Suarnala: Chatbot Berbasis Web Sebagai Dukungan Awal Gangguan Kesehatan Mental Remaja

Saffiyah, Devy Relliani (2026) Suarnala: Chatbot Berbasis Web Sebagai Dukungan Awal Gangguan Kesehatan Mental Remaja. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5026221189-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (9MB) | Request a copy

Abstract

Kesehatan mental merupakan bagian vital dalam kesejahteraan manusia agar dapat berfungsi secara optimal. Namun, gangguan kesehatan mental telah menjadi krisis global, di mana 970 juta orang hidup dengan gangguan tersebut, dan remaja menjadi salah satu populasi yang paling rentan. Di Indonesia, Riset Kesehatan Dasar mencatat peningkatan prevalensi gangguan mental emosional pada penduduk berusia 15 tahun ke atas dari 6,0% pada tahun 2013 menjadi 9,8% pada tahun 2018. Sementara itu, Indonesia - National Adolescent Mental Health Survey (I-NAMHS) menemukan bahwa satu dari tiga remaja berusia 10 sampai 17 tahun (34,9%) memiliki setidaknya satu gangguan kesehatan mental dalam 12 bulan terakhir. Masalah ini dipicu oleh hubungan keluarga yang buruk, tekanan akademik, konflik spiritualitas, serta tekanan sosial, dan diperparah oleh rendahnya pemanfaatan layanan kesehatan mental profesional akibat kendala geografis, biaya, stigma, dan kurangnya dukungan. Untuk mengatasi permasalahan tersebut, penelitian ini mengembangkan Suarnala, sebuah chatbot berbasis web sebagai sarana dukungan awal kesehatan mental bagi remaja madya di Indonesia. Chatbot ini berfokus pada isu depresi, self-harm, gangguan makan, dan gangguan tidur, serta dirancang untuk memenuhi kebutuhan informasional, edukasional, dan terapeutik awal pengguna tanpa menggantikan layanan profesional. Hasil evaluasi menunjukkan skor RAGAS melampaui target minimum 0,70, validasi psikolog memperoleh skor rata-rata 3,6/4,0 dengan dua respons self-harm yang direvisi dan telah dikonfirmasi kembali, serta usability testing terhadap 142 responden memperoleh skor CUQ 81,1 ± 13,6 dengan median 82,8. Hasil ini menunjukkan bahwa chatbot ini diterima secara positif sebagai dukungan awal kesehatan mental remaja, meskipun masih memerlukan pengembangan pada cakupan pengetahuan, kecepatan respons, tampilan antarmuka, dan pemahaman masukan pengguna.
====================================================================================================================================
Mental health is a vital aspect of human well-being, essential for optimal functioning. However, mental health disorders have emerged as a global crisis affecting 970 million people, with adolescents representing one of the most vulnerable populations. In Indonesia, the Basic Health Research (Riset Kesehatan Dasar) recorded an increase in the prevalence of emotional mental disorders among individuals aged 15 and older, rising from 6.0% in 2013 to 9.8% in 2018. Meanwhile, the Indonesia - National Adolescent Mental Health Survey (I-NAMHS) revealed that one in three adolescents aged 10 to 17 (34.9%) experienced at least one mental health disorder within the past 12 months. This condition is triggered by poor family relationships, high academic pressure, conflicts related to spirituality, and social pressure, and is exacerbated by the low utilization of professional mental health services due to geographic constraints, costs, stigma, and lack of support. To address these challenges, this study develops Suarnala, a web-based chatbot as an initial mental health support tool for middle adolescents in Indonesia. The chatbot focuses on depression, self-harm, eating disorders, and sleep disorders, and is designed to meet users' initial informational, educational, and therapeutic needs without replacing professional services. The evaluation results show that RAGAS scores exceeded the minimum target of 0.70, psychologist validation achieved an average score of 3.6/4.0 with two self-harm responses revised and later reconfirmed, and usability testing with 142 respondents achieved a CUQ score of 81.1 ± 13.6 with a median of 82.8. These results indicate that this chatbot was positively received as an early mental health support tool for adolescents, although improvements are still needed in knowledge coverage, response speed, interface design, and user input understanding.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Chatbot, Kesehatan Mental, Remaja, Rapid Application Development (RAD), Retrieval-Augmented Generation (RAG). Adolescents, Chatbot, Mental Health, Rapid Application Development (RAD), Retrieval-Augmented Generation (RAG).
Subjects:	Q Science > QA Mathematics > QA76.758 Software engineering
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 57201-(S1) Undergraduate Thesis
Depositing User:	Devy Relliani Saffiyah
Date Deposited:	28 Jul 2026 07:30
Last Modified:	28 Jul 2026 07:30
URI:	http://repository.its.ac.id/id/eprint/138963

Actions (login required)

View Item