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Statistics Topics Training For High School Teachers in Padang Admi Salma; Dodi Vionanda; Dony Permana; Fadhillah Fitri; Dina Fitria; Zilrahmi Zilrahmi
Pelita Eksakta Vol 5 No 1 (2022): Pelita Eksakta Vol. 5 No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol5-iss1/181

Abstract

One of a part mathematics subjects for high school students is statistics. Some statistics topics were usually studied by university students, but now they are studied by high school students. Teachers have difficulty teaching the topic to students for several reasons. The training is needed in order to improve the ability and knowledge of teachers about the statistics topics . The training was given to high school mathematics teachers in Padang under group named MGMP. There are 25 participans of the training. The results of activity evaluation showed an increase in the knowledge of statistics topics. In conclusion, this activity has been effectively carried out and can help the mathematics teachers to deeply understanding statistical topics
PERBANDINGAN KINERJA METODE AVERAGE LINKAGE DAN WARD DALAM PENGELOMPOKAN TINGKAT KESEJAHTERAAN MASYARAKAT PROVINSI SUMATERA BARAT MENURUT KABUPATEN/KOTA TAHUN 2021 Riska Ramadani; Admi Salma
Journal of Mathematics UNP Vol 7, No 3 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1433.101 KB) | DOI: 10.24036/unpjomath.v7i3.12565

Abstract

Welfare in West Sumatra Province is still an important problem that is being faced the whole community in 2021. The government is still trying to improve performance the welfare of the community from all aspects. It is necessary to grouping the level of community welfare in the Province of West Sumatra by Regency/City using the average linkage and Ward methods. The results of the cluster analysis obtained by both methods show that the clusters formed are same but objects in the clusters are different. Consists of 3 clusters, namely cluster 1 with a low level of welfare, cluster 2 with a medium level of welfare and cluster 3 with a high level of welfare. Of the two methods, the average linkage method is better in grouping than Ward method the levels of welfare based on validity because it has a large Dunn Index value is 0,88 and a small Connectivity value is 5,85
Penerapan Metode Self Organizing Maps (SOM) dalam Pengklasteran Berdasarkan Indikator Pemerlu Pelayanan Kesejahteraan Sosial (PPKS) Provinsi Jawa Barat Maulidya Hernanda; Admi Salma; Dodi Vionanda; Zamahsary Martha
UNP Journal of Statistics and Data Science Vol. 1 No. 4 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol1-iss4/82

Abstract

The province of West Java in Indonesia has witnessed a rise in its impoverished population. Being the most populous province in Indonesia, West Java faces complex social welfare issues due to its large population. This study aims to conduct cluster analysis to identify district/city clusters in West Java province and determine the characteristics of these groups based on the indicators of the Need for Social Welfare Services (PPKS). The self-organizing maps (SOM) method will be utilized for this analysis. SOM is an unsupervised learning method, in which the training process does not require supervision (target output) which produces input representations in two dimensions (maps). In this study, the results obtained were 3 clusters where cluster 1 which consisted of 24 districts/cities had a relatively high average score for each member in the cluster, then cluster 2 which consisted of Cianjur and Karawang districts showed high social welfare problems compared to other clusters, and for cluster 3 which consists of Bandung regency, it shows that the most prominent social welfare problem is the indicator of socio-economic vulnerability of women, with an average of 34,549 cases/year. Based on the results obtained, it is necessary to make the right decisions regarding allocations, resources, more effective service planning, and the development of more targeted social welfare programs.