Hillman, Mochammad Fajar (2019) Metode Estimasi Biaya Menggunakan Function Point dan Story Point untuk Proyek Pengembangan Permainan Digital. Masters thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
05211750012022-Master_Thesis.pdf - Accepted Version Download (5MB) | Preview |
Abstract
Industri permainan digital sedang berada di puncak popularitasnya. Berdasarkan Superdata, revenue global dari industri permainan digital di tahun 2017 mencapai USD 108.4 milyar, meningkat USD 17.4 milyar dari tahun 2016. Revenue yang dihasilkan pada tahun 2016 bahkan melampaui capaian pendapatan kombinasi dua segmen industri entertaiment lainnya yaitu industri film dan musik. Hasil pendapatan yang menggiurkan dari industri digital membuat meningkatnya daya saing di industri permainan digital yang mengakibatkan banyak perusahaan yang mengalami kegagalan. Meningkatnya angka kegagalan membuat metode estimasi biaya untuk perangkat lunak permainan digital semakin dibutuhkan karena faktor terbesar yang mengakibatkan kegagalan dalam pembangunan perangkat lunak adalah biaya. Metode Function Point Analysis (FPA) yang merupakan metode standar industri dinilai gagal karena tidak sesuai dengan karakteristik permainan digital yang 58.96% dari kebutuhannya merupakan kebutuhan yang berkaitan dengan unsur seni. Namun disisi lain metode FPA merupakan standar inputan utama pada metode estimasi biaya. Oleh karena itu, penelitian ini bertujuan untuk mengkombinasikan metode FPA dengan metode Story Point (MSP). Metode story point diharapkan dapat memberikan sebuah nilai pada unsur seni yang diabaikan oleh perhitungan FPA. Berdasarkan hasil penelitian ini, metode FPA-MSP memiliki akurasi estimasi yang lebih baik dengan nilai rata-rata gap sebesar 29.57% dibandingkan estimasi FPA murni yang memiliki rata-rata gap sebesar 53.51%. Metode FPA-MSP membuktikan bahwa unsur seni menjadi faktor utama yang harus dipertimbangkan dalam udaya estimasi biaya perangkat lunak permainan digital.
===============================================================================================================================
The digital game industry is reaching the peak of its popularity. Based on Superdata, global revenue from the digital game industry in 2017 reached USD 108.4 billion, an increase of USD 17.4 billion from 2016. Even in 2016, the revenue generated by the industry exceeded the combined achievements of the two other entertainment industry segments, namely the film and music industry. The lucrative income from the digital industry has made competitiveness increased in the digital game industry, which has resulted in many companies failing in the development process. The increasing failure rate makes the cost estimation method for digital game software increasingly needed because the most significant factor that causes failure in software development is cost. The Function Point Analysis (FPA) method, which is an industry-standard method, is deemed a failure because it is incompatible with the characteristics of digital games, which 58.96% of their needs are needs related to aesthetic elements such as art and sound. However, on the other hand, the FPA method is still relevant because used as the primary input for the cost estimation method. Therefore, this study aims to combine the FPA method with the Story Point (MSP) method which expected to give value to the aesthetic elements that are ignored by FPA calculations. Based on the results of this study, the FPA-MSP method has proven to be a better estimation with an accuracy value of 29.57% than the pure FPA which has 53.51%. The FPA-MSP method proves that the element of aesthetic is a significant factor that must be considered in the culture of estimating the cost of the digital game software.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Estimasi Biaya Perangkat Lunak, Function Point Analysis, Permainan Digital, Story Point, Unsur Seni. |
| Subjects: | T Technology > T Technology (General) > T58.6 Management information systems |
| Divisions: | Faculty of Information and Communication Technology > Information Systems > 59101-(S2) Master Thesis |
| Depositing User: | Mochammad Fajar Hillman |
| Date Deposited: | 30 Jul 2024 01:16 |
| Last Modified: | 30 Jul 2024 01:16 |
| URI: | http://repository.its.ac.id/id/eprint/72862 |
Actions (login required)
 |
View Item |