeling all the components of the power system (including PLTB). An analysis of this power system is mostly conducted to evaluate its performance or appearance. This paper discusses the DFIG-based modeling of the variable speed PLTB to be applied in a power flow analysis of electric power systems. The proposed PLTB model was obtained based on formulas that calculate the power and power losses of the PLTB. The typically challenging power electronics converters modeling of DIFG was not required during the process of building the model. It differs from the previously reported methods in which two different models must be used to accommodate the power flow analysis in subsynchronous or super synchronous conditions. In this paper, the DFIG-based PLTB is represented through a mathematical model. This model could be used to express the DFIG, either in the subsynchronous or super synchronous conditions. It was subsequently integrated into the power flow analysis to evaluate the system’s steady-state performance. The results of this case study will be further presented in this paper. In this study, the application of the proposed methods in the interconnected powers system containing PLTB was then examined. The results confirm the validity of the proposed DFIG model.]]>
<![CDATA[Rekayasa Fitur Berbasis Machine Learning untuk Mendeteksi Serangan DDoS ]]>
<![CDATA[Muhammad Nur Faiz]]>;
<![CDATA[Oman Somantri]]>;
<![CDATA[Arif Wirawan Muhammad]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.3423
<![CDATA[Distributed network attacks, also known as distributed denial of service (DDoS) are a major threat and problem for internet security. DDoS is an attack on a network aiming to disable server resources. These attacks increase every year with the current state of the COVID-19 pandemic. One of countermeasures to minimize the DDoS impact is the intrusion detection system (IDS) command. IDS techniques are currently still employing traditional methods so that they have many limitations compared to techniques and tools used by attackers because traditional IDS methods only use signature-based detection or anomaly-based detection models which cause many errors. Network data packet traffic has a complex nature, both in terms of sizes and sources. This research utilized the ability of artificial neural network (ANN) to detect normal attacks or DDoS. A classification technique with ANN method is a solution to these issues. Based on the shortcomings of the traditional IDS, this study aims to detect DDoS attacks using feeder machine learning-based feature engineering techniques to improve the IDS development. Using the UNSW-NB15 dataset with the ANN method, this study also aims to analyze and obtain training function combinations and the best hidden layer architectures of ANNs to solve the detection and classification problems of DDoS packets in computer networks. As a result, the training function combinations and hidden layer architectures of the ANN can provide a high level of DDoS recognition accuracy. Based on experiments conducted with three schemes and an ANN schema architecture technique with eight features as input, the highest accuracy was 98.22%. Feature selection plays an essential role in detection result accuracies and machine learning performances in classification problems.]]>
<![CDATA[Perencanaan Pengembangan Pembangkit Sistem Muna-Buton dengan Mempertimbangkan Sistem Interkoneksi ]]>
<![CDATA[Ahmad Fatana]]>;
<![CDATA[Sarjiya]]>;
<![CDATA[Lesnanto Multa Putranto]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.3508
<![CDATA[Electrical energy consumption has increased annually. It is in line with the fulfillment of electricity sales for the last five years (2013-2017) with a 5.1% growth per year. Muna and Buton are large islands in Southeast Sulawesi with a population of 360,682 and an area of 7,712.18 km2. Muna and Buton are two main cities in Southeast Sulawesi that are developing rapidly. Those two regions are relatively rich in natural potential, promoting local economic growth. The primary source of electricity for both regions is Buton. Current electricity consumption in Muna and Buton is relatively high, with a peak load of 37 MW primarily fulfilled by diesel power plants (pembangkit listrik tenaga diesel, PLTD) of 30.15 MW. The government's target to achieve a new renewable energy mix (NRE) of 23% in 2025 and 31% in 2050 is contrary to the situation of generations in Muna and Buton, which is currently still dominated by PLTD. The planning was conducted by looking at its effect on the cost of generation construction, reserve margin, energy mix, and total cost. The desired optimization value was achieved through several performed scenarios, i.e., an isolated or pre-interconnection scenario, assuming each system was separated, and an interconnection system, assuming that interconnection was performed in Muna and Buton system. The optimization method was carried out using mixed-integer linear programming (MILP) by employing the OSeMOSYS software platform. The optimization results show that the Muna-Buton generation expansion planning has been successfully carried out. Of the several performed scenarios, the scenario with the interconnection system can be selected as the best option. It is based on the total cost value and reduced generation costs of 1,073 IDR per kWh in 2022 and 1,362 IDR per kWh in 2047, with an average of 1,202 IDR per kWh.]]>
<![CDATA[Evaluasi Laman Penerimaan Mahasiswa Baru dengan WebQual 4.0 dan Importance-Performance Analysis ]]>
<![CDATA[Aditya Gusti Mandala Putra]]>;
<![CDATA[Dinan Yulianto]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.3522
<![CDATA[An evaluation of the website quality must be considered on an ongoing basis by an institution because the website quality is part of the institution’s image in cyberspace. As a higher education institution, Universitas Ahmad Dahlan (UAD) utilizes the website in the new student admission (NSA) process. Referring to the initial review process using a Blackbox method, it was found that the UAD NSA website had a function that was not working properly. It was also identified that the information content of the registration process displayed was incomplete. This study aims to determine the quality of the UAD NSA website based on the interpretation of the end-users with instruments adopted from the WebQual 4.0 method including usability quality, information quality, and service interaction quality variables. The evaluation process began with the instrument testing which included validity and reliability testing. The process of WebQual 4.0 statistical test was carried out through classical assumption testing which included normality, autocorrelation, multicollinearity, heteroscedasticity testing, t-test, and f-test. The final evaluation process was an importance-performance analysis (IPA) test with the level of conformity, gap, and quadrant analysis between performance and expectations. The results of testing the validity and reliability of 23 instrument items by 100 respondents got an overall value of rtable greater than the value of rcount, which was 0.195, and Cronbach’s alpha value was greater than 0.6 so that the research instrument was valid and reliable. The results of the test involving 250 respondents obtained WebQual 4.0 statistical results, each independent variable (A) partially and simultaneously correlated with the dependent variable (B). The results of the IPA quadrant test indicates that the A2.5 variable related to providing easy-to-understand information needs to be optimized by NSA and web service managers at UAD.]]>
<![CDATA[Pemodelan Data Relasional pada NoSQL Berorientasi Dokumen ]]>
<![CDATA[Muhammad Riza Alifi]]>;
<![CDATA[Transmissia Semiawan]]>;
<![CDATA[Djoko C.U. Lieharyani]]>;
<![CDATA[Hashri Hayati]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.3704
<![CDATA[Data management technology that continues to develop and boost the popularity of document-based not only structured query language (NoSQL) has become the most-used data model. Behind its popularity, data management technology offers an intriguing advantage, namely flexible data storage, whether in terms of data forms and sizes or structured and unstructured data. However, this data modeling flexibility has its challenge due to its impact on more complex scheme creations, without being accompanied by any need-based design patterns. This study aims to model relational data on the document-based NoSQL at its conceptual, logical, and physical levels. The conceptual design was developed based on processes, rules, and business requirements. The logical and physical designs were developed based on the extended references and computed design patterns determined from the operating workload. The relational data model design on the document-based NoSQL was successfully formed using the entity relationship diagram (ERD) with Chen notation for the conceptual, and collection relationship diagram (CRD) for both logical and physical levels. The conceptual design focused on the representation of entities, attributes, and relationships. Unlike the conceptual design which tends to be abstract, the focus of the logical design is on the collection schema (embedded and reference) representation, including design patterns influenced by the formation of relationships. Furthermore, the focus of physical level design is to represent the schema in a more concrete form. The physical design is almost the same as the logical one, the difference lies only in the detail addition for data types and structures. The evaluation of data model designs was also carried out for each level. This study contributes to designing a data model with the advantage of read-intensive capability since a joint operation among collections is not required and the computation process recurrence for derivative attributes is not necessary.]]>
<![CDATA[Sistem Deteksi Penyalahgunaan Promosi Menggunakan Metode Similarity dan Penilaian Risiko ]]>
<![CDATA[Cut Fiarni]]>;
<![CDATA[Arief Samuel Gunawan]]>;
<![CDATA[Ishak Anthony]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.3743
<![CDATA[Offering promotion coupons is one of the most popular strategies of online marketing to attract new customers and increase customer loyalty. However, this strategy opens chances for fraud risk as the coupons are being redeemed multiple times using fake accounts. This risk becomes a burden to marketing costs and leads to failure to accomplish the intended strategic value. Therefore, this research focuses on building an automatic detection system of online promotion abuse based on its risk level. The proposed system also must work on live stream and bulk data. Therefore, in live stream data, it could alert the administrator before the transaction finished or the next process started. After conducting an exploratory factor analysis of the 24 attributes collected from four tables of data transaction, there were seven attributes indicating promotion abuse. These attributes were the user IP address, shipping address, mobile number, member email, order email, payment ID, and product name. Then, supervised machine learning of similarity algorithms was used to build models and find the hidden correlation of attributes to indicate the promotion abuse. The result from comparing five similarity methods showed that based on the workflow and performance, the most suitable methods for this case were exact match and Levenshtein edit base. The automatic risk scoring feature of the proposed system used seven attributes of online transactions as their most prominent promotion abuse parameter based on its hidden correlation. From the system performance testing, the result values of precision, recall, and F-measure are 95%, 93%, and 0.94, respectively. These results indicate that the system performance is satisfactory.]]>
<![CDATA[Kinerja Energy Detection Spectrum Sensing untuk Cognitive Radio Menggunakan GNU Radio ]]>
<![CDATA[Hudaya Muna Putra]]>;
<![CDATA[Sigit Basuki Wibowo]]>;
<![CDATA[Dyonisius Dony Ariananda]]>;
<![CDATA[Wahyu Dewanto]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.3757
<![CDATA[The increasing number of wireless communication applications has led to spectrum scarcity problems. On the other hand, the current system in allocating the spectrum frequency is inefficient. To mitigate this issue, a cognitive radio (CR) system is proposed. CR is a smart radio that is able to sense the environment, locate the spectrum holes, and adapt its transmission parameter to exploit the existing spectrum holes. This underlines the importance of the spectrum sensing module to enable the operation of the CR system. The objective of the spectrum sensing module is to achieve the best utility from the available spectrum frequency. CR system is implemented in the unlicensed secondary users allowed to rent the spectrum currently not used by primary users (PU). In this paper, energy-detection-based spectrum sensing is implemented on the GNU Radio platform. We first implement the power spectral density (PSD) estimation method based on the periodogram by exploiting the Embedded Python block facility on the GNU Radio. Next, we implement the spectrum sensing decision module in the GNU Radio, which compares the PSD estimate of the PU signals corrupted by noise with a threshold. The PU signal is simulated as a bandpass random process occupying a particular frequency band. The spectrum sensing decision module is developed to allow the computation of the probability of detection (PD) and the probability of false alarm (PFA), which is performed by exploiting the Embedded Python block. One indicator to evaluate the performance of the spectrum sensing module is the receiver operating characteristic curve based on the computed PD and PFA on the GNU Radio. We evaluate the performance of the spectrum sensing for different SNRs and thresholds. The result shows that the energy-detection-based spectrum sensing is able to locate the existence of the PU when the signal-to-noise ratio (SNR) is sufficiently high.]]>
<![CDATA[Analisis Kinerja Sensor TF-Mini LiDAR untuk Pengukuran Jarak ]]>
<![CDATA[Fardiansyah Nur Aziz]]>;
<![CDATA[Masduki Zakarijah]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.3814
<![CDATA[The digitalization development is accelerating, making it possible to measure the distance without touching the objects. Light detection and ranging (LiDAR) sensors are widely available on the market as components for distance measurement. Numerous studies on LiDAR sensor application have been conducted, including research on automated guided vehicle (AGV) robots, quadcopters, and tropical vegetation mappings. Previous research focused on LiDAR sensor application but did not evaluate its precision and features in depth. There are possibilities that the components’ performances do not conform with the technical data standards. This study presents the performance testing results of a TF-Mini LiDAR sensor for distance measurement. This TF-Mini LiDAR sensor testing used an experimental method. The sensor performance was determined by the maximum distance reading, accuracy level, objects’ color effect, tilt, and material type of objects being read. The testing results showed the TF-Mini LiDAR sensor had an accuracy rate of 3.17% in the range of 0.3 m to 6 m and 3.27% in the range of 6 m to 12 m, with a maximum reading distance of 10 m. Blue and iron were the most readable hue and material, with an average error rate of 2.78% and 3.2%, respectively. The distance reading results on flat objects with a tilt between 10° and 80° (quadrant 1) exceeded the actual distance as objects’ angle tilt increased, with the yielded error average of 7%. The average inaccuracy for flat objects with a tilt between 100° and 170° (quadrant 2) was 2.75%. Additionally, the distance reading accuracy improved as the objects’ degree of tilt increased. Based on the testing results, the TF-Mini LiDAR sensor could measure distances more precisely when the detected item was between 0.5 m and 10 m away, has a non-light-absorbing color and material, and is in the straight state.]]>
<![CDATA[Analisis Intensitas Energi Listrik dalam Menghemat Penggunaan Listrik di Fakultas Teknik UNG ]]>
<![CDATA[Sardi Salim]]>;
<![CDATA[Ade Irawaty Tolago]]>;
<![CDATA[Maharani R.P. Syafii]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.3836
<![CDATA[The electrical energy use in government buildings seems to pay less attention to electrical energy-saving provisions. Many rooms still have the lighting on during the day although the room has enough of sunlight. Using many air conditioners (AC) does not comply with the room volume and the number of people in the room. It leads to electrical energy waste, which is a problem at Universitas Negeri Gorontalo (UNG). The UNG household has reported that the electricity consumption in March 2021 was 65,291,330 VA. It greatly burdened the university’s operating costs budget (±60.30% of UNG’s household operating funds). This study aims to analyze the electrical energy use intensity and establish electrical energy use saving policies. The study was conducted at the Faculty of Engineering of UNG. The employed research method was the audit analysis of energy use intensity (EUI). The room lighting level according to the lighting and sunlight entering the room was directly measured with a lux meter and analyzed following the provisions of Indonesian National Standard (Standar Nasional Indonesia, SNI) 6197-2011. Electrical energy use in air-conditioned and non-air-conditioned rooms was analyzed using the EUI method. The energy use level refers to efficiency standards following the Regulation of the Minister of Energy and Mineral Resources No. 13 of 2012. The results showed that, on average, 23.43% of the 233 rooms had lighting intensity exceeding the SNI standard. The electrical power use in an air-conditioned room for 26 working days was 14.73 kWh/m2/mo. Based on the efficiency standards of the Minister of Energy and Mineral Resources Regulation, it falls into the moderately wasteful category. Electrical energy saving is conducted by implementing the room lighting system efficiency, and the use of AC with power complies with the standards of room coolness demands and the implementation of electrical energy saving life patterns.]]>
<![CDATA[Optimalisasi Pembangkitan Daya Panel Surya 200 WP Menggunakan Solar Tracker System Dual Axis ]]>
<![CDATA[Erwan Eko Prasetiyo]]>;
<![CDATA[Gaguk Marausna]]>;
<![CDATA[Dimas Wahyu Nugroho]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i3.4143
<![CDATA[Electrical energy is the main commodity used by almost all sectors of the economy. Therefore, the Indonesian people’s demand for electrical energy is getting higher nowadays. The growing electricity demand is inversely proportional to the dwindling availability of fossil energy in the world. Energy sources from the sun can be utilized as alternative energy, both its radiation and thermal, to meet daily electrical energy demand. This study aims to optimize the electrical energy production from solar panels with a capacity of 200 WP by designing and implementing a dual axis solar tracker system on solar panels (photovoltaic). This research employed a mixed methods approach, i.e., designing a solar tracker system experimentally by measuring the voltage and current values on solar panels, then calculating the electrical power generated by solar panels using solar tracker system control. After that, the calculation of electrical power generated by solar panels and electrical power used (load) by the solar tracker system to control the solar panel movement following the sunlight emission was conducted. Solar tracker controlled with a single axis produced an average voltage of 19.72 V, current of 1.34 A, and electrical power of 26.82 W, while solar tracker controlled with a dual axis generated an average voltage of 18.93 V, current of 1.9 A, and electrical power of 35.76 W. The test results showed that the total electrical power generated by solar panels with a single axis solar tracker system control system was 455.93 W and a dual axis solar tracker system was 607.94 W. Data of testing results showed that the dual axis solar tracker system was able to optimize electrical energy production yielded by solar panels with a capacity of 200 WP.]]>
