Rancang Bangun Aplikasi Monitoring dan Rekapitulasi Kinerja Pelayanan Teknik PT. PLN UIW. S2JB. UP3 Jambi Berbasis Web
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Pratama, Ary Anugrah
Djunaidi, Karina
Sangadji, Iriansyah BM
Djunaidi, Karina
Sangadji, Iriansyah BM
Subject
Teknik Informatika
Datestamp
2022-09-26 08:01:07
Abstract :
Technical Services (YANTEK) is a program that aims to improve PLN services in the field of network maintenance, distribution and handling of electricity disruptions so as to minimize the occurrence of blackouts and speed up electricity recovery services in the event of a disruption. The large number of sub-units in PLN UP3 Jambi makes it difficult to carry out real-time monitoring. In addition, the constraints in the distance and the long travel time to the existing sub-units are the main problems in monitoring performance. One solution to this problem is to design an application that can record and store every daily activity and recapitulate the results of maintenance carried out by YANTEK and can classify services that have been carried out based on 3 clusters namely ?Sangat Baik?, ?Baik? and ?Kurang? based on recorded response and recovery times. . This web-based application uses K-means as a method of clustering the data to be processed. Hypertext Prepocessor (php) is also used as the main programming language in making it and MySql as a data storage medium (database). From the results of the clustering, it was noted that there were 6 data records grouped into the "Sangat Baik" cluster, 8 data records grouped into the "Baik" cluster and 6 data records grouped into the "Kurang" cluster of 20 data records. Black Box testing represents that the application runs according to a predetermined scenario.
Technical Services (YANTEK) is a program that aims to improve PLN services in the field of network maintenance, distribution and handling of electricity disruptions so as to minimize the occurrence of blackouts and speed up electricity recovery services in the event of a disruption. The large number of sub-units in PLN UP3 Jambi makes it difficult to carry out real-time monitoring. In addition, the constraints in the distance and the long travel time to the existing sub-units are the main problems in monitoring performance. One solution to this problem is to design an application that can record and store every daily activity and recapitulate the results of maintenance carried out by YANTEK and can classify services that have been carried out based on 3 clusters namely ?Sangat Baik?, ?Baik? and ?Kurang? based on recorded response and recovery times. . This web-based application uses K-means as a method of clustering the data to be processed. Hypertext Prepocessor (php) is also used as the main programming language in making it and MySql as a data storage medium (database). From the results of the clustering, it was noted that there were 6 data records grouped into the "Sangat Baik" cluster, 8 data records grouped into the "Baik" cluster and 6 data records grouped into the "Kurang" cluster of 20 data records. Black Box testing represents that the application runs according to a predetermined scenario.
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