Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

3.37

P-Index

This Author published in this journals

All Journal Jurnal SPEKTRUM PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmiah Kursor JOIV : International Journal on Informatics Visualization Matrix : Jurnal Manajemen Teknologi dan Informatika Jurnal Teknoinfo Journal of Electrical, Electronics and Informatics Ulil Albab

Widyadi Setiawan

Electrical Engineering Department, Udayana University

Author-ID : 377164

Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

Published : 39 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4

RANCANG BANGUN MODEL PENGIDENTIFIKASI SUARA HURUF HIJAIYAH DENGAN METODE MEL FREQUENCY CEPSTRUM COEFFICIENT DAN CONVOLUTIONAL NEURAL NETWORK Robbani Punggawa Arcapada; Widyadi Setiawan; I Made Arsa Suyadnya
Jurnal SPEKTRUM Vol 8 No 4 (2021): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Learning the Qur'an is a necessity for a Muslim, because the Qur'an acts as a guideand way of life. One thing that is learned in the Qur'an is how to pronounce Hijaiyah letters orMakharijul letters. In learning Makharijul Letters it takes an ustaz or accompanying teacher whois limited by distance and time. To overcome the limitations of distance and time, a learningapplication model is needed that can be accessed without the limitations of distance and thetime. This is studied aim to develop the Hijaiyah letter recognition model using the MelFrequency Cepstrum Coefficient (MFCC) and Convulational Neural Network (CNN) methods.Based validation results, the model built using the MFCC and CNN methods can identify theletters read with an accuracy of 49.1%. Then based of the test result with Confusion Matrix, thismodel have a precision value of 50%, recall is 53%, and F-Measure is 0.514.

Sistem Pengenalan Wajah Dengan Metode Face Features Ardiansiah Ardiansiah; Widyadi Setiawan; Linawati Linawati
Jurnal SPEKTRUM Vol 3 No 2 (2016): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (235.718 KB)

Pengenalan citra wajah atau Face Recognition adalah salah satu teknologi biometric yang telah banyak diaplikasikan dalam sistem keamanan. Perhitungan model pengenalan wajah memiliki beberapa masalah, kesulitan muncul ketika wajah dipresentasikan dalam suatu pola berisi informasi unik yang membedakan dengan wajah lain. Dalam implementasinya, secara umum pengenalan citra wajah dilakukan menggunakan sebuah webcam untuk menangkap citra wajah seseorang kemudian citra wajah tersebut dibandingkan dengan citra wajah sebelumnya yang telah disimpan. Pengujian ini dibagi menjadi dua bagian, yang pertama pengujian similarity kecocokan wajah dan yang kedua perhitungan False Acceptance Rate (FAR) dan False Rejection Rate (FRR). Pengujian menggunakan perangkat lunak Luxand FaceSDK dengan 30 sampel. Setiap sampel diambil 10 citra wajah untuk kemudian diuji kecocokan wajah, ekspresi dan kontur wajah dari sampel. Sistem ini mampu mengenali wajah dengan tingkat akurasi terbaik sebesar FAR = 8% dan FRR = 7% dengan nilai ambang 90%. Dan nilai ambang terburuk 10% dengan FAR = 95% dan FRR = 0,7%.

KINERJA PROTOKOL NETWORK REDUNDANSI VRRP, HSRP DAN GLBP PADA LAYANAN VIDEO STREAMING I Putu Gede Krsna Yudha Dharma; Pande Ketut Sudiarta; Widyadi Setiawan
Jurnal SPEKTRUM Vol 8 No 2 (2021): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Nowadays streaming video services have become the main need for internet users. Tokeep the streaming video service awake, an alternative path is needed to avoid network failure.In creating an alternative path, you can use first hop redundancy protocol (FHRP). In FHRPthere are three redundancy protocols including VRRP, HSRP and GLBP. The purpose of thisstudy is to find out better protocol performance, especially by using streaming video services.The method used is to simulate redundancy protocol using GNS-3 software with 3 scenariosthat run including normal network, down network and recovery network. As for testing eachscenario including testing routers with priority, route trace route, link transfer time and quality ofservice (QoS) video streaming. Based on the results of the study, it was obtained that GLBPprotocol has better performance with an average link transfer time of 1.51 seconds, delay of8.12 ms, packet loss of 0 % and throughput of 1,248 Mbps. This is because in GLBP protocolthere is a load balancing feature that can split the load equally and utilize resources moreeffectively from each router.

MULTIPLE DISCRIMINANT ANALYSIS WITH FUKUNAGA KOONTZ TRANSFOR AND SUPPORT VECTOR MACHINE FOR IMAGE-BASED FACE DETECTION AND RECOGNITION Sri Andriati Asri; Widyadi Setiawan
Jurnal Ilmiah Kursor Vol 7 No 2 (2013)
Publisher : Universitas Trunojoyo Madura

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

MULTIPLE DISCRIMINANT ANALYSIS WITH FUKUNAGA KOONTZ TRANSFOR AND SUPPORT VECTOR MACHINE FOR IMAGE-BASED FACE DETECTION AND RECOGNITION a Sri Andriati Asri, bWidyadi Setiawan aElectrical Engineering Dept., Bali State Polytechnic, Bukit Jimbaran, Kuta Selatan, Badung, Bali b Electrical Engineering Dept., Faculty of Engineering Udayana University, Bukit Jimbaran, Kuta Selatan, Badung, Bali 80361 E-Mail: andriati_s@yahoo.com Abstrak Pengenalan wajah dapat diterapkan pada banyak aplikasi potensial, seperti otentikasi identitas, information security, surveillance dan interaksi manusia komputer. Penelitian ini bertujuan membangun perangkat lunak berbasis Matlab untuk deteksi dan pengenalan wajah dengan masukan berupa citra. Sistem yang akan dibangun meliputi deteksi dan pengenalan wajah. Subsistem Deteksi Wajah memakai Principle Component Analysis (PCA) sebagai ekstraksi fitur dan Jaringan Syaraf Tiruan Perambatan Balik sebagai pengklasifikasinya. Pada Subsistem Pengenalan Wajah memakai metode Support Vector Machine salah satu algoritma kecerdasan buatan yang mampu mengklasifikasikan banyak wajah dengan baik. Metode Multiple Discriminant Analysis with Fukunaga Koontz Transform (MDA/FKT) dipakai sebagai ekstraksi fitur. Pelatihan dan pengujian sistem memakai basis data penelitian, dan basis data standar yaitu basis data ORL sebagai pembanding. Rancang bangun Aplikasi Deteksi dan Pengenalan Wajah telah berhasil diselesaikan pada penelitian ini. Subsistem Deteksi Wajah menghasilkan tingkat keakuratan pendeteksian wajah sebesar 99 %. Pada Subsistem Pengenalan Wajah, tingkat pengenalan basis data penelitian (UNUD) 82,76 %, sedangkan tingkat pengenalan pada basis data ORL 97,5%. Kata kunci: Deteksi Wajah, Pengenalan Wajah, Support Vector Machine, Multiple Discriminant Analysis with Fukunaga Koontz Transform. Abstract Face recognition can be applied to many potential applications, such as identity authentication, information security, surveillance and human computer interaction. This research aims to build a Matlab-based software for face detection and recognition application using an image input form. The system consist of face detection and recognition subsystem. Face detection subsystem using PCA as feature extraction and Back Propagation Neural Network as its classifier. In face recognition subsystem using Support Vector Machine as known as one of the good methods in the artificial intelligence algorithm that is able to classify many faces well. Multiple Discriminant Analysis Method with Fukunaga Koontz Transforms (MDA / FKT) is used as feature extraction. Training and Testing database systems using research (UNUD) database, and ORL database as a comparison. Face detection and recognition application has been successfully completed in this research, face detection subsystem produces face detection accuracy rate of 97.95 %, and for face recognition subsystem, the recognition rate is 82.76 % on research (UNUD) database, while the recognition rate on ORL database is 97.5 %. Key words: Face Detection, Face Recognition, Support Vector Machine, Multiple Discriminant Analysis with Fukunaga Koontz Transform

RANCANG BANGUN ALAT MONITORING TANAMAN HIDROPONIK PAKCOY MEMANFAATKAN MIKROKONTROLER DAN TEKNIK COMPUTER VISION I Gusti Made Andi Dipayana; Duman Care Khrisne; Widyadi Setiawan
Jurnal SPEKTRUM Vol 9 No 1 (2022): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Technology in agriculture is growing, one of them is hydroponic techniques because it uses anInternet of Things (IoT) based system. One of the plants used in hydroponic techniques is thepakcoy vegetable plant. Pakcoy is one of the vegetables that has the widest distribution in Asia.In addition, the characteristics of pakcoy vegetables are almost the same as mustard greens.Pakcoy vegetables are also easy to cultivate because they only require a small amount of landand a short harvest period. This system is built using a microcontroller and computer visiontechniques as a control center and uses a Raspberry Pi 4 type B mini PC as a visual notificationand is equipped with a dc motor gearbox, L298N motor driver and webcam camera. Thissystem works automatically to control which plants are healthy and which plants are sick. Thisstudy aims to detect diseased plants and healthy plants on pakcoy plants with a hydroponicpakcoy plant monitoring tool that uses a microcontroller and computer vision techniques. Thistool works by taking pictures directly through a webcam camera, then processing them with atrained model. The output of this tool displays the probability value of pakcoy plants showinghealthy plants and sick plants. From the results of testing the validation data using 60 validationdata, based on the accuracy of the detection tool healthy and sick plants were able to correctlyidentify 38 validation data and 22 data were not recognized properly, so the accuracy of thevalue was 63%. and produces an f1-score of 0,87

Android Application of Traffic Density Visualization Based on Vehicle Speed Widyadi Setiawan; I Nyoman Budiastra; Sri Andriati Asri
Journal of Electrical, Electronics and Informatics Vol 1 No 1 (2017): JEEI (February 2017)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2017.v01.i01.p02

This paper presents a system to display traffic density in real time based on speed of vehicles on the main roads in the city of Denpasar. With this application, users who are in a vehicle can get the density of roads information. The software will run on the Android platform created with the help of Google maps with visualization density of roads are being reviewed. Measurement of vehicle speed using the frame difference method, so the computational process can be run quickly and in real time. The trial results of this paper, user (vehicle speed measurement) produces the same data as the data is received by the client (viewer visualization) with the display format is the name of the location, vehicle speed, date and time data retrieval.

PENERAPAN TRANSFORMASI HOUGH PADA DETEKSI LOKASI PLAT NOMOR PADA CITRA KENDARAAN Widyadi Setiawan; Sri Andriati Asri
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 5 No 2 (2015): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (246.081 KB)

Teknik-teknik deteksi pola telah berkembang dengan sangat pesat. Deteksi tidak lagi terbatas padadeteksi citra wajah dan tulisan tangan, tetapi meliputi hampir semua objek yang berbentuk citra digital, antara citra biomedis dan citra kendaraan. Citra kendaraan mempunyai ciri pengenal seperti: ban, bentuk kendaraan, dan plat nomor yang dapat diambil untuk proses pengenal citra kendaraan tersebut. Salah satu teknik deteksi yang banyak digunakan adalah Transformasi Hough. Teknik ini bertujuan untuk menentukan lokasi suatu bentuk pada citra digital. Pada penelitian ini Transformasi Hough digunakan untuk mendeteksi lokasi plat nomor pada citra digital kendaraan. Citra kendaraan yang digunakan adalah citra mobil dan diambil dengan menggunakan kamera digital. Penelitian ini menjadi tahapan awal untuk pengenalan plat nomor kendaraan, suatu objek atau citra dapat dikenali setelah terlebih dahulu dapat dideteksi. Pengenalan plat nomor kendaraan dapat digunakan aplikasi parker otomatis. Sistem dapat mengenal plat nomor secara otomatis dari tiap kendaraan. Unjuk kerja atau keberhasilan penerapan Transformasi Hough pada penelitian ini adalah 90%. Penelitian hanya melakukan proses deteksi lokasi plat nomor dari suatu citra kendaraan.

ALTERNATIF PENGGUNAAN MODEL PENDEKATAN AGILE PADA PERANCANGAN SISTEM INFORMASI PKL ONLINE Sri Andriati Asri; Widyadi Setiawan
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 5 No 3 (2015): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

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

Metode pengembangan perangkat lunak agile merupakan metode yang telah banyak digunakan. Keistimewaan metode ini adalah lebih berorientasi pada program, penggunaan dokumentasi sedikit dan adaptif. Metode agile mempunyai beberapa model antara lain: Scrum , UP (Unified Process) dan XP (Extreme Programming). Model-model tersebut selain mempunyai karakteristik yang hampir sama tetapi juga mempunyai beberapa perbedaan yang signifikan. Praktek Kerja Lapangan (PKL)) merupakan mata kuliah wajib yang harus diambil mahasiswa. PKL dilaksanakan dengan kerja atau praktek langsung di sebuah perusahaan. Untuk menangani kegiatan PKL maka perlu dibuatkan sebuah sistem informasi online yang mengelola semua data-data yang berhubungan dengan PKL baik data dari pihak mahasiswa ataupun data dari pihak kampus. Penelitian ini bertujuan untuk menemukan model pendekatan agile yang cocok untuk pengembangan sistem informasi yang akan dibuat. Berdasarkan hasil penelitian, model pendekatan agile Personal Extreme Programming (PXP) cocok digunakan untuk mengembangkan sistem informasi tersebut.

METODE PROFILE MATCHING UNTUK PENENTUAN AMBALAN TERGIAT PADA GERAKAN PRAMUKA KECAMATAN JATISAMPURNA BEKASI Muhamad Sony Pratama; Sri Dianing Asri; Desi Ramayanti; Sri Andriati Asri; Widyadi Setiawan
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2373

DKR Jatisampurna Bekasi is a Group of Scout Members in the Jatisampurna area who are responsible for scouting management. Every year DKR Jatisampurna will choose the Most Active Ambalan in the Jatisampurna area. This study intends to get DKR Jatisampurna's active ambalan using Profile Matching. The Profile Matching method is used to compare individual/school competencies into competencies as the best shelves so that differences in competence (Gap Value) can be identified. The smaller the Gap Value generated, the greater the weighted score, which means that there is a greater opportunity for individuals/schools to become the best Troops in Jatisampurna district. The criteria provided by DKR Jatisampurna include the criteria of 35% Activeness, 35% Organizational, and 35% Non-Organizational. The three criteria are further divided into core and secondary factors, with the provisions of DKR Jatisampurna 50% core factor and 50% secondary for Activeness criteria, 60% core factor and 40% secondary for Organizational aspects, and 40% core factor and 60% secondary for non-organizational criteria. The end result of the profile matching process is the ranking of the shelves that can be used as the best shelves. Ranking is determined from the total value of the assessment sorted from the largest value to the smallest, where the alternative with the largest total value is selected as the final result. The profile matching method for determining the most active ambalan at DKR Jatisampurna Bekasi has worked well, with the highest score of 4.376875 for SMKN 14.

RANCANG BANGUN ALAT KEHADIRAN OTOMATIS MENGGUNAKAN QRCODE DILENGKAPI DENGAN PENGUKUR SUHU BADAN DAN CUCI TANGAN Ni Putu Dina Rahmawati; I Gst A. Komang Diafari Djuni H; Widyadi Setiawan
Jurnal SPEKTRUM Vol 10 No 1 (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.i01.p11

At the beginning of 2020 the world was shocked by the outbreak of the corona virus which infected almost all countries in the world. WHO since January 2020 has declared the world to be in a global emergency related to the Covid-19 virus. As a preventive measure, every public facility and shop must have hand washing equipment, check body temperature before entering the room so that people who have a high temperature must go to the doctor, this also applies to schools to prevent new clusters in the educational environment. In this journal, the presence of a QRCODE-based automatic tool using the MLX90614 temperature sensor to measure body temperature is connected to the Arduino UNO microcontroller and displayed on the LCD in the form of temperature sensor measurement data and OLED displays QRCODE data scanned using the presence application. The Sensor Module MLX90614 has an IR sensitive thermopile detector chip and a signal conditioning ASIC integrated in the sensor packing model TO-39. The signal conditioning in the form of a low noise amplifier, 17-bit ADC and a powerful DSP unit achieves the accuracy and high resolution of the thermometer. The attendance application is made forAndroid smartphones, students can scan the QRCODE to make attendance through an application on an Android smartphone, so using the QRCODE can speed up and simplify receiving information obtained on the smartphone application. Testing of the prototype tool was carried out at Pupuan One Roof Public Middle School 6, a trial was carried out with several students, the lowest measurement difference was 0.2 °C and the highest was 0.5 °C with a measurement distance of 5 cm from the sensor surface. The prototype can be used for attendance from checking temperature, washing hands and making attendance from a smartphone then the data is submitted and stored in the Firebase database.

Co-Authors A.A Ngurah Amrita Alfian Hadianto Antonius Ibi Weking Ardiansiah Ardiansiah Axel Adamma Diwanda Azra Ariel Azmir Bagus D. Cahyono Desi Ramayanti Dewa Gede Satria Bayu Putra Dewa Made Wiharta Dewa Ngakan Made Barel Dove Gandaria, Aaron Gerry Ian Duman Care Khrisne Dyana Arjana, I Gd. E. Duta Nugraha, I Putu Gede Sastra Utara Gede Sukadarmika Hilmy Jawas I Dewa Gde Bayu Wiranatha I Dewa Gede Aditya Pemayun I Dewa Gede Angga Prastika I G. A. K. Diafari Djuni Hartawan I Gede Dyana Arjana I Gede Dyana Arjana, I Gede I Gede Wiyoga Putra I Gusti Agung Adhi Waskita I Gusti Agung Komang Diafari Djuni Hartawan I Gusti Made Andi Dipayana I Ketut Ariek Astana Adi I Made Arsa Suyadnya I Made Martina Edi Putra I Made Oka Widyantara I N Satya Kumara I Nyoman Budiastra I Nyoman Setiawan I Putu E. Duta Nugraha I Putu Gede Krsna Yudha Dharma I Putu Hardy Sarjana I Putu Weda Suryawan I Wayan Darma Satika Ida Ayu Putu Intania Paramitha1 Ida Bagus A. Swamardika Issabelle M. Merry Jaime Luis da Costa Kevin Philip Komang Oka Saputra Komang Rio Adi Prasetya Limbong, Patrick Andreas Linawati Linawati M. Merry, Issabelle Made R. D. Prabawa Maharta Pemayun, A.A Gd. Maria Gusti Agung Ayu Permata Michael Angelo Vincensio Simon Muhamad Sony Pratama Ngurah Indra ER Ni Kadek Diah Parwati Ni Made Ary Esta Dewi Wirastuti Ni Putu Dina Rahmawati Ni Wayan Ernawati Novadianto Yudha Irawan Nyoman Putra Sastra Oktafiana Susanti, Baiq Dwinda Padwita Darma, I Made Angga Pande Ketut Sudiarta, Pande Ketut Patrick Andreas Limbong Pawana, I Wayan Adi Juliawan Permata Sari, Indah Ayu Philip, Kevin R. D. Prabawa, Made Rendi Gustina Riawanto Tambun Robbani Punggawa Arcapada Rukmi Sari Hartati Satriya Utama Sri Andriani Asri Sri Andriati Asri Sri Andriati Asri Sri Andriati Asri Sri Andriati Asri Sri Andriati Asri, Sri Andriati Sri Dianing Asri Sungkono, Gilberth Tjok Gede Indra Partha Vina Yuliani, Ni Putu Willy Sucipto Willy Susanto

Title

Found 39 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 39 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 39 Documents
Search