Dealing with using smartphones was growing will increase the sales value of the mobile game industry, both from local and foreign developers. It can impact the increasing number of start-ups trying to get involved in the game industry, as well as a large number of job opportunities for those who want to be strengthened in the development of mobile games. This opportunity become the main sector in the domestic creative industry. In Indonesia, the development of mobile games was deemed necessary to analyze the most popular mobile game products that assist by criteria of game. It shows the market trend currently. The researcher hopes this result can provide for developers to choose the type of game to be strengthened based on certain categories. The mobile games involved in this research are Garena Free Fire, Mobile Legend: Bang Bang, PUBG Mobile, Higgs Domino Island, Ragnarok X: Next Generation, Rise of Kingdoms: Lost Crusade, Roblox, State of Survival: Survive The Zombie Apocalypse, Genshin Impact, Coin Monster, Minecraft, Clash Royale, Clash of Clans, Ragnarok M: Eternal Love, State of Survival: The Walking Dead Collaboration. The research was an Additive Ratio Assessment (ARAS) method with the results of 5 recommended mobile games. The test is carried out with a sensitivity test which shows the criterion of "not containing violence" which is the most sensitive criterion among other criteria.
Hearing impaired are someone who has problems in their hearing function. To communicate with hearing impaired, a special form of communication using sign language is required so that the purpose of the conversation can be conveyed properly. Providing proper and appropriate education for hearing impaired individuals is very important. Android technology is the best and useful solution for learning for the hearing impaired in today's technological developments. The purpose of this research is to create an Android-based application that suits the needs of the hearing impaired. the research method used is scrum to find and utilize existing libraries and according to the needs for application development. In this application users can learn various kinds of subjects through videos and document of subject matter that has been uploaded by the teacher, users can also download the subject matter they want so that users can study anytime and anywhere without having to be limited by time and limited internet access. Some of the other features contained in this application are the quiz feature, the make schedule feature, the event feature, the chat feature, the memory game feature and other features that can help maximize the online learning process for people with hearing disabilities
Current conditions show that almost all Indonesian households use gas as fuel for cooking, but the availability of Liquid Petroleum Gas (LPG) is not proportional to the number of user needs. This condition makes it difficult for the community to get it. Sometimes they have to search directly to each gas station to get information about the availability of gas. Mobile applications for gas finding that have been made, help the community especially in Padang city to find a gas station that still has a stock of gas. This application is equipped with the name of the Gas Station and location map feature. This application can be accessed using an Android smartphone.
Pada pandemi COVID – 19, masker adalah sebuah kebutuhan penting bagi masyarakat. Penggunaan masker sangat penting untuk mencegah penularan COVID – 19. Pada masa pandemi seperti saat ini, kampus Politeknik Negeri Padang mengizinkan mahasiswa untuk mengunjungi perpustakaan dengan syarat dan ketentuan mahasiswa harus mematuhi protokol kesehatan. Namun masih banyak mahasiswa yang tidak mematuhi protokol kesehatan terutama dalam menggunakan masker. Maka dari itu diperlukan alat yang dapat mendeteksi masker untuk menjaga/mencegah orang-orang yang tidak menggunakan masker agar menggunakan masker saat mengunjungi perpustakaan demi menghambat penyebaran dari COVID-19. Sistem pendeteksian wajah bermasker atau tidak menggunakan python versi 3 dengan library OpenCV, dan Tensorflow. Sistem ini menggunakan webcam, Raspberry Pi 3 Model B, dan Buzzer. Webcam digunakan untuk menangkap citra pengguna masker. Citra yang telah ditangkap akan diolah dan diklasifikasikan di Raspberry Pi 3 Model B. Buzzer akan berbunyi bila hasil pengklasifikasian adalah wajah tidak bermasker. Alat akan dilengkapi dengan menampilkan hasil monitoring data pengunjung perpustakaan berupa website dengan menggunakan AWS EC2 sebagai insfrastrukturnya.
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