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Tweet Analysis of Mental Illness Using K-Means Clustering and Support Vector Machine Kusumaningtyas, Kartikadyota; Habibi, Muhammad; Dwijayanti, Irmma; Sumiyarini, Retno
Telematika Vol 20 No 3 (2023): Edisi Oktober 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i3.9820

Abstract

Purpose: Social media, particularly Twitter, provides a venue for individuals to share their thoughts. The public's perception of mental illnesses is often debated on Twitter. So yet, no evaluation of community tweets connected to data on mental health conditions has been performed. The purpose of this study is to examine tweets linked to mental illnesses in Indonesia in order to identify the themes of conversation and the polarity trends of these tweets.Design/methodology/approach: To address this issue, the K-Means Clustering algorithm is utilized to aggregate tweet data that is used to find themes of conversation. The emotion polarity value of each cluster result was then determined using the Support Vector Machine (SVM) approach.Findings/results: This study generated five topic clusters based on tweets about mental illness. While sentiment analysis revealed that all clusters had more negative sentiment classes than positive. Cluster 4 and Cluster 5 had the highest number of negative sentiment values. These clusters emphasize the necessity of consulting with psychiatrists and psychologists if people have mental health disorders, as well as financing for mental health disorder treatment through BPJS Kesehatan services.Originality/value/state of the art: The analysis was done in two stages: data grouping to find themes of conversation using K-Means clustering and SVM to look for positive and negative polarity values associated to twitter data about mental illness.
THE ASSOCIATION OF PARENTAL VERBAL ABUSE AND ADOLESCENT PERSONALITY TYPES IN 2 GAMPING JUNIOR HIGH SCHOOL Rizqi Wahyu Hidayati; Retno Sumiyarini
NurseLine Journal Vol. 5 No. 1 (2020): May 2020
Publisher : Program Studi Ilmu Keperawatan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/nlj.v5i1.60147

Abstract

Physical and psychological changed were commonly happened in adolescents. Some of them felt over estimate, egocentric, peevish, and aggressive. It was influenced by society and family. Some researchers said that a child who lived with verbal abusing, they had psychological disorder such as anxiety, Post Trauma Distress Syndrome, depression, and personality disorder. The aim of this research was to know the association of parental verbal abuse and adolescent personality types in 2 Gamping Junior High School. The method was a quantitative research which used cross sectional design. The sample was 89 person who lived with parents and they were 12-14 years old. Sample was taken with simple random sampling. Researcher used students' number to take the sample. The questioners were verbal abuse questioner and Myers Briggs Type Indicator Personality. Next, the data was analyzed by SPSS 21 with coefficient contingency test. Based on the result, the p was 0.192 (sign p <0.05). It was shown that there was unrelated between parental verbal abuse and adolescent personality types in 2 Gamping Junior High School. Most of them (88.8%) were low parental verbal abuse. There were many factors which influenced the personality type, such as genetic, social, and perceptions. Further researchers said that Javanese norm could influence this situation. There were any norm which children must be allowed the parents. It made different perception of parental verbal abuse for adolescent. The result was not related between parental verbal abuse and adolescent personality types. There were many factors which influencing the personality type in individual, such as genetic, social, and perceptions.