Pratama, Ade (2018) Implementasi Metode Artificial Neural Network (ANN) Model Based On Use Case Point Dalam Menghitung Biaya Perangkat Lunak (Studi Kasus CV. Profile Image Studio). Sarjana thesis, Universitas Brawijaya.
Abstract
Estimasi biaya perangkat lunak merupakan aspek yang sangat penting dalam proyek teknologi informasi untuk pembuatan anggaran. Dalam proses penentuan harga suatu sistem CV. Profile Image Studio tidak menggunakan format standar ilmiah, mereka hanya menggunakan metode guesstimate. Metode tersebut hanya berdasarkan perkiraan yang dilandaskan pengalaman sebelumnya tanpa adanya bukti. Berdasarkan hal tersebut maka dilakukan implementasi metode lain dalam menghitung biaya perangkat lunak sebagai masukan kepada CV. Profile Image Studio. Estimasi biaya pada penelitian ini akan mengimplementasikan metode Artificial Neural Network (ANN) model Based On Use Case Point. Estimasi biaya dapat diperoleh setelah mendapatkan nilai estimasi effort atau usaha, sumber daya manusia serta estimasi waktu pengembangan sistem. Metode Artificial Neural Network (ANN) model Based On Use Case Point diimplementasikan kepada 2 sistem yang telah selesai dikembangkan oleh CV. Profile Image Studio. Pada akhir penelitian ini, dilakukan perbandingan biaya pengembangan sistem, dengan membandingkan hasil estimasi biaya yang diperoleh menggunakan metode Artificial Neural Network (ANN) model Based On Use Case Point dengan alokasi biaya yang dikeluarkan oleh CV. Profile Image Studio. Hasil implementasi metode Artificial Neural Network (ANN) model Based On Use Case Point dalam menghitung biaya perangkat lunak didapatkan bahwa total estimasi biaya sistem DBA ticketing sebesar Rp 17.703.140 yang dikerjakan oleh 12 orang dalam waktu 1247,46 jam sedangkan untuk sistem pintu air sebesar Rp 6.436.860 yang dikerjakan oleh 12 orang dalam waktu 453,6 jam.
English Abstract
Software cost estimation is an important part of an information technology project for budgeting. In the process of determining the price of a system CV. The Profile Image Studio does not use the scientific standard format or is commonly called parametric, they only use the guesstimate method. It is only estimates based on intuition. Based on this case, the cost estimation in this study will implement Artificial Neural Network (ANN) model Based on Use Case Point method is implemented in calculating software costs as suggestion for CV. Profile Image Studio. Cost estimates can be obtained after obtaining estimated effort, number of human resources and estimated system development time. Artificial Neural Networks (ANN) Based on Use Case Point method is implemented in 2 systems that have been developed by CV. Studio Profile Image. At the end of this study, the cost comparison of system development was done by comparing estimated cost results obtained using the Artificial Neural Network (ANN) model based on the Use Case Point with the allocation of costs incurred by CV. Studio Profile Image. The results of applying the Artificial Neural Network (ANN) model Based on the Use Case Point method in calculating software costs, it was found that the total estimated cost of the DBA ticket system was Rp. 17,703,140 carried out by 12 people in 1247.46 hours while the pintu air system was Rp. 6,436,860 carried out by 12 people in 453.6 hours.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FTIK/2018/1037/051900835 |
| Uncontrolled Keywords: | estimasi biaya, estimasi biaya perangkat lunak, use case point, jaringan saraf tiruan-cost estimation, software cost estimation, use case point, artificial neural network |
| Subjects: | 000 Computer science, information and general works > 005 Computer programming, programs, data > 005.1 Programming |
| Divisions: | Fakultas Ilmu Komputer > Sistem Informasi |
| Depositing User: | soegeng sugeng |
| Date Deposited: | 15 Apr 2020 08:03 |
| Last Modified: | 18 May 2022 01:28 |
| URI: | http://repository.ub.ac.id/id/eprint/166902 |
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