Tolla, Demitries Baskhara Rivaldo (2025) PENERAPAN DIAGNOSA DEPRESI PADA MAHASISWA MENGGUNAKAN FORWARD CHAINING DAN CERTAINTY FACTOR BERDASARKAN MINI ICD - 10. Skripsi thesis, UPN Veteran Yogyakarta.
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Abstract
ABSTRAK
Depresi merupakan salah satu gangguan kesehatan mental yang sering tidak terdeteksi
akibat keterbatasan akses terhadap layanan psikolog profesional. Penelitian ini bertujuan
untuk mengembangkan sistem pakar berbasis web guna membantu deteksi awal gejala
depresi pada mahasiswa berusia 18–24 tahun. Sistem ini menggabungkan metode Forward
Chaining untuk penarikan kesimpulan berbasis aturan dengan metode Certainty Factor
(CF) dalam menghitung tingkat keyakinan terhadap hasil diagnosa. Pernyataan dalam
sistem didasarkan pada kuesioner MINI ICD-10 sebagai acuan diagnostik. Dengan
menggabungkan kedua metode ini, sistem mampu mengidentifikasi potensi enam jenis
gangguan mental: episode depresif, distimia, episode manik, agorafobia, gangguan panik,
dan fobia sosial. Pengujian sistem menggunakan metode white-box dan black-box
menunjukkan bahwa sistem berfungsi dengan baik. Meskipun sistem ini dapat memberikan
gambaran awal kondisi psikologis, hasilnya tidak dimaksudkan sebagai pengganti
diagnosis profesional. Sistem ini dirancang untuk meningkatkan kesadaran dan menjadi
panduan awal menuju penanganan kesehatan mental yang lebih tepat.
Kata kunci : Sistem Pakar, Diagnosis Depresi, Forward Chaining, Certainty Factor, MINI
ICD-10, Kesehatan Mental, Aplikasi Berbasis Web
VII
ABSTRACT
Depression is a common mental health condition that often goes undiagnosed due to
limited access to professional psychological services. This research aims to develop a
web-based expert system to assist in the early detection of depression symptoms in
university students aged 18–24. The system integrates the Forward Chaining method for
rule-based inference with the Certainty Factor (CF) technique to calculate the confidence
level of each diagnosis. The MINI ICD-10 questionnaire serves as the foundation for
diagnostic criteria. By combining these methods, the system can determine the potential
presence of six types of mental disorders: depressive episodes, dysthymia, manic episodes,
agoraphobia, panic disorders, and social phobia. System testing using both white-box and
black-box methods confirms its functional accuracy. Although this tool provides an initial
assessment of mental health conditions, it is not a replacement for professional diagnosis.
Instead, it aims to increase awareness and serve as a preliminary guide toward seeking
appropriate mental health support.
Keyword : Expert System, Depression Diagnosis, Forward Chaining, Certainty Factor,
MINI ICD-10, Mental Health, Web-based Application
VIII
| Item Type: | Tugas Akhir (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Expert System, Depression Diagnosis, Forward Chaining, Certainty Factor, MINI ICD-10, Mental Health, Web-based Application |
| Subjek: | Z Bibliography. Library Science. Information Resources > ZA Information resources |
| Divisions: | Fakultas Teknik Industri > (S1) Informatika |
| Depositing User: | Eko Yuli |
| Date Deposited: | 07 Oct 2025 02:16 |
| Last Modified: | 07 Oct 2025 02:16 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/44102 |
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