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ITS » Undergraduate Theses » Teknologi Informasi - D4
Posted by ansi@its.ac.id at 22/06/2011 09:33:03  •  3431 Views


RANCANG BANGUN SISTEM PENGELOLAAN DOKUMEN DOKUMEN PENTING MENGGUNAKAN TEXT MINING

DIGITAL DOCUMENTS MANAGEMENT SYSTEM USING TEXT MINING

Author :
AUNUROKHMAN, AHMAD HATTA ( 7406040028 )




ABSTRAK

Saat ini kebutuhan akan penggunaan data dalam format digital semakin meningkat. Terbukti dengan semakin berkembangnya teknologi smart card yang digunakan untuk menggantikan data-data penting ke dalam satu kartu. Kebutuhan ini semakin terasa ketika berhubungan dengan penyimpanan arsip-arsip yang penting. Hal ini dikarenakan format digital dirasakan lebih efektif dan efisien. Namun proses untuk mengubah data dari format kertas menjadi data format digital memerlukan usaha yang sangat besar baik dari tenaga waktu maupun biaya yang dibutuhkan. Oleh karena itu untuk memperkecil usaha yang dibutuhkan perlu dibuat suatu sistem pengelolan dokumen digital dengan menggunakan teknologi OCRoptical character recognizing guna merubah data menjadi data digital serta melakukan pengelolaan dokumen digital tersebut berdasarkan informasi yang terkandung didalamnya. Untuk memudahkan sistem untuk mendapatkan informasi didalam dokumen tersebut dapat dilakukan dengan menerapkan tahapan-tahapan text mining. Sedangkan pengelolaan dokumen menggunakan metode K-Nearest Neighbors K-NN untuk mengelompokkan data digital tersebut sesuai dengan tipe masing-masing.


ABSTRACT

Nowadays the need to use of data in digital formats is increasing. Evidenced by the growing of smart card technology that is used to replace the necessary data into a single card. This need is rising when corresponding with important documents because digital format is more effective and efficient. However the process to convert the data from paper format into digital format requires a huge effort in labor time and cost. Therefore to minimalize the effort required a digital document management system using OCR optical character recognizing is build in order to help changing the analog data into digital data and perform digital document management based on the information contained therein. To simplify the system obtain information in these documents it can be done by applying text mining stages. To manage the documents K-Nearest Neighbors K-NN is used for classifying the digital data in accordance with their types.



Keywordsoptical character recognizing; nearest neighbors; digital; sistem; management;OCR; pengelolaan; dokumen; document; JPEG; Text Mining; KNN; Java; Ahmad Hatta;
 
Subject:  metadata
Contributor
  1. NANA RAMADIJANTI, S.KOM, M.KOM
  2. AFRIDA HELEN, S.T, M.KOM
Date Create: 10/08/2010
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100011041956
Collection ID: 3100011041956
Call Number: RSEP 005.74 Aun r


Source
Undergraduate Thesis, Informatics, RSEP 005.74 Aun r, 2010

Coverage
ITS Community

Rights
Copyright @2010 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-Undergraduate-14856-abstract-idpdf.pdf - 82 KB
  2.  ITS-Undergraduate-14856-abstract-enpdf.pdf - 79 KB
  3.  ITS-Undergraduate-14856-conclusionpdf.pdf - 81 KB
  4.  ITS-Undergraduate-14856-paperpdf.pdf - 405 KB




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