Hence, every inventory system in Bopkri 2 Senior High School Yogyakarta can work better and more efficiently, because if a school employee or staff member at the school wants to check goods that enter the school, it will be easier and more practical with the information system application. The design carried out to build this application is to use the web as a media access with the programming language used is PHP and its database using MySQL.
![skripsi sistem informasi sekolah berbasis web skripsi sistem informasi sekolah berbasis web](https://image.slidesharecdn.com/proposalskripsi-150109221711-conversion-gate02/95/proposal-skripsi-2-638.jpg)
In this case, in order to support the inventory of goods in Bopkri 2 Senior High School Yogyakarta, an application called an inventory of tools and goods information systems is needed. There have been many schools in Indonesia that have used the web in the school information media which includes a wide area for the community to obtain school information, but it is still rare in the collection of school inventory items. Every data collection of goods at Bopkri 2 Senior High School Yogyakarta still relies on a school computer that is very vulnerable to losing school inventory data if at any time the school computer is damaged or cannot function again. The input process still uses Microsoft Excel. Naskah_Publikasi_5150411412 Rusendi Nahampun.pdfĪt this time the inventory process of tools and goods at Bopkri 2 Senior High School Yogyakarta is still done manually. Tugas Akhir thesis, University of Technology Yogyakarta. The challenges themselves can be organized into four distinct aspects of the Big Data ecosystem.ANALISA DAN PERANCANGAN SISTEM INFORMASI INVENTARIS SEKOLAH BERBASIS WEB (Studi Kasus: SMK Bopkri 2 Yogyakarta). Cloud Security Alliance (CSA) has released that the top 10 challenges, which are as follows: 1) secure computations in distributed programming frameworks, 2) security best practices for non-relational data stores, 3) secure data storage and transactions logs, 4) end-point input validation/filtering, 5) real-time security monitoring, 6) scalable and composable privacy-preserving data mining and analytics, 7) cryptographically enforced data centric security, 8) granular access control, 9) granular audits, 10) data Provenance. Organizations must find a way to manage their data in accordance with all relevant privacy regulations without making the data inaccessible and unusable.
#Skripsi sistem informasi sekolah berbasis web how to
One of the most challenging issues is how to effectively manage such a large amount of data and identify new ways to analyze large amounts of data and unlock information.
![skripsi sistem informasi sekolah berbasis web skripsi sistem informasi sekolah berbasis web](http://3.bp.blogspot.com/-Ag3XHnojbYw/VMMJs3u9y_I/AAAAAAAABZ0/suUwci7SzYs/s1600/Sistem%2BInformasi%2BPembayaran%2BSPP%2Bdi%2BSekolah%2BBerbasis%2BWeb%2B%2Bdengan%2BPHP.jpg)
The explosion of data available on the internet is very increasing in recent years. Therefore, it is proven that KNN-SVM produce promising identification performance, in which KNN is able to reduce the noise in the data set and SVM is reliable in the language identification. However, when increasing the level of noise in the training data, KNN-SVM performs better than KNN-BPNN against the misclassification data, even on the level of 50% noise. From the experiment, we have observed that BPNN is able to produce precise identification if the data set given is clean. We have used the standard measurements which are accuracy, precision, recall and F1 measurements to evaluate the effectiveness of the proposed hybrid-KNN. Fahrurrozi2), Khairunnazi 3) 1, 2,3)STMIK Syaikh Zainuddin NW Jln.
![skripsi sistem informasi sekolah berbasis web skripsi sistem informasi sekolah berbasis web](https://i0.wp.com/toriqa.com/wp-content/uploads/2021/03/Judul-Skripsi-Sistem-Informasi-Penjualan.jpg)
KNN is prominent in data clustering or data filtering, SVM and BPNN are well known in supervised classification, and we have proposed hybrid-KNN for noise removal on web page language identification. Sistem Informasi Repositori Skripsi Berbasis Web Pada STMIK Syaikh Zai-nuddin NW Anjani 53 SISTEM INFORMASI REPOSITORI SKRIPSI BERBASIS WEB PADA STMIK SYAIKH ZAINUDDIN NW ANJANI Lalu Puji Indra Kharisma1), Muh. Therefore, there are a number of methods that have been evaluated in this work k-nearest neighbor (KNN), support vector machine (SVM), backpropagation neural networks (BPNN), hybrid KNN-SVM, and KNN-BPNN, in order to justify the capability of the state-of-the-art methods. Specifically, it has involved the issue of feature representation, feature selection, identification performance, retrieval performance, and noise tolerance performance. One of the crucial tasks in the text-based language identification that utilizes the same script is how to produce reliable features and how to deal with the huge number of languages in the world. In this paper, we proposed hybrid-KNN methods on the Arabic script web page language identification.