MARCUS, Diana Angganitha (2017) Jaringan Syaraf Tiruan Untuk Melakukan Peringatan Pengambilan Kredit Menggunakan Metode Backpropagation (Studi Kasus : Sekolah Menengah Pertama Negeri 4 Kupang). Diploma thesis, Unika Widya Mandira.
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BAB I PENDAHULUAN.pdf Download (76kB) |
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BAB II LANDASAN TEORI.pdf Download (179kB) |
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BAB III ANALISIS DAN PERANCANGAN SISTEM.pdf Download (399kB) |
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BAB IV IMPLEMENTASI SISTEM.pdf Download (389kB) |
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BAB V PENGUJIAN DAN ANALISIS HASIL.pdf Download (105kB) |
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BAB VI PENUTUP.pdf Download (13kB) |
Abstract
State Junior High School 4 Kupang is one of the schools located in Kupang City. In 2015 the number of employees is 55 people consisting of 45 teachers and 10 staff. Some of the employees do credit in banks with monthly installments of 60% and cooperatives 1.5%. The credit process was initially performed in the bank in accordance with the salary amount of the employee. If the employee concerned wants to do the credit, then the Treasurer should see the remaining salary of the employee. Then made a system that can make a warning in making credit that aims to regulate financial personnel using artificial neural network method is Backpropagation. The method used in this research is using Waterfall method with several stages namely analysis, design, coding, testing, and maintenance. Tools used to build applications are Netbeans 8.1, MySQL Xampp Database V3.2.2. From this research yield accuracy level of 88 % with error rate 0,0001, warning data of each employee along with report.
Item Type: | Thesis (Diploma) |
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Uncontrolled Keywords: | Artificial Neural Network, Credit, Backpropagation, State Junior High School 4 Kupang. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Fakultas Teknik > Program Studi Ilmu Komputer |
Depositing User: | Andreas M. Pati |
Date Deposited: | 27 Jan 2020 04:18 |
Last Modified: | 27 Jan 2020 04:18 |
URI: | http://repository.unwira.ac.id/id/eprint/1435 |
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