IMPLEMENTASI SOCIETY 5.0 DALAM KEBIJAKAN DAN STRATEGI PENDIDIKAN PADA PANDEMI COVID-19

The COVID-19 pandemic poses problems in various sectors. The most vulnerable sector in this situation is the social sector, especially education. Problems such as the learning process make the continuity of education a concern. This is a challenge for the community in the era of society 5.0 in the hope of overcoming the problems that arise due to the Covid-19 pandemic. The use of big data, artificial intelligence, and the internet of things is an alternative effort to help deal with the impact of the pandemic in accordance with the conditions in this disruptive era. This study aims to determine the policies and strategies of society 5.0 in the learning process as an effort to handle the impact of the pandemic. This study uses a systematic review research method of literature published by scientific journals in the period January 2010 to December 2021. The data used comes from published journals related to the topics studied and from various electronic media. The results of the study can find out strategies in the learning process in the implementation of society 5.0 in policies in the field of education as an effort to deal with the impact of the covid-19 pandemic. ABSTRAKPandemi covid-19 memberikan permasalahan di berbagai sektor. Sektor yang paling rentan dalam situasi ini adalah sektor sosial terutama pada pendidikan. Permasalahan seperti proses pembelajaran membuat keberlangsungan pendidikan menuai kekhawatiran. Hal ini menjadi sebuah tantangan bagi masyarakat di era society 5.0 dengan harapan dapat mengatasi permasalahan yang timbul akibat pandemi Covid-19. Pemanfaatan big data, artificial intelligent, dan internet of things menjadi upaya alternatif dalam membantu menangani dampak pandemi yang sesuai dengan keadaan di era disruptif ini. Penelitian ini bertujuan untuk mengetahui kebijakan dan strategi society 5.0 dalam proses pembelajaran sebagai upaya penanganan dampak pandemi. Penelitian ini menggunakan metode penelitian tinjauan sistematis terhadap literatur yang diterbitkan oleh jurnal ilmiah pada periode Januari tahun 2010 hingga Desember 2021. Sumber yang digunakan berasal dari jurnal-jurnal yang sudah dipublikasikan terkait dengan topik yang dikaji dan dari berbagai media elektronik. Hasil penelitian dapat mengetahui strategi dalam proses pembelajaran dalam implementasi society 5.0 pada kebijakan di bidang pendidikan sebagai upaya menghadapi dampak pandemi covid-19.

The Exploration of Autonomous Vehicles

This chapter explores the world of autonomous vehicles. Starting from the beginning, it covers the history of the automobile dating back to 1769. It explains how the first production automobile came about in 1885. The chapter dives into the history of auto safety, ranging from seatbelts to full-on autonomous features. One of the main focuses is the creation and implementation of artificial intelligent (AI), neural networks, intelligent agents, and deep Learning Processes. Combining the hardware on the vehicle with the intelligence of AI creates what we know as autonomous vehicles today.

Human Leaders and Artificial Intelligent Leaders

The chapter deals with the relationship between human leader and artificial leader. Organizations are encroached by artificial intelligent in almost all the areas of the organization such as retail industry, banking industry, call centers, manufacturing industry. The chapter shows the path how human leader sharing workplace space with the artificial leaders and make them as their workplace spouses for the better functioning of the organizations and the economy. The limitation of the research is implementation of AI in organizations will generate social problems such as unemployment, theft, etc. The future scope of the research is to analyze the working of artificial leaders in the academic industry.

Populism in Robots

Populism has rarely been discussed in the context of robotics. This chapter will explore how intimate relationships, such as love and sex, between human and robots, will bring populism to the populist masses. Intimacy between humans and robots was first raised and discussed by David Levy in his book titled Love and Sex with Robotics published in 2007. As a result, the subject of human-robot romantic and intimate relationships rapidly developed into an academic research discipline in its own right. Since then, researchers have come up with many implementations of robot companions like sex robots, emotional robots, humanoid robots, and artificial intelligent systems that can simulate human emotions. This chapter presents a summary of significant activity in this field during the recent years, predicts how the field is likely to develop, and its ethical and legal background. They also discuss their research in physical devices for human-robot love and sex communication.

Industrial Crane Automation Using Cloud with Artificial Intelligent and Machine Learning

This paper describes the design and development of a construction crane for use in lifting in the heavy weight object at construction site. The construction crane was developed by automatic system which was modified by adding the sensors like proxy sensors, pressure sensors and advance control system. The crane using 3 phase dc motors and voltage range of 220 to 650 volts. The cranes system is controlled through android app using an internet implementing adequate algorithms to ensure a smooth movement and prevent the undesired swinging effects. The machine is operated via a Man Machine Interface (MMI) installed in the android mobile. The range of crane control operations extended by using the internet of things (IOT).

Digital Attendance System using Face Recognition Technique

In this era of digitalization, everything is interlinked and are online. Maximum of things are using ML (Machine Learning), AI (Artificial Intelligent), IoT, Data Science etc. Making use of this, an automated attendance system can be built. So, this project is proposing “Digital Attendance System” using “Face Recognition Technique”. Entering and keeping information in database and using algorithm to extract the face features, this way face recognition technique is achieved. And this technique is used to compare the captured image of source with that of database, resulting in Digital Attendance System which can be used to mark the attendance and so the motive is achieved. Keywords: Attendance system, Face Recognition Technique, dlib library, High resolution camera.