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All Journal Jurnal Gaussian Academica : Journal of Multidisciplinary Studies
Rahmawati, Tias
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MODEL PENDAMPINGAN BELAJAR ORANG TUA UNTUK ANAK BERKEBUTUHAN KHUSUS SELAMA MASA PANDEMI Rahmawati, Tias; Fartiwi, Fartiwi; Fatimah, Umi Nur
Academica : Journal of Multidisciplinary Studies Vol 4, No 2 (2020)
Publisher : IAIN Surakarta

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Abstract

Education is a basic right for every citizen, including children with special needs who need guidance from people who are experts in their fields. During the pandemic, children were required to study at home with guidance from their parents. The purpose of this study was to find out the model of parental learning guidance for children with special needs during the pandemic. This research uses a case study method and data collection using interviews with thematic analysis. From the results of the study, there are three models of parent learning guidance for children with special needs during the pandemic, namely learning guidance using permissive, authoritarian, and authoritative parenting approaches.Keywords: children whit special needs; guiding study; pandemic
ANALISIS PERBANDINGAN SILHOUETTE COEFFICIENT DAN METODE ELBOW PADA PENGELOMPOKKAN PROVINSI DI INDONESIA BERDASARKAN INDIKATOR IPM DENGAN K-MEDOIDS Rahmawati, Tias; Wilandari, Yuciana; Kartikasari, Puspita
Jurnal Gaussian Vol 13, No 1 (2024): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.13.1.13-24

Abstract

Development is a process of change that is carried out consistently with the aim of improvement in all aspects of life with the prevailing values in society to achieve predetermined life goals. The quality of life of the community is measured by the Human Development Index (HDI) at the provincial level through three indicators, including: economic level, health, and education. K-medoids is a method used to group objects that contain outliers. In determining the optimal number of clusters using the Silhouette Coefficient method which has the advantage of determining the best number of clusters that can measure how close the relationship between objects and measure how far a cluster is separated from other clusters. The technique called the Elbow method is employed to ascertain the optimal quantity of clusters, which is done by examining the percentage outcomes derived from comparing the quantity of clusters that form an elbow at a certain point. Then cluster evaluation is carried out using the Davies Bouldin Index (DBI) as a comparison for cluster validation. The results of this study using the Silhouette Coefficient method produced the best cluster, namely 3 clusters with a Silhoutte Coefficient value of 0,3129 and a DBI value of 1,3184. Meanwhile, using the Elbow method produced the best cluster, namely 4 clusters with an SSE value of 54,5548 with a DBI value of 1,1754. So that the best cluster is 4 clusters with the Elbow method with the smallest DBI value.
Co-Authors Fartiwi, Fartiwi Fatimah, Umi Nur Puspita Kartikasari Yuciana Wilandari