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Penerapan Analisis Diskriminan dalam Pembedaan Kelas Umur Tegakan Pinus P Priyanto
Jurnal Manajemen Hutan Tropika Vol. 13 No. 3 (2007)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.136 KB)

Abstract

This  study  describes the use of discriminant anylisis for pine (Pinus spp.) stand class age distinction.  Aim of this  study were (1) to arrange stand age class based on variable of aerial photograph by non hierarchy cluster analysis, and (2) to find out aerial photograph variable contribute to stand age class distinction by discriminant analysis.  Data used in study was taken from a research conducted by Adi (1998).   Pinus stand was located in KPH Bandung Utara, West Java. The variable of aerial photograph that used in this analysis were tone, shape, texture, topography, pattern, crown, diameter and height. The result showed that validation analysis of discriminant function was significant. Therefore, this function was applicable for grouping new object to stand age class based on discriminant score.
THE INFLUENCE OF DIGITAL LITERACY, LEARNING INDEPENDENCE, AND MOTIVATION ON ACADEMIC ACHIEVEMENT IN THE SUBJECT OF BUILDING CONSTRUCTION COST AND SCHEDULING PLANS AMONG GRADE XI DPIB STUDENTS AT SMK NEGERI 3 YOGYAKARTA Anggie Fadhlia Ash Shaf; P Priyanto
International Journal of Cultural and Social Science Vol. 6 No. 2 (2025): International Journal of Cultural and Social Science
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/ijcss.v6i2.1063

Abstract

This study investigates the influence of digital literacy, learning independence, and learning motivation on student achievement in the subject of cost planning and scheduling among Grade XI students of the Building Modeling and Information Design (DPIB) program at SMK Negeri 3 Yogyakarta. Using a quantitative ex post facto design, the study involved 99 students selected from a population of 131 through proportional cluster random sampling. Data on the independent variables were collected using validated questionnaires, while achievement scores were obtained from teacher assessments. The results of multiple regression analysis show that digital literacy, learning independence, and learning motivation each have a significant positive effect on learning achievement, both individually and simultaneously. These findings emphasize the need for vocational education to enhance students’ digital skills, promote self-directed learning, and foster motivation. The study offers practical insights for educators and curriculum planners and suggests further research to explore additional psychological or contextual factors affecting learning outcomes.