Article Per Year (5 Year)
p-Index From 2021 - 2026
0.882
P-Index
This Author published in this journals
All Journal JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) IJID (International Journal on Informatics for Development) Minda Baharu Amalee: Indonesian Journal of Community Research & Engagement
Dewi Wisnu Wardani
Sebelas Maret University (UNS) Surakarta, Indonesia
Humanities Computer Science & IT Engineering Public Health Social Sciences Other

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JOIN (Jurnal Online Informatika)

 1 
FoFA: Diet Information for Children with Autism with Semantic Technology in Android Based Application Febrianto, Lutfi Aristian; Wardani, Dewi Wisnu; Wijayanto, Ardhi
JOIN (Jurnal Online Informatika) Vol. 5 No 2 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i2.615

Abstract

The number of people with autism in Indonesia increases by 0.15% or 6,900 children per year. One of the actions that can be done to overcome developmental disorders of children with autism is to do Feingold and Failsafe Diet, Specific Carbohydrate Diet (SCD diet), and Casein-Free Gluten Free diet (CFGF diet) on foodstuffs given to children with autism. There is a need for socialization and presentation of information regarding the regulation of food items given to children with autism. Currently, there is no presentation of information in the form of mobile-based applications as a forum for parents to exchange information, especially those that utilize semantic technology. By utilizing semantic technology, the Food For Autism (FoFA) application was created to share knowledge for users related to food and beverage diet menus for children with autism. The test results show that the application of FoFA can apply semantic technology related to diet and food diets for children with autism.
YouTube X-Rating Detection with Bahasa-Slang Title Using Query Expansion and Rule Based Approaches Wardani, Dewi Wisnu; Shabihah, Salsabila F
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.799

Abstract

The detection of X-rating content on the Internet is still rarely done in Indonesia and the performance of the existing work to detect X-rating content, especially in video is still low. The largest video portal, YouTube, does not yet have automatic X-rating content detection through its content either. Some X-rating content prevention service providers in Indonesia, such as the Internet Positive and Nawala Project, detect X-rating content using the keyword detection method of a web page and then block the web page with DNS filtering. However, that method does not pay attention to using  Bahasa-Slang. This work developed Metasearch named Safedio. Safedio aims to detect X-rating content on YouTube content through video titles that contain Bahasa-Slang. Safedio utilizes Query Expansion and Rule-Based approaches. The Query Expansion is a technique to get additional rules in search. In the end, Safedio can detect X-rating content through video titles in both Bahasa and Bahasa-Slang. The average results return with precision 71%, recall 46% and accuracy 72%.
Co-Authors Afrizal Doewes, Afrizal Ardhi Wijayanto Esti Suryani Febrianto, Lutfi Aristian Haryono Setiadi Hasan Dwi Cahyono Hendrasuryawan, Brilyan Larasati, Indah Paksi Rini Anggrainingsih Setiadi, Haryono Shabihah, Salsabila F Wardani, Hasan Dwi Cahyono Wijayanto, Ardhi