Article Per Year (5 Year)
p-Index From 2021 - 2026
3.143
P-Index
This Author published in this journals
All Journal Jurnal Masyarakat Informatika Semantik Techno.Com: Jurnal Teknologi Informasi Scientific Journal of Informatics JAIS (Journal of Applied Intelligent System) Proceeding SENDI_U Journal of Information System E-Dimas: Jurnal Pengabdian kepada Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control InComTech: Jurnal Telekomunikasi dan Komputer Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Abdidas TEPIAN SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) Journal of Soft Computing Exploration Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Seminar Nasional Teknologi dan Multidisiplin Ilmu Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Wellia Shinta Sari
Universitas Dian Nuswantoro
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Public Health Social Sciences Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JAIS (Journal of Applied Intelligent System)

 1 
The Involvement of Local Binary Pattern to Improve the Accuracy of Multi Support Vector-Based Javanese Handwriting Character Recognition Sari, Christy Atika; Sari, Wellia Shinta; Shelomita, Viki Ari; Kusuma, Mohammad Roni; Puspa, Silfi Andriana; Gusta, Muhammad Bima
Journal of Applied Intelligent System Vol. 8 No. 2 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i2.8450

Abstract

Indonesia is a country that is rich in cultural diversity. An example of one such variety is the Javanese language. The letters that are usually used in Javanese are non-Latin letters or are usually known as Javanese script. However, along with advances in technology, the Javanese language is increasingly being forgotten. In the past, the Javanese script was used as a subject in schools, aiming for Indonesian students to continue to gain knowledge about the Javanese script. The initial step in the introduction of the Javanese script starts with the preprocessing process by changing the image of the Javanese script from the RGB image to a grayscale image which is then performed feature extraction, where the feature extraction used in this script recognition is texture extraction with the Local Binary Pattern (LBP) algorithm. The results of this processing are obtained information that can be used as a parameter in the Multi Support Vector Machine (SVM) classification to predict Javanese script images. In this study using the LBP method with the Multi SVM Algorithm as a classification algorithm produces a high accuracy of 90% in the recognition of Javanese script, better than using only Multi SVM with an accuracy of 80%.
Counselor Application Frontend with Personality- matching Using Android-Based K-Means Clustering Algorithm Putra, Ifan Perdana; Rachmawanto, Eko Hari; Sari, Wellia Shinta; Rahayuningtyas, Tri Esti; Umam, Choerul; Himawan, Mahadika Pradipta; Yaacob, Noorayisahbe Bt Mohd
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 1 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i1.10217

Abstract

Education is one of the most important things for people to have. Many people are competing for education to increase their abilities. Technology plays a big role in developing access to education to make it easier with many online applications and online classes education becomes easier. However, there are still many unresolved problems in this field of education, namely the emergence of the phenomenon of incompatibility between educators and students so that student interest decreases dramatically because of this. And also, the lack of learning materials taught that are not school subjects such as programming. Therefore, the author and team designed an application where this application can find students a learning mentor outside of school so that they can increase their knowledge. The application also provides a matching feature based on the student's personality so that the student can find a suitable tutor.
Co-Authors Abas Setiawan Abdussalam Abdussalam, Abdussalam Agus Setiawan Ajib Susanto Amartya Anugrah Indrawati Lestari Annisa Nafasari Arni Ernawati Bambang Sugiarto Belinda Elsa Aulia Sinatrya Cahaya Jatmoko Chaerul Umam Christy Atika Sari D.R.I.M. Setiadi Dibya Prabo Susanto Eko Hari Rachmawanto Erna Zuni Astuti Guruh Fajar Shidik Gusta, Muhammad Bima Hendi Wijaya Hendriyanto , Novi Heru Lestiawan Ika Novita Dewi Islam, Hussain Md Mehedul Krishna Duta Dharmawan Krismawan, Andi Danang Kusuma, Mohammad Roni Laksana , Deddy Award Widya Laksana, Deddy Award Widya Lalang Erawan Lisa Mardiana Mahadika Pradipta Himawan Maria Alfonsa Chintia Dea Prananingrum Maulana Zaky Muhammad MY. Teguh Sulistyono Nugraini , Siti Hadiati Nurhindarto, Aris Paringdyah Dinda Susilowati Pulung Nurtantio Andono Puspa, Silfi Andriana Putra, Ifan Perdana Putri Mega Arum Wijayanti Rahmalan, Hidayah Richard Emmerig Robert Setyawan Rusyida Baniya Savira Shelomita, Viki Ari Siti Hadiati Nugraini Suhariyanto Suhariyanto Sumarni Adi, Sumarni Tri Esti Rahayuningtyas Umam, Choerul Virna Soraya Yaacob, Noorayisahbe Bt Mohd Yaacob, Noorayisahbe Mohd