Aplikasi Mobile Pendeteksi Gangguan Mental Mahasiswa dengan Menggunakan Metode Forward Chaining
Keywords:
Mobile, Mental Disorder, Forward ChainingAbstract
Mobile device technology (mobile) is one of the most widely used communication and information devices in March 2020 as many as 55.43% of mobile device users and the number of mobile device users will continue to rise leaving the desktop over time. Mental disorders in modern times are increasingly becoming a serious problem in society. Most of the incidents of suicide are related to mental-emotional disorders. Decision Support System (DSS) or Decision Support System (DSS) is a system capable of providing problem solving capabilities. Forward chaining is a method of DSS that uses an inference engine and can be described logically as an iterative application of the modus ponens. The purpose of this study is to build a student mental disorder detector mobile application using the forward chaining method. This research discusses from system design, application implementation to application testing. The results of this study are a trial result and an informative mobile application and of course able to detect mental disorders of students.
References
Clement, J. 2020. Number of available applications in the Google Play Store from December 2009 to September 2020. [Online]. Tersedia di https://www.statista.com/statistics/266210/number- of-available-applications-in-the-google-play-store. [Accessed 30
Maret 2020]
Kementrian Kesehatan Republik Indonesia. Hasil Riset Kesehatan Dasar (Riskesdas) 2018. [Online]. Tersedia di https://www.kemkes.go.id/resources/download/info-terkini/hasil- riskesdas-2018.pdf. [Accessed 7 Januari 2020]
Turban, E., & Aronson, J. E. (2001). Decision Support Systems and Intelligent Systems (6th Edition). Upper Saddle River, NJ: Prentice Hall.
Khawarizmi, I. N., Triayudi, A., & Sholihati, I. D. (2020). Diagnosa Depresi Pada Mahasiswa Menggunakan Metode Certainty Factor Dan Forward Chaining. Inti Nusa Mandiri.
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Copyright (c) 2021 Arunseto Pambudi, Siti Aminah, Bagus Kristomoyo Kristanto
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