Sukowati, Diah
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analyzing Poverty in Central Java Through K-Medoids Clustering Method Khoirunnisa', Asma'; Wibowo, Firdaus Amruzain Satiranandi; Sukowati, Diah
Jurnal Sarjana Teknik Informatika Vol. 13 No. 2``` (2025): Juni
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v13i2```.30313

Abstract

Poverty remains a major issue in Indonesia, particularly in Central Java which has the second highest poverty rate on the island of Java, following the Special Region of Yogyakarta. This study aims to categorize districts and cities in Central Java based on poverty characteristics to support more effective poverty alleviation programs. Using the K-Medoids clustering method, poverty indicators in Central Java Province were analyzed for the year 2021. The K-Medoids method aims to identify poverty groupings and visualize the distribution of poverty in Central Java province for the year 2021. The results identified two clusters. Cluster 1 includes 31 districts and cities with higher poverty rates, lower education levels, and lower residential rental costs. Although the poverty rate is high, people in this cluster show a strong work ethic with relatively low unemployment among those aged over 15 years. In contrast, Cluster 2 shows lower poverty rates, higher education levels, and higher housing costs, but relatively higher unemployment rates. Overall, Cluster 1 represents areas requiring special attention from the government to improve community welfare.
Multilevel modeling of the impact of bullying on Indonesian students' mathematics achievement based on PISA 2022 Data Sukowati, Diah; Kismiantini, Kismiantini
Indonesian Journal of Science and Mathematics Education Vol. 8 No. 3 (2025): Indonesian Journal of Science and Mathematics Education
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijsme.v8i3.26670

Abstract

Bullying in schools negatively affects students' psychological well-being and academic performance. Despite anti-bullying policies, bullying remains prevalent in Indonesia, impacting students' mathematics achievement. This study examines the impact of different types of bullying on Indonesian students' mathematics achievement using Program for International Student Assessment (PISA) 2022 data through a multilevel modeling approach. Multilevel modeling is used to analyze the hierarchical effects of physical, verbal, and relational bullying on students' mathematics scores, considering socioeconomic and school-level factors. Physical bullying significantly lowers mathematics achievement by reducing concentration and motivation. Verbal bullying, however, is linked to higher scores as students strive to prove themselves. Relational bullying has no significant effect. Socioeconomic status and family support positively influence achievement, while school location also plays a role. Schools must strengthen anti-physical bullying programs to mitigate its negative academic impact. This research has implications for understanding the nuanced effects of bullying, which can help policymakers design targeted interventions to foster safer and more supportive learning environments, ultimately improving students' academic outcomes.