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Assesment Entrepreneurship Skills Literacy For Post Graduate Student's Khomsatun Ni'mah; Krisna Sujaya; Anita Eka Putri
Entrepreneur: Jurnal Bisnis Manajemen dan Kewirausahaan Vol. 3 No. 1 (2022): Januari
Publisher : Program Studi Manajemen Fakultas Ekonomika dan Bisnis Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/entrepreneur.v3i1.3793

Abstract

The success of the implementation of the Vision of the Master of Mathematics Education Study Program which is to produce graduates who are superior, nationally minded, and entrepreneurial can be identified using an instrument. One of the keywords in the Vision is graduates who have an entrepreneurial spirit. Developing an instrument to identify the Vision of the Study Program is an important thing to do. The research method used is development research (R&D) using the ADDIE model. The results of the field trial of research on 31 students showed that the average achievement of group skills was better than personal skills, but smaller than interpersonal skills. The results of expert validation stated that AESL was feasible to use with improvements. The results of the user response questionnaire stated that AESL was categorized as very good.
Profil kemampuan berpikir komputasi siswa SMP pada soal tantangan bebras Utami Puspita Sabilla Mustaqimah; Khomsatun Ni'mah
JPMI (Jurnal Pembelajaran Matematika Inovatif) Vol. 7 No. 2 (2024): Maret
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jpmi.v7i2.21590

Abstract

Penelitian ini bertujuan untuk mengeksplor kemampuan berpikir komputasi siswa SMP melalui pemberian soal Bebras Task. Metode yang digunakan adalah deskriptif kuantitatif dengan subjek penelitian yaitu 26 siswa SMP Al Huda Turalak kelas VIII. Data diambil menggunakan instrumen tes Bebras Task, dokumentasi, dan wawancara. Hasil penelitian menunjukkan bahwa kemampuan berpikir komputasi siswa secara umum baru mencapai 43%, dengan kemampuan pada setiap indikator yaitu decomposition sebesar 53%, pattern recognition sebesar 62%, abstraction sebesar 23%, dan algorithm sebesar 36%. Sehingga disarankan agar guru perlu melakukan upaya khusus untuk lebih mengoptimalkan kemampuan abstraction dan algorithm.