ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT
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)....
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Universitas Pattimura
2020-06-01
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1434 |
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| author | Amelia Amelia Fitra Mulyani Ulya Nabilla |
| author_facet | Amelia Amelia Fitra Mulyani Ulya Nabilla |
| author_sort | Amelia Amelia |
| collection | DOAJ |
| description | 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 showed that the factors influencing the status of Raskin's acceptance were education level, floor type, fuel type, food expenses, and frequency of purchasing new clothes with prediction classification prediction of 72.2%. |
| format | Article |
| id | doaj-art-1a65603f7ea74c5a84dbdf3e4046c38d |
| institution | DOAJ |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2020-06-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-1a65603f7ea74c5a84dbdf3e4046c38d2025-08-20T03:05:38ZengUniversitas PattimuraBarekeng1978-72272615-30172020-06-0114217518610.30598/barekengvol14iss2pp175-1861434ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARATAmelia Amelia0Fitra Mulyani1Ulya Nabilla2Universitas SamudraUniversitas SamudraUniversitas SamudraPoverty 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 showed that the factors influencing the status of Raskin's acceptance were education level, floor type, fuel type, food expenses, and frequency of purchasing new clothes with prediction classification prediction of 72.2%.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1434raskinbinary logistic regressiondistrict west langsa |
| spellingShingle | Amelia Amelia Fitra Mulyani Ulya Nabilla ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT Barekeng raskin binary logistic regression district west langsa |
| title | ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT |
| title_full | ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT |
| title_fullStr | ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT |
| title_full_unstemmed | ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT |
| title_short | ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT |
| title_sort | analisis faktor yang mempengaruhi status penerimaan beras keluarga miskin menggunakan regresi logistik biner di kecamatan langsa barat |
| topic | raskin binary logistic regression district west langsa |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1434 |
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