Analisis Faktor Yang Mempengaruhi Status Penerimaan Beras Keluarga Miskin Menggunakan Regresi Logistik Biner Di Kecamatan Langsa Barat

Abstract

Poverty is an inability to meet basic needs measured by expenditure, including rice consumption. Based on data from the Central Statistics Agency (BPS), as much as 95% of Indonesia's population consumes rice as the main food, with an average rice consumption of 102 kg/person/ year (BPS, 2013). Furthermore, BPS stated that almost 1/4 of them or around 25.95 million people were included in the category of the poor population as of March 2018. So the government made a policy to tackle the problem through the program of giving poor family rice (Raskin), namely subsidized rice assistance to households poor. However, in the implementation of the Raskin program, there was a deviation of around 40% of Indonesia's population with a middle-upper social-economic status receiving Raskin and 12.5% ​​of the population with a socio-economic status upon receiving Raskin. Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. The location of the study was conducted in the District of West Langsa because the district was one of the districts receiving the most Raskin in the City of Langsa. The data used in this study are primary data and secondary data. The results of the analysis show that the factors that influence Raskin's acceptance status are the level of education, type of floor, type of fuel, expenditure for food, and frequency of purchasing new clothes. The binary logistic regression model obtained is

Analisis Regresi Logistik Biner Untuk Menentukan Faktor Stillbirth Di Kabupaten Aceh Timur

“…Regresi logistik adalah sebuah pendekatan untuk membuat model prediksi [8]. Menurut [9], metode regresi logistik biner tersebut merupakan suatu metode analisis data yang untuk mencari hubungan antara variabel respon (y) yang bersifat biner dengan variabel prediktor (x). Nilai variabel Y = 1 menyatakan adanya suatu karakteristik dan Y = 0 menyatakan tidak adanya suatu karakteristik [10].…”