Currently, one of the most dangerous diseases is Coronavirus disease 2019 (COVID-19). COVID-19 is a threat to the whole world, and almost all countries are experiencing the COVID-19 pandemic, including Indonesia. Various ways to detect COVID-19 sufferers have been carried out, such as swab tests, rapid tests, and antigens. One way that can be done to detect COVID-19 infection is to look at X-ray images of the patient's lungs because someone infected with COVID-19 has a different lung shape from normal people. Many studies have been carried out to detect COVID-19, using either machine learning (ML) or deep learning (DL). In this study, we propose to use transfer learning as an extraction feature in the classification of the covid dataset. The study was conducted four times using four different methods, namely ResNet 50, MobileNet V2, Inception V3, and DensNet-201. After experimenting, we compared the results to find out which method has the best results in detecting COVID-19. From this research, it was found that the ResNet 50 model has the best results with 92.3% accuracy, 93% precision, 93% F1-Score, 99% sensitivity, and 90.7% specificity.

Administrasi merupakan suatu kegiatan pengelolaan, pengumpulan dan pelaporan data yang berupa pembukuan, ketik mengetik, pemaparan agenda dan surat-menyurat. Proses pembuatan surat menyurat yang masih manual merupakan salah satu permasalahan yang ada dalam instansi pemerintahan desa. Pembuatan surat dengan menggunakan aplikasi Microsoft Office memiliki beberapa kelemahan seperti tenaga perangkat desa yang tidak semua mempunyai kemampuan dalam pembuatan surat menyurat. Hal itu akan berakibat format surat berubah-ubah sesuai dengan kemampuan tenaga perangkat desa yang membuat, serta berdampak pada ketidakakuratan pencatatan data surat yang ada.  Selain itu dibandingkan dengan tenaga administrasi yang lain, pada umumnya kemampuan IT tenaga perangkat desa masih dibawah rata-rata. Tujuan penelitian ini adalah untuk mengambangkan sistem administrasi desa di Desa Mendiro. Adapun metode yang digunakan adalah SDLC (System Development Life Cycle) dengan pendekatan waterfall. Tahapan dari metode tersebut meliputi perencanaan sistem, analisis sistem, perancangan sistem, implementasi sistem, dan pemeliharaan sistem. Pembangunan sistem administrasi desa ini menggunakan beberapa bahasa dan plugin, serta menggunakan framework codeigniter. Hasil yang diharapkan dari penelitian ini berupa sistem administrasi desa berbasis web yang dapat mengatasi masalah di instansi pemerintahan desa yang masih manual, terutama dalam pembuatan surat menyurat, perekapan, dan pembuatan laporan surat, serta dapat mempercepat pencarian data yang ada.

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Learning Indonesian culture is a part of the curriculum for elementary school students. However, it faces a challenge of the decreased interest of reading textbooks. It can be solved by using a 3D animation that is loved by the children. Therefore, this study aimed to design a prototype of augmented reality (AR) EduGame (Educational Game) as a learning media of Indonesian culture for the children. This study used research and development method for an AR application, and then its system was tested on black box testing. The AR EduGame prototype and its testing results are run appropriately, system testing show that every button and transition for both AR EduGame applications, traditional dance and gamelan. Morover, it can be implemented by elementary school children.

Abstrack -One of the impacts of covid-19 on education is that the learning process must be conducted online. Various forms of Learning Management System (LMS) are used by universities to facilitate the learning process. This study aims to evaluate usability in LMS OpenLearning. The research begins by determining the research object, the data used, and using the System Usability Scale evaluation method in the form of determining scenarios, selecting respondents, collecting data and performing calculations. The test results show the assessment score is at 61.03. The application has a sufficient usability value, with a description of marginal acceptability, grade scale D and adjective rating is ok. Based on the final score of the System Usability Scale (SUS) it can be concluded that LMS OpenLearning can be used by students and function properly.