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MENGOPERASIKAN MICROSOFT EXCEL

Citra Siahaan; Meylania Sumarauw; Revalin Gultom; Sarah Ottay; Aria Linggot +5 more

VitaMedica : Jurnal Rumpun Kesehatan Umum• 2024 •STIKES Columbia Asia Medan

Microsoft Excel is a software that is very important in processing data, both in the world of education, business and daily needs. However, even though many people often use it, quite a few have difficulty operating some of the important features provided by Excel. Some problems that often arise include difficulties in using complex formulas, lack of understanding of basic and advanced functions, and complicated data format settings. This ignorance results in decreased user productivity, inaccurate data produced, and the time required to complete tasks becomes longer.

https://doi.org/10.62027/vitamedica.v2i2.237

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RUMUS DAN FUNGSI MICROSOFT EXCEL

Junita Winni Palondongan; Neshia Ananta; Mahanaim Mandey; Cristania Kalisang; Femi Pasulle +6 more

Jurnal Praba : Jurnal Rumpun Kesehatan Umum• 2024 •STIKES Columbia Asia Medan

In the current era of digitalization, Microsoft Excel has become one of the most popular and essential software in various fields, from business, finance, to science. The ability to process data effectively and be efficient is the key to success in various jobs. Excel formulas and functions are very important features in processing this data. By understanding and mastering Excel formulas and functions, someone can perform calculations, data analysis and data visualization more accurately and quickly.

https://doi.org/10.62027/praba.v2i5.224

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Pelatihan Microsoft Office Excel Sebagai Upaya Peningkatan Kompetensi Siswa SMKN 1 Praya Tengah Dalam Mengolah Data

Heru Karuniawan; Sofiansyah Fadli; Baiq Rianis

Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat• 2024 •Asosiasi Riset Teknik Elektro dan Informatika Indonesia

The right information can be obtained with good data management. For accurate business decision making, organizations need this information. It is very important for vocational school students to understand data processing so that they can improve their performance in the industrial sector. As a strategy for preparing vocational school students for the world of work, training in using Microsoft Office Excel 2013 for data processing is very useful. At SMKN 1 Praya Tengah, students are involved as partners in this training. The program begins with a pre-test to measure students' initial abilities, followed by scheduling training with partners, creating material based on pre-test results, implementing training, and closing with an evaluation of learning outcomes. The results show students' ability to use various formulas in Microsoft Office Excel 2013 to process data. This contributes to improving graduate skills and the quality of education at SMKN 1 Praya Tengah.

https://doi.org/10.61132/bumi.v2i3.149

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Pembuatan Tabel Microsoft Excel Dan Rumus Fungsi Microsoft Excel Untuk Data Kesehatan

Maureen Tumalun; Melky Pangemanan; Augustinus Robin Butarbutar

Jurnal Praba : Jurnal Rumpun Kesehatan Umum• 2024 •STIKES Columbia Asia Medan

 Microsoft Excel is a versatile tool for data analysis that can be used in various contexts, including health. This study focuses on the use of Excel to manage and analyze health data. The process begins with the creation of Excel tables that include health data such as weight, height, blood pressure, and blood sugar levels. Next, we apply various Excel formulas and functions to interpret this data. Examples include the use of the SUM function to sum data, the AVERAGE function to calculate averages, and the IF function to create conditional statements to determine a person's health status based on certain parameters. The results show that Microsoft Excel is a powerful and effective tool for managing health data and provides valuable insights for health analysis. This research provides a strong foundation for the use of Excel in the health context and highlights the importance of a thorough understanding of Excel formulas and functions for accurate and informative data analysis.    

https://doi.org/10.62027/praba.v2i2.96

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