Academic Journal

MODEL KLASIFIKASI REGRESI LOGISTIK BINER UNTUK LAPORAN MASYARAKAT DI OMBUDSMAN REPUBLIK INDONESIA

التفاصيل البيبلوغرافية
العنوان: MODEL KLASIFIKASI REGRESI LOGISTIK BINER UNTUK LAPORAN MASYARAKAT DI OMBUDSMAN REPUBLIK INDONESIA
المؤلفون: Oktaviyani Daswati, Indahwati Indahwati, Erfiani Erfiani, Anwar Fitrianto, Muftih Alwi Aliu
المصدر: Jurnal Lebesgue, Vol 5, Iss 2, Pp 964-973 (2024)
بيانات النشر: Universitas Bina Bangsa, 2024.
سنة النشر: 2024
المجموعة: LCC:Mathematics
مصطلحات موضوعية: classification, logistic regression, categorical, maladministration, klasifikasi, regresi logistik, biner, kategorik, maladministrasi, Mathematics, QA1-939
الوصف: A classification model is needed to predict data into the right class according to the pattern of previous data. Binary Logistic Regression can be used in building classification models, even though the independent variables are categorical scale data. Through binary logistic regression, it can also be seen which category of independent variables influences the response variable. Public complaint reports at the Ombudsman of the Republic of Indonesia are classified into reports that found maladministration and not. The Binary Logistic Regression model with several categorical independent variables related to the public complaint reports data applied resulted in a classification model with an overall classification accuracy of 66.08% and a sensitivity of 75.31% in estimating the presence of maladministration findings in the submitted public complaint reports. Based on the 95% confidence level of the model, it is known that the factors that influence the occurrence of maladministration are the Group of Reportees, the Substance of the Report, the Method of Submission, the Request for Confidentiality, and the Location of the Inspection Office. This model can be used as a reference to reduce the incidence of maladministration cases in public service providers by focusing socialization and education on categories that have a real influence on each of these factors
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
Indonesian
تدمد: 2721-8929
2721-8937
Relation: https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/702; https://doaj.org/toc/2721-8929; https://doaj.org/toc/2721-8937
DOI: 10.46306/lb.v5i2.702
URL الوصول: https://doaj.org/article/6da2d8e8c0864a108533ec6b74417b1c
رقم الانضمام: edsdoj.6da2d8e8c0864a108533ec6b74417b1c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:27218929
27218937
DOI:10.46306/lb.v5i2.702