4 research outputs found
MODEL LINEAR QUADRATIC WAKTU BERHINGGA DENGAN FACTOR DISCOUNT DAN OUTPUT FEEDBACK
No full textTIDAK AD
ANALISIS EFEKTIVITAS MESIN PENDINGIN PRODUKSI EDAMAME DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE)
No full textJika membutuhkan abstrak atau isi jurnal silakan menghubungi author melalui email [email protected] atau [email protected]
The Purposes of Tasybih Used in The Novel Sununuwati Kabul by Yasmina Khadra (Rhetoric Analysis)
No full textBalaghah Anaylis has a fundamental goal namely, to convey the beauty of the grammar of language conveyed by the author in prose to convey the intended purpose to the readers especially in the novel Sununuwati Kabul by Yasmina Khadra. The author of the novel Sununuwati Kabul uses the tasybih language style to convey ideas and goals. In this study, the researcher used a qualitative type of research in which this study was more of a description or explanation of existing data for the research method, the researcher used the descriptive analysis method. This method is done by explaining or describing the data, followed by analyzing the data using a predetermined theory. As for the data collection technique، the researcher uses the library research method or library research to explain the data in this study. The results of this study are that there are 65 data on tasybih language styles in the novel Sununuwati Kabul by Yasmina Khadra، agrodu wa fawaidut tasybih by Yasmina Khadra، there are five types namely explaining the state of musyabbah explaining the size of the state of musyabbah determining the state of musyabbah decorating the musyabbah and vilifying the musyabbah
Penerapan Data Mining untuk Memprediksi Jumlah Produk Terlaris Menggunakan Algoritma Naive Bayes Studi Kasus (Toko Prapti)
No full textToko 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
