64 research outputs found
Impact of COVID-19 on the welfare of rural households in Nepal (Round 1)
No full textBy Muzna Alvi and Prapti Barooah (EPTD
Emotional well-being during the COVID-19 pandemic: Insights from India and Nepal
No full textPrepared by Prapti Barooah 29th IAFFE Annual Conference 25th June 202
Impact of COVID-19 on the welfare of rural households in Nepal (Round 2)
No full textBy Muzna Alvi and Prapti Barooah (EPTD
Women's access to agriculture extension amidst COVID-19: Insights from India and Nepal
No full textPrepared by Muzna Alvi, Prapti Barooah and Shweta Gupt
Women’s access to agriculture extension amidst COVID-19: Insights from India and Nepal
No full textPrepared by Muzna Alvi, Prapti Barooah and Shweta Gupt
Hello, can you hear me? Speaker phones and response bias in phone surveys during Covid-19
No full textPrepared by Muzna Alvi, Shweta Gupta, and Prapti Barooah New Delhi, 25th June 202
How has COVID-19 impacted food security? Insights from women farmers in Nepal
No full textPrepared by Prapti Barooa
The Gendered Impacts of COVID-19 in Uganda
No full textPrepared by Elizabeth Bryan. Presented on behalf of the IFPRI FAO-GCAN phone survey team: Naureen Karachiwalla, Claudia Ringler, Harriet Mawia, Muzna Alvi, Shweta Gupta, Prapti Barooah and Homeland Data Service
Penerapan Data Mining untuk Memprediksi Jumlah Produk Terlaris Menggunakan Algoritma Naive Bayes Studi Kasus (Toko Prapti)
Get PDFToko Prapti is a small privately owned company that sells basic necessities,. So far, the prapti shop produces sales data every day, but the results obtained show that the prapti shop has not maximized the data so that it becomes a data accumulation. Therefore, the researcher conducted a study on product sales data by utilizing and applying data mining using the nave Bayes classifier algorithm to determine the interest in purchasing goods at the prapti shop. data. In this study, the author uses the waterfall system development method. The author implements this research using a web programming language, namely PHP, using the CodeIgniter framework with MySQl database. The system built with the nave Bayes algorithm includes product sales data, nave calculations of each attribute and reporting. This system produces 4 attributes that greatly affect the results of the classification. The attributes used in this research are the attributes are quarter 1, quarter 2, quarter 3 and quarter 4. Prediction results obtained using the nave Bayes algorithm produce information that can be used by stores to identify the best-selling products purchased by consumers so that it can help prapti shops to find and determine the target market more accurately. Sources of data taken from the previous 1 year with system accuracy using a confusion matrix resulted in 83.3% accuracy, 84.2% precision and 88.9% recall. Â Â Â Keywords : Data mining, Nave bayes Classifier, Code Igniter, Confusion Matri
Assessing the impact of COVID-19 on rural women and men in Kenya
No full textThe first wave of COVID-19 cases occurred between June and August 2020. A second wave occurred between October and December 2020 and by the end of December 2020, the number of COVID-19 cases was 92 459. The third rise in cases occurred between January and March of 2021 and partial lockdowns were reimposed in the most affected counties of the country, including mobility restrictions and curfews. This brief releases data on the gender impacts of the COVID-19 pandemic on rural households/livelihoods and the agricultural sector in Kenya.Non-PRIFPRI5; Feed the Future Initiative; GCAN; CRP2; G Cross-cutting gender themeAFR; EPTD; PIMCGIAR Research Program on Policies, Institutions, and Markets (PIM
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