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Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Published by Universitas Gadjah Mada
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
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
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 644 Documents
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Pemodelan Data Relasional pada NoSQL Berorientasi Dokumen Muhammad Riza Alifi; Transmissia Semiawan; Djoko C.U. Lieharyani; Hashri Hayati
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i3.3704

Abstract

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.
Sistem Deteksi Penyalahgunaan Promosi Menggunakan Metode Similarity dan Penilaian Risiko Cut Fiarni; Arief Samuel Gunawan; Ishak Anthony
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i3.3743

Abstract

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.
Kinerja Energy Detection Spectrum Sensing untuk Cognitive Radio Menggunakan GNU Radio Hudaya Muna Putra; Sigit Basuki Wibowo; Dyonisius Dony Ariananda; Wahyu Dewanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i3.3757

Abstract

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.
Memvisualisasikan Twit Kesehatan Berdasarkan Wilayah dan Timestamp Bonpagna Kann; Sihem Amer-Yahia; Michael Ortega; Jean-Louis Pépin; Sébastien Bailly
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.3783

Abstract

Social media has become one of the major data sources for social studies through users’ expressions, such as significant moments in their daily life or their feelings and perceptions toward specific discussion topics. In health care, social media is thoroughly used to study people’s discourse on ailments and derive insights into the impact of ailments on patients’ quality of life. Recently, there has been an increasing interest in applying machine learning algorithms to enhance the prediction of ailments through users’ social media data. In this study, nearly 800 million posts were retrieved from Twitter through preprocessing and running the time-aware ailment topic aspect model (T-ATAM) to predict diseases, symptoms, and remedies for two chronic conditions, namely sleep apnea and chronic liver diseases. The study was conducted on English tweets emitted during 2018, most of which were from European countries and the United States. The data were processed using T-ATAM by regions, timestamps, and treatment, namely continuous positive airway pressure (CPAP), to see the differences in the distributions of top diseases along with the top symptoms and remedies in different regions; timestamps; as well as before, during, and after CPAP was introduced. Based on approximately 331,000 tweets related to liver diseases and 1 million tweets on sleep apnea, various visualizations of statistics are displayed, including world maps, word clouds, and histograms. Results of this study indicate that depression and drinking are the leading symptoms of liver diseases; meanwhile, lack of nighttime sleep and overworking are considered the main factors of sleep apnea.
Analisis Kinerja Sensor TF-Mini LiDAR untuk Pengukuran Jarak Fardiansyah Nur Aziz; Masduki Zakarijah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i3.3814

Abstract

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.
Analisis Intensitas Energi Listrik dalam Menghemat Penggunaan Listrik di Fakultas Teknik UNG Sardi Salim; Ade Irawaty Tolago; Maharani R.P. Syafii
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i3.3836

Abstract

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.
Antena Mikrostrip dengan Dua Buah U-Slot untuk Aplikasi Wi-Fi dan 5G Dian Widi Astuti; Alya Patrakomala; Muslim Muslim; Said Attamimi; Dwi Astuti Cahyasiwi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.4101

Abstract

The development of telecommunications on wireless networks is advancing very rapidly. This rapid development is caused by the need for rapid information accessible from anywhere. One of the devices on the wireless network telecommunications system is an antenna. Antennas that can work on multiple wireless network frequencies on telecommunications system devices are indispensable. Therefore, this study proposes the design of a microstrip antenna capable of simultaneously working on two wireless network frequencies, namely Wi-Fi and fifth-generation cellular telecommunications (5G). The microstrip antenna was designed using two slots, i.e., the disconnected rectangular ring and inverted U-shaped slots. The Wi-Fi and 5G frequencies working on this antenna were 2.45 GHz and 3.3 GHz. The resonant frequency on the antenna of this microstrip was affected by the slot length. The antenna was designed and fabricated using a Rogers 5880 substrate with a material’s relative permeability (er) of 2.2, a tangent loss (d) of 0.0009, and a thickness of 1.575 mm. Before being fabricated, the antenna design was simulated using the Ansys HFSS simulator, which is a simulator for designing components using electromagnetic waves including antennas. Compared to the simulation results, the results of reflection coefficient measurement in this antenna design showed excellent results for both frequencies. In the simulation results, the reflection coefficient provided a bandwidth of 123 MHz in the 2,412-2,535 MHz frequency range, while the measurement results provided a bandwidth value of 153 MHz in the 2,402-2,555 MHz frequency range for the Wi-Fi frequency application. At the 5G frequency, a measuring bandwidth of 87 MHz was obtained in the range of 3,260-3,347 MHz. The measurement results were commensurate with the simulation results, which obtained a bandwidth of 88 MHz in the range of 3,248-3,336 MHz. Therefore, the fabrication of this antenna design can be used for both applications.
Optimalisasi Pembangkitan Daya Panel Surya 200 WP Menggunakan Solar Tracker System Dual Axis Erwan Eko Prasetiyo; Gaguk Marausna; Dimas Wahyu Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i3.4143

Abstract

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.
Topologi dan Kajian Kinerja Multi Konverter Arus Searah untuk Multi Generator-Hidro Mini Rizki Nurilyas Ahmad; Mochammad Facta; Iwan Setiawan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.4343

Abstract

Energy wasted in the household streams can be easily found in the water faucets, showers, toilet sprinkles, and other equipment in plumbing systems where water only flows to clean out before it becomes a waste substance. Energy from flowing waters can be collected and converted to more useful forms of energy like electricity as it can be immediately utilized or stored. In the further development of the mini compact turbine generator (MCTG), the water flowing through every part of the house plumbing system is intended to be collected as electrical power. Unfortunately, the voltage produced by the conventional MCTG is insufficient for immediate applications in various electrical devices. In addition, the generated voltage does not conform to the voltage rating of the battery’s terminal as a medium for storing electrical energy. This research proposes the performance improvement of the MCTG output to produce a higher voltage by adding a DC boost converter, which can operate in a single or cascaded configuration to address issues with the MCTG output voltage and the boost converter’s efficiency when operating in high duty cycle values. Designs and simulations were conducted to obtain the expected criteria for electrical voltage generation. Several topologies tested included the single converter system, cascaded converter system, cascaded converter system with a selector, and parallel system. The results demonstrated that the parallel system worked better than the three topologies as it could yield voltage according to the reference voltage of 14 V and efficiency above 0.9 on the broader range of rotations of the MCTG rotor shaft.
Pengaruh Dinding Penghalang pada Deteksi Tanda Vital Pernapasan dengan Through Wall Radar Fildha Ridhia; Aloysius Adya Pramudita; Yuyu Wahyu; Harfan Hian Ryanu
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 4: November 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i4.4349

Abstract

Through-Wall Radar (TWR) has been extensively applied in various fields, one of which is in the search for, or evacuation of disaster victims struck by rubbles. The TWR is an application of radar systems operating in a wide frequency range or ultra-wideband (UWB), hence it has a high accuracy level in detecting objects behind walls. In this study, the Vivaldi antenna was used to obtain a high-level resolution for its capability to operate on UWB. Parameters such as dielectric characteristics are needed for each barrier type to generate a high accuracy level. The experiment was conducted to determine the effect of barrier walls on the detection of vital signs of respiration using a radar system modeled using two methods, namely, a vector network analyzer (VNA) and bladeRF. The experiment stages included the making of the experimental system design, experimental data collection, experimental data processing, and experimental results analysis. Wall types used in this study were brick and wooden walls. The experimental data results were used to analyze the effect of the barrier on the detection of vital signs of respiration using a radar system. Experiments using VNA as a radar system were conducted to analyze the effect of the barrier wall on the detection of the target behind the barrier wall. Experiments using bladeRF as a radar system were conducted to prove the presence or absence of a barrier effect on the detection of vital signs of respiration using a radar system. The measurement results showed that the largest peak-to-peak signal amplitude decrease occurred in the target detection with a distance of 125 cm, which was 11.51 dB, and a delay of 0.084 ns when using the Hebel brick barrier. Meanwhile, in wooden barriers, the average decrease in peak-to-peak signal amplitude was 2.968 dB, and the delay was 0.006 ns.

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