IMPLEMENTASI ALGORITMA LEVENSHTEIN DISTANCE DAN ALGORITMA BOYER-MOORE DALAM PENGELOMPOKAN WORK ORDER BERDASARKAN PRODUK (STUDI KASUS: PT. XYZ)

SAPUTRA, CAKRA WIJAYA (2023) IMPLEMENTASI ALGORITMA LEVENSHTEIN DISTANCE DAN ALGORITMA BOYER-MOORE DALAM PENGELOMPOKAN WORK ORDER BERDASARKAN PRODUK (STUDI KASUS: PT. XYZ). S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

PT. XYZ currently uses the manual method to perform the archiving and reporting process for Work Orders by writing a manual list with an excel file. In this study, researchers had the opportunity to develop an archiving application. Web-based archiving application at PT. XYZ is an application designed to simplify the process of storing Work Order data files at PT. XYZ. This application is designed to provide solutions to problems that arise in the archiving process (process of saving the Work Order file). Currently the data is not centralized in 1 data warehouse and there are no Work Order data processing features available, which makes it difficult for companies to check and analyze the required data. . Answering these problems, this research aims to create an automatic filing system for work orders at PT. XYZ. This application was developed using the prototype method using the Python and Django framework and MySQL database. This application is equipped with a string matching sistem with the Levenshtein Distance Algorithm and Boyer Moore Algorithm. Some of the Work Order data taken in this application include data related to sales names, product names, principal names, job details, work order dates. Key words: Algorithm, Levenshtein, Boyer Moore, Archiving Application, String Matching PT. XYZ untuk sekarang ini menggunakan cara manual untuk melakukan proses archiving dan reporting terhadap Work Order yaitu dengan cara melakukan penulisan list manual dengan file excel. Pada penelitian ini peneliti mendapatkan kesempatan untuk mengembangkan aplikasi archiving. Aplikasi archiving berbasis web pada PT. XYZ merupakan aplikasi yang dirancang peneliti untuk mempermudah proses penyimpanan berkas data work order di PT. XYZ. Aplikasi ini dirancang untuk memberikan solusi terhadap permasalahan yang muncul pada proses archiving (penyimpanan berkas work order) yang ada. Pada saat ini datanya belum terpusat pada satu data warehouse dan belum tersedia fitur proses pengolahan data work order yang menyebabkan perusahaan kesulitan dalam melakukan pengecekan maupun analisa data yang dibutuhkan. Menjawab permasalahan tersebut penelitian ini bertujuan untuk membuat Sistem Pengarsipan terhadap Work Order secara otomatis di PT. XYZ. Aplikasi ini dikembangkan dengan metode prototype dengan menggunakan bahasa pemrograman Python dan Django Python Web Framework dan database MySQL. Aplikasi ini dilengkapi dengan sistem string matching dengan Algoritma Levenshtein Distance dan Algoritma Boyer Moore. Beberapa data work order yang diambil dalam aplikasi ini antara lain adalah data terkait nama sales, nama produk, nama prinsipal, detail pekerjaan, tanggal work order. Kata kunci: Algoritma, Levenshtein, Boyer Moore, Aplikasi Archiving, String Matching

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 23 155
NIM/NIDN Creators: 41518110052
Uncontrolled Keywords: Algoritma, Levenshtein, Boyer Moore, Aplikasi Archiving, String Matching
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem > 003.5 Computer Modeling and Simulation/Model dan Simulasi Komputer
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.1 General Works on Specific Types of Computers/Karya Umum tentang Tipe-tipe Khusus Komputer
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: CALVIN PRASETYO
Date Deposited: 13 Oct 2023 01:52
Last Modified: 13 Oct 2023 01:52
URI: http://repository.mercubuana.ac.id/id/eprint/82435

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