This article analyzes the phenomenon and behavior of computerization among elementary school-aged children through a literature review of culture, technology, sociology, education, and sociolinguistics. The emphasis of this analysis is from the point of view of the challenges and opportunities of preparing a cultured Islamic generation. We have found the answer to the above problem through an analysis of several publications of previous findings that we obtained through an electronic search and involving analytical studies such as coding systems, data evaluation, in-depth interpretation, and data inference as final findings with the principle of validity and alignment of findings with the problems of this study. The findings show that we have summarized technological trends among elementary school-aged children into two categories. First, digital trends positively impact digital skills development at an early age under the direction and control of educational goals. Another trend is an alarming phenomenon for children's mental and mental development because technology is not involved in the educational career, such as the freedom to use technology in children. These findings should be input and awareness for Muslim educators and families.

The development of the motorcycle industry in Indonesia has developed quite significantly from year to year, the BPS (Central Statistics Agency) noted that in 2019 the number of motorcycle sales reached 106.657.952 units, and the AISI (Indonesian Motorcycle Industry Association) in 2020 the type of scooter (matic) of 2,696,557 units or 87.9%, this automatic type of motorbike is the largest contributor to two-wheeled vehicles and is the favorite type of vehicle for Indonesians. Automatic transmission or what is known as CVT (Continuous Variable Transmission), which is an automatic speed transfer system according to engine speed using a V-belt. In previous research, the use of IoT (Internet of Things) is used as an automatic air quality monitoring control system, air quality conditions can be seen quickly and accurately from the monitor. The goal of this study is to use a vibration sensor and the CBR (Case Based Reasoning) method to solve damage to matic motor components. The results of this study are (a) the case average value is 0,76, (b) the CVT component parameter is 80% the average value is 0,94, (c) the CVT component weight parameter is from 60% the average value is 1,26.

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Entrepreneurship in the 21st century is characterized by a high volume of flexibility and knowledge. The two features have gained a great and renewed relevance as competitive advantages in a globalized economy. The classical industry structure has transitioned into a smaller focus and higher decentralization which is a major indicator of global development. Global competition has increased as technology changes due to the rise of economic liberalization. Today, there is a belief that fostering a nation's competitiveness translates into fostered entrepreneurship. The fourth industrial revolution has brought in technological innovation, therefore, spurring a transformation in production. There are two facets to this transformation. One, the need to integrate and upgrade systems, and two, the emergency of new systems based on artificial intelligence technology. The increased application of technology speeds up the restructuring and structural upgrading of the global industrial chain, therefore, enhancing the spirit of entrepreneurship. The purpose of this paper is to review the literature on the globalization substance, industrial revolution 4.0, and the role of the associated technological innovation for economic development towards entrepreneurship. First, the paper will present a theoretical background of these phenomena synthetically from globalization, industrial revolution phases, associated technological innovation and milestones in economic growth, and their role in enhancing entrepreneurship. The paper will highlight the role of technology-driven profile in the new global economy, spearheaded by innovative business strategies towards entrepreneurial initiatives.

At present, the school is experiencing difficulties processing the results of student academic achievement for the specialization process for high school students. The currently running student interest process still uses a manual system by calculating the subject value of each student and then grouping the results of the calculation of each student's value into science or social studies interest groups in accordance with the requirements imposed by the school. For that, we need a solution that can overcome these difficulties. The author develops the application using the Rapid Application Development (RAD) method, which consists of the requirements planning phase, the design phase, the construction phase, and the implementation phase. At the construction stage, the K-Means algorithm is implemented in data mining technology to classify student academic achievement results into science and social studies interest groups. The results of making this application are intended for the school, especially the homeroom teacher, so that it can be an alternative solution or advice in making decisions for student specialization.