Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

2.439

P-Index

This Author published in this journals

All Journal Jurnal Ilmu Komputer Jurnal Pendidikan Teknologi dan Kejuruan KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Sains dan Teknologi JUTI: Jurnal Ilmiah Teknologi Informasi Journal of ICT Research and Applications Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Network Engineering Research Operation [NERO] Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal RESEARCH : Computer, Information System & Technology Management Jurnal ULTIMATICS WIDYA LAKSANA Journal of Education Technology International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) INSERT: Information System and Emerging Technology Journal

Gede Aditra Pradnyana

Universitas Pendidikan Ganesha

Author-ID : 344011

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 105 Documents Claim Missing Document

Claim Missing Document

Articles

6 7 8 9 10

Pengembangan Digital Story Book â€œSatua Baliâ€ Berbasis Mobile I Made Yoga Prasada; I Made Putrama; Gede Aditra Pradnyana
SINTECH (Science and Information Technology) Journal Vol. 1 No. 1 (2018): SINTECH Journal Edition April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v1i1.209

This research aimed to produce a media in the form of Digital Story Book "Satua Bali" Based Mobile that could be a container to provide a collection of Satua Bali, so it could be utilized to help maintaining the existence of Satua Bali among the community, especially children. Digital Story Book "Satua Bali" Based Mobile has some additional features, such as user can add new satua, share to the social medias, give comment, like, add as favorite, etc. This research was a type of research and development with research model of ADDIE (Analysis, Design, Development, Implementation, Evaluation). The testing process was conducted in six stages, namely test: whitebox and blackbox which obtain good result, content expert which obtains result of 96,2% (very appropriate), media expert that obtains result of 92,5% (very appropriate), users responses with UEQ method obtain good result, and compatibility is successfully implemented to 10 different devices. The final result of this research is the application of Digital Story Book "Satua Bali" which can be run on smartphone with android operating system.

PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PEMBERIAN BANTUAN BIMTEK KEPADA INDUSTRI KECIL DAN MENENGAH (IKM) DENGAN METODE ANALITYCAL HIERARCHY PROCESS (AHP) DAN SIMPLE ADDITIVE WEIGHTING (SAW) Komang Sudana Yasa Pande; Made Windu Antara Kesiman; Gede Aditra Pradnyana
SINTECH (Science and Information Technology) Journal Vol. 3 No. 1 (2020): SINTECH Journal Edition April 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v3i1.391

The Buleleng Regency's Office of Trade and Industry has one of the tasks to develop and empower Small and Medium Industries (IKM) in Buleleng. One of the ways undertaken by the agency is to provide assistance to Bimtek entrepreneurship training or Technical Guidance. Bimtek is technical guidance assistance from government programs to improving and developing small and medium industries. However, sometimes this assistance is inconsistent because decisions are often changed. For this reason a decision support system was developed using AHP and SAW methods with 8 criterias including: number of monthly production, average product prices, number of equipment owned, number of employees, length of business establishment, annual sales value, total annual raw material and distance to Buleleng Government Commerce and Industry Office. The system developed can help the Buleleng Government Commerce and Industry to determine bimtek beneficiaries according to predetermined criterias. The development of this decision support system was built using the SDLC Method with a waterfall model. There are 4 tests performed including: blackbox testing, whitebox testing, accuracy testing, and user response testing. This study successfully developed a decision support system after passing the blackbox test and the whitebox test. Accuracy test showed very good results with an accuracy rate of 86.67%. The user response test conducted on 4 users including: admin, staff, IKM support and the general public has a mean percentage of 92.3% which is in a very good range.

PENGEMBANGAN SISTEM CERDAS UNTUK PREDIKSI DAFTAR KEMBALI MAHASISWA BARU DENGAN METODE NAIVE BAYES (STUDI KASUS: UNIVERSITAS PENDIDIKAN GANESHA) Komang Aditya Pratama; Gede Aditra Pradnyana; I Ketut Resika Arthana
SINTECH (Science and Information Technology) Journal Vol. 3 No. 1 (2020): SINTECH Journal Edition April 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v3i1.523

Ganesha University of Education or Undiksha is one of the state universities in Bali, precisely in the city of Singaraja. In the admission of new students, Undiksha applies 3 admissions paths, as follows the State University National Admission Selection (SNMPTN), State University Joint Entrance Test (SBMPTN), and Independent Entrance Test (SMBJM) consisting of 2 parts namely Computer Based Test (CBT) and Interests and Talents. Each year the committees are busy with the re-registration of prospective students. In determining the number of students quota for re-registration, they are still using the manual method in form of an excel file, so they want to use a system to do the process. These problems can be overcome by using â€œIntelligent System for Re-Registration of New Students Prediction using the Naive Bayes Method (Case Study: Ganesha University of Education)â€. The Naive Bayes method is used to determine the re-register probability of the new students so that the number of students who re-register can be determining the new students quota. In developing the system, the researcher use the CRISP-DM methodology as a standard of data mining process as well as a research method. The results of this prediction system research show that the system can predict well with the average predictive system accuracy value of 75.56%.

IDENTIFIKASI CITRA UKIRAN ORNAMEN TRADISIONAL BALI DENGAN METODE MULTILAYER PERCEPTRON I Gede Rusdy Mahayana Putra; Made Windu Antara Kesiman; Gede Aditra Pradnyana; I Made Dendi Maysanjaya
SINTECH (Science and Information Technology) Journal Vol. 4 No. 1 (2021): SINTECH Journal Edition April 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i1.552

Balinese ornament carving are a cultural heritage that is owned by especially the Balinese people. However, especially Balinese people only know the shape of the carving without knowing the name and characteristics of the Balinese traditional carving ornaments. Based on these problems, the researchers have a solution to research about Balinese Ornament Carving Identification by utilizing digital image processing technology. In this study uses Gabor Filter as a feature extraction from the carved image that used and Multilayer Perceptron as a classifier. There are 18 (eighteen) classes of Balinese carving ornaments use in this study with a total of dataset is 268 (two hundred and sixty eight). The purpose of this study was to determine the level of identification accuracy of Balinese ornament carving with Multilayer Perceptron method. In the implementation using digital image processing technic with Multilayer Perceptron method was based on backpropagation learning algorithm with 10560 neuron input layers, 50 neuron hidden layers, and 18 neuron output layers as classifier obtained the accuracy for testing is 43%. Classification testing based on k-fold cross validation with K=5 results in average accuracy of 41.14% with optimum accuracy of 56% and accuracy testing with Confusion Matrix obtained the accuracy 43.3%, sensitivity 42.68% and specificity 96.87%.

Pengembangan Game Gamelan Gender Wayang Berbasis Virtual Reality Gede Yogi Wiryawan; Dewa Gede Hendra Divayana; Gede Aditra Pradnyana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Gamelan is one of the most popular musical instruments and is admired by international gamelan residents, divided into three types, namely Javanese Gamelan, Balinese Gamelan and Sundanese Gamelan. One of the Balinese Gamelan instruments that is still used today is Gender Gamelan. Gamelan Gender Wayang has almost the same function as gamelan music in general, but the Gamelan Gender Wayang is not accompanied by other musical attributes such as dots or flutes. The purpose of this study is to develop Gamelan Gender Wayang Games Based on Virtual Reality so that this application can facilitate the younger generation in learning the Gamelan Gender Wayang music. This application allows users to feel the atmosphere of playing gamelan in general with the help of an HTC VIVE tool. This Virtual Reality Based Gamelan Gender Wayang Game Development uses the ADDIE model. There are five stages in the ADDIE model, namely Analysis (Analyze), Design (Design), Development (Development), Implementation (Implementation), and Evaluation (Evaluation). Product development with this model can produce good products, because at each phase that is passed can evaluate. Tests to find out the response of the community after using the Gamelan Gender Wayang Game Based on Virtual Reality were conducted using the questionnaire method and had results with an average percentage of 87.72% which means the application was in a very good category.

High Scalability Document Clustering Algorithm Based On Top-K Weighted Closed Frequent Itemsets Gede Aditra Pradnyana; Arif Djunaidy
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 2 (2021): April 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Documents clustering based on frequent itemsets can be regarded a new method of documents clustering which is aimed to overcome curse of dimensionality of items produced by documents being clustered. The Maximum Capturing (MC) technique is an algorithm of documents clustering based on frequent itemsets that is capable of producing a better clustering quality in compared to other similar algorithms. However, since the maximum capturing technique employed frequent itemsets, it still suffers from such several weaknesses as the emergence of items redundancy that may still cause curse of dimensionality, difficult to determine the minimum support value from a set of documents to be clustered, and no weighting on items incurred to the resulting frequent itemsets. To cope with those various weaknesses, in this research, an algorithm of documents clustering based on weighted top-k closed frequent itemsets, which is called as Weighted Maximum Capturing (WMC) algorithm, is developed. The proposed algorithm involves the frequent pattern tree algorithm to mine closed frequent itemsets from a set of documents without specifying the minimum support value of items to be generated. Experimental results showed that improvement on the resulting clustering accuracy was produced. The resulting average values of F-measure of 0.713 and purity of 0.721 with improvement ratio of 1.4% for F-measure and 2% for purity. Nevertheless, results of the scalability test showed very significant improvement. The WMC algorithm only requires the average computing time of 623.77 minutes, 518.05 minutes faster than the average computing time required by the MC algorithm.

Usability Testing Menggunakan Model PACMAD Pada Aplikasi Mobile Tabanan Dalam Genggaman Putu Moni Lestari; I Made Ardwi Pradnyana; Gede Aditra Pradnyana
RESEARCH : Journal of Computer, Information System & Technology Management Vol 4, No 1 (2021)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/research.v4i1.7070

Aplikasi Tabanan Dalam Genggaman adalah aplikasi mobile milik Pemerintah Kabupaten Tabanan. Aplikasi ini memuat beragam data dan informasi tentang Kabupaten Tabanan. Sebagai aplikasi yang bersifat public penting untuk melakukan uji guna mengetahui tingkat usability sehingga dapat memaksimalkan kebergunaan aplikasi. Pengujian usability testing menggunakan model PACMAD (People At The Center Of Mobile Application Depelovment) dengan 7 atribut pengukuran serta melibatkan 12 responden pada rentang usia 15-41 tahun. Dari hasil pengujian usability testing yang dilakukan dengan teknik performance measurement, RTA, Kuesioner SUS dan NASA-TLX diketahui bahwa aplikasi tabanan dalam gengaman dapat dikategorikan telah memenuhi tingkat usability yang baik untuk sebuah aplikasi mobile. Hal ini berdasarkan pada terpenuhinya 7 atribut usability pada model PACMAD yaitu efficiency sebesar 0,0380050295 goals/second, effectiveness 97%, learnability 92%, memorability 98%, error 0,090278, satisfaction 59,375 dan cognitive load 43,4444. Sebagai upaya meningkatkan usability pada aplikasi Tabanan Dalam Genggaman maka dirancangan rekomendasi perbaikan dalam bentuk wireframe/mockup yang didasarkan pada teori 8 golden rules dari Benn Sneidermann dan 10 prinsip user interface aplikasi mobile dari Jonathan Stark. Hasil analisis data performance measurement dan data hasil RTA dijadikan sebagai acuan dan pertimbangan untuk memutuskan bagian, halaman dan fitur dalam aplikasi Tabnanan Dalam Genggaman yang akan diberikan rekomendasi perbaikan.

Pengujian Usability Pada Prototype Aplikasiwadaya Dengan Metode Usability Testing Mengadopsi Standar Iso 9241:11 Kadek Krisna; I Ketut Resika Arthana; Gede Aditra Pradnyana
Ultimatics : Jurnal Teknik Informatika Vol 11 No 1 (2019): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

The purpose of this research is to test the usability of Wadaya application prototype using usability testing method adopting ISO 9241: 11 standard. Wadaya application prototype will be tested using three usability concepts namely effectiveness, efficiency, and user satisfaction. In this research, testing will be done twice with 20 respondents. The first prototype test result shows that (1) Wadaya application prototype is still not effective seen from mistakes made by respondents when during the execution of the task. The results showed 53.57%. (2) Wadaya application prototype is not efficient seen from the result of 44% Overall Relative Efficiency. (3) Wadaya application prototype has not fulfilled user satisfaction seen from 59,00 SUS score. The second prototype test results show that (1) Wadaya application second prototype is still not effective seen from mistakes made by respondents when during the execution of the task. The results showed 19,17% for the beginner group and 25,00% for the advance group. (2) Wadaya application second prototype is not efficient seen from the result of 74% Overall Relative Efficiency. (3)Wadaya application second prototype has fulfilled the user satisfaction seen from SUS score of 69,00 which is stated have satisfied when compared with SUS standard that is 68.

Impression Classification of Endek (Balinese Fabric) Image Using K-Nearest Neighbors Method Gede Aditra Pradnyana; I Komang Agus Suryantara; I Gede Mahendra Darmawiguna
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 3, August 2018
Publisher : Universitas Muhammadiyah Malang

An impression can be interpreted as a psychological feeling toward a product and it plays an important role in decision making. Therefore, the understanding of the data in the domain of impressions will be very useful. This research had the objective of knowing the performance of K-Nearest Neighbors method to classify endek image impression using K-Fold Cross Validation method. The images were taken from 3 locations, namely CV. Artha Dharma, Agung Bali Collection, and Pengrajin Sri Rejeki. To get the image impression was done by consulting with an endek expert named Dr. D.A Tirta Ray, M.Si. The process of data mining was done by using K-Nearest Neighbors Method which was a classification method to a set of data based on learning data that had been classified previously and to classify new objects based on attributes and training samples. K-Fold Cross Validation testing obtained accuracy of 91% with K value in K-Nearest Neighbors of 3, 4, 7, 8.

SISTEM REKOMENDASI LOKASI MAGANG BERDASARKAN KOMPETENSI BERBASIS ARTIFICIAL INTELLIGENCE UNTUK LULUSAN DEMAND DRIVEN (STUDI KASUS : JURUSAN MANAJEMEN INFORMATIKA, UNDIKSHA) Agus Aan Jiwa Permana; Gede Aditra Pradnyana
Jurnal Teknologi Informasi dan Komputer Vol 4, No 1 (2018): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1949.077 KB)

ABSTRACTThis research is aimed at providing student location information to students in accordance withtheir respective competencies. The most important thing is to direct students to an apprenticeshiplocation that is in accordance with their competencies because it will greatly influence their careerin the future. Armed with skills at the internship location, students can improve their competence inaccordance with market demand (demand driven). The program at the end of semester 5 at the endof the semester students have to find an internship location. Someone is said to be competent in afield if it meets the aspects of knowledge, skill and attitude. Knowledge, skills and attitudes (PKS)are strongly influenced by the learning system and learning environment. The tools developed arean application based on Artificial Intelligence using the Elman Recurrent Neural Network (ERNN)method. ERNN is a Artificial Terms Network method that has a feedback connection from previousinput, so that it is expected to improve the performance of ANN. The structure makes iteration willbe much faster and convergence will be faster in the training process. The system developed will beable to produce apprenticeship location recommendations in accordance with student competenciesusing previous apprenticeship data. The data used is measurable and includes a Grade PointAverage that represents aspects of knowledge, aspects of skills adapted to subjects related tograduate profiles, personality tests that have international standards developed by John Hollandrepresent aspects of attitude.Keywords : Recommended internship locations, Artificial Terms Network, ArtificialIntelligence, demand driven, Successful career in IndustryABSTRAKPenelitian ini adalah bertujuan memberikan informasi lokasi magang kepada mahasiswa sesuaidengan kompetensi masing-masing. Hal yang paling penting adalah mengarahkan mahasiswa kelokasi magang yang sesuai dengan kompetensinya karena akan sangat besar pengaruhnya dengankarir mereka di masa depan. Dengan berbekal keterampilan di lokasi magang, mahasiswa dapatmeningkatkan kompetensinya sesuai dengan permintaan pasar (demand driven). Program saat akhirsemester 5 di akhir semester mahasiswa sudah harus mencari lokasi magang. Seseorang dikatakankompeten di suatu bidang apabila memenuhi telah memenuhi aspek pengetahuan, keterampilan, dansikap. Pengetahuan, keterampilan, dan sikap sangat dipengaruhi oleh sistem pembelajaran danlingkungan belajar. Tools yang dikembangkan adalah sebuah aplikasi berbasis ArtificialIntelligence menggunakan metode Elman Recurrent Neural Network (ERNN). ERNN adalahsebuah metode Jaringan Syarat Tiruan yang memiliki koneksi umpan balik dari masukansebelumnya, sehingga diharapkan dapat meningkatkan kinerja JST. Struktur tersebut membuatiterasi akan jauh lebih cepat dan konvergensi akan menjadi lebih cepat dalam proses training.Sistemyang dikembangkan akan dapat menghasilkan rekomendasi lokasi magang sesuai dengankompetensi mahasiswa menggunakan data magang sebelumnya. Adapun data yang digunakanbersifat terukur dan meliputi ketiga aspek PKS seperti Indeks Prestasi Kumulatif yang mewakiliaspek pengetahuan, aspek keterampilan disesuaikan dengan mata kuliah yang berhubungan denganprofil lulusan, tes kepribadian yang sudah berstandar internasional yang dikembangkan oleh JohnHolland mewakili aspek sikap.Kata kunci: Rekomendasi lokasi magang, Jaringan Syarat Tiruan, Artificial Intelligence,demand driven, Sukses berkarir di Industri

Co-Authors ., I Dewa Gede Angga Sitangga Putra ., I Gede Herri Yudiana Sucitra ., I Kadek Supriandana ., I Made Agus Oka Wijaya ., I Putu Aditya Narayana ., Kadek Adi Sidiantara ., Pande Komang Saputra A. A. Gede Yudhi Paramartha Achmad Yogie Setiawan Adityastika, Putu Angga Adnyana, Gede Ari Adnyani, Ni Luh Putu Sri Agus Aan Jiwa Permana Agus Ari Premana Agus Kamiana Agus Seputra I Ketut Arif Djunaidy Arya, Ketut Brahma, A.A. Gede Raka Wahyu Candra Sulistyawati Darma, Komang Agus Satia Devi Dwi Hariyanti Dewa Gede Hendra Divayana, Dewa Gede Hendra Dewantara, Ari Indrawan Dewi, Ni Putu Sri Indra Padma Dharma Putra, I Gede Wira Didit Kurniawan Driya, Putu Dhanu Fahrul Rizal, Fahrul Gede Saindra Santyadiputra Gede Saindra Santyadiputra Gede Saindra Santyadiputra, Gede Saindra Gede Saindra Santyadiputra, S.T., M.Cs . Gede Yogi Wiryawan Hartini, Nyoman Sugi Hartini, Nyoman Sugi Hartini, Ria I Dewa Gede Angga Sitangga Putra . I Gede Dedy Prasetia I Gede Herri Yudiana Sucitra . I Gede Mahendra Darmawiguna I Gede Riyan Ardi Darmawan I Gede Rusdy Mahayana Putra I Kadek Ary Prahayuda I Kadek Arya Budi Artana I Kadek Supriandana . I Ketut Resika Arthana I Komang Agus Suryantara I Komang Ari Mogi I Made Agus Oka Wijaya . I Made Ardwi Pradnyana I Made Dedi Suardika I Made Edy Listartha I Made Putrama I Made Windu Antara Kesiman I Made Yoga Prasada I Md. Dendi Maysanjaya I Putu Aditya Narayana . I Putu Andika Subagya Putra I Putu Dedy Wira Darmawan I Putu Gede Hendra Suputra Ida Bagus Nyoman Pascima Ida Bagus Putu Suarma Putra Ign Edo Paska Kadek Adi Sidiantara . Kadek Krisna Kadek Yota Ernanda Aryanto Kamiana, Agus Ketut Agustini Ketut Arya Komang Aditya Pratama Komang Aditya Pratama Komang Agus Satia Darma Komang Sudana Yasa Pande Komang Sudana Yasa Pande Komang Wisnu Baskara Putra Kusumadiputra, Made Novta Luh Putu Eka Damayanthi, Luh Putu Eka M.Cs ., Gede Saindra Santyadiputra, S.T., M.Cs M.Cs S.Kom I Made Agus Wirawan . Made Aristia Prayudi Made Novta Kusumadiputra Made Windu Antara Kesiman Made Windu Antara Kesiman Mogi, I Komang Ari Ni Komang Arie Suwastini Ni Made Rai Wisudariani Ni Made Sthiti Nur Hita Ni Nyoman Sugihartini Ni Putu Sri Indra Padma Dewi Nur Hita, Ni Made Sthiti P. WAYAN ARTA SUYASA Pande Komang Saputra . Paska, Ign Edo Prahayuda, I Kadek Ary Prasada, I Made Yoga Prasetia, I Gede Dedy Premana, Agus Ari Purnandita, Ida Bagus Putra, I Gusti Kade Ari Satria Putra, Komang Wisnu Baskara Putu Angga Adityastika Putu Moni Lestari Putu Setiari, Gusti Ayu Ria Hartini Samgraha, Kadek Dwi Loka Sasmita, Ade Suardika, I Made Dedi Suarma Putra, Ida Bagus Putu Sulistyawati, Candra Sunarya, I Made Arisetiawan Sunarya, I Made Arisetiawan Suryantara, I Komang Agus Yogi Aditya Yunita Purnama Sari Yunita Purnama Sari

Title

Found 105 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 105 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 105 Documents
Search