Industrial growth has a positive impact because it brings prosperity to humans. But on the other hand, it also has a negative effect, mainly due to industrial pollution produced. The pollution impacts environmental damage, one of which is the marine environment. This damage can be reduced by increasing understanding of the marine environment by monitoring it using technology. Although efforts have been made to monitor the marine environment, there are difficulties interpreting the large amount of data collected. To overcome these obstacles, we need technology that can process big data. One of the technologies that can be used is Artificial Intelligence which will be discussed in this study. This study aims to provide further understanding regarding the application of Artificial Intelligence to monitor the marine environment. This study uses a literature review method from several studies related to Artificial Intelligence. The final result of this study explains the potential and impact of applying Artificial Intelligence in reducing pollution of the marine environment sustainably. Although there have been many efforts to monitor the ocean for pollutants remotely, classifying the data is challenging because of the high volume of data. Therefore, the novelty of this research is to discuss a use case of a new approach to monitoring the ocean with the help of Artificial Intelligence. This research is expected to be motivated to develop better solutions in overcoming marine environment pollution using Artificial Intelligence technology.
Natural language processing is one of the essential activities of artificial intelligence. There is an excellent need for chatbots that require integration into artificial intelligence applications. The local language makes the process easier. Our research aims to analyze the possibilities and challenges of implementing a chatbot in the Kumaon language. We also provide a detailed survey of the Kumaon language and map it to other languages to make it easier to process it for industrial use. This chatbot can help with various needs and services in the Kumaon language. The method used in this research is a study analysis of the Kumaon language to deal with language extinction. The novelty in this research is a chatbot in the Kumaon language with end-to-end encryption so that the service user has good security.
Data merupakan hal yang sangat penting pada era teknologi informasi saat ini. Dengan berkembangnya teknologi informasi, sebuah data dapat diolah dan disebarkan dengan cepat sehingga masyarakat dapat mengaksesnya dengan mudah. Pada penelitian ini untuk membuat sebuah layanan API (Antarmuka Pemrograman Aplikasi) statis yang menyediakan data Covid19 di Indonesia dan menggunakan data tersebut dibuat pada aplikasi android yang menyediakan informasi tentang Covid-19 di Indonesia. Metode yang digunakan pada penelitian ini adalah pengumpulan data, analisis kebutuhan sistem dan perancangan aplikasi. Hasil akhir dari penelitian ini adalah layanan API statis yang dapat menyediakan data Covid-19 di Indonesia, data tersebut dapat digunakan untuk membuat aplikasi multiplatform (lebih dari satu platform). Pada penelitian ini digunakan data tersebut untuk membuat aplikasi Statistik Covid-19 berbasis android. Dengan dibuatnya aplikasi statistik ini dapat memberikan kemudahan bagi pengguna untuk mengetahui informasi tentang Covid-19 dimanapun dan kapanpun dengan cepat.
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