ANALISIS MINAT SISWA SISWI SMP/MTS TERHADAP EKSTRAKURIKULER MA MUHAMMADIYAH 1 PONOROGO MENGGUNAKAN METODE ASSOCIATION RULES BERBASIS WEB
Abstract
Currently, the world of education must be managed professionally, because of the increasingly fierce competition in education today. Educational institutions will be abandoned by the community if they are managed poorly. MA Muhammadiyah 1 Ponorogo School is one of the private schools owned by the Muhammadiyah business charity in Ponorogo district. MA Muhammadiyah 1 Ponorogo has a small number of students, due to the lack of student interest in entering the school. To find out that students are interested in entering MA Muhammadyah 1 Ponorogo, the school made a new breakthrough that could attract students to register there. To find out, the researchers used data mining techniques with the Apriori Algorithm method, and supported by the Apriori web browser system by examining student extracurricular interest data with 177 respondents with 47 extracurriculars. Data Mining is a combination of data analysis techniques, while Apriori Algorithm is a method which is most often used because it is very simple, easy and the most widely proposed by several researchers, because there are two parameters, namely Support and Confidence. So the results of the” research predictions obtained are that the most popular extracurriculars for junior high school/MTs students are futsal and volleyball with a minimum value of support = 11% and a minimum value of confidence = 52%.
Keywords
References
Andi Rahmadsyah, H., & Rosnelly, R. (2021). Analisa Association Rule Pada Algoritma Apriori Untuk Minat Pembelian Alat Kesehatan. Jurnal Media Informatika Budidarma, 5, 280–286. https://doi.org/10.30865/mib.v5i1.2658
Efori Buulolo, S. B. (2017). Implementasi Algoritma Apriori Pada Sistem Persediaan Obat ( Studi Kasus : Apotik Rumah Sakit Estomihi Medan ) Implementasi Algoritma Apriori Pada Sistem Persediaan Obat ( Studi Kasus : Apotik Rumah Sakit Estomihi Medan ). Jurnal Teknik Informatika, 4(August 2013), 71–83.
Fendy Grata, D. N. (2019). Analisis Terhadap Data Penjualan Produk Kebutuhan Rumah Tangga Menggunakan Algoritma Apriori. Computer Based Information System Journal, 01, 35– 43.
Kennedi Tampumbolon, Hoga Saragih, B. R.
(2013). Impelementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Alat-alat Kesehatan. Informasi Dan Teknologi Ilmiah (INTI), Fakuktas Teknik Dan Ilmu Komputer- Universitas Bakrie Kampus, 1.
Laila Fathia Zulfiani, Djuniadi, P. K. N. (2020). PENGARUH EKSTRAKURIKULER BOLA BASKET TERHADAP PRESTASI BELAJAR MATA PELAJARAN OLAHRAGA. Universitas Negri Semarang, 5(e-ISSN: 2527-6891), 36–39.
Listriani, D., Setyaningrum, A. H., & A, F. E. M. (2016). PENERAPAN METODE ASOSIASI MENGGUNAKAN ALGORITMA APRIORI PADA APLIKASI ANALISA POLA BELANJA KONSUMEN ( Studi Kasus Toko Buku Gramedia Bintaro ). Teknik Informatika Universitas Islam Negeri Jakarta, 9(2), 120–127.
Nurisnaini, M. P. (2014). Analisa Data Mining Menggunakan Algoritma Apriori Untuk Menentukan Relasi Pembelian Produk Pada Restoran Tengger Malang Brebes. Fakultas Ilmu Komputer, Universitas Dian Nurwantoro.
Salamah, E. N., & Ulinnnuha, N. (2017). Analisis Pola Pembelian Obat dan Alat Kesehatan di Klinik Ibu dan Anak Graha Amani dengan Menggunakan Algoritma Apriori. Jurnal INFORM, 2(2), 1–6. https://doi.org/10.25139/ojsinf.v2i1.401
Syahril, M., Erwansyah, K., & Yetri, M. (2020). Penerapan Data Mining Untuk Menentukan Pola Penjualan Peralatan Sekolah Pada Brand Wigglo Dengan Menggunakan Algoritma Apriori. Teknologi Sistem Informasi Dan Sistem Komputer TGD, 3(1), 118–136.
Tukino, T. (2019). Application of the C4.5 Algorithm to Predict Profits at PT SMOE Indonesia. Jurnal Sistem Informasi Bisnis, 9(1), 39.
Yuda Septian Nugroho. (2014). Data Mining Menggunakan Algoritma Naive Bayes untuk Klasifikasi Kelulusan Mahasiswa Universitas Dian Nuswantoro. Sistem Informasi, Ilmu Komputer, Universitas Dian Nuswantoro, 1– 11. https://doi.org/10.1016/0002- 9343(83)90110-9
DOI: 10.24269/jkt.v6i1.1145
DOI (PDF): https://doi.org/10.24269/jkt.v6i1.1145.g586
Refbacks
- There are currently no refbacks.