Open AccessImplementation of String Matching Algorithm in Customer Data PT. PLN (Persero) Krueng Geukueh District
Author(s) -
Oris Krianto Sulaiman,
Aldy Waridha,
Dian Hendrawan,
Susi Ekalestari,
Purwarno Purwarno,
Andang Suhendi,
Sri Wulan,
Pardi Pardi,
Devi Pratiwy,
Zulfan Sahri,
Safitri Hariani,
Amrin Siregar,
Muhammad Fatih Suhadi,
Purwanto Siwi,
A. Asnani,
M. Manugeren,
Muhammad Ali Pawiro,
Nuzwaty,
Yanhar Jamaluddin,
Syofyan,
Nur M. Ridha Tarigan,
Alamsyah Lukito,
Meri Susanti,
Metrilitna Br Sembiring,
Asnawati Matondang,
Md. Habibullah
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1363/1/012082
Subject(s) - computer science , string searching algorithm , string (physics) , matching (statistics) , process (computing) , algorithm , work (physics) , electricity , data mining , pattern matching , database , operations research , engineering , artificial intelligence , mechanical engineering , statistics , physics , mathematics , electrical engineering , quantum mechanics , operating system
According with the development of information technology and the expand of the internet in the community, the need for computers is very important to support the increasingly high utilization of information technology. Processing data and information requires speed and accuracy of data, to achieve it, it is requires an information technology that can support work so the work becomes more effective and efficient. PT. PLN (Persero) Krueng Geukueh District is a company that runs in the area of electricity and provides services to the community in the provision of services related to electricity, which has a large number of customers. The process of managing customer data at PT. PLN (Persero) Krueng Geukueh District has used a customer data system, but still has a disadvantage of requiring more time in searching customer data, to solving this problem, the author designed the development of the system using the string matching algorithm method, which is one of the most important parts in various processes related to data and text types, one of which is the search for words in customer data. The performance of the string matching algorithm is to match a letters per letter with the keywords given by the staff. The results of this study indicate that by using this method, searching for customer data can be easier. With the development of this system, it is expected that staff or admin in the company can do the work more effectively and efficiently.