1Khusni Mubarok , 2Totok Chamidy,3 Suhartono
1Student of Postgraduate Magister Informatics, Maulana Malik Ibrahim State Islamic University, Indonesia
2Postgraduate program, Maulana Malik Ibrahim State Islamic University, Indonesia
3Postgraduate program, Maulana Malik Ibrahim State Islamic University, Indonesia
DOI : https://doi.org/10.47191/ijmra/v7-i06-25Google Scholar Download Pdf
ABSTRACT:
This research aims to determine student competency obtained from productive subjects, one of the subjects that has an important role in measuring student quality. With the development of technology, student evaluations of productive subject grades can use data mining methods, one of which uses the Support Vector Machine approach. This method aims to build a classification of students' productive subject scores by identifying the variables that influence them. Based on the research results, it can be concluded that the value of productive subjects at Public Vocation High School 1 Pasuruan can be predicted and evaluated using data mining techniques that utilize the Support Vector Machine algorithm. It aims to predict student grades in productive subjects by utilizing a logistic regression algorithm. The classification results illustrate that student grades in productive subjects are influenced by learning media variables, teacher teaching quality, classroom/laboratory facilities, interest, and motivation to learn. Apart from that, the Support Vector Machine algorithm has an accuracy value of 64.5001, precision of 56.0279, recall = 86.9952, and F1-Score = 67.882.
KEYWORDS:Data Mining, Algoritma Support Vector Machine, Vocation High School,
REFERENCES1) Rahman, A., Dwi, W., Zebua, A., Satispi, E., & Kusuma, A. A. (2022). Formulasi Kebijakan Program Sekolah Menengah Kejuruan Pusat Keunggulan (SMK PK) di Indonesia. Seminar Nasional Penelitian LPPM UMJ , 96–104. http://jurnal.umj.ac.id/index.php/semnaslit
2) Adams, F., Dwi Anggoro, R. A., Satria, M. B., Oktavia, A. W., & Chamidah, N. (2021). Perbandingan Normalisasi Data untuk Klasifikasi Wine Menggunakan Algoritma Naïve Bayes, Decision Tree, dan Support Vector Machine. Seminar Nasional Mahasiswa Ilmu Komputer Dan Aplikasinya (SENAMIKA), 2(2), 260–268. https://conference.upnvj.ac.id/index.php/senamika/article/view/1744
3) Amna, S, W., Sudipa, I. G. I., Putra, T. A. E., Wahidin, A. J., Syukrilla, W. A., Wardhani, A. K., Heryana, N., Indriyani, T., & Santoso, L. W. (2023). Data Mining Data mining. In A. Ediana, D., Yanto (Ed.), Mining of Massive Datasets (Vol. 2, Issue January 2013).
4) Amruddin, Priyanda, R., Agustina, T. S., Ariantini, N. S., Rusmayani, N. G. A. L., Aslindar, D. A., Ningsih, K. P., Wulandari, S., Putranto, P., Yuniati, I., Untari, I., Mujiani, S., & Wicaksono., D. (2022). Metodologi Penelitian Kuantitatif (F. Sukmawati (ed.); Cetakan pe, Issue Juni 2022). Pradina Pustaka.
5) Anggraeni, I., Firmansyah, F. H., Ramadhina, R. A., & Faza, N. N. (2022). Urgensi Kecakapan Pembelajaran Abad 21 Model Inkuiri pada Siswa SMK Kompetensi Keahlian Multimedia. Taman Vokasi, 10(1), 81–89. https://doi.org/10.30738/jtvok.v10i1.11669.
6) Cholissodin, I., & Soebroto, A. A. (2021). AI , Machine Learning & Deep LEARNING ( Teori & Implementasi ). January.
7) Elwirehardja, G. N., Suparyanto, T., & Pardamean, B. (2022). Pengenalan Konsep machine Learning Untuk Pemula. Instiper Press, 1–19. https://books.google.ca/books?id=EoYBngEACAAJ&dq=mitchell+machine+learning+1997&hl=en&sa=X&ved=0ahUKEwiomdqfj8T
kAhWGslkKHRCbAtoQ6AEIKjAA
8) Hrp. Ariani, N. . et. al. (2022). Buku Ajar Belajar Dan Pembelajaran. In Buku Ajar Belajar Dan Pembelajaran. https://doi.org/10.21070/2022/978-623-464-043-4
9) Huda, N. (2015). Pengaruh Mata Pelajaran Produktif, Praktik Kerja Industri dan Keadaan Ekonomi Keluarga Terhadap Kesiapan Kerja Siswa Kelas XI Jurusan Bangunan Program Keahlian Teknik Gambar Bangunan Smk Negeri 4 Semarang Tahun Pelajaran 2014 / 2015. Skripsi, 4Huda, N.(2), 89–94.
10) Id, I. D. (2021). Machine Learning: Teori, Studi Kasus dan Implementasi Menggunakan Python. Ur Press, 1999(December), 1–6. https://doi.org/10.5281/zenodo.5113507
11) Luthfiah, S. (2017). Analisis Faktor-Faktor yang Mempengaruhi Hasil Karya Siswa dalam Mata Pelajaran Desain Multimedia Skripsi Ini Ditulis Untuk Memenuhi Sebagian Persyaratan Dalam Memperoleh Gelar Sarjana Program Studi Pendidikan Teknik Informatika.
12) Manurung, M. (2017). Analisis Faktor yang Mempengaruhi Pemahaman Konsep Matematika pada Siswa SMA Al–Hidayah Medan TP 2016/2017. In Repository.Umsu.Ac.Id. http://repository.umsu.ac.id/handle/123456789/12743
13) Muslim, M. A., Prasetiyo, B., Mawarni, E. L. H., Herowati, A. J., Mirwotussa’adah, Rukmana, S. H., & Nurzahputra, A. (2019). Data Mining Algoritma C4.5 Disertai contoh kasus dan penerapannya dengan program computer (N. C. Eka Listiana (ed.); Vol. 5, Issue 1).
14) Putra, Y. K., Sadali, M., Fathurrahman, F., & Mahpuz, M. (2020). Pelatihan uji kompetensi keahlian siswa sekolah kejuruan menggunakan metode Participatory Learning and Action (PLA). ABSYARA: Jurnal Pengabdian Pada Masyarakat, 1(2), 46–52. https://doi.org/10.29408/ab.v1i2.2772
15) Rahayudi, B. (2018). Implementasi Metode JST-Backpropagation Untuk Klasifikasi Rumah Layak Huni (Studi Kasus: Desa Kidal Kecamatan Tumpang Kabupaten Malang). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(10), 3366–3372. http://j-ptiik.ub.ac.id
16) Rahmadi. (2011). Pengantar Metodologi Penelitian. In Syahrani (Ed.), Antasari Press. Antasari Press.
17) Rahman, A., Dwi, W., Zebua, A., Satispi, E., & Kusuma, A. A. (2022). Formulasi Kebijakan Program Sekolah Menengah Kejuruan Pusat Keunggulan (SMK PK) di Indonesia. Seminar Nasional Penelitian LPPM UMJ , 96–104. http://jurnal.umj.ac.id/index.php/semnaslit
18) Tandirerung, V. A. (2017). Pemetaan Kompetensi Lulusan Smk Bidang Keahlian Teknologi Informasi Dan Komunikasi Di Kota Makassar. Elinvo (Electronics, Informatics, and Vocational Education), 2(2), 149–155. https://doi.org/10.21831/elinvo.v2i2.17308
19) Ulinnuha Musthofa, M., Suswanto, H., & Nyoto, A. (2017). Kontribusi Kemandirian Belajar, Fasilitas Belajar, dan Prestasi Belajar Kompetensi Keahlian terhadap Kinerja PKL Siswa SMK Kompetensi Keahlian Multimedia di Kota Malang. Jurnal Pendidikan: Teori, Penelitian Dan Pengembangan, 2(11), 1550–1560. http://journal.um.ac.id/index.php/jptpp/
20) Widodo, S., Ladyani, F., Asrianto, L. O., Rusdi, Khairunnisa, Lestari, S. M. P., Wijayanti, D. R., Devriany, A., Hidayat, A., Dalfian, Nurcahyati, S., Sjahriani, T., Armi, Widya, N., & Rogayah. (2023). Buku Ajar Metode Penelitian (M. Seto (ed.); Cetakan Pe). CV Science Techno Direct.
21) Widyanti, A. (2022). Kajian Literatur Tentang Penerapan Model Pembelajaran Core Terhadap Pemahaman Konsep Matematis. 4(Sandika IV).
22) Wira, J., & Putra, G. (2020). Pengenalan Konsep Pembelajaran Mesin dan Deep Learning Edisi 1.4. 4, 45–46.
Volume 07 Issue 06 June 2024
There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.
Our Services and Policies
Authors should prepare their manuscripts according to the instructions given in the authors' guidelines. Manuscripts which do not conform to the format and style of the Journal may be returned to the authors for revision or rejected.
The Journal reserves the right to make any further formal changes and language corrections necessary in a manuscript accepted for publication so that it conforms to the formatting requirements of the Journal.
International Journal of Multidisciplinary Research and Analysis will publish 12 monthly online issues per year,IJMRA publishes articles as soon as the final copy-edited version is approved. IJMRA publishes articles and review papers of all subjects area.
Open access is a mechanism by which research outputs are distributed online, Hybrid open access journals, contain a mixture of open access articles and closed access articles.
International Journal of Multidisciplinary Research and Analysis initiate a call for research paper for Volume 07 Issue 07 (July 2024).
PUBLICATION DATES:
1) Last Date of Submission : 26 July 2024 .
2) Article published within a week.
3) Submit Article : editor@ijmra.in or Online
Why with us
1 : IJMRA only accepts original and high quality research and technical papers.
2 : Paper will publish immediately in current issue after registration.
3 : Authors can download their full papers at any time with digital certificate.
The Editors reserve the right to reject papers without sending them out for review.
Authors should prepare their manuscripts according to the instructions given in the authors' guidelines. Manuscripts which do not conform to the format and style of the Journal may be returned to the authors for revision or rejected. The Journal reserves the right to make any further formal changes and language corrections necessary in a manuscript accepted for publication so that it conforms to the formatting requirements of the Journal.