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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Ketahanan Nasional CESS (Journal of Computer Engineering, System and Science) Journal of Information Technology and Computer Science (JOINTECS) MUST: Journal of Mathematics Education, Science and Technology Jiko (Jurnal Informatika dan komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya JSAI (Journal Scientific and Applied Informatics) Jurnal Kridatama Sains dan Teknologi JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat SKANIKA: Sistem Komputer dan Teknik Informatika PROFICIO: Jurnal Pengabdian Masyarakat Journal of Advanced Sciences and Mathematics Education Jurnal Agroteknologi Jurnal Pengabdian Masyarakat Bhinneka Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Abdibaraya: Jurnal Pengabdian Masyarakat Media Kesehatan Politeknik Kesehatan Makassar JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Riau Jurnal Teknik Informatika
Muflih, Ghufron Zaida
Universitas Ma'arif Nahdlatul Ulama Kebumen, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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SISTEM PAKAR DIAGNOSA DEPRESI MAHASISWA TINGKAT AKHIR MENGGUNAKAN METODE CERTAINTY FACTOR Maliyah, Rohani; Muflih, Ghufron Zaida
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.5085

Abstract

Abstract: Final-year students are vulnerable to mental health issues, particularly depression, due to various complex problems such as academic demands, life transitions after graduation, social isolation, and economic factors. However, the lack of counseling services on campus poses a barrier to the early diagnosis of depression. This study aims to design and develop a web-based expert system using the Certainty Factor method to diagnose depression levels in final-year students from the 2018 to 2020 cohorts at Ma’arif Nahdlatul Ulama University of Kebumen. The research applies a Research and Development (R&D) approach, utilizing the Certainty Factor as the basis for the decision-making system. Symptom data were collected through expert interviews and literature review, then implemented into a web-based expert system built using the PHP programming language and CodeIgniter framework. The system was tested on 40 students using stratified random sampling. The test results showed that the system achieved an accuracy rate of 100% compared to expert diagnoses. User evaluation yielded a System Usability Scale (SUS) score of 82.67% (Excellent category) and a Likert scale assessment result of 83.02% (Very Good category). Based on these results, the developed expert system is considered feasible to be used as an early detection tool for depression in final-year students and has the potential to support preventive efforts and mental health assistance services within the campus environment. Keyword: Certainty Factor, Depression, Expert System, Final-Year Students, Mental Health. Abstrak: Mahasiswa tingkat akhir rentan mengalami gangguan kesehatan mental khususnya depresi, karena menghadapi masalah yang cukup kompleks, diantaranya tuntutan akademik, transisi kehidupan setelah lulus, isolasi sosial dan faktor ekonomi. Namun, dengan tidak adanya layanan konseling bagi mahasiswa menyebabkan hambatan dalam proses diagnosa gangguan depresi. Penelitian ini bertujuan untuk merancang dan membangun sistem pakar berbasis web menggunakan metode Certainty Factor guna mendiagnosa tingkat depresi pada mahasiswa tingkat akhir angkatan 2018 hingga 2020 di Universitas Ma’arif Nahdlatul Ulama Kebumen. Penelitian ini menggunakan pendekatan Research and Development (R&D) dengan metode Certainty Factor sebagai dasar sistem pengambilan keputusan. Data gejala diperoleh melalui wawancara pakar dan studi literatur, kemudian diterapkan ke dalam sistem pakar berbasis web yang dibangun dengan bahasa pemrograman PHP menggunakan framework CodeIgniter dan diuji kepada 40 mahasiswa dengan teknik stratified random sampling. Hasil pengujian terhadap 40 mahasiswa menunjukkan sistem memiliki tingkat akurasi sebesar 100% terhadap hasil diagnosa pakar. Penilaian pengguna terhadap sistem dengan skor System Usability Scale (SUS) sebesar 82.67% (kategori Excellent), dan penilaian skala likert sebesar 83.02% (kategori Sangat Baik). Berdasarkan hasil tersebut, sistem pakar yang dibangun dinyatakan layak digunakan sebagai alat bantu deteksi dini gangguan depresi pada mahasiswa tingkat akhir, serta berpotensi mendukung upaya preventif dan layanan pendampingan kesehatan mental di lingkungan kampus. Kata kunci: Certainty Factor, Depresi, Kesehatan Mental, Mahasiswa Tingkat Akhir, Sistem Pakar
Co-Authors Ageng Restu Triyanto Ahmad Zaeni Dahlan Akhyasi, Ulfiah Alim, M Abdul Rohman Anggoro, Tri Annisa, Hidayati Anton Yudhana Anton Yudhana Aprilia Wahyuning Fitri Ardiansah, Rifki Arina Dwi Cahyani Dewi, Adinda Putri Sari Dimas Fernanda Endang Wahyuningsih Endang Wahyuningsih Fachri, Fahmi Fadjeri, Akhmad Fahmi Fachri, Fahmi Fachri Fathan, Teuku Faisal Fatmawati, Nurlaila Febrianti, Ismaya Fersellia, Fersellia Fina Hanifa Hidayati Himawan I Azmi Iis Nurlaeli Imam Riadi Indah Octa Permatasari Kafiyatul Khulasoh Khabib Nasrulloh Khasan, Fahmi Lutfiyani, Anisa Ma'mun, Ahmad Sukron Maliyah, Rohani Mubarok, Alwi Muhammad Ilham Sayogi Ngarofatun Nikmah Nugroho, Mei Aldi Nugroho, Rahmat Joko Nurchayati, Anisa Dwi Oktvaiani, Anis Putra, Adam Nusa Rifki Ardiansah Rizki Mubarok Rosidin Saputra, Nur Rukhan Siti Sangadah Subarkah, Melani Damaiyati Subekti, Jelang Alifah Ismi Sunardi, Sunardi Susmiyanto, Susmiyanto Suyatiningsih, Suyatiningsih Taufik Hidayat Teuku Faisal Fathani Tofik, Akhsan Tri Astuti umi barokah umi laelatul qomar Wahyu Wilopo Wildan Luktiandi Zuhdi, Rasyid