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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of English Education Studies
Rodiatun, Rodiatun
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Computer Science & IT

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An Analysıs of Learnıng Englısh Vocabulary for Hearıng Impaıred Student at Dharma Bhaktı Dharma Pertıwı Specıal School 2017/2018 Puri, Indah Retno; Rodiatun, Rodiatun; Susanto, Susanto
Journal of English Education Studies Vol 2 No 1 (2019)
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.779 KB) | DOI: 10.30653/005.201921.36

Abstract

This study aimed to discover the hearing impaired students’ techniques in learning English vocabulary. The hearing impaired students learned mostly differently with normal people in acquiring meaning of words. The data were acquired qualitatively. The instruments used was observation and interview at the tenth grade of hearing impaired students at Dharma Bhakti Dharma Pertiwi Special School. The result showed the various techniques used by the hearing impaired students. in conclusion, the techniques used by the students was totally different for each students depending on the rest of their hearing sense.
Assessment Clusterization Teacher Performance With K-Means Algorithm Clustering And Agglomerative Hierarchical Clustering (AHC) Rodiatun, Rodiatun; Lestari, Sri
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14200

Abstract

Abstract: Research This aims to do clustering evaluation teacher performance with the application of the K-means clustering algorithm and agglomerative hierarchical clustering (AHC). Background study This is based on needs to increase quality teaching through analysis and evaluation and better teacher performance. The methods applied involving assessment data collection performance from teachers in the environment education local, processed using a second algorithm The results of the research show that the silhouette score value for K-means reached 0.364, while AHC produced a value 0.343. With Thus, K-means is proven more effective in grouping assessment data and teacher performance compared to AHC. The conclusion of the study This confirms the importance of implementation of the K-means algorithm to get more insight into good evaluation teacher performance. Author Ready to do repairs or revisions to the manuscript. This is in accordance with comments and suggestions from the reviewer as a condition beginning. For processing more, carry on. Keywords: AHC, Clustering, K-Means, Silhouette Value
Co-Authors Puri, Indah Retno Sri Lestari Susanto, Susanto