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PEMBELAJARAN BERBASIS TEKNOLOGI KOMUNIKASI DAN INFORMASI DALAM RANGKA MEWUJUDKAN KEUNGGULAN PROSES BELAJAR Dr. Purwanto
Jurnal TEKNODIK Jurnal Teknodik Vol. 8 No. 15, Desember 2004
Publisher : Pusat Data dan Teknologi Informasi Kementerian Pendidikan Kebudayaan, Riset dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.209 KB) | DOI: 10.32550/teknodik.v4i15.381

Abstract

Tulisan ini menyajikan gagasan tentang pendidikan dan pembelajaran berbasisi ICT. Pembelajaran berbasis ICT di era informasi merupakan keharusan sebagai akibat dari perubahan di bidang teknologi. Di era informasi sekarang pendidikan harus mampu memanfaatkan teknologi canggih sebagai sarana belajar dan mendidik SDM yang terampil berkomunikasi. Pendidikan berbasisi ICT ditandai dengan di manfaatkannya banyak teknologi informasi damn kominikasi dalam proses pembelajaran. Meskipun demikian penyelenggaraan berbasisi ICT tersebut memerlukan persyaratan terkait dengan ketersediaan infrastruktur, kemampuan pengembangan content, dukungan policy dan kemampuan masyarakat. Adapun teknologi baru dan tersedianya infrastruktur di yakini akan menjadi awalan untuk perubahan yang cepat di bidang pendidikan. Agar pemanfaatan ICT dapat benar-benar mewujudkan pembelajaran yang ungguldiperlukan upaya difusi secara terus menerus, karena pendidikan berlangsung sepanjang hayat dan tanpa akhir.
ANALISIS FAKTOR: KONSEP, PROSEDUR UJI DAN INTERPRETASI Dr. Purwanto
Jurnal TEKNODIK Jurnal Teknodik Vol. 8 No. 15, Desember 2004
Publisher : Pusat Data dan Teknologi Informasi Kementerian Pendidikan Kebudayaan, Riset dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (490.654 KB) | DOI: 10.32550/teknodik.v4i15.388

Abstract

Factor analysis is a test of construct validity. The test is taken by testing so much items or variables and extracting to be lesser and simpler factors. The extraction is carried by unifying some items or variables having significant common variance as they measure the same dimension. In its application, factor analysis can be exploratory or confirmatory. Exploratory factor analysis is used to understand some factors explaining a variabel that analysis does not work under a hyphotesis. On the other hand, confirmatory factor analysis hyphotezise some factors from some items or variables to guide its work. The analysis runs some steps : testing of analysis property, serving correlation matrix, doing extraction, making rotation, and labeling factors. The results of testing are interpreted in some ways. Data can be analyzed if assumptions are approved. Index of Kaiser Meyer Olkin must be over 0,80. Data must also be normal in Bartlet’s test of sphericity. Items or variables make the same dimension or factor if they have intercolinnearity over 0,20. A factor can be developed if it has eigenvalues more than 1,00. An item support a factor if it has factor loadings more than 0,30. Then, the developed factors are labelled or named according to the characteristic of supporting items.