Revi Handayani
Sekolah Tinggi Keguruan dan Ilmu Pendidikan Pesisir Selatan, Indonesia

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KESIAPAN SMKN 1 PANCUNG SOAL DALAM MENGHADAPI PEMBELAJARAN DI ERA NEW NORMAL Ramadhani Ramadhani; Efendi Efendi; Revi Handayani
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 7 No. 3 (2022): September
Publisher : STKIP Pesisir Selatan

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This study aims to determine the readiness of SMKN 1 Pancung Soal in dealing with learning in the new normal era, the obstacles faced by SMKN 1 Pancung Soal in dealing with learning in the new normal era and the solutions of SMKN 1 Pancung Soal in dealing with learning in the new normal era. This type of research by its nature is a qualitative research. Data obtained through observation, interviews and documentation. The subjects of this qualitative research were teachers and principals at SMKN 1 Pancung Soal. The results showed that elementary school readiness in facing learning in the new normal era with school readiness as learning readiness which includes health screening protocols, application of health protocols, applying several learning methods, communication and collaboration in the use of technology. The obstacles faced by schools in dealing with learning in the new normal era are changes in curriculum, students, teachers, parents, and completeness of facilities and infrastructure, innovation and implementation. The solution that can be done by schools in facing the constraints of school readiness in learning in the new normal era is to recognize the conditions that occur, focus on the condition of students and parents
MANAJEMEN PEMBELAJARAN BERBASIS INFORMASI DAN TEKNOLOGI (IT) DI SMK PROFESIONAL PADANG Risma Wiwita; Revi Handayani; Septiana Vratiwi; Antoni Rahman; Riska Mayeni
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 7 No. 3 (2022): September
Publisher : STKIP Pesisir Selatan

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The study reviews it-based learning management in SMK Profesional Padang. The purpose of this study is to find out how the image of it based learning management in SMK Profesional Padang. This research approach is qualitative. The source of data on this study is the principal for students, and the teacher. The data gathering technique used in this studyis observation, interview and documentation. The data analysis technique uses Mileas and Huberman models, that is, data collection, data condensing, data presentation and deduction drawing. Verification of data using triangulation technique. Research shows that the image of eit-based learning management in SMK Profesional Padang, comptrolling the 3 types of learning management are online, blended learning, and offline. Blended learning is prepared a long time ago before the completion and has taken place in several classes but is not optimal because only half of the teachers who have been performing their classes and live streaming, some of them listening in rooms and at home and blended with an lms or zoom and could be in the teacher’s class instructing students to open their smartphone. While offline learning is based on the learning technology that is supported by the existence of the tech tools used in offline learning
PENERAPAN MODUL PEMBELAJARAN VISUAL BASIC BERBASIS MODEL PROBLEM BASED LEARNING Risma Wiwita; Revi Handayani; Efendi Efendi; Septiana Vratiwi; Efrianto Efrianto
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 7 No. 1 (2022): Maret
Publisher : STKIP Pesisir Selatan

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The purpose of this research is to Visual Basic learning modules and Problem Based Learning-based engineering drawings. The research method used to develop this module is the Research and Development version of Borg and Gall simplified by Anik Ghufron, Anik Ghufron's simplified Borg and Gall development model has four steps: 1) Preliminary Research, 2) Development, 3) Field Testing,4) Product Deployment. This study uses one way of collecting data in the form of validation questionnaires. The results showed that the module developed was declared feasible with the validity value of Materials Specialist 3.16 and Media Expert 3.67. The data obtained shows that Visual Basic learning modules and resulting problem-based learning images can be executed.