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All Journal Cakrawala Pendidikan DINAMIKA DOTCOM AKSIOMA: Jurnal Program Studi Pendidikan Matematika INOVISH JOURNAL Indonesian Values and Character Education Journal Jurnal Pengabdian Masyarakat Asia
Widya Adhariyanty Rahayu
Institut Teknologi dan Bisnis Asia Malang
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Other

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Journal : DINAMIKA DOTCOM

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THE CAUSE FACTORS OF SPEAKING ANXIETY IN EFL CLASSROOM Rahayu, Widya Adhariyanty
DINAMIKA DOTCOM DINAMIKA DOTCOM VOL 7 NO 1 TAHUN 2016
Publisher : DINAMIKA DOTCOM

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Abstract

This research investigated about the factors and situation causes the students’ anxiety inspeaking English as a Foreign Language (EFL) classroom. The data collected by quantitative andqualitative method. The quantitative data were collected by questionnaire through FLCAS. TheFLCAS consist of 5 point Likert scale. The data analyzed through Statistical Package for SocialSciences (SPSS) 20.0. Qualitative method was chosen through face to face interview to get indepth data or information about students’ speaking anxiety. The quantitative data presented thehighest reason of the students speaking anxiety is the students’ nervous and feel un-confidence inspeaking English. The qualitative data showed several factors and situations that create triggerand anxiety of students speaking such pronouncing the words, speak in front of class, speakingwithout preparation, and confused to create sentences. Keywords: Speaking Anxiety, English as a Foreign Language
OPTIMASI JUMLAH MAHASISWA ASIA MELALUI PREDIKSI MASA STUDI MENGGUNAKAN METODE INDUKSI DECISION TREE Arifin, Jaenal; Subekti, Puji; Adhariyanty, Widya
DINAMIKA DOTCOM DINAMIKA DOTCOM VOL 7 NO 2 TAHUN 2016
Publisher : DINAMIKA DOTCOM

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The accuracy of the study period can be determinant the students to pursued undergraduate degree. The available data indicated that only 30% of students can graduate <5 years, the rest graduate > 5 years and became non-active students. To overcome of low graduation rate is needed the system to determine the relationship between the masters students with study period that taken by the students. The use of data mining techniques in this system is expected to provide insights that were previously hidden in the data warehouse to be valuable information. By utilizing data mining techniques particularly algorithm ID3, then the researchers made an application to find a pattern that can predict the future of a students study period based on the data from students and academic score. The student data, scores, and the study period integrated into the data training. The data training is processed into a decision tree based on the calculation of the gain and entropy. From that tree made a rule that can predict a students study period. From 140 data training and 20 data testing with 6 kinds of attributes input and 2 kinds of target attributes, can be obtained by the accuracy of the ID3 prediction result for 85%, while the error rate prediction results for 15%. Keywords : Optimasi, Jumlah Mahasiswa Asia, Prediks, Induksi Decision Tree
Co-Authors Adriani Kala'lembang Adriani Kala’lembang Adriani Kala’lembang Faldi Hendrawan Faldi Hendrawan Fitria, Vivi Aida Jaenal Arifin Kabelen, Nicholaus Wayong Lilis Widayanti Nindi Oktaviani Nira Rusanti Puji Subekti Ramadhani Pratama Putra Santoso, Risa Suastika Yulia Riska Suci Imani Putri Yudistira Arya Sapoetra