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All Journal Jurnal PkM MIFTEK Jurnal Algoritma
Hidayatno, Fachrul Ramdaniar
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Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Masa Pandemi Covid-19 Pengabdian Kepada Komunitas Maya Latifah, Ayu; Priyadi, Rahmat; Hidayatno, Fachrul Ramdaniar; Ramdani, Feri; Irawan, Bambang; Pratama, Novan Noviansyah; Apriliana, Rafli; Rohman, Ripan Reftiana; Endang, Dwi Isyandi; Hilmi, Muhammad Ikhsan
Jurnal PkM MIFTEK Vol 3 No 1 (2022): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.3-1.1267

Abstract

The situation of growing Covid-19 cases is very fast in Indonesia. Prevention efforts carried out by the Real Work Lecture team from the Garut College of Technology are one of the solutions in prevention efforts because until now there is no cure for this disease. Prevention that can be done is in the form of socialization by applying cough etiquette and through special protection by using and distributing masks, hand hygiene and social distancing. KKN is a course that is held in semester 4, of course each campus is different. KKN is usually carried out offline by visiting places, especially sub-districts or villages that can be targeted for KKN as areas worthy of assistance, especially in terms of community service. But it's different from this year, with the Covid 19 pandemic, all activities are carried out online due to government policy to limit any activities that cause large crowds. Therefore, this time the Community Service Program is being held online to help the government break the chain of the spread of Covid-19 and at the same time make this course possible even with conditions like this.
Pengukuran Keterlibatan Pelajar Menggunakan Learning Analytic dan Metode Kanban Tresnawati, Dewi; Septiana, Yosep; Hidayatno, Fachrul Ramdaniar
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2369

Abstract

Currently, Learning Management Systems (LMS) are widely used in schools. However, the features of LMS that are commonly used today are not yet capable of increasing student engagement in learning, especially in online learning. Learning analytics helps teachers identify learning targets, understand results, behaviors, and learning processes so that teachers can determine the right learning strategies. The purpose of this study is to apply learning analytics, measure student engagement in online learning using a Learning Management System built with the Kanban method and NodeJS framework as the backend. The Learning Management System has proven to be capable of generating data and information related to learning activities such as attendance, assessments, assignments, and quizzes, as well as supporting teaching staff in providing clear feedback in accordance with the activities carried out by students. The results of this study indicate that the Learning Management System using the Kanban method has met the expectations of teachers and students in the learning process.
Co-Authors Apriliana, Rafli Dewi Tresnawati Endang, Dwi Isyandi Hilmi, Muhammad Ikhsan Latifah, Ayu Pratama, Novan Noviansyah Priyadi, Rahmat Ramdani, Feri Rohman, Ripan Reftiana RR. Ella Evrita Hestiandari Yosep Septiana