cover
Article Per Year (5 Year)
All
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
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
 17   18   19   20   21 
Sistem Penilaian Kondisi Jembatan Menggunakan Respons Dinamik dengan Wireless Sensor Network Seno Adi Putra; Gede Agus Andika Sani; Adi Trisna Nurwijaya; Abikarami Anandadiga; Pratama Budi Wijayanto; Bambang Riyanto Trilaksono; Muhammad Riyansyah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 3: Agustus 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1127.736 KB)

Abstract

Wireless Sensor Network (WSN) is small embedded devices deployed in large scale network and has capability to sense, compute, and communicate with others. It combines modern sensor, microelectronic, computer, communication, and distributed processing technology. It takes into account in several aspects of live especially in structural health monitoring systemof bridge. Due to environmental circumstance, a bridge should be monitored to make sure that it can perform its service safely. Therefore, it is necessary to develop WSN application to monitor bridge condition and send warning message to control room if the bridge is under abnormal condition. This paper proposes the development of automatic WSN system for measuring the level of bridge structural health based on its dynamic responses. The main contribution of this work is developing WSN system for vibration-based bridge condition assessment in which identifies the bridge’s fundamental frequency and mode shape. Experimental result shows that the fundamental frequency measured by our proposed system is close to the value analyzed using finite element analysis (FEA) and according to Modal Assurance Criteriation (MAC), our proposed measurement system has correlation with FEA.
Rancang Bangun Purwarupa Perangkat Wearable Headset untuk Pengukuran Sinyal Listrik pada Otak Suprijanto; Ayu Gareta R.; Fauza K. Masyhuroh; Siti Maisaroh
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 3: Agustus 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1453.324 KB)

Abstract

Nowadays, brain signal measurement devices or Electroencephalogram (EEG) are used not only for medical purposes but also for other applications, such as video games (in virtual reality) and biofeedback simulator. A wearable, easy to use and configure, wireless and open system EEG are now very important for those applications. This paper will discuss the design of a wearable and wireless EEG headset. The EEG headset is a bamboo-based headset which was designed with adjustable electrodes positioner to fit the headset with various sizes of head. Other features included in the design is the ability to reduce motion artifacts by adding springs on the electrode’s holder. Four healthy subjects were included during the performance testing of the headset. The performance was tested by comparing the correlation coefficient of the acquired data using headset with the one recorded without headset in frequency domain. The results show that the wearable EEG headset prototype is more robust in minimizing the effect of head movement. It is indicated by higher average value of the coefficient correlation in the EEG recording with headset.
Estimasi Parameter Model Nonlinear Menggunakan Analisis Sensitivitas dan Pengoptimalan Berbasis Turunan Tua A. Tamba
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 3: Agustus 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (943.538 KB)

Abstract

Model estimation based on the observation data of a system’s states is an important subject in the study of dynamical systems. Maximum likelihood (ML) estimation is a stochastic estimation method which can be used to obtain an optimal set of parameter based on noisy measurements. This paper describes the method and implementation of the ML estimator to identify an optimal parameter set in a discrete-time nonlinear state space model. In particular, the optimal parameter set is defined as the value that minimizes the error between the actual and estimated model outputs of the system. This paper discusses a gradient-based optimization that is equipped with sensitivity analysis method for searching such a parameter set. Simulation results which describe an implementation of the proposed estimation method in a nonlinear system model are also discussed.
Analisis Teknis Implementasi Power Wheeling di Jaringan Interkoneksi Sistem Barito Yusuf Susilo Wijoyo; Muhamad Rangga Delpiero; Musthafa Abdur Rosyied
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 3: Agustus 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1323.874 KB)

Abstract

Power Wheeling is cooperation of using power system network that owned by a party to transmit power from an entity to other entity. Power Wheeling scheme has been implemented in Indonesia since ministry regulation about it has been published. Implementation of Power Wheeling on a system will influence existing system condition. This paper aims to identify the effect of Power Wheeling implementation on a power system in Indonesia, that is Barito System. The result from load flow analysis shows that implementation of power wheeling affectsignificantly on each substation voltage. Short circuit current increases after Power Wheeling implementation but still withinstandard limitation. Stability analysis also shows that system is in normal condition.
Modifikasi Convolutional Neural Network Arsitektur GoogLeNet dengan Dull Razor Filtering untuk Klasifikasi Kanker Kulit Sofia Saidah; I Putu Yowan Nugraha Suparta; Efri Suhartono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 2: Mei 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1265.14 KB) | DOI: 10.22146/jnteti.v11i2.2739

Abstract

Skin is the widest external organ covering the human body. Due to a high intensity exposure to the environment, the skin can experience various health problems, one of which is skin cancer. Early detection is needed so that further medication for patients can be done immediately. In this regard, the use of artificial intelligence (AI)-based solutions in detecting skin cancer images can be used to detect skin cancer potentials. In this study, the classification of benign and malignant skin cancer types was carried out by utilizing GoogLeNet Convolutional Neural Network (CNN) method. The GoogLeNet architecture has the advantage of having an inception module, allowing the convolution and pooling processes to run in parallel terms that can reduce computing time and speed up the classification process without lowering the system accuracy. This study consisted of several stages, starting from the data acquisition of 600 skin cancer images from Kaggle.com to the uniformity of the input size that allows the system to work faster. There was also a utilization of dull razor filtering to reduce input image noise due to hair growing along the epidermis. After the preprocessing process was complete, GoogLeNet architecture processed the image input before categorizing the input into benign or malignant skin cancer. The system’s performance was then evaluated using performance parameters such as accuracy, precision, recall, and F-1 score, and it was compared to other methods. The system managed to obtain satisfactory results, including the accuracy of 97.73% and the loss of 1.7063. As for precision, recall, and F-1 score parameters, each received an average value of 0.98. The system performance proposed by the authors successfully have better accuracy compared to the previous study with much less use of datasets. The test results show that CNN method is able to detect and classify skin cancer accurately, so it is expected that this method could help medical workers in diagnosing the community.
Keamanan RESTful Web Service Menggunakan JSON Web Token (JWT) HMAC SHA-512 Alam Rahmatulloh; Heni Sulastri; Rizal Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 2: Mei 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1120.336 KB)

Abstract

Day to day information technology is constantly evolving, allowing a wide range of technologies, programming languages, and diverse architectures to keep popping up. It makes a new problem because at present all these differences must still be able to generate an interconnected information. It needs system integration. Currently, Web Service (WS) is a solution in system integration because it can be used without looking at the platform, architecture, or programming language used by different sources. But, on WS, the existing security is still considered less. Implementation of JSON Web Token (JWT) on WS is very influential in data security. JWT is an authentication mechanism on WS, but the application of standard JWT with HMAC SHA-256 algorithm is still not optimal. Therfore, this study discussed JWT security optimization with HMAC SHA-512 algorithm, which according to some researches, this algorithm will be better than SHA-256 if compiled on 64-bit architecture. The result of this research is that the use of SHA-512 produces a better time of 1% than SHA-256, but in SHA-512 token size is 2% larger than SHA-256.
Analisis Kinerja Protokol Routing Reaktif dan Proaktif pada MANET Menggunakan NS2 Alamsyah; Eko Setijadi; I Ketut Eddy Purnama; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 2: Mei 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (927.423 KB)

Abstract

The development of mobile ad-hoc network (MANET) is becoming popular and interesting to research because it has a fast characteristic, cost-effective deployment, able to manage topology change independently, and can be applied to emergency locations such as forest fire detection, military operation, and health monitoring. However, the problems faced by MANET are dynamic network topology changes, limited energy consumption, and without the support of existing infrastructure. In order to overcome dynamic topology changes and to obtain reliable network quality, then routing protocol selection is critical in designing MANET. This study aims to analyze the performance of AODV, DSR, DSDV, and OLSR routing protocols based on the quality of service (QoS). Scenarios based on the number of vertices, packet size, a broad area of simulation, length of simulation, simulation speed, mobility model, and propagation model. The simulation has been done to produce four graphs, each of which describes the PDR, throughput, packet loss, and delay. The simulation results show that OLSR performs better than DSR, AODV, and DSDV in terms PDR, throughput, packet loss, and delay. OLSR average value in PDR by 39.997%, throughput by 417.383 Kbps, packet loss by 60.003%, and delay of 15.52 milliseconds.
Peningkatan Kualitas Aplikasi Pemantau Media Sosial dan Media Daring Menggunakan Metode WebQEM Condro Kartiko; Galuh Boy Hertantyo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 2: Mei 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2075.203 KB)

Abstract

Along with the rapid growing world of technology nowadays, application becomes an important requirement for every human in person. Human becomes dependent on variety of applications, ranging from small scale application for entertaining user to large scale web application for one or multiple businesses work. In this research the application that used is social and online media monitoring at PT. XYZ in Indonesia. Based on this case, a software quality testing is needed so a software can be said worthy and qualified to use, not just limited to mere testing, but also for optimizing the software to create a well maintained application in accordance with software development life cycle. In this paper, WebQEM is used in optimization for web application. There are two kinds of evaluations: basic evaluation and global evaluation. First global evaluation of monitoring social media and online media application gives a score of 70,44%. After evaluation, an improvement is applied to the application according to the criteria from the result of first global evaluation. Second global evaluation gives a value of 77,41%, from the improvement in first global evaluation. This proves that WebQEM method for optimization of monitoring social media and online media application can improve the software quality.
Perancangan dan Evaluasi User Interface Aplikasi Smart Grid Berbasis Mobile Application Edi Susilo; F. Danang Wijaya; Rudy Hartanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 2: Mei 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1049.21 KB)

Abstract

Smart grid mobile application is a modernization in the consumption of electric power. Based on current research on smart grid mobile applications, it has investigated to the monitoring function, regulating, and scheduling energy consumption only. In the other case, the process of selling and buying electrical power is not inspected yet. This paper designedthe user interface (UI) of smart grid mobile application in the process of selling and purchasing the electrical power. This combined Materials Design for Android (MDfA) with a design that adopts Common Element Sets (CES). The results of UI design were tested using usability and User Experience (UX). Usability test used System Usability Scale (SUS) and UX test used User Experience Questionnaire (UEQ). The results of usability testing obtained a score of 72 that was considered above average and included in the category "good". UX test in each aspect obtained a score as follows: attractiveness 1.925, perspicuity 1.975, efficiency 1.913, dependability 1.730, stimulation 1.938, and novelty 1.988. Overall UX testing results were included into the category "very good".
Self-Training Naive Bayes Berbasis Word2Vec untuk Kategorisasi Berita Bahasa Indonesia Joan Santoso; Agung Dewa Bagus Soetiono; Gunawan; Endang Setyati; Eko Mulyanto Yuniarno; Mochamad Hariadi; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 2: Mei 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1455.318 KB)

Abstract

News as one kind of information that is needed in daily life has been available on the internet. News website often categorizes their articles to each topic to help users access the news more easily. Document classification has widely used to do this automatically. The current availability of labeled training data is insufficient for the machine to create a good model. The problem in data annotation is that it requires a considerable cost and time to get sufficient quantity of labeled training data. A semi-supervised algorithm is proposed to solve this problem by using labeled and unlabeled data to create classification model. This paper proposes semi-supervised learning news classification system using Self-Training Naive Bayes algorithm. The feature that is used in text classification is Word2Vec Skip-Gram Model. This model is widely used in computational linguistics or text mining research as one of the methods in word representation. Word2Vec is used as a feature because it can bring the semantic meaning of the word in this classification task. The data used in this paper consists of 29,587 news documents from Indonesian online news websites. The Self-Training Naive Bayes algorithm achieved the highest F1-Score of 94.17%.

Page 19 of 65 | Total Record : 644

 17   18   19   20   21 

Filter by Year

2012 2025


Reset
Filter By Issues
All Issue Vol 14 No 4: November 2025 Vol 14 No 3: Agustus 2025 Vol 14 No 2: Mei 2025 Vol 14 No 1: Februari 2025 Vol 13 No 4: November 2024 Vol 13 No 3: Agustus 2024 Vol 13 No 2: Mei 2024 Vol 13 No 1: Februari 2024 Vol 12 No 4: November 2023 Vol 12 No 3: Agustus 2023 Vol 12 No 2: Mei 2023 Vol 12 No 1: Februari 2023 Vol 11 No 4: November 2022 Vol 11 No 3: Agustus 2022 Vol 11 No 2: Mei 2022 Vol 11 No 1: Februari 2022 Vol 10 No 4: November 2021 Vol 10 No 3: Agustus 2021 Vol 10 No 2: Mei 2021 Vol 10 No 1: Februari 2021 Vol 9 No 4: November 2020 Vol 9 No 3: Agustus 2020 Vol 9 No 2: Mei 2020 Vol 9 No 1: Februari 2020 Vol 8 No 4: November 2019 Vol 8 No 3: Agustus 2019 Vol 8 No 2: Mei 2019 Vol 8 No 1: Februari 2019 Vol 7 No 4: November 2018 Vol 7 No 3: Agustus 2018 Vol 7 No 2: Mei 2018 Vol 7 No 1: Februari 2018 Vol 6 No 4: November 2017 Vol 6 No 3: Agustus 2017 Vol 6 No 2: Mei 2017 Vol 6 No 1: Februari 2017 Vol 5 No 4: November 2016 Vol 5 No 3: Agustus 2016 Vol 5 No 2: Mei 2016 Vol 5 No 1: Februari 2016 Vol 4 No 4: November 2015 Vol 4 No 3: Agustus 2015 Vol 4 No 2: Mei 2015 Vol 4 No 1: Februari 2015 Vol 3 No 4: November 2014 Vol 3 No 3: Agustus 2014 Vol 3 No 2: Mei 2014 Vol 3 No 1: Februari 2014 Vol 2 No 4: November 2013 Vol 2 No 3: Agustus 2013 Vol 2 No 2: Mei 2013 Vol 2 No 1: Februari 2013 Vol 1 No 3: Agustus 2012 Vol 1 No 2: Mei 2012 Vol 1 No 1: Februari 2012 More Issue