Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Knowledge Engineering and Data Science Bulletin of Social Informatics Theory and Application
Collantes, Leonel Hernandez
Unknown Affiliation
Computer Science & IT Engineering Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
The Psychological Effects of Using Instagram: Its Effects on Anxiety, Self-Confidence, and Body Image Collantes, Leonel Hernandez; Aulia Saputro, Nina; Akmaluddin, Rizky; Liliana, Shinta Ayu; Umam, Yogi Khairul; Harviansyah, Yushivan Rendi
Bulletin of Social Informatics Theory and Application Vol. 6 No. 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i1.414

Abstract

Instagram has become a major social media platform that plays a big role in this modern society. People spend their time mindlessly scrolling through their Instagram feeds and it’s starting to affects their mental health, mostly on adolescents because they are going through a phase of finding their self-identity. The purpose of this research is to explore how Instagram affects mental healthiness in adolescents. It is focusing on the effects of Instagram on self-confidence, anxiety, and body image. To fulfill the purpose of this study, two types of research have been used according to the object study, descriptive and documentary research. The research design is non-experimental longitudinal, using the Instagram user experience survey as a measurement instrument to collect data and analyze the information. This research was conducted on 99 people from age 18 to 25 as the subject. The data collection was done by distributing the questionnaire for 7 days. As a result, this study shows that Instagram affects some users' psychological health in their anxiety, self-confidence, and body dissatisfaction.
Cyberbullying Body-Shaming Levels in Adolescence Collantes, Leonel Hernandez; Saputra, Fajar Ananda; Solikhah, Putri Riadatus; Laksana, Trisna Chandra; Yakti, Novan Kuncoro; Tipagau, Jecksoniel
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.603

Abstract

Social media is a medium that teenagers very often use. Interaction media that users can use to easily interact, share, and social network without limits. The development of this social media can cause many impacts. This media will also have a harmful impact if used excessively. These problems arise in individuals who use the internet excessively, such as playing online games outside the limits of teaching to cause behavioral changes such as rudeness and aggression. Besides that, problems in the cyber world are commonly called cyberbullying. In addition, social media users easily express and publish their emotions and thoughts, including negative thoughts and emotions for others. The impact of this is the occurrence of bullying on social media. Cyberbullying, or cyberbullying, is a negotiation act that occurs and uses cyber media. Bullying often occurs through insults, threats, and humiliation on social media and text messages. The form of insult in cyberbullying is by bullying someone's physical appearance or better known as body shaming. Body shaming is a form of verbalemotional violence often not realized by the perpetrator because it is generally considered normal. Someone doing body shaming varies, from lighting the atmosphere, having fun, and inviting laughter to have reasons meant to insult
Indonesian Language Term Extraction using Multi-Task Neural Network Santoso, Joan; Setiawan, Esther Irawati; Ferdinandus, Fransiskus Xaverius; Gunawan, Gunawan; Collantes, Leonel Hernandez
Knowledge Engineering and Data Science
Publisher : citeus

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

Abstract

The rapidly expanding size of data makes it difficult to extricate information and store it as computerized knowledge. Relation extraction and term extraction play a crucial role in resolving this issue. Automatically finding a concealed relationship between terms that appear in the text can help people build computer-based knowledge more quickly. Term extraction is required as one of the components because identifying terms that play a significant role in the text is the essential step before determining their relationship. We propose an end-to-end system capable of extracting terms from text to address this Indonesian language issue. Our method combines two multilayer perceptron neural networks to perform Part-of-Speech (PoS) labeling and Noun Phrase Chunking. Our models were trained as a joint model to solve this problem. Our proposed method, with an f-score of 86.80%, can be considered a state-of-the-art algorithm for performing term extraction in the Indonesian Language using noun phrase chunking.
Co-Authors Akmaluddin, Rizky Aulia Saputro, Nina Esther Irawati Setiawan Ferdinandus, Fransiskus Xaverius Gunawan Gunawan Harviansyah, Yushivan Rendi Joan Santoso Laksana, Trisna Chandra Liliana, Shinta Ayu Saputra, Fajar Ananda Solikhah, Putri Riadatus Tipagau, Jecksoniel Umam, Yogi Khairul Yakti, Novan Kuncoro