scholarly journals Penerapan Arsitektur Multi-Tier Pada Sistem Informasi Akademik (SIA) Sma Negeri 7 Prabumulih

2020 ◽  
Vol 1 (3) ◽  
pp. 134-143
Author(s):  
Mutiara Pasha ◽  
Ahmad Haidar Mirza ◽  
Ria Andryani

Aktivitas akademik yang terdapat pada SMA Negeri 7 Prabumulih adalah pengelolahan data siswa, data guru, data jadwal, data nilai dan data absensi. Dalam pengelolaan data akademik masih terdapat beberapa permasalahan yang kerap muncul yakni mengenai kesulitan yang dialami pihak sekolah dalam melakukan pengolahan data akademik karena belum di dokumentasikan secara elektronik oleh pihak sekolah. Maka untuk dapat menunjang efektifitas dan efisiensi serta mempermudah dalam melakukan pengelolaan data akademik pada SMA Negeri 7 Prabumulih, akan dibangun sistem informasi akademik dengan menerapkan arsitektur Multi-Tier merupakan Aplikasi Server yang dapat mengakses aplikasi Server lain untuk mendapatkan data dari data server dan mensuplai servis ke Client Application. Kelebihan arsitektur Multi-Tier logika bisnis pada middle tier dapat digunakan lagi untuk mengembangkan aplikasi client lain, sehingga mengurangi besarnya program untuk mengembangkan aplikasi lain. Selain itu meringankan beban pada tiap-tiap mesin karena program terdistribusi pada beberapa mesin

2017 ◽  
Vol 15 (3) ◽  
pp. 15-20
Author(s):  
A. V. Bagdueva ◽  
◽  
D. A. Gabeeva ◽  
A. A. Tonkhonoeva ◽  
◽  
...  
Keyword(s):  

2013 ◽  
Vol 9 (1) ◽  
Author(s):  
Willy Ristanto ◽  
Willy Sudiarto Raharjo ◽  
Antonius Rachmat Chrismanto

Cryptography is a technique for sending secret messages. This research builds an Android-based email client application which implement cryptography with Schmidt-Samoa algorithm, which is classified as a public key cryptography. The algorithm performs encryption and decryption based on exponential and modulus operation on text messages. The application use 512 and 1024 bit keys. Performance measurements is done using text messages with character number variation of 5 – 10.000 characters to obtain the time used for encryption and decryption process. As a result of this research, 99,074% data show that decryption process is faster than encryption process. In 512 bit keys, the system can perform encryption process in 520 - 18.256 miliseconds, and decryption process in 487 - 5.688 miliseconds. In 1024 bit keys, system can perform encryption process in 5626 – 52,142 miliseconds (7.388 times slower than 512 bit keys) and decryption process with time 5463 – 15,808 miliseconds or 8.290 times slower than 512 bit keys.


2019 ◽  
Vol 13 (2) ◽  
pp. 159-165
Author(s):  
Manik Sharma ◽  
Gurvinder Singh ◽  
Rajinder Singh

Background: For almost every domain, a tremendous degree of data is accessible in an online and offline mode. Billions of users are daily posting their views or opinions by using different online applications like WhatsApp, Facebook, Twitter, Blogs, Instagram etc. Objective: These reviews are constructive for the progress of the venture, civilization, state and even nation. However, this momentous amount of information is useful only if it is collectively and effectively mined. Methodology: Opinion mining is used to extract the thoughts, expression, emotions, critics, appraisal from the data posted by different persons. It is one of the prevailing research techniques that coalesce and employ the features from natural language processing. Here, an amalgamated approach has been employed to mine online reviews. Results: To improve the results of genetic algorithm based opining mining patent, here, a hybrid genetic algorithm and ontology based 3-tier natural language processing framework named GAO_NLP_OM has been designed. First tier is used for preprocessing and corrosion of the sentences. Middle tier is composed of genetic algorithm based searching module, ontology for English sentences, base words for the review, complete set of English words with item and their features. Genetic algorithm is used to expedite the polarity mining process. The last tier is liable for semantic, discourse and feature summarization. Furthermore, the use of ontology assists in progressing more accurate opinion mining model. Conclusion: GAO_NLP_OM is supposed to improve the performance of genetic algorithm based opinion mining patent. The amalgamation of genetic algorithm, ontology and natural language processing seems to produce fast and more precise results. The proposed framework is able to mine simple as well as compound sentences. However, affirmative preceded interrogative, hidden feature and mixed language sentences still be a challenge for the proposed framework.


2021 ◽  
pp. 1-43
Author(s):  
YAQOOB KHAN BANGASH

Abstract This article focuses on the workings of the Punjab Partition Committee in the crucial months of July and August 1947. In bringing new material to the historiography of partition, this article challenges the widely held assumption that the Punjab Partition Committee did not deliver. It argues that one must assess and value the large degree of cooperation and agreement between Punjab political leaders on the Committee, despite the charged political and communal atmosphere of the summer of 1947. Furthermore, it argues that the Committee created a limited sense of order during the disarray that prevailed in the run-up to the Transfer of Power. This order was brought about by the cooperation and work of the ‘middle tier’—the bureaucrats and other officials who are often missing from partition literature. The article shows the hard, bureaucratic—yet human—side of partition during these deliberations: at the same time as these people were carrying out partition, they were also suffering its effects. Finally, the Committee's negotiations show how the soon-to-be-established provinces and dominions were setting up their respective states through the procurement of assets and resources.


Author(s):  
Philip A. Bernstein ◽  
Alan Fekete ◽  
Hongfei Guo ◽  
Raghu Ramakrishnan ◽  
Pradeep Tamma
Keyword(s):  

2013 ◽  
Vol 834-836 ◽  
pp. 1807-1811
Author(s):  
Jian Xia Du ◽  
Xiao Dong Sun ◽  
Zeng Min Geng

A method is proposed which uses the IBM OmniFind Enterprise Edition combined with IBM open source of unstructured information management architecture of Unstructured Information Management Architecture (UIMA), to realize the IBM OmniFind Enterprise Edition semantic search engine search and result classification. This method makes the search space and function more widely, which can not only meet the higher demand of the part of the user, but also increase the competitiveness of the client application.


Author(s):  
Tom Fischer ◽  
John Slater ◽  
Pete Stromquist ◽  
Chaur G. Wu
Keyword(s):  

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