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Journal : JSI: Jurnal Sistem Informasi (E-Journal)

Persepsi Mahasiswa Terhadap Formatif Evaluation Model (FEM) Sebagai Model Evaluasi Pembelajaran Berbasis Learning Management System (LMS) Sri Winarno; Asih Rohmani; Denny Senata; Pulung Nurtantio Andono
Jurnal Sistem Informasi Vol 14, No 1 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.021 KB) | DOI: 10.36706/jsi.v14i1.17132

Abstract

AbstrakKondisi pandemi Covid19 ini memaksa para pemangku kebijakan khususnya dibidang pendidikan harus saling terkait dan berpadu untuk dapat memberikan solusi yang tepat agar supaya pendidikan tetap berjalan dengan baik. Pendidikan merupakan sektor yang terdampak cukup besar dimana Proses Belajar Mengajar (PBM) yang sebelumnya menggunakan model tatap muka langsung dihentikan. Perguruan tinggi dituntut lebih cepat dan tepat dalam memilih model pembelajaran dan melakukan evaluasi dalam pelaksanaannya sehingga PBM berjalan dengan baik. Namun demikian, capaian pembelajaran mata kuliah harus tetap diperhatikan dan dijaga supaya capaian pembelajaran lulusan tidak mengalami perubahan. Inovasi model pembelajaran yang melibatkan dosen dan mahasiswa harus dilakukan supaya pembelajaran lebih efektif, efisien dan sesuai dengan perkembangan situasi dan kondisi saat ini. Model evaluasi pembelajaran menjadi penting dalam mengukur capaian pembelajaran saat ini. Formatif Evaluation Model (FEM) dipilih sebagai model evaluasi pembelajaran alternatif untuk meningkatkan ketercapaian capaian pembelajaran. Oleh karena itu, dalam penelitian ini melakukan pengukuran sejauh mana persepsi mahasiswa terhadap FEM sebagai model evaluasi pembelajaran. Hasil pengukuran menunjukkan bahwa mayoritas mahasiswa menyatakan setuju dan sangat setuju jika FEM digunakan sebagai model evaluasi pembelajaran. Kata Kunci: FEM, PBM, Evaluasi Pembelajaran AbstractThe condition of the Covid-19 pandemic forces policy makers, especially in the field of education, to be interrelated and work together to be able to provide the right solution so that education continues to run well. Education is a sector that is heavily affected where the Teaching and Learning Process (PBM) which previously used the face-to-face model was immediately stopped. Universities are required to be faster and more precise in choosing learning models and evaluating their implementation so that PBM runs well. However, the learning outcomes of subjects must be considered and maintained so that the learning outcomes of graduates do not change. Learning model innovations that involve lecturers and students must be carried out so that learning is more effective, efficient and in accordance with the development of the current situation and conditions. The learning evaluation model is important in measuring the current learning achievement. Formative Evaluation Model (FEM) was chosen as an alternative learning evaluation model to improve learning outcomes. Therefore, in this study to measure the extent to which students' perceptions of FEM as a learning evaluation model. The measurement results show that the majority of students agree and strongly agree if FEM is used as a learning evaluation model. Keywords: FEM, PBM, Learning Evaluation
Developing & Designing Smart City Profiling Framework Sri Winarno; Indra Gamayanto; Asih Rohmani
Jurnal Sistem Informasi Vol 14, No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jsi.v14i2.18327

Abstract

A smart city is a change in the pattern of life, wherein seeing the concept of smart city, we must focus on one side or several sides but must see the bigger picture so that the definition of a smart city can create precisely. This article developed from previously article such as smart city articles 1.0-5.0 and then developed into three final concepts regarding the smart city. These three concepts consist of the smart city profiling framework, innovation profiling, and the seven stages of smart city profiling (the maturity level of smart city profiling). The focus of the problems to be developed can see in the smart city profiling framework which divides into six important parts: social profiling, BMM (Business model mapping) 101 framework, innovation profiling, social media profiling, culture profiling and education profiling. These six parts cannot be separated from each other and must build together. Therefore, this article will focus on completing the concept of smart city profiling, so that a strong foundation will create in implementing smart city. The method contained in the smart city 5.0 framework and the framework developed to be more advanced. The result of this article is a smart city profiling framework and a more detailed concept. Although the maturity level table shows, the discussion will complete in the next article and innovation profiling.