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Pengaruh Periklanan, Citra Merek Terhadap Keputusan Pembelian Sepeda Motor Honda Vario Fi Di Pematangsiantar Miranda Saragih, Yulia; Sitinjak, Maria Cosmas Salsa; Juliansyah, Rizky; Siregar, Sonia Arnsiah; Saragih, Liharman
Jurnal Sains dan Teknologi Vol. 4 No. 3 (2023): Jurnal Sains dan Teknologi
Publisher : CV. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/saintek.v4i3.1140

Abstract

− Motorcycles as one of the automotive industries in Indonesia grew rapidly within seven years after the 1998 monetary crisis. In 2005 the population of motorcycles in Indonesia had exceeded 25 million units, while motorcycle sales data until the end of 2006 showed a relatively slow growth rate. tall. Motorcycles are the prima donna for most Indonesian people. The results of the analysis obtained t values ​​> from t table with a regression coefficient value of 2.624 > 2.009. it can be concluded that the advertising variable (X1) partially influences the purchase decision (Y). Purchase decisions are influenced by advertising by 48.8%, while the remaining 51.2% is explained by other variables not examined. This means that advertising has a positive effect on purchasing decisions for the Honda Vario FI in Pematangsiantar City. Simultaneously testing the variable Advertising and Work brand image on purchasing decisions is carried out by the f test. The test results with the help of SPSS obtained an F value of 33.87 with a significance of 0.000. The F value obtained > 3.20 and supported by a significance value < 0.05 indicates that the two independent variables together have a positive and significant influence on the dependent variable. This is supported by the results of testing the coefficient of determination which shows that the magnitude of the influence of the two variables simultaneously is 48.8% which can explain the employee purchasing decision variable. While the remaining 51.2% is the influence of other variables not examined.
Implementasi Data Mining Menggunakan Algoritma Hash Based Terhadap Pola Pengeluaran Obat Pada Rumah Sakit Pertamina Tarakan Febriyan, Febriyan; Juliansyah, Rizky; Sinawati, Sinawati; Anto, Anto
Journal of Big Data Analytic and Artificial Intelligence Vol 7 No 1 (2024): JBIDAI Juni 2024
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v7i1.41

Abstract

The role of information systems has expanded to other layers of life, especially in the health sector. Improving service and performance productivity in the health sector, including pharmacies. This study identifies drug dispensing patterns at the Pertamina Tarakan Hospital.This research was carried out in several stages. First, create tabular transaction data. Second, determine minimum support. Third, determine the memory address. Fourth, calculate the minimum confidence. Fifth, calculate confidence, and last, make a decision.This study focuses on Rs Pertamina Tarakan to identify common spending patterns. For example, in the previous 12 months, what drug combination was most commonly administered to patients. Knowing dispensing patterns allows Rs Pertamina Tarakan to arrange the layout of medicines, resulting in more optimal and excellent service in the medicine administration department. The results showed that in 2022, three pairs of drug combinations placed close together, namely Ranitidin, Urdahex Cap first pair, Urdahex Cap, Folamil genio kap, Propylathiorasil second pair, and Propylathiorasil, Ranitidin, and Urdahex Cap  third pair.