Sistem pakar deteksi dini kesehatan mental mahasiswa dengan metode Forward Chaining

Alvi Zumaela Izdiana; Tikaridha Hardiani

doi:10.24246/aiti.v23i1.117-133

Authors

Alvi Zumaela Izdiana Universitas 'Aisyiyah Yogyakarta
Tikaridha Hardiani Universitas 'Aisyiyah Yogyakarta

DOI:

https://doi.org/10.24246/aiti.v23i1.117-133

Keywords:

expert system, mental health, college student, forward chaining, ESDLC

Abstract

Mental health is a crucial aspect that significantly influences individuals' daily lives. Data from the 2023 mental health screening conducted by the Psychology Service Bureau (BLP) of Universitas 'Aisyiyah Yogyakarta showed that 16.8 percent of students experienced indications of mental health disorders out of a total of 857 participants. The screening process was conducted using Google Forms. However, this method has several limitations, particularly the inability to directly assess mental health status or provide immediate feedback to participants after completing the screening. Students may not receive timely information regarding their mental condition or recommendations for further action. This study aims to develop a web-based expert system that uses the Forward-Chaining method to determine a person's mental condition. The system is developed using Expert System Development Life Cycle (ESDLC), which includes knowledge acquisition, system design, implementation, and testing stages. After functional and accuracy testing, the results indicate that the system is ready for use, achieving 100 percent accuracy in detecting indicators of mental health issues among college students.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

S. Aloysius dan N. Salvia, “Analisis Kesehatan Mental Mahasiswa Perguruan Tinggi X Pada Awal Terjangkitnya Covid-19 di Indonesia,” Jurnal Citizsh. Virtues, vol. 1, no. 2, hlm. 83–97, Sep 2021, doi: 10.37640/jcv.v1i2.962. DOI: https://doi.org/10.37640/jcv.v1i2.962

H. Dafitrii dan S. Sundari Stth, “Sistem Pakar Mendeteksi Tingkat Stres Mahasiswa Harapan Dalam Penyusunan Skripsi Teknik Informatika Dengan Menggunakan Metode Teorema Bayes,” SYNTAX, vol. 2, no. 2, hlm. 165–171, Jan 2022, doi: 10.46576/syntax.v2i2.1678. DOI: https://doi.org/10.46576/syntax.v2i2.1678

T. S. Pratama dan A. A. Soebroto, “Sistem Pakar untuk Deteksi Dini Tingkat Depresi Mahasiswa menggunakan Metode Support Vector Machine (Studi Kasus: Fakultas Ilmu Komputer Universitas Brawijaya),” JPTIIK, vol. 6, no. 1, 2022.

M. R. Maulana, “Sistem Pakar Untuk Mengukur Tingkat Depresi Mahasiswa Menggunakan Metode Fuzzy Sugeno,” OCEAN ENGINEERING, vol. 2, no. 1, 2023. DOI: https://doi.org/10.58192/ocean.v2i1.667

D. Wahyuni dan D. Winarso, “Penerapan Metode Rule Based Reasoning Dalam Sistem Pakar Deteksi Dini Gangguan Kesehatan Mental Pada Mahasiswa,” SEIS, vol. 2, no. 2, Des 2021, doi: 10.37859/seis.v2i2.3991. DOI: https://doi.org/10.37859/seis.v2i2.3991

I. Nurhafiyah dan H. Marcos, “Sistem Pakar Diagnosis Kesehatan Mental Pada Mahasiswa Universitas AMIKOM Purwokerto,” KOMPUTA, vol. 12, no. 1, hlm. 49–56, Mei 2023, doi: 10.34010/komputa.v12i1.8978. DOI: https://doi.org/10.34010/komputa.v12i1.8978

S. Sapriadi, N. Hayati, A. Eko Syaputra, Y. Septi Eirlangga, K. H. Manurung, dan N. Hayati, “Sistem Pakar Diagnosa Gaya Belajar Mahasiswa Menggunakan Metode Forward Chaining,” jidt, vol. 5, no. 3, hlm. 71–78, Okt 2023, doi: 10.60083/jidt.v5i3.381. DOI: https://doi.org/10.60083/jidt.v5i3.381

E. P. Silmina dan T. Hardiani, “Perancangan Sistem Pakar Penyakit Pneumonia Pada Balita Menggunakan Algoritme K-NN (K-Nearest Neighbor),” pseudocode, vol. 5, no. 2, hlm. 56–63, Nov 2018, doi: 10.33369/pseudocode.5.2.56-63. DOI: https://doi.org/10.33369/pseudocode.5.2.56-63

S. Hartati, Kecerdasan Buatan Berbasis Pengetahuan. Gajah Mada University Press, 2021. [Daring]. Tersedia pada: https://www.google.co.id/books/edition/Kecerdasan_Buatan_Berbasis_Pengetahuan/cnlREAAAQBAJ?hl=en&gbpv=1&dq=sistem+pakar&pg=PA52&printsec=frontcover

L. Marlinda, Sistem Pakar Perancangan dan Pembahasan; Metode Chaining, Certainty Factor, Fuzzy Logik, vol. 1. Graha Ilmu, 2021.

E. P. Silmina, T. Hardiani, dan B. Robi’in, “Perancangan Sistem Pakar Diagnosis Penyakit Diabetes Melitus Gestasional Pada Ibu Hamil Menggunakan Fuzzy Mamdani,” 2020.

T. Hardiani dan E. P. Silmina, “Perancangan Sistem Pakar Penyakit Rhinofaringitis Akut (RFA) Pada Anak Berbasis Perangkat Android Menggunakan K-NN (K-Nearest Neighbor),” Transmisi, vol. 21, no. 3, hlm. 90, Agu 2019, doi: 10.14710/transmisi.21.3.90-95. DOI: https://doi.org/10.14710/transmisi.21.3.90-95

T. Alfianto dan B. Anu, “Aplikasi Diagnosa Dini Penyakit Tuberculosis Dengan Menggunakan Metode Certainty Factor,” AITI, vol. 15, no. 2, hlm. 121–127, Okt 2018, doi: 10.24246/aiti.v15i2.121-127. DOI: https://doi.org/10.24246/aiti.v15i2.121-127

H. Mayatopani, R. Subekti, N. Yudaningsih, dan M. Sanwasih, “Pengembangan Sistem Pakar Diagnosa Gangguan Mental dengan Mesin Inferensi Menggunakan Algoritma Dempster-Shafer Theory,” JBI, vol. 13, no. 1, hlm. 66–76, Apr 2022, doi: 10.24002/jbi.v13i1.5568. DOI: https://doi.org/10.24002/jbi.v13i1.5568

D. D. Kurnia, “Sistem Pakar Untuk Mendiagnosa Gangguan Kesehatan Mental Menggunakan Algoritma Genetika,” JATISI, vol. 8, no. 3, hlm. 1171–1187, Sep 2021, doi: 10.35957/jatisi.v8i3.1079. DOI: https://doi.org/10.35957/jatisi.v8i3.1079

N. P. Nopi, Musthafa Haris Munandar, Feri Irawan, dan Januardi Rosyidi Lubis, “Sistem Pakar Mendiagnosa Gangguan Mental pada Diri Seseorang Mengunakan Metode Certainty Factor,” J. Appl. Comput. Sci. Technol., vol. 3, no. 1, hlm. 157–162, Jun 2022, doi: 10.52158/jacost.v3i1.307. DOI: https://doi.org/10.52158/jacost.v3i1.307

A. NurJumala, N. A. Prasetyo, dan H. W. Utomo, “Sistem Pakar Diagnosis Penyakit Rhinitis Menggunakan Metode Forward Chaining Berbasis Web,” Jur. Ris. Kom., vol. 9, no. 1, hlm. 69, Feb 2022, doi: 10.30865/jurikom.v9i1.3815. DOI: https://doi.org/10.30865/jurikom.v9i1.3815

C. Indrasmara, “Aplikasi Sistem Pakar Deteksi Penyakit THT Pada Anak-Anak Menggunakan Metode Forward Chaining,” SNT, vol. 3, no. 1, hlm. 1–9, Jan 2023, doi: 10.58794/santi.v3i1.232. DOI: https://doi.org/10.58794/santi.v3i1.232

D. Kurniadi, A. Mulyani, dan S. Rahayu, “Implementasi Metode Forward Chaining Pada Sistem Pakar Diagnosis Keperawatan Penyakit Stroke Infark,” AITI, vol. 17, no. 2, hlm. 104–117, Feb 2021, doi: 10.24246/aiti.v17i2.104-117. DOI: https://doi.org/10.24246/aiti.v17i2.104-117

F. Sadza Wardani, S. Lestanti, dan M. T. Chulkamdi, “Application Of Forward Chaining To Identify The Negative Impact Of Online Game Addiction On Mental Health And Adolescent Behavior,” antivirus, vol. 16, no. 2, hlm. 168–179, Nov 2022, doi: doi.org/10.35457/antivirus.v16i2.2459. DOI: https://doi.org/10.35457/antivirus.v16i2.2459

R. E. Wulansari, R. Sakti, A. Ambiyar, M. Giatman, N. Syah, dan W. Wakhinuddin, “Expert System For Career Early Determination Based On Howard Gardner’s Multiple Intelligence,” JAETS, vol. 3, no. 2, hlm. 67–76, Jun 2022, doi: 10.37385/jaets.v3i2.568. DOI: https://doi.org/10.37385/jaets.v3i2.568

A. Mulyani, D. Kurniadi, M. Ahmad, dan D. D. S. Fatimah, “Expert system development for homeopathy medicine,” Materials Science and Engineering, 2021, doi: doi:10.1088/1757-899X/1098/3/032058. DOI: https://doi.org/10.1088/1757-899X/1098/3/032058

D. D. S. Fatimah, Y. Septiana, dan G. Ramadhan, “Rancang Bangun Aplikasi Sistem Pakar Diagnosa Penyakit Stunting Berbasis Web Menggunakan Metode Certainty Factor,” Jurnal Algoritma, vol. 19, no. 2, hlm. 547–557, Nov 2022, doi: 10.33364/algoritma/v.19-2.1144. DOI: https://doi.org/10.33364/algoritma/v.19-2.1144

P. S. Ramadhan dan U. Fatimah, Mengenal Metode Sistem Pakar, Fungky., vol. 1. Uwais Inspirasi Indonesia, 2018. [Daring]. Tersedia pada: https://books.google.co.id/books?id=lYV_DwAAQBAJ&printsec=frontcover#v=onepage&q&f=false

N. Nurdin, E. Susanti, H. A.-K. Aidilof, dan D. Priyanto, “Comparison of Naive Bayes and Dempster Shafer Methods in Expert System for Early Diagnosis of COVID-19,” matrik, vol. 22, no. 1, hlm. 215–228, Nov 2022, doi: 10.30812/matrik.v22i1.2280. DOI: https://doi.org/10.30812/matrik.v22i1.2280