Perpaduan Metode Certainty Factor dan Forward Chaining untuk Menentukan Tingkat Stres Mahasiswa Tingkat Akhir Berbasis Android
DOI:
https://doi.org/10.35870/jtik.v5i3.218Keywords:
Android, Certainty Factor, Forward Chaining, Final Year Students, Expert System, StressAbstract
Students who are taking the final semester are students who are completing all their subjects, can take the final project provided they have met the number of credits set to obtain a bachelor's degree. In the process of making a final project, students are required to complete it within a predetermined time, this demand causes students to be depressed, causing stress that affects them in completing their final project and study period. Based on this problem, an Expert System Application was made to Diagnose Stress Levels in Final Year Students by Combining Certainty Factor Methods and Android-Based Forward Chaining Techniques to find out more clearly the level of stress experienced by final year students. The results of the diagnosis on the expert system application and the results of manual calculations on one of the data which is representative of the 200 student data, which produce the same level of confidence, each of which produces a confidence level of 97.97% and was diagnosed with mild stress.
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References
Rena, S., 2019. Mekanisme Respon Stres: Konseptualisasi Integrasi Islam Dan Barat. Psikis: Jurnal Psikologi Islami, 5(1), pp.48-61.
Mahmud, R. and Uyun, Z., 2017. Studi Deskriptif Mengenai Pola Stress pada Mahasiswa Praktikum. Indigenous: Jurnal Ilmiah Psikologi, 1(2).
Supiandi, A. and Chandradimuka, D.B., 2018. Sistem Pakar Diagnosa Depresi Mahasiswa Akhir Dengan Metode Certainty Factor Berbasis Mobile. Jurnal Informatika, 5(1), pp.102-111.
Iswanti, S., 2018. Alat Bantu Pengidentifikasi Tingkat Stres Mahasiswa Yang Sedang Mengerjakan Tugas Akhir/skripsi. Jurnal Informatika Upgris, 4(1).
Sasmito, N.I., 2018. Implementasi Metode Certainty Factor Dalam Sistem Pakar Tekanan Psikologi (Studi Kasus: Mahasiswa Prodi Sistem Informasi Unikom) (Doctoral dissertation, Universitas Komputer Indonesia).
A. Mirzapour., 2019. A Psychology Expert System to Determine the Level of Stress in Subjects,†vol. 1, no. 2, pp. 1–5.
Garcia Ceja, E., Osmani, V. and Mayora Ibarra, O.A., 2015. Automatic Stress Detection in Working Environments from Smartphonestextquoteright Accelerometer Data: A First Step.
Persulessy, G.B.V., Pratama, N.S., Setiawan, N. and Sevani, N., 2019. Web-Based Expert System to Detect Stress on College Students. ComTech: Computer, Mathematics and Engineering Applications, 10(1), pp.9-14.
Cha, A.P. and Romli, A., 2010. Human-computer interaction of design rules and usability elements in expert system for personality-based stress management. International Journal of Intelligent Computing Research (IJICR), 1(1/2), pp.33-42.
Hadisuryanto, A. and Kardian, A.R., 2017. Sistem Pakar Untuk Mengukur Tingkat Stres Pada Mahasiswa Tingkat Akhir Dengan Metode Forward Chaining Berbasis Web. Jurnal Ilmiah KOMPUTASI, 15(2).
Muchlis, L. and Putra, F.K., 2019, December. Expert System Model of Forward and Backward Chaining Methods to Detect Student Academic Stress Level. In International Conference on Psychology, Education and Mental Health (pp. 88-93). Sciendo.
Simamora, R., 2017. Aplikasi Sistem Pakar Untuk Memeriksa Tingkat Stres Individu. Jurnal TIMES, 6(2), pp.58-68.
Wahid, W., Nurcahyo, G.W. and Sumijan, S., 2020. Sistem Pakar Metode Forward Chaining Untuk Psikoterapi Kejiwaan Terhadap Penyakit Kepribadian Genetik. Jurnal Informasi dan Teknologi, pp.112-118.
Suwarno, A., Husin, I. and Zenni, U.E., 2019. Aplikasi Sistem Pakar Untuk Mendiagnosa Gangguan Kepribadian Pada Remaja Dengan Menggunakan Metode Certainty Factor (CF). KILAT, 8(2), pp.127-140.
Saifulloh, S., 2019. Penentuan Tingkat Depresi Karyawan menggunakan Metode Certainty Factor. RESEARCH: Computer, Information System & Technology Management, 2(1), pp.25-29.
Sukadiyanto, S., 2010. Stress dan cara menguranginya. Jurnal Cakrawala Pendidikan, 1(1).
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