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
 16   17   18   19   20 
Perancangan Alat Bantu Analisis Rapid Entire Body Assessment (REBA) Berbasis Aplikasi Android Dawi Karomati Baroroh; Ramadhan Ramadhan
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 (1383.938 KB)

Abstract

Work posture analysis is important because the wrong work posture can cause discomfort and fatigue in workers that can cause musculoskeletal disorder (MSDs). Rapid entire body assessment (REBA) is one of semi-quantitative posture analysis methods that are sensitive to the risk of MSDs in various occupational types. REBA analysis is usually done manually, so it takes a long time and there is a possibility of error. Therefore, it is necessary to design an REBA tool based on Android application analysis to facilitate and accelerate in posture analysis. This paper designed a tool of REBA analysis based on the Android application using MIT App Inventor 2. Furthermore, verification tests, validation, and usability tests are performed on the application design. There is also time comparison of REBA analysis manually and by using application (case study in Small and Medium Industries Aluminum, Giwangan, Yogyakarta). The results of this study indicate that the design of REBA applications based on Android has met the verification and validation test. Based on the usability test performed using System Usability Scale (SUS) method, the value obtained is 63.5, which means quite useful. In addition, the results of comparative REBA analysis times indicate a significant difference between manual calculation time and using the application, with time savings of REBA analysis using application of 51.19%.
Penggunaan Smartphone Android sebagai Alat Analisis Kebutuhan Kandungan Nitrogen pada Tanaman Padi Eko Budi Setiawan; Risa Herdianto
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 (1505.406 KB)

Abstract

Nitrogen (N) is one of the most important nutrients for the growth of rice crops. Unbalanced and excessive use of N-fertilizers causes environmental pollution, reduces quality of the crop, and increases pest pressure, in addition to the increasingcost to farmers from excessively applied fertilizers and pesticides. The goal of this paper is to build mobile applications which can analyze and recommend nitrogen elemental requirements in rice plants based on the color of rice leaves. This application has embedded a set of stages of the process for image processing and classification which is used to analyze the color of rice leaves captured through a smartphone camera. Image processing in this application is a feature extraction of red, green, and blue (RGB) values to obtain a characteristic on the leaf color image. Then the result of feature extraction is used to classify the color level of rice leaf by using a K-Nearest Neighbor method. The results of accuracy test show that accuracy of the application in analyzing and recommending nitrogen fertilizer needed by rice crops, on average, is 66.67%.
Enkripsi SMS dengan Menggunakan One Time Pad (OTP) dan Kompresi Lempel-Ziv-Welch (LZW) Fitri Diani; Yudi Widhiyasana
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 (1137.011 KB)

Abstract

Short Message Service (SMS) is one of the features on a mobile phone. This feature is widely used because it is easy to use and does not require the latest telecommunications network connection. Short messages in the form of SMS consistsof 140 characters at the most.The message is sent through infrastructure in telecommunications providers. Using this process, there is a possibility that the sent message is leaked. Therefore, data encryption is required to maintain the message confidentiality. Unfortunately, encryption mechanism uses cipher to encrypt data, which causes another problem. The type of cipher is symmetric or asymmetric, and both cipher mechanism will increase the length of the sent messages. In this paper, One Time Pad encryption method and LZW compression method is used to optimize the message length.
Pendeteksi Sinyal Jual/Beli Saham dengan Fuzzy Rule-Based Evidential Reasoning dan C-means Clustering M. Lutfi Sulthon A.S.; Agung B. Prasetijo; Maman Somantri
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 (1860.757 KB)

Abstract

Stocks are securities indicating the share of ownership of a company. In stock market, most of traded stocks fluctuate in price at all times and traders take an advantage for taking profit. Traders often use technical analysis to determine the trend of stock price movements. The problem is on how traders take positions (buying/selling stocks) with minimal trading decision so they can maximize profits. Fuzzy rule-based evidential reasoning approach can map the conditions of stock movements. Clustering can help the mapping conducted with a high degree of equality with each other. One of the clustering methods is fuzzy C-means clustering. This method is used to determine the number of membership functions for each attribute. To increase profit/Return of Investment (ROI), verification of output decision is required to analyze stock trends when placing buy or sell. From the results experimented, an ROI of 83.80% profit is obtained.
Pengujian Statis pada Sistem Server Web Berbasis Cluster dengan Algoritme Never Queue Nongki Angsar
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 (1145.727 KB)

Abstract

The increase of web traffic and the development of network bandwidth are relatively faster than the development of microprocessor technology. This causes one point server platform no longer adequate to meet the needs of system scalability web server. Thus, multiple server platforms are the answer. One solution that has been known is a cluster-based web server system. This paper designs and develops cluster based web server system with Never Queue Algorithm. The system is then tested with a web workload distribution testing. The testing iscarried out by generating HTTP workloads statically (with fixed HTTP request rate) from the client to a web server system pool. The result shows that HTTP requests are well-distributed to web server system pool by Never Queue Algorithm. HTTP reply rate tends to be stable at average of 1,031.8 replies/s because the system is saturated, while TCP connection rate, response time, and error, tend to rise along with the rise of HTTP request rate. As for throughput, the average is 2.983 Mbps. Correlation between stability and the rise of error is, at the saturated point, bigger HTTP requests yield bigger errors.
Edugame “Etam-Tainment” Pembelajaran Bahasa Kutai dengan Shuffle Random dan Agen Cerdas Sefty Wijayanti; Asep Nurhuda; Reza Andrea
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 (1134.918 KB)

Abstract

The research entitled Educational Game (Edugame) "Etam-tainment" is a research development of Puzzle Game type, designed to hone memory in the form of language. In this game, players must arrange letters in random and create a word in Kutai language. Artificial Intelligence (AI) technology will also be applied to this research. Using the Finite State Machine model method, this game will have game agent character that will accompany a child to play like a teacher. Game agent in the form of virtual teacher can give a sad and happy expression accordingly from the game environment. The results of this study make this edugame become more interesting and interactive to children. Game agent AI will accompany child in this game is like teacher.
Klasifikasi Nyeri pada Video Ekspresi Wajah Bayi Menggunakan DCNN Autoencoder dan LSTM Yosi Kristian; I Ketut Eddy Purnama; Effendy Hadi Sutanto; Lukman Zaman; Esther Irawati Setiawan; Mauridhi Hery Purnomo
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 (1508.119 KB)

Abstract

Babies are still unable to inform the pain theyexperience, therefore, babies cry when experiencing pain. With the rapid development of computer vision technologies, in the last few years, many researchers have tried to recognize pain from babies expressions using machine learning and image processing. In this paper, a research using Deep Convolution Neural Network (DCNN) Autoencoder and Long-Short Term Memory (LSTM) Network is conducted to detect cry and pain level from baby facial expression on video. DCNN Autoencoder isused to extract latent features from a single frame of baby face. Sequences of extracted latent features are then fed to LSTM sothe pain level and cry can be recognized. Face detection and face landmark detection is also used to frontalize baby facial imagebefore it i s processed by DCNN Autoencoder. From the testing on DCNN autoencoder, the result shows that the best architecture used three convolutional layers and three transposed convolutional layers. As for the LSTM classifier, the best model is using four frame sequences.
Optimasi Support Vector Machine untuk Memprediksi Adanya Mutasi pada DNA Hepatitis C Virus Berlian Al Kindhi; Tri Arief Sardjono; Mauridhi Hery Purnomo
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 (1114.364 KB)

Abstract

Hepatitis C Virus (HCV) is a virus which capable of infecting RNA that can lead to changes in the DNA sequence. This change of DNA arrangement is called genetic mutation. Every mutation occurs in HCV, it will be called a new subtype. Over time, HCV subtypes increase, and will continue to grow as the HCV mutation cycle progresses faster. Therefore, a way to find a mutation in millions of sequences in the gene bank is needed. This study tested six types of Support Vector Machine (SVM) methods to determine the best SVM kernel performance in the application of HCV DNA sequence detection in isolatedDNA. The tested SVM kernel was linear, quadratic, cubic, fine Gaussian, median Gaussian, and coarse Gaussian. The data set is 1000 isolated DNA consisting of 500 isolated Homo Sapiens and 500 isolated HCV. Firstly, the data set will go through the pattern search process using the Edit Levenshtein Distance method, then the result of the processing will be the variable x in SVM. The target or variable y on SVM is the positive or negative value of the isolated against HCV. The results show that among the six types of SVM methods being tested, the method of fine Gaussian SVM has the lowest performance of 77.4%. The SVM method is tested by performing optimizations on the determination of the hyperplane. The test results proved that the SVM method is able to analyze the presence of HCV mutations in isolated DNA with an accuracy of 99.8%.
Penggunaan Metode FDTD untuk Analisis Gelombang pada Struktur Berbasis Kartesian dan Silinder Nabila Husna Shabrina; Hardi Nusantara; Achmad Munir
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 (1551.975 KB)

Abstract

In this paper, the comparison of wave characteristics between Cartesian and cylindrical coordinate system–based structures was analyzed using finite-difference time-domain (FDTD) method. The use of FDTD method wasconsidered due to its advantage in solving electromagnetics (EM) problems in wide spectrum of frequency and geometry shapes. The analysis was undertaken for three-dimensions (3D) Cartesian and cylindrical coordinate system–based structures with dimension of x = 600 mm, y = 300 mm, z = 1.200 mm, dan ???? = 600 mm, ???? =1 °, z = 1.200 mm, respectively. A transverse electric (TE) mode excitation of sine wave modulated Gaussian pulse with frequency of 1 GHz was applied for exciting both structures with the direction of propagation wave assumed in z–axis. Some scenarios were applied for both structures conditioned with free space, dielectric, and conductive medium. The attenuation rate obtained from three modelling scenarios in Cartesian coordinate system structures were 0.35 Np/m, 0.24 Np/m, and 0.62 Np/m, respectively. Meanwhile the attenuation rates for cylindrical coordinate system structure were 0.35 Np/m, 0.21 Np/m, and 0.40 Np/m. The simulation result for resonant frequency in Cartesian and cylindrical coordinate systemstructure conditioned with free space were 558.706 MHz and 498.466 MHz, respectively. The resonant frequency obtainedfrom simulation result in Cartesian and cylindrical coordinatesystem structure conditioned with dielectric medium was similar with the one from theoretical calculation in which the highesterror were 2.03% and 0.73%, respectively.
Skema Peningkatan Reciprocity Kanal dengan Menggunakan Metode Hierarchical Clustering Prima Kristalina; Florista Dewi; Mike Yuliana; Tri Budi Santoso; Amang Sudarsono; Reni Soelistijorini
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 (1657 KB)

Abstract

Secret key generation scheme that utilizesthe randomness of wireless channels is a very promising alternative to establish a secure communication path. Some wireless devices are used to obtain the channel parameters. But the problem that occurs is imprecise measurement results, causinga secret key difference between the two users. To overcome this problem, pre-processing method is used before the data is quantized, to increase the similarity (reciprocity) channel parameter measurement results. In this paper, the effect of the use of one pre-process method, which was hierarchical clustering, on the performance of secret key generation scheme in an indoorenvironment with two variations of scenario was investigated.The results show that the use of the pre-processingmethod can improve the similarity parameter of the channel measurement results as indicated by the increasing of correlation values up to 20%. In addition, the resulting bit mismatch also decreases with the value of key disagreement rate (KDR) maximum of 20%.

Page 18 of 65 | Total Record : 644

 16   17   18   19   20 

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