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All Journal CESS (Journal of Computer Engineering, System and Science) SMATIKA JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Mantik INTI Nusa Mandiri Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdimas Bina Bangsa J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi)
Ira Diana Sholihati
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : INTI Nusa Mandiri

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DIAGNOSA DEPRESI PADA MAHASISWA MENGGUNAKAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING Ibnu Nur Khawarizmi; Agung Triayudi; Ira Diana Sholihati
INTI Nusa Mandiri Vol 14 No 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1173

Abstract

Many person are not aware of the dangers of depression. It's hard to know the symptoms and overcome depression early on. In this case adolescents are the most vulnerable to the disease because at that time humans are in a transition phase from childhood to adulthood. WHO says every second there is a case of suicide due to severe depression. Based on these cases the researchers aimed to make an application to help the community, especially students, to be able to recognize and diagnose depression from an early age. The system in this application is an expert system using the Certainty Factor and Forward Chaining method. Inputs received by this application are biodata and psychological questions about the symptoms experienced by the user. The resulting output is the diagnosis, as well as the percentage of possible diseases suffered by user.
Co-Authors Aceng Supriyadi Achmad Syirod Aditya Pratama Agung Triayudi Ahmad Avivanto Andriansyah Utomo Anhar Hawari Bagus Widiyanto Cintya Damayanti Della Diniyati Dewi Janetta Az Zahra Dimas Fathulyaqin Dwi Yulian Rizki Saputra Fadhil Muhammad Supriyanto Fauziah Fauziah Ibnu Nur Khawarizmi irfan muttaqim Iskandar Fitri Ismi Naili Qurrotul Aini Lili Dwi Yulianto Melati Indah Petiwi Mochammad Januar Finandi Moh Dani Ariawan Mohammad Iwan Wahyuddin Muhamad Iqbal Wasta Purnama Muhammad Andhika Maulana Muhammad Jordy Muhammad Rizki Zidan Nur Hayati Pramesti Sifa Aisya Nuha Rafi Syahputra Ratih Mardianti Resa Wahyu Adi Pujianto Rian Tineges Rima Tamara Aldisa Rio Al Dzahabi Yunas Riska Setiawati Rizki Pebrian Septi Andryana Seza Rifsahadi Anugrah Sita Widad Muqsithoh Syavira Cahyaningsih Tasya Khaerani Janubiya Tika Aenun Nadila Ucuk Darusalam Ucup Maulana Vivimaryati Vivimaryati Yana Tania Haryanto Yudhi Setiawan