C4.5 Forward Selection Based Algorithm For Class Level Classification Of Nurul Jadid Islamic Boarding School Students

Authors

  • Muhammad Isomul Irfan Universitas Dian Nuswantoro

DOI:

10.33395/sinkron.v8i2.13514

Keywords:

C4.5 Algorithm, Data Mining, Forward Selection, Classification, Islamic Boarding School.

Abstract

Pesantren is an Islamic educational institution that plays a central role in the development of education in Indonesia. Although originally established for Islamic religious education (Pendidikan Agama Islam or PAI), pesantren has evolved into an educational institution that contributes to both scholarly and community service aspects. According to the regulations set by the Ministry of Religious Affairs of the Republic of Indonesia under Number 31 of 2020, pesantren is a community-based institution that upholds the teachings of Islam rahmatan lil'alamin (Islam as a blessing for all) and the noble values of the Indonesian nation. Pesantren education is efficient because it is conducted in a boarding school setting, which shapes the character of its students or 'santri.' However, the current method of determining the grade levels of santri is often inaccurate, relying solely on the average scores of entrance exams without considering essential aspects of subjects. This leads to a decrease in students' interest in learning and delays in achieving higher levels of education. By utilizing data mining techniques, such as the C4.5 algorithm based on Forward Selection, it is possible to address this issue and enhance the accuracy of placing santri into their appropriate grade levels at the Nurul Jadid Paiton Probolinggo pesantren. This improvement can make the pesantren education system more effective in managing student learning

GS Cited Analysis

Downloads

Download data is not yet available.

References

Anestiviya, V., Ferico, A., & Pasaribu, O. (2021). Analisis Pola Menggunakan Metode C4.5 Untuk Peminatan Jurusan Siswa Berdasarkan Kurikulum (Studi Kasus : Sman 1 Natar). Jurnal Teknologi Dan Sistem Informasi (JTSI), 2(1), 80–85.

Anwar, H. S., Denata, R., & Firdaus, A. I. I. (2023). Digitalisasi Pendidikan Pesantren melalui Sistem Pembayaran Cashless Menggunakan Ngabar Smart Payment di Pondok Pesantren Wali Songo Ngabar. MA’ALIM: Jurnal Pendidikan Islam, 4(1), 43–53. https://doi.org/10.21154/maalim.v4i1.6678

Bates, S., Hastie, T., & Tibshirani, R. (2023). Cross-Validation: What Does It Estimate and How Well Does It Do It? Journal of the American Statistical Association, 1–43. https://doi.org/10.1080/01621459.2023.2197686

Hamdani, R., Sriani, & Darta, A. (2024). ANALISIS TINGKAT KEPUASAN PASIEN DI KLINIK PRATAMA. Journal of Science and Social Research, 4307(1), 273–280.

Haryono, E. (2023). METODOLOGI PENELITIAN KUALITATIF DI PERGURUAN TINGGI KEAGAMAAN ISLAM. An Nur, 13(2), 23–30.

Lasulika, M. E., & Bode, A. (2021). Komparasi Algoritma Data Mining Menggunakan Forward selection Pada Prediksi Harga Jagung. Jurnal Tecnoscienza, 5(2), 157. https://doi.org/10.51158/tecnoscienza.v5i2.392

Nurhalisha, T., Pranoto, W. J., Saputra, H., & Latipah, A. J. (2023). The application of particle swarm optimization ( PSO ) to improve the accuracy of the naive bayes algorithm in predicting floods in the city of Samarinda. Journal of Intelligent Decision Support System, 6(3), 138–146.

Omari Firas. (2023). A combination of SEMMA & CRISP-DM models for effectively handling big data using formal concept analysis based knowledge discovery: A data mining approach. World Journal of Advanced Engineering Technology and Sciences, 8(1), 009–014. https://doi.org/10.30574/wjaets.2023.8.1.0147

Rahmayani, F. (2023). Penerapan Algoritma C4.5 Dengan Feature Forward Selection Untuk Analisis Capaian Indikator Kinerja Utama Berdasarkan Tracer Study (Studi Kasus: Fasilkom Unsika). JATI (Jurnal Mahasiswa Teknik Informatika), 7(4), 2732–2738.

Sahlan, M. (2023). Konsep Dakwah Pluralisme Dalam Trilogi Santri Maqolahhusnu Al-Adab Ma’a Allah Wa Ma’a Al-Kholqi Di Pondok Pesantren Nurul Jadid. UNIVERSITAS NURUL JADID.

Santos, M. S., Abreu, P. H., Japkowicz, N., Fernández, A., & Santos, J. (2023). A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Information Fusion, 89(June 2022), 228–253. https://doi.org/10.1016/j.inffus.2022.08.017

Saputra, M., Sinaga, I. P. L., & Sinaga, W. (2023). Analisis penerapan algoritma c4.5 untuk mengidentifikasi kelancaran kredit nasabah pada cu. dosnitahi pinang sori. Jurnal TEKINKOM, 6(2), 737–743. https://doi.org/10.37600/tekinkom.v6i2.943

Sheth, V., Tripathi, U., & Sharma, A. (2022). A Comparative Analysis of Machine Learning Algorithms for Classification Purpose. Procedia Computer Science, 215, 422–431. https://doi.org/10.1016/j.procs.2022.12.044

Suhendar, A. H., Rohmawati, A. A., & Prasetyowati, S. S. (2024). Performance of CART Time-Based Feature Expansion in Dengue Classification Index Rate. Sinkron: Jurnal Dan Penelitian Teknik Informatika, 9(1), 1–9.

Sunarto, A., Kencana, P. N., Munadjat, B., Dewi, I. K., Abidin, A. Z., & Rahim, R. (2023). Application of Boosting Technique with C4.5 Algorithm to Reduce the Classification Error Rate in Online Shoppers Purchasing Intention. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 14(2), 01–11. https://doi.org/10.58346/JOWUA.2023.I2.001

Wibowo, A., Wardani, S., Dewantoro, R. W., Wesly, W., & Leonardo. (2023). Komparasi Tingkat Akurasi Random Forestdan Decision TreeC4.5 Pada Klasifikasi Data Penyakit Infertilitas. KLIK: Kajian Ilmiah Informatika Dan Komputer, 4(1), 218–224. https://doi.org/10.30865/klik.v4i1.1115

Yenila, F., Wahyuni, S., Rianti, E., Marfalino, H., & Gusmita, D. (2022). Sistem Pakar Deteksi Hemangioma pada Batita menggunakan Metode Hybrid. Jurnal Informasi Dan Teknologi, 4(4), 265–270. https://doi.org/10.37034/jidt.v4i4.250

Yulhendri, Y., Malabay, M., & Kartini, K. (2023). Correlated Naïve Bayes Algorithm to Determine Healing Rate of Hepatitis Patients. International Journal of Science, Technology & Management, 4(2), 401–410. https://doi.org/10.46729/ijstm.v4i2.776

Yuliani, W., Studi, P., Agama, P., Bukittinggi, D., Wati, S., Studi, P., Agama, P., Bukittinggi, D., Pesantren, P., & Thawalib, S. (2024). SISTEM PENDIDIKAN PESANTREN MODERN STUDI KASUS PENDIDIKAN PESANTREN DI PONDOK PESANTREN SUMATERA THAWALIB PARABEK. Jurnal Pendidikan Dan Keguruan, 2(1), 54–63.

Downloads


Crossmark Updates

How to Cite

Irfan, M. I. (2024). C4.5 Forward Selection Based Algorithm For Class Level Classification Of Nurul Jadid Islamic Boarding School Students. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(2), 699-712. https://doi.org/10.33395/sinkron.v8i2.13514