THALASSEMIA MINOR SCREENING APPLICATION USING THE C4.5 METHOD BASED ON LARAVEL
Abstract
Thalassemia is an inherited blood disorder that causes anaemia and weak red blood cells. Thalassemia minor is a type of thalassemia where the patient is a carrier of thalassemia and only experiences mild anaemia. To prevent an increase in the number of thalassemia cases, a screening process is held for an individual to confirm whether there is a thalassemia carrier in the body. In providing screening in Banyumas Regency, the Unsoed Medical Faculty Thalassemia Research Team encountered several problems, namely that the screening results could only show whether an individual was a carrier of thalassemia minor or not. This causes a problem because a good screening result is a probability. The second problem is the absence of an integrated information system for thalassemia control in Banyumas Regency. The solution to these two problems is to build a thalassemia minor screening application. The application uses the C4.5 data mining method to calculate the likelihood of thalassemia minor in individuals. The application is made website-based using Laravel to speed up website development. The system also uses a web service to be able to access the created C4.5 algorithm.
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References
D. K. Rediyanto, “Deteksi Dini Thalassemia,” Pratista Patol., vol. 8, no. 1, 2023.
F. A. Khikmah dan H. S. Prijopranoto, “Prevalensi Thalasemia Beta Minor Dengan Menggunakan Indeks Mentzer Pada Pasien Anemia Suku Sabu Di Rsud Sabu Raijua,” Journals Ners Community, vol. 13, no. 2, hal. 301–306, 2022.
L. Rujito, Q. Santosa, D. W. D. Lestari, E. Sutrisna, dan A. T. Hapsari, “Pelatihan Deteksi Karier Thalassemia kepada Bidan di Banyumas,” Din. J. Pengabdi. Kpd. Masy., vol. 5, no. 5, hal. 1074–1078, 2021, doi: 10.31849/dinamisia.v5i5.4659.
D. Y. Liliana, H. Maulana, dan A. Setiawan, “Data Mining untuk Prediksi Status Pasien Covid-19 dengan Pengklasifikasi Naïve Bayes,” Multinetics, vol. 7, no. 1, hal. 48–53, 2021, doi: 10.32722/multinetics.v7i1.3786.
Hozairi, Anwari, dan S. Alim, “Implementasi Orange Data Mining Untuk Klasifikasi Kelulusan Mahasiswa Dengan Model K-Nearest Neighbor, Decision Tree Serta Naive Bayes,” Netw. Eng. Res. Oper., vol. 6, no. 2, hal. 133, 2021, doi: 10.21107/nero.v6i2.237.
P. T. L. Dewi, F. Dewanta, dan M. A. Nugroho, “Implementasi Machine Learning Model Deployment Pada Website Pemantauan Kondisi Sungai Citarum Menggunakan Platform-,” e-Proceeding Eng., vol. 8, no. 6, hal. 3064–3074, 2022.
S. Ucha Putri, E. Irawan, F. Rizky, S. Tunas Bangsa, P. A. -Indonesia Jln Sudirman Blok No, dan S. Utara, “Implementasi Data Mining Untuk Prediksi Penyakit Diabetes Dengan Algoritma C4.5,” J. Penerapan Sist. Inf. (Komputer Manajemen), vol. 2, no. 1, hal. 39–46, 2021.
S. Febriani dan H. Sulistiani, “ANALISIS DATA HASIL DIAGNOSA UNTUK KLASIFIKASI GANGGUAN KEPRIBADIAN MENGGUNAKAN ALGORITMA C4.5,” J. Teknol. dan Sist. Inf., vol. 2, no. 4, hal. 89–95, 2021.
K. F. Irnanda, D. Hartama, dan A. P. Windarto, “Analisa Klasifikasi C4.5 Terhadap Faktor Penyebab Menurunnya Prestasi Belajar Mahasiswa Pada Masa Pandemi,” J. Media Inform. Budidarma, vol. 5, no. 1, hal. 327, 2021, doi: 10.30865/mib.v5i1.2763.
F. A. Fauzi dan F. Darmawan, “Pembangunan Aplikasi E-Commerce berbasis Website Menggunakan Laravel,” Pasinformatik, vol. 2, no. 6, hal. 1–7, 2023.
D. Aipina dan H. Witriyono, “Pemanfaatan Framework Laravel Dan Framework Bootstrap Pada Pembangunan Aplikasi Penjualan Hijab Berbasis Web,” J. Media Infotama, vol. 18, no. 1, hal. 36–42, 2022.
P. B. Ramadhanu dan A. T. Priandika, “Rancang Bangun Web Service Api Aplikasi Sentralisasi Produk Umkm Pada Uptd Plut Kumkm Provinsi Lampung,” J. Teknol. dan Sist. Inf., vol. 2, no. 1, hal. 59–64, 2021, [Daring]. Tersedia pada: http://jim.teknokrat.ac.id/index.php/JTSI.
Baharuddin, H. Wakkang, dan B. Irianto, “Implementasi Web Service Dengan Metode Rest Api Untuk Integrasi Data Covid 19 Di Sulawesi Selatan,” J. Sintaks Log., vol. 2, no. 1, hal. 12–22, 2022, [Daring]. Tersedia pada: https://jurnal.umpar.ac.id/index.php/sylogDOI:https://doi.org/10.31850/jsilog.v2i1.
N. P. Dewi dan R. A. Fadlillah, “Rancang Bangun Sistem Informasi Manajemen Inventori Berbasis Web dan Android,” J. Teknol. Inf., vol. 5, no. 1, hal. 32–41, 2021, doi: 10.36294/jurti.v5i1.1791.
Herfandi, M. Julkarnain, dan M. Hanif, “Desain dan Implementasi RESTful Web Services Untuk Integrasi Data dan Aplikasi,” J. Inform. Teknol. dan Sains, vol. 4, no. 1, hal. 36–41, 2022.
N. Zulkarnaim, S. Cokrowibowo, dan Wahyudi, “Pengembangan Web Service Algoritma Data Mining Menggunakan Metode Rest API,” Konf. Nas. Ilmu Komput., hal. 385–388, 2021, [Daring]. Tersedia pada: https://prosiding.konik.id/index.php/konik/article/view/83.
I. Agustina, J. Eska, I. Ramadona Harahap, P. Studi Sistem Informasi, dan S. Tinggi Manajemen Informatika dan Komputer Royal Kisaran, “Application of C4.5 Algorithm for Determination of the Community of Recipients of Prosperous Family Cards in the Village of Sukaramai Based on Web,” J. Tek. Inform., vol. 3, no. 2, hal. 211–217, 2022, [Daring]. Tersedia pada: https://doi.org/10.20884/1.jutif.2022.3.2.164.
Y. I. Kurniawan, A. Fatikasari, M. L. Hidayat, dan M. Waluyo, “Prediction for Cooperative Credit Eligibility Using Data Mining Classification With C4.5 Algorithm,” J. Tek. Inform., vol. 2, no. 2, hal. 67–74, 2021, doi: 10.20884/1.jutif.2021.2.2.49.
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