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Journal : Building of Informatics, Technology and Science

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Penerapan Metode Simple Additive Weighting (SAW) dan SWARA dalam Pendukung Keputusan Pemilihan Penerimaan Karyawan Apoteker Salmon, Salmon; Arfyanti, Ita
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.746 KB) | DOI: 10.47065/bits.v4i1.1488

Abstract

Drugs are the most important needs in alleviating and overcoming complaints of illness suffered by patients, a patient will certainly go to the nearest drug store or pharmacy to ask for advice in drug selection to a pharmacist, as a pharmacy or drug store Of course, it is very dangerous to choose a pharmacist without proper knowledge and insight into medicines. Failure to choose a pharmacist will result in losses to the company or pharmacy as well as patient safety, so an expert understanding is needed to determine the standards of a pharmacist to be trusted, selecting employees using a decision support system is the right step to reduce the risk that will occur. in the future. The decision support system in this study uses the SWARA method in determining the weight of the criteria based on expert opinion and the Simple Additive weigh (SAW) method as a ranking method based on the highest value. The results of this study selected alternative A4 on behalf of Tika which has a value of 95% as the alternative that most meets the standards
Prediksi Persediaan Bahan Baku Makanan Menerapkan Algoritma Apriori Data Mining Salmon, Salmon; Azahari, Azahari; Yusnita, Amelia
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2563

Abstract

The company's operational activities are inseparable from the supply of raw materials that must be met every day to meet consumer demand. The restaurant uses raw materials, namely vegetables, raw meat which includes beef and chicken, yellow noodles and soun noodles, and the main seasoning. Sales of food at this restaurant quite a lot in a day. This will produce sales data that will continue to grow every day, but this data is useless if it is not processed again to get the knowledge contained in the data. The Apriori algorithm is a method for finding patterns of relationships between one or more items from a dataset. Thus the pile of data that has been collected can produce a sales pattern, from which the customer's buying interest in food can be identified. From the results of research using a data sample of 18 items with a minimum of 20% Support and 50% Confidence, it produces 5 interesting rules with the highest Support reaching 33.33% and the highest Confidence reaching 100%.
Co-Authors Achmad Sadzali Muftisjar Ahmad Rofiq Hakim Alfan Oktaviansyah Maulana Putra Amelia Yusnita Andi Yusika Andi Yusika Rangan Andi Yusika Rangan Arsita Aulia Abdul Rahman Awang H. Kridalaksana Azahari Azahari, Azahari Bagus Ari Ramadhan Bartolomius Harpad Christianus Pakembongan Dewi Rosita Fachry Abda El Rahman Harianto, Kusno Harpad, Bartolomius Heny Pratiwi Heny Pratiwi Ita Arfyanti Kusnandar Kusnandar Lathifaturrahmah Lathifaturrahmah Mardianus Muhamad Risky Ramadhani Muhammad Beny Hafis Muhammad Fahmi Muhammad Jumal Sandika Nur Haeda Nurhuda, Asep Nursobah, Nursobah Pitrasacha Adytia Rachmad Fauzi Rajiansyah Reza Andrea Rizky Meizal Saputra Roffi Maulidi Ronny Sadya Winda Sari Siti Lailiyah Siti Lailiyah Sugeng Suryani Suryani, Sugeng Tino Purniawan Yohanes Rombe Paran Yunita Yunita