Achmad Ramadhan
Program Studi Pendidikan Biologi, Universitas Tadulako, Indonesia

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The Development of an Ebook Integrated with Learning Management System to Improve Student's Metacognition Ability Sutrisnawati Mardin; Achmad Ramadhan; Masrianih Ismail
Journal of Educational Science and Technology (EST) Volume 8 Number 1 April 2022
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/est.v8i1.30947

Abstract

This study aims to develop an ebook that is integrated with a Learning Management System (LMS) to improve students' metacognition skills. The research uses the ADDIE development model (Assumption, Design, Development, Implementation, Evaluation). The research data were obtained from 40 students who filled out the questionnaire and took the pretest and posttest. The effectiveness of the ebook on improving metacognitive skills used N-Gain analysis and to determine the difference between the experimental and control classes, a T-test was performed, using One Group Pretest and Post-test Design. The results showed that ebook development was very good. The development of ebooks integrated with LMS can significantly improve students' metacognitive abilities. Thus, this study recommends that lecturers use ebooks that are integrated into the learning management system so that learning can run effectively to improve students' metacognitive abilities.  
The Relationship of Plant Types Familia Araceae on The Mountain Sidole Track Central Sulawesi Based on Morphological Character Samsurizal M. Suleman; I Made Budiarsa; Achmad Ramadhan; Moh. Iqbal; I Komang Suletra
Jurnal Biologi Tropis Vol. 22 No. 4 (2022): October - December
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v22i4.4138

Abstract

The Araceae family plant in the Mount Sidole has a diversity and variety of life forms. The purpose of this study is to describe the family relationship of Araceae family based on morphological characters. Sampling using the path method (belt transect) with free collection techniques. The size of the track used is 10 m wide and ± 15 km long along the Sidole Mountain climbing track at an altitude of 400-1780 m above sea level. Morphological data measurement refers to 37 meristic and qualitative characters. Processing data using the File Editor Program (PFE) and analyzed with the Multivariate Statistical Package (MVSP) program. Determination of similarity index with the Simple Matching Coefficient method and kinship between types using the Unweighted Pair-Group Method Using Arithmetic Average (UPGMA). The results of specimen collection are 26 species. Based on the dendrogram of Familia Araceae divided into three groups. Group I are 9 species of hemiepipitic groups which cluster at a coefficient of 76%, namely Amydrium medium, Pothos scandens, Epipendrum sp., Scindapsus treubii, S. pictus, Rhaphidophora sp., R. sylvestris, R. lobbii and R. puberula. Group II are 8 species of geophytes grouping at 77% coefficient, namely Colocasia oresbia, C. esculenta, Xanthosoma violaceumm, X. sagittifolium, Apoballis mutata, Alocasia sp., A. longiloba and A. Macrorrhizos. Group III are 9 species of geophytes grouping at 82% coefficient, namely Spathiphyllum commutatum, Schismatoglottis inculta, S. lancifolia, S. wallichii, S. asperata, S. cadieri, S. calyptrata and S. calyptrata ssp flagelliforme and Aglaonema nitidum.