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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Ilmu Komputer Buletin Udayana Mengabdi Jurnal SPEKTRUM Majalah Ilmiah Teknologi Elektro Jurnal Pendidikan Teknologi dan Kejuruan TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic PROSIDING CSGTEIS 2013 Jurnal Teknologi Informasi dan Ilmu Komputer JUITA : Jurnal Informatika JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Syntax Literate: Jurnal Ilmiah Indonesia Matrix : Jurnal Manajemen Teknologi dan Informatika Cetta: Jurnal Ilmu Pendidikan Jurnal RESISTOR (Rekayasa Sistem Komputer) Astonjadro Journal of Electrical, Electronics and Informatics Jurnal Ilmiah Vastuwidya Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Majalah Ilmiah Teknologi Elektro
I Made Oka Widyantara
Electrical Engineering Universitas Udayana
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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Ship Trajectory Extraction Using Python Vessel Tracking Interpolation Method Setiawan, Widyadi; Linawati, Linawati; Widyantara, I Made Oka; Wiharta, Dewa Made; Asri, Sri Andriati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9567

Abstract

A deep understanding of ship trajectory movements has essential implications for maritime applications, including navigation, monitoring, and marine traffic analysis. Efficient and accurate extraction techniques are necessary to extract valuable information from ship trajectory data. One commonly used approach is the interpolation method, which allows the reconstruction of smooth trajectories from recorded data points. This research is focused on analyzing the extraction of ship trajectories using the interpolation method provided by the Python Vessel Tracking (PyVT) library. This method allows interpolation of ship trajectory data based on various algorithms available in the library. This research aims to evaluate the effectiveness and accuracy of interpolation methods from PyVT in reconstructing ship trajectories from incomplete or disturbed data. Within this research's framework, several test scenarios were implemented to examine different types of ship trajectory data, including data with missing points and speed variations. Evaluation metrics RMSE (root mean Squared Error), which includes reconstruction accuracy, will be utilized from the interpolation algorithm in PyVT.
RANCANG BANGUN APLIKASI ARISAN ONLINE DENGAN SMART CONTRACT UNTUK MEMINIMALISIR RESIKO PENIPUAN Lintin, Yosep Tara; Aditya Widhiatama, Ngakan Putu; Purnama, Fajar; Shandyasa, I Wayan; Sukadarmika, Gede; Gede Manuaba, Ida Bagus; Oka Widyantara, I Made; Juliawan Pawana, I Wayan Adi
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p17

Abstract

Arisan is an activity that is usually carried out by housewives where each member will donate money and at each meeting there will be a lottery to hand over the money that has been collected to one of the lucky members. Usually, arisan is done regularly and offline. However, since the pandemic in 2020, many people have started doing arisan online. With the rise of arisan online activities, there are many cases of fraud with a large amount of loss and of course it cannot be ignored. Based on these problems, a platform is needed to conduct arisan online that can prevent fraud cases. This container will be made in the form of a decentralized application by utilizing blockchain technology in this case this article utilizes smart contracts on the Binance Smart Chain to ensure that after this application is published, no party will be able to make changes to the data or functions of this application to minimize frauds.
KOMPRESI CITRA BERBASIS MULTI-LEVEL THRESHOLDING MENGGUNAKAN DIFFERENTIAL EVOLUTION Arda Narendra, I Gusti Lanang; Putu Krisna Adi, I Gusti Ngurah; Christanto Nadeak, Yobel; Oka Widyantara, I Made; Wiharta, Dewa Made
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p7

Abstract

Compression in image data needs to be done to manage storage space efficiently. In this study, image compression is performed using the Differential Evolution (DE) algorithm as an approach to achieve an optimal threshold for pixel clustering in images. The performance of this image compression method is evaluated based on the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) parameters. The PSNR of DE image compression ranges from 27 dB to 40 dB with threshold levels between 10 to 40. Meanwhile, the SSIM ranges from 0.83 to 0.97 at threshold levels of 10 to 40. The PSNR and SSIM of DE image compression are both at a good level, resulting in compressed image visuals that closely resemble the original image as the threshold levels increase.
ADAPTIVE STREAMING OVER HTTP (DASH) UNTUK APLIKASI VIDEO STREAMING I Made Oka Widyantara; Muhammad Audy Bazly; Ngurah Indra ER
Jurnal Teknologi Elektro Vol 14 No 2 (2015): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2015.v14i02p04

Abstract

This paper aims to analyze Internet-based streaming video service in the communication media with variable bit rates. The proposed scheme on Dynamic Adaptive Streaming over HTTP (DASH) using the internet network that adapts to the protocol Hyper Text Transfer Protocol (HTTP). DASH technology allows a video in the video segmentation into several packages that will distreamingkan. DASH initial stage is to compress the video source to lower the bit rate video codec uses H.26. Video compressed further in the segmentation using MP4Box generates streaming packets with the specified duration. These packages are assembled into packets in a streaming media format Presentation Description (MPD) or known as MPEG-DASH. Streaming video format MPEG-DASH run on a platform with the player bitdash teritegrasi bitcoin. With this scheme, the video will have several variants of the bit rates that gave rise to the concept of scalability of streaming video services on the client side. The main target of the mechanism is smooth the MPEG-DASH streaming video display on the client. The simulation results show that the scheme based scalable video streaming MPEG-DASH able to improve the quality of image display on the client side, where the procedure bufering videos can be made constant and fine for the duration of video views
Deteksi Tipe Modulasi Digital Pada Automatic Modulation Recognition Menggunakan Support Vector Machine dan Conjugate Gradient Polak Ribiere-Backpropagation Komang Tri Wahyuni; I Made Oka Widyantara; NMAE Dewi Wirastuti
Jurnal Teknologi Elektro Vol 18 No 2 (2019): (Mei-Agustus) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2019.v18i02.P18

Abstract

This research uses randomly generated digital data to detect modulation types. The types of modulation are tested QPSK, 16-QAM, and 64-QAM.In the characteristic extraction process uses a statistical feature set approach with the mean, varian, kurtosis and skewness, while feature selection uses Multi-Class Support Vector Machine(SVM) with 5 classes in the classification including (i)Not a feature, (ii)Mean, (iii)Varian, (iv)Kurtosis and (v)Skewness.In detecting the type of modulation in this study using Backpropagation Artificial Neural Networks by learning process used the Conjugate Gradient Polak Ribiere algorithm. This study, researcher also compared the learning with Conjugate Gradient Polak Ribiere and learning using Gradient Discent. The results of the comparison learning was 401 training data using Conjugate Gradient Polak Ribiere much better with a higher accurancy value of 86,20% and lower error rate of 13,80% in the iteration to 781, while the Gradient Discent in the same iteration the accuracy rate is 67,83% and the error rate is 32,17%. From the test results there are 4 feature groups that was able to recognize the type of modulation including (i) Mean,Variant,Kurtosis, (ii)Mean, Variant, Skewness, (iii)Variant, Kurtosis, Skewness and (iv)Mean, Kurtosis, Skewness.
RANCANG BANGUN ANTENA YAGI SEBAGAI PENGUAT SINYAL MODEM 4G LTE BERDASARKAN FREKUENSI 1800 MHZ I Gusti Nyoman Dharmayana; I Putu Ardana; I Made Oka Widyantara
Jurnal Teknologi Elektro Vol 16 No 1 (2017): (January - April) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this article, the authors present a new design of a Yagi antena which works on the LTE 1800MHz frequency. Yagi chosen because it is directional or transmits a focused direction. The design is based on a Yagi antena less inequality XL LTE 4G infrastructure development in Bali that requires the use of an external antena to improve modem signal quality. In this makalah, Yagi antena design includes the design on the part of the reflector, driven and director. The author began designing using Yagi Calculator to obtain measurements of each element Yagi antena, then the authors will examine the feasibility of aligning the antena with the parameters of the simulation results using software MMANA-GAL with the actual antena design. The author analyzes some modem performance parameters include Signal Strength, RSSI, RSRP and RSRQ conducted at three locations and the results obtained from the performance improvement of the condition of medium and poor areas become excellent area. These results indicate that the Yagi antena can improve signal quality modem. Dalam makalah ini, penulis menyajikan sebuah rancangan baru dari sebuah antena Yagi yang bekerja berdasarkan frekuensi LTE 1800MHz. Antena Yagi dipilih karena sifatnya yang directional atau arah pancarannya terfokus pada satu arah. Perancangan antena Yagi ini didasarkan pada kurang meratanya pembangunan infrastruktur 4G LTE XL di Bali sehingga mengharuskan penggunaan antena external untuk meningkatkan kualitas sinyal modem. Pada makalah ini, perancangan antena Yagi meliputi perancangan pada bagian reflektor, driven dan direktor. Penulis memulai perancangan menggunakan Yagi Calculator untuk mendapatkan ukuran-ukuran dari masing-masing elemen antena Yagi, selanjutnya penulis akan menguji kelayakan antena dengan menyelaraskan parameter hasil simulasi menggunakan software MMANA-GAL dengan perancangan antena sesungguhnya. Penulis menganalisa beberapa parameter performansi modem diantaranya adalah Signal Strength, RSSI, RSRP dan RSRQ yang dilakukan di 3 lokasi dan didapatkan hasil peningkatan performansi dari kondisi medium dan poor area menjadi excellent area. Hasil ini menunjukkan bahwa antena Yagi dapat meningkatkan kualitas sinyal modem. DOI: 10.24843/MITE.1601.11
Pendekatan Diagnostik Berbasis Extreme Learning Machine dengan Kernel Linear untuk Mengklasifikasi Kelainan Paru-Paru Putu Prima Winangun; I Made Oka Widyantara; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 19 No 1 (2020): (Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2020.v19i01.P12

Abstract

Abstract— an expert system can be used as a second opinion for comparison or supporting diagnosis from experts. Data mining is used to obtain information applied to this system. Whereas in conducting learning using Artificial Neural Networks which apply the Extreme Learning Machine method so that it can accelerate learning up to thousands of times. In this paper, software development is carried out to test the activation functions used in conducting learning and the variables used as input during learning.
PREPROCESSING PADA SEGMENTASI CITRA PARU-PARU DAN JANTUNG MENGGUNAKAN ANISOTROPIC DIFFUSION FILTER I Made Oka Widyantara; A. T. A Prawira Kusuma; N. M. A. E. Dewi Wirastuti
Jurnal Teknologi Elektro Vol 14 No 2 (2015): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2015.v14i02p02

Abstract

This paper propose a preprocessing techniques in lung segmentation scheme using Anisotropic Diffusion filters. The aim is to improve the accuracy, sensitivity and specificity results of segmentation. This method was chosen because it has the ability to detect the edge, namely in doing smoothing, this method can obscure noise, while maintaining the edges of objects in the image. Characteristics such as this is needed to process medical image filter, where the boundary between the organ and the background is not so clear. The segmentation process is done by K-means Clustering and Active Contour to segment the lungs. Segmentation results were validated using the Receiver Operating Characteristic (ROC) showed an increased accuracy, sensitivity and specificity, when compared with the results of segmentation in the previous paper, in which the preprocessing method used is Gaussian Lowpass filter.
Prototype Sistem Irigasi Subak berbasis Fuzzy Logic Menggunakan Wireless Sensor Network I Wayan Kayun Wardana; I Made Oka Widyantara; NMAE Dewi Wirastuti
Jurnal Teknologi Elektro Vol 19 No 2 (2020): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2020.v19i02.P02

Abstract

Utilization of Information Technology in local Irrigation system in Bali called ‘Subak’ is expected to be able to distribute water evenly to all agricultural needs. Later, there will be no excess or even lack of water, no arable or infertile in the agricultural land due to water and its also expected to be able to produce maximum agricultural production. This study uses sensors of Soil Moisture, Soil Temperature and Soil pH which are expected to control water requirements for agricultural land which are flowed automatically by the system from the reports received by the sensor and the server using the Wireless Sensor Network. Water distribution will be carried out by the system after receiving water demand from sensors embedded in agricultural land using fuzzy logic so that the shared water will be the same as the Subak irrigation system but more controlled, effective and efficient. This may lead to better level of soil fertility required by plants as well as increase the agricultural output . The use of the Internet of Thinks (IoT) in this study will produce information that is fast and can be accessed on the Internet by using SmartPhone media, PCs or other communication devices.
Penajaman Citra Satelit Landsat 8 Menggunakan Transformasi Brovey I Made Dhanan Pradipta; I Made Oka Widyantara; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 18 No 3 (2019): (September - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2019.v18i03.P08

Abstract

Abstract—Image sharpening is an image optimization technique by combining two satellite images by taking advantage of each images, so that the output image has good spectral and spatial quality. Image sharpening is an alternative to facilitate the recognition of an object, moreover for Landsat satellites has many bands that can be used as samples for the image sharpening process. One method used in image sharpening is Brovey Transformation. This method is widely used because it is very simple and easy in making the algorithm. The Bands which is used in the image sharpening process are composite bands (red, green, and blue) with panchromatic bands from the Landsat 8 satellite. The results of the image sharpening process are high spectral images obtained from composite images and spatial values obtained from panchromatic images. Analysis of the results of image sharpening using the Brovey Transform method is done by comparing the quality of the truecolor image before sharpened and the image that has been sharpened by calculating the maximum and minimum values of the red, green and blue bands, analyzing the mean values and also the standard deviation values of each image. Key Words— Brovey Transformation, Composite, Image Sharpening, Landsat 8
Co-Authors A. T. A Prawira Kusuma A.A. Made Agung Istri Iswari Aditya Dwipayana Aditya Widhiatama, Ngakan Putu Agus Anwar Eka Wahyudi Anak Agung Ayu Putri Ardyanti Anang Kusnadi Aniek Laksmidewi Arda Narendra, I Gusti Lanang Asana, I Made Dwi Putra Atmaja, Ketut Jaya Ayuni Harianti Bagus D. Cahyono Christanto Nadeak, Yobel Cokis Ratih Kumbara Derry Suia Pathentantama Desak Ayu Sista Dewi Dessy Hariyanti, NK Dewa Ayu Indah Cahya Dewi Dewa Made Sri Arsa, Dewa Made Dewa Made Wiharta Edo Halim Saputra Fajar Purnama Gamantyo Hendrantoro Gede Manuaba, Ida Bagus Gede Sukadarmika Haris Chandra Agustina I Dewa Gede Hardi Rastama I G. A. K. Diafari Djuni Hartawan I G.A.K. Warmayana I Gede Iwan Sudipa I Gede Sudiantara I Gede Sudiantara I Gusti Agus Adek Putra Ardiwinata I Gusti Ayu Garnita Darma Putri I Gusti Nyoman Dharmayana I Gusti Rai Agung Sugiartha I Kadek Adi Wiguna Sanjaya I Kadek Noppi Adi Jaya I Komang Adi Bayu Adnyana I Made Aditya Virgiawan I Made Arsa Suyadnya I Made Bayu Dibawan I Made Dhanan Pradipta I Made Dwi Putra Asana I Made Rai Putera Yasa I Made Sukarsa I Made Yudi Candra Putra I Nyoman Angga Prabawa I Nyoman Gede Arya Astawa I Nyoman Gunantara I Putu Agus Eka Pratama I Putu Ardana I Putu Gd Sukenada Andisana I Putu Noven Hartawan I Wayan Kayun Wardana I Wayan Shandyasa I Wayan Shandyasa I.A Laksmi IBGD. Dhyaksa Ida Bagus A. Swamardika Ida Bagus Putu Adnyana Ida Bagus Putu Adnyana Indra Dwi Cahya Setyawan Janice Jessica Indrayani Jayantari, Made Widya Juliawan Pawana, I Wayan Adi Kadek Surya Adi Saputra Kamarudin, Nur Diyana Ketut Bagus Bayu Sanjaya Komang Ery Rusdiana Komang Gede Widi Adnyana Komang Kompyang Agus Subrata Komang Oka Saputra Komang Tri Wahyuni . L Linawati L.D. Purnamasari Linawati Linawati Linawati Linawati Linawati Linawati linawati linawati Lintin, Yosep Tara M Acarya Mordekhai Karang M Zatiar Erwan Kalam M. Azman Maricar made andyka Made Arya Putra Kusuma Made Sudarma Made Sudarma Made Sudarma Merliana, Ni Putu Eka Muhammad Audy Bazly N Utami Wedanti N. M. A. E. Dewi Wirastuti N.M.A.E.D Wirastuti Ngurah Indra ER Ni Komang Ayu Suandaniasih Ni Made Ary Esta Dewi Wirastuti Ni Putu Widya Yuniari Nyoman Pramaita Nyoman Pramaita Nyoman Putra Sastra Oka, I Dewa Gede Ari P. A. Satya Prabhawa Pawana P., I Gusti Ngurah Agung Pradnyana, I Made Putri Alit Widyastuti Santiary Putu Agus Pradnyana Jaya Putu Arya Mertasana Putu Krisna Adi, I Gusti Ngurah Putu Prima Winangun Putu Sintia Susiani Pande Putu Widiadnyana ., Putu Widiadnyana R. Sapto Hendri Boedi Soesatyo Rukmi Sari Hartati Sandhiyasa, I Made Subrata Santi Ika Murpratiwi Saputra, Komang Oka Sri Andriati Asri, Sri Andriati Susila, Anak Agung Ngurah Hary Tri Febriana Handayani W. Setiawan Widiadnyana, Putu Widyadi Setiawan Widyanto, I Putu Wikananda, I Gusti Ngurah Satya Wirawan Wirawan