Humans express technology starting from their intellect and mind. With this, humans have a desire to get out of trouble, wanting to live better, more comfortable and safer. Productive counselling that we do to residents of Taman Bukit Cibogo RT. 08 RW. 17 Leuwigajah Cimahi Selatan regarding technology counselling in household life. The purpose of this service is to convey to residents about applications that can be used in everyday life to help activities carried out by each of them. The application used is on average a digital application that we can download on the playstore or Appstore platform. Based on the results of the service carried out on residents of Taman Bukit Cibogo RT. 08 RW. 17 Leuwigajah Cimahi Selatan, they were quite enthusiastic about the application that the service team conveyed, some even asked for help to install the application they wanted.
SMK Al-Farisi Leles currently provides hotspot services which is an area where there is a wireless internet connection that can be accessed through Laptops, Gadgets, and other devices that support the technology. With hotspots in SMK Al-Farisi Leles, users can enjoy internet access in the hotspot area without having to connect by cable. Hotspots in SMK Al-Farisi can be accessed directly by anyone because the authentication system is still conventional which is authentication that enters a password to be connected to the hotspot network, this often results in an unstable connection because there is no limit to being connected to the hotspot network so that people outside the school community who are in the hotspot area can also be connected freely. Therefore, the author implements SMS Gateway-based Authentication User in SMK Al-Farisi where the user is required to request first to obtain a hotspot account via SMS with the provision stipulated by the admin. The results showed that this authentication system runs smoothly and can manage users connected to hotspot networks.
<p class="Abstrak">Interpolasi splin kubik merupakan sebuah metode pencocokan kurva yang sangat populer karena mudah diterapkan dan menghasilkan kurva yang mulus. Pada artikel ini dibahas pengembangan metode interpolasi splin kubik untuk syarat batas terapit yang diambil dari rumus eksplisit beda hingga dengan ketelitian orde lebih tinggi. Pengembangan metode ini diterapkan pada masalah pelacakan trajektori objek (<em>object tracking</em>). Secara khusus, masalah ini diujikan untuk splin kubik terapit orde dua, dan hasil interpolasinya dibandingkan dengan hasil pada splin kubik alami dan splin kubik terapit orde satu. Dari simulasi data trajektori yang dibangkitkan dari kurva spiral Archimedean, diperoleh nilai galat total untuk splin kubik alami, terapit orde satu dan terapit orde dua masing-masing sebagai berikut: , dan . Berdasarkan hasil tersebut, disimpulkan bahwa interpolasi splin kubik terapit orde dua yang dikembangkan pada artikel ini dapat menghasilkan trajektori objek yang lebih akurat dibandingkan splin kubik alami dan splin kubik terapit orde satu.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstrract</strong></em></p><p class="Abstract"><em>Cubic spline interpolation is a very popular curve fitting method since it is easy to implement and produces a smooth curve. This article discusses the development of the cubic spline interpolation method for a clamped boundary condition taken from finite-difference explicit formulas with higher-order accuracy. The development of this method is applied to an object tracking problem. In particular, this problem is examined for second-order clamped cubic spline, and the interpolated results are compared with those for natural and first-order clamped cubic splines. From the simulation of trajectory data generated from the Archimedean spiral curve, the total error values for natural, first-order, and second-order clamped cubic splines are respectively , and . Based on these results, it is concluded that the second-order clamped cubic spline interpolation developed in this article can produce a more accurate object trajectory than the natural and first-order clamped cubic splines.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>
The purpose of this community service is to teach basic training on visual basic programming. Visual Basic programming is a programming language studied by Informatics Engineering and Computer Engineering students. Visual basic is a computer programming language that is directive or commands that can be understood by the computer to carry out certain commands. Community service carried out by TEDC Bandung Polytechnic students held training for students of SMK Al-Ihsan Batujajar on Basic Visual Basic Programming. This is related to the subjects available at the school, namely Windows-based Programming Subjects. The method implemented by TEDC Polytechnic students is community service in the form of training. The result of this community service is that students of SMK Al-Ihsan Batujajar can understand and implement the results of training in Windows-based Programming subjects. The conclusion of this community service is that students are able to understand and re-implement the material that has been taught by using existing facilities.
In December 2019, an outbreak named Corona Virus (SARS-CoV-2) occurred in the city of Wuhan, China which was later known as COVID-19. News of the development of the virus spread through various media, one of which was through the well-known platform Twitter. Twitter is one of the widely used media platforms to communicate about Covid-19. Information related to Covid-19 circulating in the community can be in the form of news or opinions or opinions. Then, the circulating information will be classified into three classes, namely positive, negative or neutral. The method used to calculate the prediction of text classification on Twitter is K-nearest neighbors (KNN). The dataset used in grouping on twitter by using the account name Covid19. Firstly, the dataset by crawling data or information on twitter. Secondly, the text mining stage to determine the class distance value and calculate the Euclidean distance formula based on all the training data to be tested. After the training process is complete, the evaluation model used will be used, the Euclidean results are taken based on the value of the closest distance. The accuracy of the model will be calculated using the previous Euclidean method. The results of this study he obtained with the highest value, one of which was 78% using a 50:50 sample comparison with k-5 and k-9 values.
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