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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 667 Documents

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Penerapan Logika Fuzzy untuk Pembentukan Sutradara Otonom dalam hal Pencahayaan pada Machinima Andreas; Mauridhi H. Purnomo; Mochamad Hariadi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 1: Februari 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Lighting is one of the most important things in the world of cinematography. There are several parameters that must be considered to produce good lighting. There are so many permutations in the lighting arrangement. It causes complexity of the process and there is no simple way to do the calculation. This complexity is compounded by the fact that each director has their own style in lighting arrangements in the film production process. This paper refers to the tabulation of the results of interviews with three movie directors and then the similarities of the three were taken. In this study, a fuzzy logic structure was built with five parameters of lighting arrangement, namely: the situation of the set, the camera's point of view, the installed light intensity, the position and direction of the camera, and the emotions of the character. This research was conducted using 20 animated movie scenes that were built using Unity. The assessment of the output is done manually by several animated film designers. As a result, the designers assess that 80% of the lighting arrangement has been as expected.

Optimasi Algoritme Perkalian Karatsuba dengan Menggunakan Metode Nikhilam II Felix
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Multiplication is an essential operation in informatics engineering,for example in cryptography, cryptanalysis, and image processing fields.Researchesabout multiplication algorithmhave been conducted and improved by experts in numerous field,ranging from mathematics, informatics engineering, to electrical engineering. The most popular multiplication algorithm is created by Anatoly Karatsuba in 1960 in Soviet Union. Although it is old and many new multiplication algorithms arise, still this algorithm is chosen for middle to large size number category. Divide and conquer technique is implemented in this algorithm to speed up the multiplication process. The weakness of Karatsuba algorithm is the excessive recursive process,causing a longer execution time. Nikhilam II method is an algorithm founded in India and is included in Vedic Mathematics. Usually,Nikhilam II method is used by common people in India to ease daily multiplication calculation. This method can replace some of the multiplication operationswith addition, therefore it can be more optimum. In this paper, Nikhilam II method is implemented in the base case part of Karatsuba algorithm to reduce the recursive call. Hence, Karatsuba algortihm can be optimized from time execution point of view. As the result, this new algorithm can optimize time execution up to thrice faster than the original algorithm.

Penentuan Kemampuan Motorik Halus Anak dari Proses Menulis Hanacaraka Menggunakan Random Forest Nurul Zainal Fanani; Adri Gabriel Sooai; Surya Sumpeno; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

The children's Fine Motor Skill Assessment (FMS) at the beginning of school age is essential to get information about children's school readiness. The process of measuring FMS has been carried out by observing children, both directly and from the results of sketches or children's writing. This observation process is very dependent on the observer's perception. This study aims to determine the children's FMS using Javanese script. This research develops a new method for determining children's FMS from the process of writing the Javanese script. The system was recording data directly when the child is writing the Javanese script. Retrieval of data recording from the writing process involved 14 students in 1st grade and 2nd grade from three elementary schools in Jember district. The process of recording data from each student produces a large enough raw data. Therefore, this study uses random forest classification method,because this method can carry out the classification process on large amounts of data by combining several decision trees. Other classification methods, including naïve Bayes and k-NN, were used as a comparison. The experiment results show that the random forest classification method is the bestwith an accuracy of 98.7%.

Kinerja Micro Grid Menggunakan Photovoltaic-Baterai dengan Sistem Off-Grid Adhi Kusmantoro; Ardyono Priyadi; Vita Lystianingrum Budiharto Putri; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Renewable energy based micro grid planning is perfect for delivering electricity to rural areas, as an uninterruptible resource. In this paper, a DC micro grid system is designed. The system consists of several PVs and batteries which are connected to each other through a network. PV grids A and C deliver 1,904 watts of power in the micro grid system, while the battery contributes 784 watts of power. The system has a load of 730 watts. The purpose of this study is to improve the performance of micro grid with off-grid systems. The performance of the designed system is quite good because there sources of the grid A and grid C systems are sufficient to meet load demands and to charge batteries. When solar radiation is low, the battery meets load demands. To make the system more reliable, although it will increase system costs, a battery with a larger capacity can be used. The proposed system maintains the voltage at 12V with a change of only ± 10%.

Pemetaan Emosi Dominan pada Kalimat Majemuk Bahasa Indonesia Menggunakan Multinomial Naïve Bayes Wisnu Agastya; Aripin
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

This study aimed at mapping Indonesian sentences into emotion classes based on the classification process in those sentences. The results of emotion mapping can be applied in various fields, such as production of animated films and games, analysis of facial expressions, human-computer interactions, and development of other expressive virtual characters, specifically to produce facial expressions that match the spoken sentences. The method used for the emotion mapping process was the text classification using multinomial naïve Bayes model that was accompanied by dominant boundary equation. Multinomial naïve Bayes model in the text classification is used to determine the types and the emotional intensity of Indonesian sentences, whereas dominant boundary equation iss used to determine the threshold in order to identify the dominant classes. The emotion classes used as references are six basic emotion classes according to Paul Ekman, i.e., happiness, sadness, anger, fear, disgust, and surprise. The experiment on the process of mapping emotions used Indonesian single and compound sentences. The experimental results show that the text classification using multinomial naïve Bayes model accompanied by dominant boundary equation can map compound sentences into several classes of dominant emotions.

Asesmen ECG-Apnea Satu Sadapan untuk Peningkatan Akurasi Klasifikasi Gangguan Tidur Berdasarkan AdaBoost Iman Fahruzi; I Ketut Eddy Purnama; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Sleep disorder is a disturbed breathing flow (collapse) during sleep. The symptoms are generally undiagnosed and untreated properly so that repeated respiratory interruptions have the potential for severe sleep disorders. Electrocardiogram (ECG) recordings are practical tools used to examine the existence of sleep disorders in the heart rhythm. The ECG represents heart electrical activity in the form of P, QRS, and T waves. The number of ECG sensors is uncomfortable for the patient to record the data, increasing the recording complexity, slowing the computation, causing misinterpretation and loss of clinical information. Therefore, an early warning system is needed as a medical aid that can be diagnosed using single-lead ECG. In conducting this study, the system consists of five stages, which include the acquisition of ECG records, pre-processing, extraction of features, selection of features, and the classification process. ECG-record feature sets consist of time-domain, frequency-domain, and non-linear analysis. The AdaBoost method confirms that the model had the highest performance than the SVM, k-NN and NN. The results of the experiments thus measure the outperformed of method performance and achieved 90.1% classification accuracy for the AdaBoost classification method. Moreover, the F1 score, precision, recall, sensitivity, and specificity was reported as 90.1%, 90.3%, 90.1%, 86.9%, and 93.3%, respectively.

Kombinasi Fitur Multispektrum Hilbert dan Cochleagram untuk Identifikasi Emosi Wicara Agustinus Bimo Gumelar; Eko Mulyanto Yuniarno; Wiwik Anggraeni; Indar Sugiarto; Andreas Agung Kristanto; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

In social behavior of human interaction, human voice becomes one of the means of channeling mental states' emotional expression. Human voice is a vocal-processesed speech, arranged with word sequences, producing the speech pattern which able to channel the speakers' psychological condition. This pattern provides special characteristics that can be developed along with biometric identification process. Spectrum image visualization techniques are employed to sufficiently represent speech signal. This study aims to identify the emotion types in the human voice using a feature combination multi-spectrum Hilbert and cochleagram. The Hilbert spectrum represents the Hilbert-Huang Transformation(HHT)results for processing a non-linear, non-stationary instantaneous speech emotional signals with intrinsic mode functions. Through imitating the functions of the outer and middle ear elements, emotional speech impulses are broken down into frequencies that typically vary from the effects of their expression in the form of the cochlea continuum. The two inputs in the form of speech spectrum are processed using Convolutional Neural Networks(CNN) which best known for recognizing image data because it represents the mechanism of human retina and also Long Short-Term Memory(LSTM)method. Based on the results of this experiments using three public datasets of speech emotions, which each of them has similar eight emotional classes, this experiment obtained an accuracy of 90.97% with CNN and 80.62% with LSTM.

Integrasi Sistem Pengawasan Kesehatan Jembatan dengan Sistem Pengawasan Lalu Lintas Muhammad Satria Wibawa; Achmad Irjik Ubay; Seno Adi Putra; Alvi Syahrina
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Bridge health monitoring system is a real-time data collection system that consists of components, responses, changes, and the construction process of bridge structures. This system aims to help assessing the structural security risks that could damage to the bridge structure by utilizing Wireless Sensor Network (WSN) as data retrieval. This system has a focus on the structure parameters of the bridge,but does not pay attention to vehicle factors,such as vehicle weight, vehicle patterns,and types of vehicles that pass on the bridge,whichcan also be factors of the bridge's health assessment. Anothersystem,namelya traffic control system,measuresvehicle weight using Weight in Motion (WIM).It can be used to obtainvehicle factors,especially vehicle weight,that also helps in assessing bridge health. This paper proposes the integrationof these two systems in order to create a system that can measure health of bridge structures,as well asmonitor the weight of the vehicle.Through this integration, it is possible to manage WSN sleep and wake time which helps saving energy.Experimental result shows that the system can measure natural frequencies close to the value of Finite Element Analysis (FEA),showing the validity of the developed system.

Penerimaan Pengguna E-Wallet Menggunakan UTAUT 2 (Studi Kasus) Muhammad Taufik Hidayat; Qurrotul Aini; Elvi Fetrina
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 3: Agustus 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Nowadays, e-wallet (electronic wallet) is used for non-cash transactions because of the ease and practicality of transactions offered by service providers in South Tangerang. However, the success of the server-based e-wallet that has been implemented is still unknown, and there are still problems in the form of loss of balance and failure to top up. One of determinants of the system to be successful is in terms of user acceptance perspective. The objective of this paper is to derive and investigate significant variables on the user acceptance of server-based e-wallets in South Tangerang with the UTAUT 2 model and the addition of two variables, namely perceived trust and perceived risk. The study is conducted with a quantitative approach, questionnaires online with 33 questions, and demographic data analysis using IBM SPSS 25, as well as PLS-SEM analysis using SmartPLS 3.2.8. The results show that out of twelve proposed hypotheses, three hypotheses are declared insignificant and rejected because the path coefficient value and t-test of these hypotheses (performance expectancy, hedonic motivation, and price value) are less than 0.1 and 1.96. In contrast, nine others are declared significant and accepted.

Deteksi Spoofing Wajah Menggunakan Faster R-CNN dengan Arsitektur Resnet50 pada Video Sunario Megawan; Wulan Sri Lestari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 3: Agustus 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Face detection is a main and important process in the field of face recognition that has been widely studied. The purpose of face detection is to determine the presence and mark the position of faces, in both images and videos, called bounding boxes. One important problem in face detection is to differentiate between face spoof and non-spoof which is referred to as face spoofing detection. Face spoofing detection is an important task used to ensure the security of face-based authentication and facial analysis systems. Therefore, we need a model that can detect face spoofing. In this paper, the process to build a model that can be used to detect face spoofing on video is carried out using Faster R-CNN with Resnet50 architecture. Faster R-CNN is one of the superior algorithms in solving various object detection problems. The dataset used in this paper is a Replay-Attack Database, provided by Idiap Dataset Distribution Portal.The training phase used 360 videos, consisting of 300 spoof videos and 60 non-spoof videos. The average accuracy of the training stage is 97,07% with a total of 21 epochs. The test results show that the resulting model successfully determined bounding boxes and detected face spoof and non-spoof on the video effectively.

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Risanuri Hidayat

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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

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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