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Rini, Dyah Setyo
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Perbandingan Power of Test dari Uji Normalitas Metode Bayesian, Uji Shapiro-Wilk, Uji Cramer-von Mises, dan Uji Anderson-Darling Rini, Dyah Setyo; Faisal, Fachri
GRADIEN : Jurnal Ilmiah MIPA Vol 11, No 2 (2015): (Juli 2015)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (103.42 KB)

Abstract

Pelanggaran terhadap asumsi kenormalan dalam suatu prosedur statistika akan memberikan kesimpulan hasil yang diperoleh menjadi tidak valid. Tulisan ini akan membahas tentang perbandingan uji normalitas metode Bayesian, Uji Shapiro-Wilk, Uji Cramer-von Mises, dan Uji Anderson-Darling berdasarkan nilai power of test dari masing-masing uji. Power of test dari masing-masing uji diperoleh dari power empiris melalui simulasi data. Data simulasi dibangkitkan dari distribusi t-student, gamma, chi-square, dan beta. Ukuran sampel data yang digunakan dalam simulasi adalah 10, 20, 30, 40, dan 50. Berdasarkan simulasi data, uji normalitas metode Bayesian MTn  lebih powerful apabila dibandingkan dengan uji Shapiro-Wilk (W), uji Cramer-von Mises (Wn2), dan uji Anderson-Darling (An2) untuk data yang berdistribusi t-student dengan derajat bebas 5 dan 10, Gamma (5), chi-square derajat bebas 20. Hal tersebut juga berlaku untuk sampel berukuran kecil. Performa dari uji normalitas metode Bayesian lebih lemah dari pada uji Shapiro-Wilk dalam menguji normalitas yang berasal dari sampel berdistribusi Beta, B(a,b), dengan a=0,8 dan 1,5 ; b=0,8 dan 0,9. Kata Kunci: power empiris, simulasi data, uji normalitas
PELATIHAN MENGELOLA DAFTAR PUSTAKA MENGGUNAKAN APLIKASI MENDELEY PADA MUSYAWARAH GURU MATA PELAJARAN (MGMP) BAHASA INDONESIA SMA/SMK KOTA BENGKULU Yanti, Nafri; Setiawan, Yudi; Rini, Dyah Setyo
Jurnal Berdaya Mandiri Vol 2, No 1 (2020): Jurnal Berdaya Mandiri (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (965.538 KB) | DOI: 10.31316/jbm.v2i1.432

Abstract

The Mendeley application training at the MGMP Bahasa Indonesia SMA/SMK in Bengkulu City aims to improve the knowledge and skills of the teacher using the Mendeley application, as well as facilitate management and library writing. This activity is carried out using several methods, namely observation/monitoring, interviews, and questionnaires. The results of this training activity can be used as one of the learning media for the preparation of bibliography, so this activity is not only useful for teachers, but also students taught by teachers in their respective work units. In addition, this activity can increase the ability of teachers to write scientific articles, especially in compiling and managing bibliography. Based on the data, this training adds to the insights of teachers in managing libraries and is able to apply this application in teaching and learning in their respective schools.
PELATIHAN LITERASI STATISTIK BERBASIS HOTS DI SMA NEGERI 8 KOTA BENGKULU Rini, Dyah Setyo; Novianti, Pepi; Sriliana, Idhia
Jurnal Berdaya Mandiri Vol 2, No 2 (2020): Jurnal Berdaya Mandiri (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.235 KB) | DOI: 10.31316/jbm.v2i2.431

Abstract

The era of the industrial revolution 4.0 or the era of disruption requires new literacy which includes data literacy, technological literacy and human literacy. HOTS-based statistical literacy training at SMA Negeri 8 Bengkulu City aims to foster and guide Class XII students in understanding and analyzing HOTS-based statistical literacy. The method used to achieve these objectives is coaching and training. The results obtained based on this activity are the coaching and training conducted that gives positive results and significantly influences students' knowledge and abilities regarding Statistics Literacy. In addition, students get an overview of statistical data understanding that is very important and continues to grow in the revolutionary 4.0 era.
Co-Authors Fachri Faisal Idhia Sriliana Nafri Yanti Pepi Novianti Yudi Setiawan