Analysis of Students to Follow Computer Extracurricular Activities using Fuzzy Logic Method

Loneli Costaner, Guntoro Guntoro, Lisnawita Lisnawita


An educational institution will carry out activities for the development of human resources. In improving good human resources, additional lessons are needed to increase students' skills, especially in the computer field. The current obstacle is that schools have difficulty measuring students' interest in participating in computer extracurricular, as a result the development of computer hardware needs is hampered. This study aims to provide knowledge to schools to find out what percentage of students are interested in learning computers. The method used is a Likert scale and fuzzy logic by measuring four variables of student feelings, student attention, student interest and student involvement. Measurement of student interest by compiling a questionnaire filled in by students and students there are 14 questions with a choice of each question 5 answer choices, obtained an average weight on the Likert scale variable feeling 74.0%, attention 76.5%, interest 75.7% and the involvement of 78.0% of the weight was tested with fuzzy inference with a firmness value of 38, where the value is included in the output domain not interested. By measuring student interest, it is hoped that it will be useful for institutions to consider implementing computer extracurricular.

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Z. He and X. Sun, “Index Construction and Application of School-Enterprise Collaborative Education Platform Based on AHP Fuzzy Method in Double Creation Education Practice,” J. Sensors, vol. 2022, pp. 1–15, 2022, doi: 10.1155/2022/7707384.

F. Yao, “Design and simulation of integrated education information teaching system based on fuzzy logic,” IOS Press, vol. 37, pp. 4687–4695, 2019, doi: 10.3233/JIFS-179303.

D. Vinsensia and Y. Utami, “Penerapan Fuzzy Inference System ( FIS ) Metode Mamdani dalam Pemilihan Jurusan Perguruan Tinggi,” SINKRON, vol. 2, p. 9, 2018.

Y. Anistyasari and R. M. Noer, “Logika Fuzzy untuk Sistem Rekomendasi Peminatan Siswa,” INAJET, vol. 2, no. 2, pp. 75–80, 2020.

P. D. Pamungkas, D. Remawati, and B. Widada, “Penerapan Metode Fuzzy Tsukamoto Untuk Penentuan Jurusan Sesuai Minat Bakat Penerimaan Siswa Baru Pada SMK,” J. Teknol. Inf. dan Komun., vol. 10, no. 1, 2022, doi: 10.30646/tikomsin.v10i1.599.

D. Indyastuti, J. D. Irawan, and R. P. Prasetya, “Sistem Pendukung Keputusan Bidang Minat Menggunakan Metode Simple Additive Weighting,” J. Mhs. Tek. Inform., vol. 4, no. 1, pp. 325–331, 2020.

Y. Anistyasari and R. M. Noer, “Logika Fuzzy untuk Sistem Rekomendasi Peminatan Siswa,” Indones. J. Eng. Technol., vol. 2, no. 2, pp. 66–71, 2020, doi: 10.26740/inajet.v2n2.p66-71.

P. R. Ramadhan, G. W. Wiriasto, M. S. Iqbal, and Misbahuddin, “Sistem Pengambilan Keputusan Penjurusan Akademik Sekolah Menengah Atas Berdasarkan Kemampuan Akademik, Potensi Psikologi dan Minat bakat Siswa …,” Sist. Komput. dan kecerdasan buatan, vol. II, no. 2, pp. 38–45, 2019, [Online]. Available:

E. B. Serelia and M. R. A. Saf, “Sistem Pendukung Keputusan Penentuan Peminatan dan Lintas Minat Siswa Dengan Menggunakan Metode SAW ( Simple Additive Weighting ) Pada SMA Negeri Dharma Pendidikan,” Techno.COM, vol. 19, no. 3, pp. 227–236, 2020.

S. Rohmatunisha, U. Wahyudi, and D. S. Yudasmara, “Survei Minat Siswa dalam Mengikuti Kegiatan Ekstrakurikuler Bolabasket pada Peserta Sekolah Menengah Pertama,” Sport Sci. Heal., vol. 2, no. 2, pp. 119–129, 2020.

Ridwaansyah, M. S. Huda, and M. S. Fauzi, “Survei minat dan motivasi siswa-siswi dalam mengikuti kegiatan ekstrakurikuler futsal di smp negeri kota samarinda,” Borneo Phys. Educ., vol. 2, pp. 64–73, 2021.

F. D. Ragestu and A. J. . Sibarani, “Penerapan Metode Fuzzy Tsukamoto Dalam Pemilihan Siswa Teladan di Sekolah The Application of Fuzzy Tsukamoto Method in the Selection of Exemplary Students at School,” TEKNIKA, vol. 9, no. 1, pp. 9–15, 2020, doi: 10.34148/teknika.v9i1.251.

M. S. Sulaiman, A. A. Tamizi, M. R. Shamsudin, and A. Azmi, “Course recommendation system using fuzzy logic approach,” Indones. J. Electr. Eng. Comput. Sci., vol. 17, no. 1, pp. 365–371, 2020, doi: 10.11591/ijeecs.v17.i1.pp365-371.

S. Alghamdi, N. Alzhrani, and H. Algethami, “Fuzzy-based recommendation system for university major selection,” in IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019, no. Ijcci, pp. 317–324. doi: 10.5220/0008071803170324.

D. Doz, D. Felda, and M. Cotic, “Assessing Students’ Mathematical Knowledge with Fuzzy Logic,” Educ. Sci., vol. 12, no. 4, 2022, doi: 10.3390/educsci12040266.

T. M. Johan, F. Suryana, Jeprimansyah, and R. Efendi, “Pengembangan Test Minat dan Bakat Anak-Anak Menggunakan Metode Fuzzy Logic,” JVEIT, vol. 3, no. 1, pp. 37–41, 2022.


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