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Herdiansah, Arief
Universitas Muhammadiyah Tangerang
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Journal : Bulletin of Computer Science Research

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Sistem Pakar Diagnosis Mood Disorder Pada Anak Menggunakan Pendekatan Dempster-Shafer Theory Priyangan, Donny Muda; Herdiansah, Arief; Mulyana, Iwan; Nurhayati
Bulletin of Computer Science Research Vol. 4 No. 6 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i6.374

Abstract

Mood disorders in children are a serious mental health issue that can have long-term impacts on their emotional, social, and academic development. In Indonesia, the limited availability of mental health professionals, especially in remote areas, hinders the process of fast and accurate diagnosis. Manual diagnosis of mood disorders in children often faces challenges in terms of time, resources, and professional expertise, creating a need for an effective solution to support medical practitioners. This research aims to develop a web-based expert system to detect mood disorders in children using the Dempster-Shafer Theory (DST) approach. DST is chosen as the primary method due to its ability to process ambiguous or incomplete information, enabling the integration of multiple pieces of evidence to generate accurate decisions. The system allows users to perform diagnoses based on input symptoms, accompanied by analysis results and follow-up recommendations. The expert system is developed as a web-based platform to optimize accessibility, allowing users to easily carry out the diagnosis process without time and location constraints. Evaluation of the system shows an accuracy rate of 92.5%, validating the effectiveness of DST in mood disorder diagnosis. This research contributes to supporting early detection of children's mental health issues and facilitates the identification of mood disorders based on the symptoms experienced.
Co-Authors Adi Gunawan, Adi Agung Wibowo Ahmad Fauzan Ahmad, Shieva Nur Azizah Alamsyah, Dedy Alfan Kurniawan Alfry Aristo Jansen Sinlae Ali Firdaus Ali Firdaus Alifah Alifah Alifah Alifah Angga Aditya Permana Arif Sulaeman, Arif Arisantoso Arisantoso Baehaqi Budiyanto, Asri Bukhori, Syaiful Cholid, Habib Nur Daniarti, Yeni Destriana, Rachmat Dwi Atmodjo WP Dyas Yudi Priyanggodo Elsya Yunita Erni Rahmawati Faiz Muqorrir Kaaffah Faridi Faridi Faridi Fauyhi Eko Nugroho Febriana Wulandani Febriyanti, Indah Fitriawati, Nora Frithadila, Najmah Hariyani, Nofitri Hengki Rusdianto Herryansyah, Herryansyah Husain, Syepry Maulana Ibrahim, Maulana Jefry Arizky Joko Dewanto Jonni, Muhammad Liesnaningsih, Liesnaningsih Mabrur, Nur Shobi Mahpud, Mahpud Marlia Purnamasari, Marlia Mayatopani, Hendra Muhammad Ikhsan Hafianto Muhammad Irfan Muhammad Nabil Yafi Najmuddin Najmuddin Najmuddin, Najmuddin Nanda, Indra Nofitri Heriyani Nora Fitriawati Nora Fitriawati Nugroho, Tomi Nur Suci Ramadhanty Nurdiana Handayani Nurhayati nurnaningsih, Desi Pamungkas, Ilham Surya Putra Pratama, Radya Adhi Prianggodo, Dyas Yudi Prima Astuti Handayani Priyangan, Donny Muda Priyanggodo, Dyas Yudi Pujangkoro, Titah Puji Santoso Ri Sabti Septarini Ridwan Ramadhan Ristasari Dwi Septiana Rohmat Indra Borman Rohmat Taufiq Rosdiana Rosdiana Roso, Agung Cipto Rosyid Ridlo Al-Hakim Rusdianto, Hengki Saifullah, Ahmad Septarini, Ri Sabti Siti Fatimah Zamrotul Jannah Siti Fauziyah Soares, Teotino Gomes Sofyan Sofyan Soleh, Adnan Izzulhaq Sonia Maylinda Sopandi, Ajang Sri Mulyati Sudaryono Sudaryono Sudaryono Sudaryono Sya’bana, Nurcholis Ali Syepry Maulana Husain Tuti Handayani Wijaya, Hamid Wijayanti, Rima Rizqi Yani Sugiyani Yani Sugiyani Yani Sugiyani, Yani Yanuardi Yanuardi Yogi, Mohammad Zulham, Zulham