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Jurnal Nasional Teknik Elektro dan Teknologi Informasi

JNTETI
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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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Pengembangan Sistem Deteksi Kantuk Menggunakan Pengklasifikasi Random Forest pada Sinyal Elektrokardiogram nuryani nuryani; Khoirun Nisak; Artono Dwijo Sutomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Drowsiness is suggested as the most frequent factor in traffic and manufacture accidents. Therefore, a system which can early detect drowsiness is important for an effort to reduce accident number. This article presents a new method for drowsiness detection. The method uses electrocardiogram (ECG) and a Random Forest. Features of normal-to-normal interval (NNI) from ECG for the input of the detection system are investigated. The features include NNI characteristics in terms of time domain i.e the statictics of NNI, and in terms of frequency domain i.e. NNI signal characteristics in VLF until HF band. The level of drowsiness is categorized using Karolinska Sleepiness Scale (KSS) becoming two groups i.e. drowsy and awake. Classification algorithm used is the detection is Random Forest. In the Random Forest, the effect of the number of estimator and maximum feature to the detection performance is evaluated. The detection system is tested using data of drowsy study. The test show that the detection system performs 94.61%, 96.67% and 91.67% in terms of accuracy, sensitivity and specificity, respectively.

Mobilitas Manusia dan Tingkat Penyebaran Covid-19: Sebuah Analisis Kuantitatif Lukito Edi Nugroho; Arkham Zahri Rakhman
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 2: Mei 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

The Covid-19 pandemic has created many uncertainties and decisions are often made without the support of undisputable facts. The presentation of facts based on quantitative data becomes an important factor to improve the quality of decisions. This paper aims at building support for pandemic fact provisioning through a quantitative approach. Using community mobility data and data on Covid-19 daily transmission rate, this study analyzes the correlation between these two factors in the Special Region of Yogyakarta. Correlation was calculated between daily Covid-19 transmission rate and community mobility in six types of areas that could be linked to social gathering. In the time span between March 2020 and March 2021, the correlation between the daily transmission rate and community mobility in all areas was low (correlation coefficient between 0.03 and 0.33). The result explained that reduced community mobility developed social distancing, which was effective in controlling virus transmission. However, in shorter time spans which contain spikes in mobility to public destination areas triggered by several long holidays, the correlation between the increase of daily Covid-19 cases and the ‘stay at home’ activity increased significantly (correlation coefficient 0,64). This showed the fact that Covid-19 spread is characterized more by family clusters.

Evaluasi Penerapan Smart Mobility di Jakarta Sifa Novwidia Agni; Manzila Izniardi Djomiy; Roki Fernando; Catur Apriono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Urban problems such as congestion caused by the very rapid population growth and high urbanization flows are common problems in big cities like Jakarta. The concept of smart city has developed and started to be implemented in several big cities in Indonesia, including Jakarta. One part of the concept of smart city is smart mobility, which is currently developing to solve various urban problems, especially in public transportation to improve the quality of services that are effective and efficient. This study discusses solutions for implementing the concept of smart mobility in Jakarta based on the level of readiness of each indicator according to the indicators found on the Boyd Cohen Smart City Wheel. The purpose of this study is to provide an overview of the level of readiness for implementing smart mobility in Jakarta and the improvements that need to be made. This study used the literature study method to get an initial picture of conditions in Jakarta, then the assessment used survey data assessment and descriptive qualitative analysis. The results show that basically Jakarta can be said to be ready to implement smart mobility, however, there needs to be improvements and procurement in several aspects of smart mobility.

Data Benchmark pada Google BigQuery dan Elasticsearch Nisrina Akbar Rizky Putri; Widyawan; Teguh Bharata Adji
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Nowadays,the cloud is not only a data storage medium but can be used as a medium for managing or analyzing data. Google offers Google BigQueryas a platform capable of managing and analyzing data,while Elasticsearch itself is a search and analysis engine that can be used to analyze data using Kibana. Using a dataset in the form of tweets crawled through http://netlytic.org/,containing the hashtags #COVID19 and #coronavirus, the data will be analyzed and used to compare its performance with benchmarks. Benchmark is a process used to measure and compare performance against an activity so that the desired level of performance is achieved. Data benchmark is performed on both platforms to generate or determine the workload of the platforms. The result obtained in this study is that Google BigQueryhas superior results, both from the upload container for larger datasets than Elasticsearch and with two query testing models.The query management time on Google BigQueryis also shorter and faster than Elasticsearch. Meanwhile, the visualization results from these two platforms have the same percentage amount.

Deteksi Myocardial Infarction Menggunakan Fitur Statistik Segmen-ST Elektrokardiogram dan Analisis Diskriminan Dewi Cahya Fitri; nuryani nuryani; Anto Satriyo Nugraha
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

This article describes the detection of myocardial infarction using the statistical mean features, including the mean, median, and standard deviation. The classification used is the discriminant analysis method which is implemented using matlab software. The ECG signal obtained from the device is then processed. After that, the feature extraction is carried out. The results of the extraction is normalized so that all patient data have the same standard in amplitude wave magnitude. After normalization, the data will be used as input for discriminant analysis. In this article we try to use the mean, median, and standard deviation features. In this experiment using 15 leads consisting of 12 conventional leads and 3 posterior leads, the addition of these 3 leads has the advantage of determining the performance results obtained. Percentage of accuracy performance, the best percentage of accuracy performance is 97.73% with the mean feature. This experiment tries to compare the features of mean and standard deviation, mean and median, standard deviation and median, and mean, median, and standard deviation. The combined experiment shows that the best accuracy performance percentage value is 98.84% with standard deviation and median features.

Implementasi Tunnel GRE pada Jaringan Ring dan Mesh Perangkat Metro-E Nokia R. Muhammad Arifin Arifin; Eni Dwi Wardhani; Samuel BETA
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Tunnel is a technique of building a local communication path between two or more routers using a public IP network. The problems faced in tunneling systems are currently lacking guidelines for choosing the right technique according to the network topology used. In the electoral field, it is done based on experience or following SOPs. The brands of devices that support tunneling are very diverse in Indonesia, one of which is Nokia. This study focuses on the tunnel owned by Nokia devices, namely the GRE in order to produce guidelines for using the GRE tunnel. The analysis is carried out with various traffic engineering scenarios including no-load conditions, and various other conditions when there is a network outage. The results showed that the GRE without load runs normally. When the load from the beginning of the GRE gets a throughput of 0.995 Mbps and an average delay of 11.484 ms, when with a sudden load it gets a throughput of 1.059 Mbps and a delay of 11.386 and when a network disturbance is carried out with the ping command it gets 1 RTO. The GRE tunnel follows the LDP protocol path so it is suitable for use in new network implementations because of its simplicity in its configuration which is enough to activate the OSPF metric to balance traffic on each particular router interface

Aspect Category Classification dengan Pendekatan Machine Learning Menggunakan Dataset Bahasa Indonesia SYAIFULLOH AMIEN PANDEGA PERDANA; Teguh Bharata Aji; Ridi Ferdiana
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Customer reviews are opinions on the quality of goods or services that consumers perceive. Customer reviews contain useful information for both consumers and providers of goods or services. The availability of a large number of customer reviews on the websiterequires a framework for extracting sentiment automatically. A customer review often contains many aspects, so the Aspect Based Sentiment Analysis (ABSA) should be used to determine the polarity of each aspect. One of the important tasks in ABSA is Aspect Category Detection. The application of Machine Learning Methods for Aspect Category Detection has been mostly done in the English language domain, but in the Indonesian language domain,there are still a few. This study compares the performance of three machine learning algorithms, namely Naïve Bayes (NB), Support Vector Machine (SVM),and Random Forest (RF),on Indonesian language customer reviews using Term Frequency-Inverse Document Frequency (TF-IDF) as term weighting. The results showthat RFperformsthe best,compared to NB and SVM,in three different domains, namely restaurants, hotels,and e-commerce,with the f1-scoresfor each domainare84.3%, 85.7%, and 89.3%.

Pengaruh Parameter Motor pada Sistem Kendali tanpa Sensor Putaran Bernadeta Wuri Harini
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

In controlling permanent magnet synchronous motor (PMSM) without using a rotation sensor (sensorless control), some motor parameter data is needed. Among the motor parameters used in the control are stator resistance, inductance, and magnetic flux. This paper will analyze the effect of these parameter values in sensorless motor control. The parameter values will be varied so that the motor parameter values in the controller are different from the actual motor parameter values. The percentage of variation for each parameter varies depending on the influence of these parameters on control. The desired motor speed is 100 rad / second with controlling constants KP = 0.5, KI = 0.9, and KD = 100. The controller gain values (KP, KI, and KD) are obtained by the heuristic tuning method. Simulations are carried out for several differences in parameter values using Simulink. From the simulation results, it is found that the motor parameter values of the controller that are not the same as the actual motor parameter values will affect the control process. The difference in the motor parameter value between the controller and the actual value causes the motor not to rotate as the desired value.

Desain Antena Mikrostrip UWB dengan Peningkatan Lebar pita dan Karakteristik Triple Notch Band Harfan Hian Ryanu; Dhoni Putra Setiawan; Edwar
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

This paper discusses the design of Ultra-Wideband (UWB) hexagonal monopole planar microstrip antenna with bandwidth enhancement characteristic using hexagonal shaped slot ring EBG and triple notch-band characteristic using three different slots. A hexagonal shaped monopole planar antenna is integrated with an EBG structure in order for the antenna to work at 2,8 -16 GHz bandwidth. A combination of L shaped, horizontal, and round shaped slots with different length are also integrated in the patch to remove three frequency band at WLAN (4,9-6,2 GHz), satellite downlink communication (7,1-7,6 GHz), and Direct Broadcasting Satellite (DBS) (12,2-12,7 GHz). The overall dimension of the antenna is 35,6 mm x 27,3 mm, with a thickness of 1,6 mm. The final design of the antenna shows a good result at frequency band 2,86-16,08 GHz under the reflection coefficient < -10 dB, except at frequency WLAN (5,5 GHz), X-Band satellite (7,45 GHz), and DBS service (12,45 GHz), with maximum gain of 4,8 dBi at 14 GHz, and good antenna efficiency ranged from 45% to 85%.

Implementasi Logika Fuzzy untuk Pengukuran SoC Baterai Mobil Listrik yang Akurat Muhammad Dzaky Ashidqi; Miftahul Anwar; Chico Hermanu B.A.; Agus Ramelan; Feri Adriyanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Changes in temperature can affect the accuracy of the estimated SoC value based on voltage. In this study, fuzzy logic was implemented to correct the SoC estimation error caused by the influence of temperature. The system acquired data through sensors and then processed it using the Arduino microcontroller. Parameters in the form of voltage, temperature, and current were processed by Arduino with a fuzzy logic program which was uploaded into it and produced the output of the estimated SoC value. From the observations, it was found that the estimated SoC value from this method had better accuracy with a smaller error than the SoC estimation based on voltage alone. Using the RMSE method, the errors calculated in this method in the process of charging and discharging without running were 2.26 and 7.74, while the SoC estimation error based on voltage alone reached 4.88 and 12.8. In the discharging process with a running car, the SoC estimation results using fuzzy logic also showed accurate results. There was only 1% of SoC value increasing pattern during the discharging process, which the value trend should continue to decrease and should not be an increase. In addition, compared to the previous method applied to the same research object, namely the chemical equilibrium constant method, this method also showed more accurate results.

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Contact Name
Risanuri Hidayat

Contact Email
risanuri@ugm.ac.id

Phone
+62274-552305

Journal Mail Official
jnteti@ugm.ac.id

Editorial Address
Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Risanuri Hidayat

Contact Email risanuri@ugm.ac.id

Phone +62274-552305

Journal Mail Official jnteti@ugm.ac.id

Editorial Address Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281

Location Kab. sleman, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Risanuri Hidayat

Contact Email
risanuri@ugm.ac.id

Phone
+62274-552305

Journal Mail Official
jnteti@ugm.ac.id

Editorial Address
Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA