Implementasi Metode Certainty Factor pada Sistem Pakar Bimbingan Konseling Siswa Bermasalah

Zilullah Nazir Hadi; Dyah Susilowati; Hairani Hairani; Muhammad Innuddin

doi:10.30812/bite.v3i2.1553

Zilullah Nazir Hadi Universitas Bumigora
Dyah Susilowati Universitas Bumigora
Hairani Hairani Universitas Bumigora
Muhammad Innuddin Universitas Bumigora

DOI: https://doi.org/10.30812/bite.v3i2.1553

Keywords: guidance for problematic students, expert systems, certainty factor

Abstract

The main thing in the development of education is the quality of education. One of the determinants of the quality of education is counseling guidance. The problem so far is that most students who have problems feel embarrassed in doing counseling directly to the BK teacher and usually consult with their friends so that they cannot solve the problems they face. This makes it difficult for BK teachers to deal with student problems, so we need a system that can help and solve problems experienced by students. The purpose of this study is to design an expert system that overcomes the problems suffered by students using the certainty factor method that can provide solutions based on the types of problems suffered by the students. The expert system development methodology in this study uses the waterfall methodology which consists of needs analysis, design, coding, and testing. The result of this research is in the form of an expert system application for counseling problem students who apply a web-based certainty factor method that can make it easier for students to find out the types of problems they face based on the problems symptoms entered. This study concludes that the expert system application that was built has a good level of convenience based on the results of usability testing using the SUS (System Usability Scale) method of 76.5%.

References

[1] M. Dahria, “Pengembangan Sistem Pakar Dalam Membangun Suatu Aplikasi,” Jurnal Saintikom, vol. 10, no. 3, pp. 199–205, 2011.
[2] H. Hairani, M. N. Abdillah, and M. Innuddin, “Perancangan Sistem Pakar Diagnosis Penyakit Rematik Menggunakan Inferensi Forward Chaining Berbasis Prolog,” InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan), vol. 4, no. 1, pp. 8–11, 2019, doi: 10.30743/infotekjar.v4i1.1377.
[3] H. Hairani, M. N. Abdillah, and M. Innuddin, “An Expert System for Diagnosis of Rheumatic Disease Types Using Forward Chaining Inference and Certainty Factor Method,” in 2019 International Conference on Sustainable Information Engineering and Technology (SIET), 2019, pp. 104–109.
[4] B. Dirgantara and H. Hairani, “Sistem Pakar Diagnosa Penyakit THT Menggunakan Inferensi Forward Chaining dan Metode Certainty Factor,” Jurnal Bumigora Information Technology (BITe), vol. 3, no. 1, pp. 1–8, 2021, doi: 10.30812/bite.v3i1.1241.
[5] H. Hairani, K. Kurniawan, K. A. Latif, and M. Innuddin, “Metode Dempster-Shafer untuk Diagnosis Dini Jenis Penyakit Gangguan Jiwa Skizofrenia Berbasis Sistem Pakar,” Sistemasi : Jurnal Sistem Informasi, vol. 10, no. 2, pp. 280–289, 2021, doi: 10.32520/stmsi.v10i2.1195.
[6] A. Sucipto, Y. Fernando, R. I. Borman, and N. Mahmuda, “Penerapan Metode Certainty Factor Pada Diagnosa Penyakit Saraf Tulang Belakang,” Jurnal Ilmiah FIFO, vol. 10, no. 2, p. 18, 2019, doi: 10.22441/fifo.2018.v10i2.002.
[7] D. Daniel and G. Virginia, “Implementasi Sistem Pakar Untuk Mendiagnosis Penyakit Dengan Gejala Demam Menggunakan Metode Certainty Factor,” Jurnal informatika, vol. 6, no. 1, pp. 12–23, 2010.
[8] S. Kusumadewi, Artificial Intelligence (Teknik dan Aplikasinya). Yogyakarta: Graha Ilmu, 2003.
[9] S. Sutojo, Mulyanto, Kecerdasan Buatan. Yogyakarta: Andi, 2011.
[10] K. Kusrini, Sistem Pakar Teori dan Aplikasi. Yogyakarta: Andi, 2006.
[11] I. A. H.N, P. I. Nugroho, and R. Ferdiana, “Pengujian Usability Website Menggunakan System Usability Scale,” Jurnal Iptekkom : Jurnal Ilmu Pengetahuan & Teknologi Informasi, vol. 17, no. 1, p. 31, Jun. 2015, doi: 10.33164/iptekkom.17.1.2015.31-38.