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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Jurnal Ekonomi dan Pendidikan Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Jurnal Penelitian Saintek JURNAL ECONOMIA JPTK: Jurnal Pendidikan Teknologi dan Kejuruan AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan Jurnal Penelitian Pendidikan IPA (JPPIPA)
Suprapto Suprapto
Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Contributing factors in learning programmable logic controller using path analysis Masduki Zakarijah; Pramudi Utomo; Umi Rochayati; Mashoedah Mashoedah; Suprapto Suprapto; Arya sony
Jurnal Pendidikan Teknologi dan Kejuruan Vol 29, No 1 (2023): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v29i1.61211

Abstract

 Learning Programmable Logic Controller (PLC) programming is influenced by several factors, that is: lecturer competence in PLC programming, adequacy of information technology infrastructure in learning, availability of learning media, vocational guidance procedures, and learning motivation. The purpose of this study: (a) to describe the factors that contribute to PLC programming learning, (b) to formulate a PLC programming competency model, and (c) to examine the determinants of PLC programming learning. Model testing method using Path Analysis.  The results of this analysis are expected to be able to describe the relational patterns between variables in learning PLC programming, as well as the direct and indirect impacts on the mastery of PLC programming competencies.  Keywords: PLC programming competency, path analysis, vocational education.
The Node Selection Method for Split Attribute in C4.5 Algorithm Using the Coefficient of Determination Values for Multivariate Data Set Muhsi Muhsi; Suprapto Suprapto; Rofiuddin Rofiuddin
Jurnal Penelitian Pendidikan IPA Vol 9 No 7 (2023): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i7.4031

Abstract

The split attribute in the decision tree algorithm, especially C4.5, has an important influence in producing a decision tree performance that has high predictive performance. This study aims to perform an attribute split in the C4.5 algorithm using the value of the termination coefficient (R2/R Square) which is combined with the aim of increasing the performance of the model performance produced by the C4.5 algorithm itself. The data used in this research are public datasets and private datasets. This study combines the C4.5 algorithm developed by Quinlan. The results in this study indicate that the use of the R2 value in the C4.5 algorithm has good performance in terms of accuracy and recall because three of the four datasets used have a higher value than the C4.5 algorithm without R2. Whereas in the aspect of precision, it has quite good performance because only two datasets have a higher value than the performance results of the algorithm without R2.
Co-Authors Anggun Winursito Aris Nasuha Arya Sony Eko Marpanaji Fatchul Arifin Herman Dwi Surjono Kadarisman Tejo Yuwono Kadarisman Tejo Yuwono Masduki Zakarijah, Masduki Mashoedah Mashoedah Muhammad Imron Romadhon Muhsi Muslikhin Pramudi Utomo Rofiuddin Suyitno Hadi Putro Umi Rochayati Vigoureux Chinyabuuma