RECOMMENDATION SYSTEM TO SELECT A MAJOR OF VOCATIONAL SCHOOL USING DECISION TREE

  • Ardiansyah Risko Anwari Department of Informatics Engineering Education, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Indonesia
  • Sukirman Department of Informatics Engineering Education, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Indonesia
Keywords: Decision tree, major election, recommendation system, SUS

Abstract

A recommendation system is a tool that can be used to provide suggestions to users about something they are interested in, such as products, content, music, movies, or even majors at school. When registering for majors at vocational high school (SMK), some students sometimes difficult to select major based on their interests and abilities. This study aims to develop a recommendation system to select major in SMK, so that it can help prospective students choose majors according to their abilities. The method used is Research and Development (R&D), using the waterfall development model which consists of several stages, namely requirements analysis, system design, design implementation, and system testing. The algorithm used to recommend choices is a decision tree, a predictive model that maps input data to output targets based on a series of decisions or separation rules. The parameters used to recommend the selection of majors are the value data of last year's applicants. The evaluation was carried out using the system usability scale (SUS) involving 25 participants (17 males and 8 females) aged from 14 to 16 years old. Based on the analysis carried out, the results showed that SUS score is 89.7, which means that included to the excellent category in measuring adjective ranges, and acceptable in the acceptability scale. Thus it can be concluded that this department recommendation system is usable or can be used to provide advice to students in selecting a major in SMK.

Downloads

Download data is not yet available.

References

N. I. Putri, Rustiyana, Y. Herdiana, and Z. Munawar, “Sistem Rekomendasi Hibrid Pemilihan Mobil Berdasarkan Profil Pengguna dan Profil Barang,” Tematik, vol. 8, no. 1, pp. 56–68, 2021, doi: 10.38204/tematik.v8i1.566.

Y. Suharya, Y. Herdiana, N. Indah Putri, and Z. Munawar, “Sistem Rekomendasi Untuk Toko Online Kecil Dan Menengah,” Tematik, vol. 8, no. 2, pp. 176–185, 2021, doi: 10.38204/tematik.v8i2.683.

S. Atmojo, S. Dewi, N. Widhiyanta, and R. Utami, “Sistem Informasi Rekomendasi Pemilihan Sekolah Dasar Dengan Metode Ahp Studi Kasus Surabaya Barat,” Edutic - Sci. J. Informatics Educ., vol. 7, no. 2, pp. 85–93, 2021, doi: 10.21107/edutic.v7i2.8383.

R. N. Afifuddin and D. Nurjanah, “Sistem Rekomendasi Pemilihan Mata Kuliah Peminatan Menggunakan Algoritma K-means Dan Apriori (Studi Kasus: Jurusan S1 Teknik Informatika Fakultas Informatika),” eProceedings Eng., vol. 6, no. 1, pp. 2359–2367, 2019, [Online]. Available: https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/8682

Reynaldo, B. Mulyawan, and T. Sutrisno, “Rekomendasi Pemilihan Program Studi Tarumangara Menggunakan Metode,” J. Komput. dan Inform., vol. 15, no. 1, pp. 326–333, 2020.

L. N. Rachmadi, A. P. Wibawa, and U. Pujianto, “Rekomendasi Jurusan Dengan Menggunakan Decision Tree Pada Sistem Penerimaan Peserta Didik Baru SMK Widya Dharma Turen,” Belantika Pendidik., vol. 4, no. 1, pp. 29–36, 2021, doi: 10.47213/bp.v4i1.95.

P. D. Ariani, E. M. Kusuma, D. K. Basuki, K. P. Keputih, and S. Surabaya, “Sistem Pendukung Keputusan Pemilihan Jurusan SMK Menggunakan Neuro-Fuzzy," Politeknik Elektronika Negeri Surabaya Institut Teknologi Sepuluh Nopember. Abstrak,” pp. 1–8, 2020.

E. T. B. Ginting and I. Pratama, “Sistem Rekomendasi Jurusan SMK Menggunakan Metode Content-Based Filtering Di Kabupaten Sleman,” vol. 3, no. 2, pp. 291–300, 2023.

A. Ulfa, D. Winarso, and E. Arribe, “Sistem Rekomendasi Jurusan Kuliah Bagi Calon Mahasiswa Baru Menggunakan Algoritma C4.5,” J. Fasilkom, vol. 10, no. 1, pp. 61–65, 2020, doi: 10.37859/jf.v10i1.1511.

A. O. Setiarajasa, “Rancang Bangun Sistem Rekomendasi Penjurusan Siswa Baru Menggunakan Metode Weighted Product (Studi kasus: SMK PN 2 PURWOREJO),” pp. 1–9, 2020, [Online]. Available: http://eprints.uty.ac.id/3564/%0Ahttp://eprints.uty.ac.id/3564/1/Naskah Publikasi-Anggriawan Oki Setiarajasa-5140411198.pdf

E. Supratman, “Penggunaan Metode Simple Multi Attribut Rating Technique (Smart) Pada Sistem Penunjang Keputusan Rekomendasi Jurusan Studi Kasus : Siswa Smk N 5 Palembang,” J. Informanika, vol. 7, no. 2, pp. 105–112, 2021.

T. Wiratama Putra, A. Triayudi, and A. Andrianingsih, “Analisis Sentimen Pembelajaran Daring Menggunakan Metode Naïve Bayes, KNN, dan Decision Tree,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 6, no. 1, pp. 20–26, 2022, doi: 10.35870/jtik.v6i1.368.

H. Rifa’i, Ryan Hamonangan, Dian Ade Kurnia, Kaslani, and Mulyawan, “Implementasi Algoritma Decision Tree Dalam Klasifikasi Kompetensi Siswa,” KOPERTIP J. Ilm. Manaj. Inform. dan Komput., vol. 6, no. 1, pp. 15–20, 2022, doi: 10.32485/kopertip.v6i1.131.

E. P. Cynthia and E. Ismanto, “Metode Decision Tree Algoritma C.45 Dalam Mengklasifikasi Data Penjualan Bisnis Gerai Makanan Cepat Saji,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 3, no. July, p. 1, 2018, doi: 10.30645/jurasik.v3i0.60.

K. H. Sitanggang, M. Elsera, and N. Nurjamiyah, “Perancangan Aplikasi Game Edukasi Pengenalan Hewan Laut Dalam Bahasa Inggris Menggunakan Metode R&D,” Djtechno J. Teknol. Inf., vol. 3, no. 1, pp. 1–4, 2022, doi: 10.46576/djtechno.v3i1.1652.

S. Fransisca and R. N. Putri, “Pemanfaatan Teknologi RFID Untuk Pengelolaan Inventaris Sekolah Dengan Metode (R&D),” J. Mhs. Apl. Teknol. Komput. dan Inf., vol. 1, no. 1, pp. 72–75, 2019.

R. E. N. Arifah, S. Sukirman, and S. Sujalwo, “Pengembangan Game Edukasi Bilomatika untuk Meningkatkan Hasil Belajar Siswa pada Mata Pelajaran Matematika Kelas 1 SD,” J. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 6, p. 617, 2019, doi: 10.25126/jtiik.2019661310.

K. Wau, “Pengembangan Sistem Informasi Persediaan Gudang Berbasis Website Dengan Metode Waterfall,” J. Tek. Komputer, Agroteknologi Dan Sains, vol. 1, no. 1, pp. 10–23, 2022, doi: 10.56248/marostek.v1i1.8.

N. F. Esmi, W. Sri, B. Fikri,R. Asih, Z. Junta, S. Edi, "Penyederhanaan Pohon Keputusan Melalui Pendekatan Seleksi Fitur Dalam Memilih Penjual Pakan Ikan," J. Teknik Informatika, vol. 4, no. 2, pp. 301-309, doi: https://doi.org/10.52436/1.jutif.2023.4.2.747

H. Wijayanto, Y. K. Kumarahadi, and I. A. Prabowo, “Implementasi Model Waterfall Dan Pengujian System Usability Scale (SUS) Pada Pembuatan Website Program Studi Informatika Berbasis Wordpress,” Indones. J. Bus. Intell., vol. 6, no. 1, pp. 55–62, 2023, doi: http://dx.doi.org/10.21927/ijubi.v6i1.3375.

M. Susilo, “Rancang Bangun Website Toko Online Menggunakan Metode Waterfall,” InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 2, no. 2, pp. 98–105, 2018, doi: 10.30743/infotekjar.v2i2.171.

S. Sukirman and K. F. Syah, “Edumatic : Jurnal Pendidikan Informatika Sistem Peminjaman Buku Perpustakaan dengan Identifikasi Kode Quick Response ( QR ),” vol. 7, no. 1, pp. 79–87, 2023, doi: 10.29408/edumatic.v7i1.13372.

V. Gesilanda, Sukirman, and N. Azizah, “Evaluasi Pengembangan Media Pembelajaran Puzzle Book Augmented Reality Menggunakan USE Questionnaire,” Indones. J. Comput. Sci., vol. 12, no. 2, pp. 809–823, 2023, [Online]. Available: http://ijcs.stmikindonesia.ac.id/ijcs/index.php/ijcs/article/view/3173

F. G. Sembodo, G. F. Fitriana, and N. A. Prasetyo, “Evaluasi Usability Website Shopee Menggunakan System Usability Scale (SUS),” J. Appl. Informatics Comput., vol. 5, no. 2, pp. 146–150, 2021, doi: 10.30871/jaic.v5i2.3293.

D. W. Ramadhan, “Pengujian Usability Website Time Excelindo Menggunakan System Usability Scale (SUS) (Studi Kasus: Website Time Excelindo),” JIPI (Jurnal Ilm. Penelit. dan Pembelajaran Inform., vol. 4, no. 2, p. 139, 2019, doi: 10.29100/jipi.v4i2.977.

Sukirman, D. A. Pramudita, A. Afiyanto, and Utaminingsih, “Block-Based Visual Programming as a Tool for Learning the Concepts of Programming for Novices,” Int. J. Inf. Educ. Technol., vol. 12, no. 5, pp. 365–371, 2022, doi: 10.18178/ijiet.2022.12.5.1628.

D. Hariyanto, A. C. Nugraha, A. Asmara, and H. Liu, “An Asynchronous Serial Communication Learning Media: Usability Evaluation,” J. Phys. Conf. Ser., vol. 1413, no. 1, 2019, doi: 10.1088/1742-6596/1413/1/012018.

M. Rahmayu and R. K. Serli, “Sistem Pendukung Keputusan Pemilihan Jurusan Pada Smk Putra Nusantara Jakarta Menggunakan Metode Analytical Hierarchy Process (AHP),” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 9, no. 1, pp. 551–564, 2019, [Online]. Available: https://jurnal.umk.ac.id/index.php/simet/article/view/2022

A. Baktiar, “Decision Tree Sebagai Metode Penentuan Penjurusan Perguruan Tinggi Berdasarkan Minat Dan Bakat Melalui Data Raport Dengan Uji Algoritma C4.5 (Studi Kasus di SMKN 1 Donorojo Pacitan),” J. PILAR Teknol. J. Ilm. Ilmu Ilmu Tek., vol. 7, no. 1, pp. 40–45, 2022, doi: 10.33319/piltek.v7i1.110.

Published
2024-04-17
How to Cite
[1]
Ardiansyah Risko Anwari and S. Sukirman, “RECOMMENDATION SYSTEM TO SELECT A MAJOR OF VOCATIONAL SCHOOL USING DECISION TREE”, J. Tek. Inform. (JUTIF), vol. 5, no. 2, pp. 589-598, Apr. 2024.