PENDEKATAN METODE ANALYTIC HIERARCHY PROCESS (AHP)
UNTUK MENENTUKAN ESTIMASI BIAYA TAMBAH DAYA
BERBASIS ANDROID
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Institusion
INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO
Author
Crysta Pratama, Aditya
Subject
Q Science (General)
Datestamp
2023-12-27 06:36:14
Abstract :
Electricity is one of the energy needs in the household, because electricity can facilitate household activities. Less electric power can interfere with household activities, adding power is a solution to increase the electric power you have at home. With added power, household activities can run as usual. Therefore, an Android-based decision support system application is made to facilitate the selection of the appropriate power and the costs required to add the power. This application was created using Visual Code Studio with the Flutter programming language and the Analytic Hierarchy Process (AHP) method. There are 3 power alternatives chosen, alternative selection based on the nearest power from the initial power, maximum total power, and additional electronics. Maximum total power is obtained when all owned devices are run or all turned on. While the additional electronics themselves are taken when the application user wants or plans to add more electronic devices. The results of manual calculations using the AHP method can show the best suitable alternative power results. The application was tested for devices and the results of the test showed that the application could run on the lowest operating system, namely Android 5.1 (Lollipop) and the latest Android 12.
Electricity is one of the energy needs in the household, because electricity can facilitate household activities. Less electric power can interfere with household activities, adding power is a solution to increase the electric power you have at home. With added power, household activities can run as usual. Therefore, an Android-based decision support system application is made to facilitate the selection of the appropriate power and the costs required to add the power. This application was created using Visual Code Studio with the Flutter programming language and the Analytic Hierarchy Process (AHP) method. There are 3 power alternatives chosen, alternative selection based on the nearest power from the initial power, maximum total power, and additional electronics. Maximum total power is obtained when all owned devices are run or all turned on. While the additional electronics themselves are taken when the application user wants or plans to add more electronic devices. The results of manual calculations using the AHP method can show the best suitable alternative power results. The application was tested for devices and the results of the test showed that the application could run on the lowest operating system, namely Android 5.1 (Lollipop) and the latest Android 12.
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