Educational Data Mining for Mapping Student Ability Based on School Location Using Apriori Method Case Study : SMK YPM Sidoarjo

Isi Artikel Utama

M. Mahaputra Hidayat
Rifki Fahrial Zainal
Andi Alfian Efendi

Abstrak

With the advancement of information technology today, the need for accurate information is needed in everyday life, so that information will become an important element in the development of society today and in the future. However, the high need for information is sometimes not matched by the presentation of adequate information, often the information still has to be re-excavated from very large amounts of data. Traditional methods of analyzing existing data, cannot handle large amounts of data. Basically Senior High School is programmed for those who continue to a higher level, while the provision of skills can be said to be non-existent. Vocational High Schools can produce quality graduates in terms of work skills, therefore currently many companies require graduates from Vocational Schools. The purpose of this study is to create an application to obtain useful information about mapping the value of subjects, especially English at YPM Vocational School in Sidoarjo with data mining techniques and Apriori method. From the results of system testing, it shows that there is still a lack of National Examination Scores for English in most YPM Vocational Schools in Sidoarjo.

Rincian Artikel

Cara Mengutip
Hidayat, M. M., Zainal, R. F., & Efendi, A. A. (2023). Educational Data Mining for Mapping Student Ability Based on School Location Using Apriori Method Case Study : SMK YPM Sidoarjo. JEECS (Journal of Electrical Engineering and Computer Sciences), 8(2), 149–156. https://doi.org/10.54732/jeecs.v8i2.6
Bagian
Articles

Referensi

A. Susanto, D. Jatmoko, Y. Widiyono, J. Purwanto, R. Milyuantara, and U. M. Purworejo, (2023). “Analisis Minat dan Hasil Belajar Siswa SMK dengan Pemanfaatan Media Pembelajaran Berbasis Aplikasi Lectora Inspire,” Jurnal Pendidikan, vol. 11, no. 02, pp.338-344. DOI: https://doi.org/10.36232/pendidikan.v11i2.4406

P. H. Hasyim, and A.P. Abadi, (2023). “Pengaruh Motivasi Belajar Terhadap Kemampuan Pemahaman Konsep Matematis Siswa SMK,” Journal on Education, vol. 06, no. 01, pp. 4877–4883.

Y. Zalukhu, H.S. Harefa, E. P.P. Zebua, and T. Harefa, (2023). “An Analysis of Factors Influence Students’ Speaking Performance at the Eleventh Grade of SMK Negeri 1 Gunungsitoli in 2022/2023,” Jurnal Edumaspul, vol. 7, no. 2, pp. 3757-3765.

F. Hansun, A. Mewengkang, O.E.S. Liando, (2023). “Hubungan Motivasi Dengan Prestasi Belajar Siswa Kelas X SMK Negeri 1 Ratahan,”, Edutik, Vol. 3, No. 3, pp.300-307. DOI: https://doi.org/10.53682/edutik.v3i3.7049

G. Simarmata and C. V. R. Sinaga, (2023). “Motivasi dalam Pembelajaran Matematika Siswa di SMK Teladan Tanah Jawa,” PENDIPA Journal of Science Education, vol. 7, no. 2, pp. 299–303, doi: DOI: https://doi.org/10.33369/pendipa.7.2.299-303

33369/pendipa.7.2.299-303.

M.A. Ridla, F. Fajriyanto, and M. Marzuqi, (2023). “Implementasi Algoritma Apriori untuk Menentukan Pola Transaksi Penjualan Berbasis Web,” JTIM : Jurnal Teknologi Informasi dan Multimedia, vol. 5, no. 3, pp. 196–207, doi: 10.35746/jtim.v5i3.399. DOI: https://doi.org/10.35746/jtim.v5i3.399

E.T. Naldy, and A. Andri, (2021). “Penerapan Data Mining Untuk Analisis Daftar Pembelian Konsumen Dengan Menggunakan Algoritma Apriori Pada Transaksi Penjualan Toko Bangunan MDN,” Jurnal Nasional Ilmu Komputer, Vol. 2, No. 2, pp.89-101. DOI: https://doi.org/10.47747/jurnalnik.v2i2.525

F. Alghifari and D. Juardi, (2021). “Penerapan Data Mining Pada Penjualan Makanan Dan Minuman

Menggunakan Metode Algoritma Naïve Bayes,” Jurnal Ilmiah Informatika, Vol. 9, No. 2, pp.75-81.

B. S. Purnomo and P. T. Prasetyaningrum, (2021). “Penerapan Data Mining Dalam Mengelompokkan Kunjungan Wisatawan di Kota Yogyakarta Menggunakan Metode K-Means,” Journal of Computer Science and Technology, Vol. 1, No. 1, pp.27-32. DOI: https://doi.org/10.54840/jcstech.v1i1.9

S. Rohman, Z. Al Azis, and M. Hidayat, (2023). “Analisis Pola Pembelian Produk Pada Toko Madu Mukti Dengan Algoritma Apriori,” Journal of Informatiom System and Computer, Vol. 3, No. 1, pp.39-60. DOI: https://doi.org/10.34001/jister.v3i1.647

R. Kurniawan and R. Yusuf, (2023). “Penerapan Metode Asosiasi Dengan Algoritma Apriori Untuk Mendukung Strategi Promosi,” Edusaintek: Jurnal Pendidikan, Sains dan Teknologi, vol. 10, no. 2, pp. 514–528, Feb. 2023, doi: 10.47668/edusaintek.v10i2.786. DOI: https://doi.org/10.47668/edusaintek.v10i2.786

A. Ardianti, N. Novriyenni, L.A.N. Kadim, (2023). “Penerapan Algoritma Apriori Menentukan Korelasi Data Penjualan Pupuk (Studi Kasus : PT. Karunia Rotorindo Tani),” Jurnal Manajemen Informatika Jayakarta, vol. 3,no.3, pp. 292–301, doi: 10.52362/jmijayakarta.v3i3.1196.

E. Prayitno and D. F. Sari, (2022). “Implementasi Algoritma Apriori Untuk Pola Kombinasi Pembelian Barang,” Jurnal Cakrawala Ilmiah, vol. 2, no. 2, pp.691-696.

I. A. Ashari, A. Wirasto, D.N. Triwibowo, and P. Purwono, (2022). “Implementasi Market Basket Analysis dengan Algoritma Apriori untuk Analisis Pendapatan Usaha Retail,” MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 21, no. 3, pp. 701–709, doi: 10.30812/matrik.v21i3.1439. DOI: https://doi.org/10.30812/matrik.v21i3.1439

W. Dari, (2022). “Analisis Metode Apriori Untuk Memprediksi Persediaan Barang Pada Warung,” INSOLOGI: Jurnal Sains dan Teknologi, vol. 1, no. 4, pp. 438–447, doi: 10.55123/insologi.v1i4.807. DOI: https://doi.org/10.55123/insologi.v1i4.807

Artikel paling banyak dibaca berdasarkan penulis yang sama

1 2 3 > >>