Klasifikasi Status Penerima Bantuan Program Keluarga Harapan Menggunakan Metode Analisis Diskriminan
DOI:
10.29303/jm.v5i2.5694Published:
2023-12-19Downloads
Abstract
Abstract
The Problem that often occurs in the distribution of PKH is that the assistance provided is not targeted correctly. Efforts that can be made to solve these problems are by ensuring that the criteria for receiving PKH are accurate and in accordance with the applicable criteria. Based on these criteria, there needs to be a classification of household status that receives PKH assistanceand those who do not. This classification process can be done using Discriminant Analysis. The result of classification using discriminant analysis for the case of PKH assistance recipients in NTB Province obtained an APER value of 0.2450, which means a classification error rate of 25.4% or the classification result is considered accurate
Keywords: Discriminant Analysis; APER; Classification; PKH.
Keywords:
Discriminant Analysis APER PKH ClassificationReferences
Afryanthi, N., Tiro, M, A., & Ahmar, A, S. (2020). Metode Analisis Diskriminan dalam Pengelompokan Kabupaten/ Kota di Provinsi Sulawesi Selatan Berdasarkan Indikator Indeks Pembangunan Manusia. Variansi, 2(1), 40-45.
Ananda, R. F., Harsyiah, L., & Alfian, M. R. (2023). Classification of Perceptions of The Covid-19 Vaccine Using Multivariate Adaptive Regression Spline. Jurnal Varian, 6(2),137-148.
Astriani, D. & Amelia, M. (2017). Aplikasi Analisis Diskriminan Untuk Menentukan Fungsi Pengelompokan Pada Program Pembagian Kartu Keluarga Sejahtera (KKS). Seminar Statistika FMIPA UNPAD, 2087-2590.
Diana., Susilawati, M., Sukarsa, I, K, G., & Kencana, I, P, E, N. (2023). Pengklasifikasian Status Gizi Balita Menggunakan Analisis Diskriminan. E-Jurnal Matematika, 12(1), 22-30.
Flury & Riedyl. (1998). Multivariate Statistics A Practical Approach. London: Chapmal and Hall.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E (2014). Multivariate Data Analysis Seventh Edition. New Jersey: Pearson Prentice Hall.
Hardle, W.K. & Simar, L. (2019). Applied Multivariate Statistical Analysis, Fifth Edition. New York: Springer.
Johnson, R. A., & Wichern D. W. Applied Multivariate Statistical Analysis. New Jersey: Prentice Hall, Inc. 2015.
Kusrini., & Hartati, S. (2009). Perbandingan Metode Nearest Neighbor dan Algoritma C4.5 untuk menganalisis Kemungkinan Pengunduran Diri Calon Mahasiswa di STMIK AMIKOM Yogyakarta. JURNAL DASI ISSN, 10(1), 1411-3201.
Lembang. F. K., Talukua. M. W., & Hasanudin. M. S. (2019). Misklasifikasi Penjurusan Mahasiswa Fmipa Universitas Pattimura Tahun Akademik 2016/2017 Menggunakan Metode Analisis Diskriminan Berganda. Journal of statistica and its applications, 1(2), 64-74.
Maulidya., Susanto. H. T., & Oktaviarina. A. (2015). Perbandingan Analisis Diskriminan dan Regresi Logistik (Studi Kasus Klasifikasi Konsumen Berdasarkan Tempat Berbelanja di Wilayah Taman Sidoarjo). Sidoarjo: Universitas Negeri Surabaya.
Ndangi, W. R. A., Resmawan., & Djakaria, I. (2019). Perbandingan Analisis Diskriminan Dan Regresi Logistik Multinomial, Jambura Jurnal of Mathematics, 1(2).
Rofiq, A., Wuryandari, T., & Rahmawati, R. (2016). Perbandingan Analisis Diskriminan Fisher dan Naïve Bayes untuk Klasifikasi Risiko Kredit (Studi Kasus Debitur di Koperasi Jateng Amanah Mandiri Cabang Sukorejo Kendal). Jurnal Gaussian, 5(1), 1-10.
Tjahaya, M.S., Raupong & Tinungki, G. M. (2022). Analisis Diskriminan Linear Robust dengan Metode Winsorized One- Step M-Estimator. Journal of Statistics and Its Application, 3(1).
Umam, K., Yuhasriati., & Suhartati. (2018). Analisis Diskriminan Terhadap Tingkat Ketertarikan Tempat Wisata di Indonesia Menggunakan Metode Fishers. Serambi Akademica, 6(1), 28-37.
License
Copyright (c) 2023 lisa harsyiah, Mustika Hadijati, Nurul Fitriyani

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.




