Digital Library: No conditions. Results ordered -Date Deposited. 2024-03-29T08:55:39ZEPrintshttp://digilib.unila.ac.id/images/sitelogo.pnghttp://digilib.unila.ac.id/2022-04-02T22:55:43Z2022-04-02T22:55:43Zhttp://digilib.unila.ac.id/id/eprint/57639This item is in the repository with the URL: http://digilib.unila.ac.id/id/eprint/576392022-04-02T22:55:43ZPERANCANGAN APLIKASI GAME PSIKOTES BERBASIS
ANDROID MENGGUNAKAN METODE RAPID APPLICATION
DEVELOPMENT (RAD)
Penelitian ini bertujuan untuk menerapkan instrument ilmu psikologi oleh Prof.
Anthony Gregorc berupa Thinking Style menjadi sebuah applikasi game mobile
smartphone yang memudahkan user dalam melakukan psikotes dengan
kenyamanan berbentuk sketsa Text-Based RPG agar user mendapatkan
kecendrungan gaya berpikir dan mendapatkan kesejahteraan psikologi. Penelitian
ini dilakukan berdasarkan metode RAD (Rapid Application Development) yang
dilakukan dengan bantuan Tools Game Engine berupa Unity Engine 3D Free
Edition. Analisis hasil dilakukan dengan pengujian fungsional melalui metode
Black Box dan analisis pengujian non fungsional melalui metode sampel acak
Convenience Sampling. Hasil analisis pengujian fungsional menunjukkan aplikasi
Game Psikotes berfungsi sesuai dengan perencanaan. Hasil analisis pengujian non
fungsional menujukkan aplikasi Game Psikotes masuk dalam kategori “Cukup
Baik” dengan rata-rata nilai 77.3%.
Kata Kunci: Gregorc Thinking Style, Psikologi Manusia, Self Report,
Game Psikotes.
This research purposes is to apply psychological knowledge into an app which can
be accessed from mobile app and makes self report about thinking style
classification to user, therefore give user psychological welfare. This research was
conducted based on Rapid Application Development framework, with mobile
apps based system using Unity Engine 3D Framework. The app result was tested
and analyzed with functional test using Black Box Equivalence Partitioning
method and non functional test using Convenience Sampling questionnaire. The
result of functional test showed the App function correctly. Non functional test
result showed Socialyze App is under “Good” category with average score 77.3%.
Keywords: Thinking Style Measure, Human Psychology, Self Report, Quiz
Game Mobile Apps. 1217051043 MUHAMMAD RAHMAN KOESTANTO-