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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Jurnal Teknik Komputer AMIK BSI Paradigma Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System JIEET (Journal of Information Engineering and Educational Technology) Informatics for Educators and Professional : Journal of Informatics Jurnal Teknik Informatika UNIKA Santo Thomas Journal of Information System, Applied, Management, Accounting and Research Journal of Computer System and Informatics (JoSYC) Jurnal Kajian Ilmiah Jurnal Sistem Informasi Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System
Entin Sutinah, Entin
Universitas Bina Sarana Informatika
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Sistem Pakar Berbasis Whatsapp Bot Dengan Metode Forward Chaining Untuk Diagnosis Dini Gangguan Mental Pada Perkembangan Anak Fadhilah, Rayhan; Revansa , Muhammad Fahri; Fakhriza, Giffari Ahmad; Sutinah, Entin; Kusumo, Aryo Tunjung
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/4b27ra56

Abstract

Mental disorders in children can hinder their development if not detected early. Limited public awareness and a shortage of professionals often lead to undiagnosed cases. This study developed an expert system based on a WhatsApp Bot using the Forward Chaining method to support early diagnosis of children's mental disorders. Built with Node.js and MySQL, the system can identify seven types of disorders: ADHD, anxiety, depression, autism, OCD, eating disorders, and PTSD. Black box testing showed the system functions well and provides accurate results. It is expected to assist parents and educators in early detection and awareness of mental health issues in children.
Co-Authors Achmad Baroqah Pohan Agustina , Nani Andi Setiawan Andre Gusti Hermawan Anwar , Rian Septian Asmoro, Randi Ashar Azima, Gustiyasyah Nurul Bangkit Anugrah Putra Barkah, Novalia Eni Heni H Eni Heni Hermaliani Fadhilah, Rayhan Fakhriza, Giffari Ahmad Gustiyasyah Nurul Azima Ibnu Alfarobi Imaduddin, Encep Fahmi Khoirun Nisa Kusumo, Aryo Tunjung Lina Rosina Limbong Martini Martini Martini Martini Martini Mega Priyanto Moch.Arif Wicaksono Nani Agustina Nani Agustina Nani Agustina - AMIK BSI Jakarta, Nani Agustina Nico Hermanto Novalia Barkah Odilia Rosdiana Simamora Redi Nurhidayat Revansa , Muhammad Fahri Reza Trimahardhika Rian Septian Anwar Riza Syahrial Rizal Gustiar Sandra Regina Syarif Hidayatulloh Sya’Roni