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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Majalah Ilmiah Teknologi Elektro Bulletin of Electrical Engineering and Informatics Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Teknologi Informasi dan Komputer Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYABHAKTI Jurnal Ilmiah Populer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) IJISTECH (International Journal Of Information System & Technology) International Journal of Engineering and Emerging Technology Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Jurnal Info Sains : Informatika dan Sains JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Pengabdian Masyarakat Bangsa Jurnal Pengabdian Kepada Masyarakat SEWAGATI Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia
I Putu Agus Eka Darma Udayana, I Putu Agus Eka
Institut Bisnis Dan Teknologi Indonesia (INSTIKI)
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Integrasi Sistem Single Sign On Pada Sistem Informasi Akademik, Web Information System Dan Learning Management System Berbasis Central Authentication Service Udayana, I Putu Agus Eka Darma
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (757.355 KB) | DOI: 10.31598/jurnalresistor.v1i1.265

Abstract

Elearning and web based information systems is a means to communicate and exchange information for academic purposes.  Nowadays lightweight directory access protocol (LDAP) is a state of the art method of choice. With LDAP technologies user only need one username and password to access to multiple web based application, The problem is if the user wanted to do autentification said user had to input their credentials over and over again for each application. To solve that problem single sign on mechanism (SSO) is invented. With SSO user only need login once and they got all the same credentials with them to all intergrated application wthin the campus. To implement the SSO we use Central authentication service (CAS) as a authentifiation central within LDAP structure as a user management. In this reseach we see that single sign on (SSO) system that intergrated into student management system, E-Learning system and  Internal blog system both use of database based system or even LDAP based system.
Implementasi Kombinasi Metode Mean Denoising dan Convolutional Neural Network pada Facial Landmark Detection Udayana, I Putu Agus Eka Darma; Supartha, I Kadek Dwi Gandika
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol 10, No 1 (2021)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v10i1.29779

Abstract

Facial landmark detectionmerupakan bagian dari facial recognition,bertujuan untuk mengidentifikasi titik fokus pada wajah berdasarkan ciri penampakan bagian wajah yang cenderung menonjol, seperti area mata, hidung, bibir, serta tulang pipi. Facial landmark detection sering diimplementasikan pada bidang pengenalan wajah, prediksi pose wajah, rekonstruksi wajah 3 dimensi, serta pengembangan sistem deteksi kelelahan karyawan berdasarkan ekspresi wajah. Seiring bertambahnya ketersediaan citra wajah dan kebutuhan proses komputasi yang cepat, metode Convolutional Neural Network (CNN) diimplementasikan pada facial landmark detection. Namun beragamnya kualitas citra menyebabkan CNN kurang optimal dalam melakukan deteksi. Oleh karena itu guna mengatasi permasalahan terkait kualitas citra ini, diimplementasikan metode mean denoising sebagai upaya peningkatan nilai akurasi CNN dalam melakukan pendeteksian landmark wajah. Dataset citra wajah diperoleh dari platform Kaggle, LFW-People, AFLW200 dan Female Facial Image Dataset, dengan total sebanyak 2.050 citra wajah, dan terbagi menjadi 2.000 data latih dan 50 data uji. Berdasarkan hasil pengujian, kombinasi metode CNN dengan mean denoising menghasilkan peningkatan akurasi yang lebih baik dalam pengenalan objek pada wajah pada kualitas citra yang heterogen dengan rata-rata akurasi pengujian sebesar 81,33%.Akurasi yang cukup baik ini didapatkan karena citra wajah masukan dilakukan penghilangan noise terlebih dahulu sehingga fitur dari citra yang seringkali menyebabkan sistem CNN salah dalam mengidentifikasi objek pada wajah dapat diminimalisir.
Comparison of Final Results Using Combination AHP-VIKOR And AHP-SAW Methods In Performance Assessment (Case Imanuel Lurang Congregation) Devi Valentino Waas; I Gede Iwan Sudipa; I Putu Agus Eka Darma Udayana
IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i5.185

Abstract

Determination of the final result in determining the decision is to determine the best alternative from several existing alternatives based on several predetermined criteria. The criteria are measures, rules, or standards for making decisions. It can be done by combining several Multi-Criteria Decision Making (MCDM) methods such as AHP, VIKOR, SAW, TOPSIS, and others to get the best decision results. The Analytical Hierarchy Process (AHP) method is one of the MCDM methods with advantages at the criteria weighting stage. It uses a consistency test to see whether the weights obtained are consistent. In comparison, the VIKOR and SAW methods are also of MCDM methods but do not apply the weighting consistency test. With the advantages and disadvantages of each MCDM method, it is possible to combine several existing methods to provide better solutions or alternatives. This study compares the ranking results between the combination of the AHP-VIKOR method and the combination of the AHP-SAW method in a performance appraisal case study. The AHP method is used to weight the criteria and sub-criteria, while the VIKOR and SAW methods are used in the alternative ranking process. The test results show differences in the alternative ranking results between the two combinations of MCDM methods used.
Perbandingan Performansi Pengamanan File Backup LPSE Menggunakan Algoritma DES Dan AES I Putu Agus Eka Darma Udayana; Nyoman Putra Sastra
Jurnal Teknologi Elektro Vol 15 No 1 (2016): (January - June) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.022 KB) | DOI: 10.24843/MITE.2016.v15i01p19

Abstract

LPSE is a unit established for the purpose of organizing care systems procurement of goods and services electronically to facilitate the scope of work ULP. In the main server LPSE contained important data procurement of goods / services. To maintain the availability of data every transaction and supporting the availability of the system, then the backup server devices are provided. In a process that requires data backup from the primary server to the backup server through a LAN network. In the process of data transfer required a method of ensuring the security of data is maintained. Data security encryption mechanism and descriptions used are DES and AES algorithms. Because of this encryption process, the necessary computing will indirectly membenani server. From the test results, the performance of the backup file on the server security LPSE the AES method is superior to DES method with an average time of 195.4 seconds file encryption 189.1 seconds ahead of DES method. The file size of the generated encryption is also not much different that makes the time required in the backup process is not much different. With less time required in the process of securing, then the server load will be less. DOI: 10.24843/MITE.1501.19
Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG I Putu Agus Eka Darma Udayana; Made Sudarma; Ni Wayan Sri Ariyani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 12 No 3 (2021): Vol. 12, No. 03 December 2021
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2021.v12.i03.p06

Abstract

Epworth sleepiness scale is a self-assessment method in sleep medicine that has been proven to be a good predictor of obstructive sleep apnea. However, the over-reliance of the method making the process not socially distancing friendly enough in response to a global covid-19 pandemic. A study states that the Epworth sleepiness scale is correlated with the brainwave signal that commercial-grade EEG can capture. This study tried to train a classifier powered by CNN and deep learning that could perform as well as the Epworth with the objectiveness of brainwave signal. We test the classifier using the 20 university student using the Epworth sleepiness test beforehand. Then, we put the participant in 10 minutes EEG session, downsampling the data for normalization purposes and trying to predict the outcome of the ESS in respect of their brainwave state. The AI predict the reaching 65% of accuracy and 81% of sensitivity with just under 100.000 dataset which is excellent considering small dataset although this still have plenty room for improvement.
A Deep Learning Approach For COVID 19 Detection Via X-Ray Image With Image Correction Method I Gede Totok Suryawan; I Putu Agus Eka Darma Udayana
International Journal of Engineering and Emerging Technology Vol 5 No 2 (2020): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i02.p018

Abstract

In the mitigation effort for reducing the spread of the SARS-CoV-2 pandemic in Indonesia, finding, detecting, and containing the suspect be a very crucial step to contain the virus. One of the ways that this can be detected is by thorax x-ray examination by the expert. Transferring the doctor's knowledge to a computer makes the task more scalable and precise. This can be done by building a small artificial intelligence using a simple CNN model to detect COVID biomarkers' presence in x-ray images. As the AI relies heavily on the x-ray dataset as the system's underlying basis has a good quality dataset is very important. However, the x-ray data tend to have a noise problem that will affect their overall system quality. We did a little comparative study with the objective to improve the quality of the dataset with three techniques of image enhancement, namely color denoising, mean denoising, and contrast enhancement, with the mean denoising outperform the other image manipulation method by 4%, which yield the accuracy of the system to 95% with 100 pieces of real-world test data. Hopefully, this study would inspire future studies improving the tech-based pandemic mitigation technology In the future.
Integrasi Sistem Single Sign On Pada Sistem Informasi Akademik, Web Information System Dan Learning Management System Berbasis Central Authentication Service I Putu Agus Eka Darma Udayana
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 1 No. 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v1i1.265

Abstract

Elearning and web based information systems is a means to communicate and exchange information for academic purposes. Nowadays lightweight directory access protocol (LDAP) is a state of the art method of choice. With LDAP technologies user only need one username and password to access to multiple web based application, The problem is if the user wanted to do autentification said user had to input their credentials over and over again for each application. To solve that problem single sign on mechanism (SSO) is invented. With SSO user only need login once and they got all the same credentials with them to all intergrated application wthin the campus. To implement the SSO we use Central authentication service (CAS) as a authentifiation central within LDAP structure as a user management. In this reseach we see that single sign on (SSO) system that intergrated into student management system, E-Learning system and Internal blog system both use of database based system or even LDAP based system.
IMPLEMENTASI OPTICAL CHARACTER RECOGNITION (OCR) DAN PENDEKATAN THESAURUS UNTUK MENEMUKAN INFORMASI PADA SURAT MASUK DI STMIK STIKOM INDONESIA I Made Avendias Mahawan; I Putu Agus Eka Darma Udayana
Jurnal Teknologi Informasi dan Komputer Vol 6, No 1 (2020): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (743.324 KB)

Abstract

ABSTRACTSTMIK STIKOM Indonesia currently has 3,953 active students and 1,400 new students entering the academic year 2019/2020. This campus has good cooperation between educational institutions or other non-educational institutions which are indicated through an invitation to attend or participate in activities organized by other institutions. At present, incoming letters or invitations received an average of 50 letters in a month, to simplify the process of incoming letters management, this campus began to make improvements by developing a letter filing system, but the process of handling incoming mails has not been done automatically. Optical Character Recognition (OCR) is one of the technologies that can be used to recognize incoming letter details in the form of letter numbers, letter dates, subject matters, letter destinations and source of letters from the scan results of incoming letters. In this study the researchers proposed OCR technology and a thesaurus approach to be able to obtain information from the results of scans of incoming letters at STMIK STIKOM Indonesia, with 50 test data, the accuracy of recognition obtained from OCR technology will be calculated. The test results using 3 scenarios with the number of thesaurus are 10, 30 and 50, produce the highest level of recognition accuracy that is 92% when using 50 thesaurus.Keywords:OCR, Thesaurus, Incoming Letters, STMIK STIKOM Indonesia.ABSTRAKSTMIK STIKOM Indonesia saat ini memiliki mahasiswa aktif lebih dari 4.000 orang. Kampus ini memiliki kerja sama yang baik antar lembaga kependidikan ataupun lembaga lain non kependidikan yang ditunjukkan melalui undangan menghadiri ataupun mengikuti kegiatan yang diselenggarakan oleh lembaga lain. Saat ini, surat masuk atau undangan yang diterima mencapai rata-rata 50 surat dalam sebulan, untuk mempermudah proses manajemen surat masuk, kampus ini mulai melakukan perbaikan dengan mengembangkan sistem pengarsipan surat, namun proses penanganan surat masuk belum dilakukan secara otomatis. Optical Character Recognition (OCR) merupakan salah satu teknologi yang dapat dimanfaatkan untuk mengenali detail surat masuk berupa nomor surat, tanggal surat, perihal surat, tujuan surat serta sumber surat dari hasil scan surat masuk tersebut. Pada penelitian ini peneliti mengajukan teknologi OCR dan pendekatan thesaurus untuk dapat memperoleh informasi dari hasil scan surat masuk di STMIK STIKOM Indonesia, dengan 50 data uji, maka akan dihitung akurasi pengenalan yang diperoleh dari teknologi OCR. Hasil pengujian menggunakan 3 skenario dengan jumlah thesaurus yaitu 10, 30 dan 50 menghasilkan tingkat akurasi pengenalan tertinggi yaitu 92% saat menggunakan 50 thesaurus.Kata Kunci : OCR, Thesaurus, Surat Masuk, STMIK STIKOM Indonesia
Pelatihan Pemasaran Melalui Media Online Pengrajin Waterfall Fountain Miniature Di Desa Getasan I Putu Agus Eka Darma Udayana; I Made Avendias Mahawan; I Komang Arya Ganda Wiguna
WIDYABHAKTI Jurnal Ilmiah Populer Vol. 1 No. 2 (2019): Maret
Publisher : STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.11 KB)

Abstract

Pertumbuhan ekonomi suatu daerah sangat didukung oleh kuantitas usaha yang ada di daerah tersebut. Salah satu usaha yang dapat menopang ekonomi daerah tersebut adalah usaha industri rumah tangga. Rock Waterfall Fountain Miniatures merupakan salah satu industri rumah tangga atau UKM yang terletak di Desa Getasan, Kecamatan Petang, Badung - Bali. Industri tersebut menyediakan beragam model miniatur air terjun. Pada perkembangannya, terdapat beberapa masalah yang dihadapi oleh industri rumah tersebut. Masalah yang dihadapi oleh industri rumah tangga ini adalah keterbatasan pengetahuan dalam membuat media promosi yang menarik dan informatif, sehingga tidak banyak konsumen yang mengetahui lokasi penjualan atau pembuatan serta produk miniatur yang dihasilkan oleh industri ini. Hal ini tentunya akan searah dengan daya jual produk tersebut, semakin sedikit yang mengetahui keberadaan industri ini dan produk yang dihasilkan, maka akan semakin kecil kemungkinan produk yang dihasilkan akan laku terjual. Berdasarkan permasalahan tersebut, industri ini membutuhkan pengetahuan mengenai teknik pemasaran yang efektif untuk memperkenalkan produk yang dihasilkan dapat dikenal oleh masyarakat luas. Pemanfaatan teknologi informasi merupakan solusi yang sangat tepat digunakan untuk memecahkan permasalahan pemasaran produk.
Pelatihan Pengelolaan Website, Media Sosial, dan Google my Business di Kintamani Edelweiss Park I Gede Totok Suryawan; I Putu Agus Eka Darma Udayana
WIDYABHAKTI Jurnal Ilmiah Populer Vol. 2 No. 2 (2020): Maret
Publisher : STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.392 KB)

Abstract

Kintamani Edelweiss Park merupakan salah satu Kelompok Sadar Wisata (Pokdarwis) di Lingkungan Caldera Batur tepatnya di Kaki Gunung Batur Kecamatan Kintamani, Kabupaten Bangli Provinsi Bali. Kintamani Edelweiss Park beranggotakan masyarakat lokal yang sebagian besar merupakan pelaku wisata. Tempat ini dibentuk sebagai alternatif bagi wisatawan selain menikmati Mount Batur and Lake View, Mount Batur Trekking, dan Natural Hot Spring, wisatawan juga bisa menikmati Edelweiss Park yang berlatar belakang Gunung dan Danau Batur. Mitra ini dipilih sejalan dengan Visi dan Misi STMIK STIKOM Indonesia yaitu mendukung perkembangan industri pariwisata melalui pemanfaatan teknologi informasi. PKM ini bertujuan membantu meningkatkan kunjungan wisata ke Bali, meningkatkan perekonomian masyarakat dari sektor pariwisata khususnya Bali Timur untuk pemerataan pembangunan seluruh kabupaten kota di Bali. Pada PKM ini telah diberikan sebuah website domain dan hosting selama satu tahun. Selain memberikan website, juga dilakukan program pelatihan pengelolaan website menggunakan Wordpress, pelatihan manajemen sosial media menggunakan Canva, serta pelatihan membuat listing bisnis di google menggunakan Google my business. Dengan adanya kegiatan PKM, saat ini mitra sudah memiliki website yang bisa diakses di www.kintamaniedelweisspark.com, akun Facebook dan Instagram. Selain itu mitra juga memiliki pengetahuan tentang manajemen website menggunakan wordpress, manajemen sosial media dengan canva serta listing bisnis di Google.
Co-Authors Bagus Kusuma Wijaya Devi Valentino Waas Dewa Putu Yudhi Ardiana Eddy Hartono I Gede Iwan Sudipa I Gede Totok Suryawan I Gusti Agung Indrawan I Gusti Agung Indrawan I Kadek Dwi Gandika Supartha I ketut Gede Darma Putra I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Made Avendias Mahawan I Made Sukarsa I Nyoman Agus Suarya Putra I Putu Dwi Guna Ambara Putra I Putu Yoga Indrawan Ida Bagus Ary Indra Iswara Ketut Ngurah Semadi Komang Redy Winatha Lucky Hardiyanti Kartika Haris Made Dona Wahyu Aristana Made Sudarma Ni Luh Putu Ayu Cintia Utami Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Eka Kherismawati Ni Putu Eka Kherismawati Ni Wayan Sri Ariyani Ni Wayan Wardani Nyoman Putra Sastra Putu Gede Surya Cipta Nugraha Putu Gede Surya Cipta Nugraha Putu Gede Surya Cipta Nugraha Putu Satria Udyana Putra Rikcy Sanusi Risaldi Risaldi Wayan Gede Suka Parwita