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Yusika, Andi
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Computer Science & IT

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Penerapan Metode MOORA pada Sistem Pendukung Keputusan Pemilihan Kepala Laboran Harianto, Kusno; Arfyanti, Ita; Yusika, Andi
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.v4i3.2288

Abstract

In the process of carrying out academic activities in every university, it is inseparable from the existence of tendik. In college, the head of the laboratory is in charge of ensuring the implementation of the use of the laboratory in supporting the ongoing learning process. The head of the laboratory is in charge of regulating work mechanisms and procedures in the laboratory unit. The importance of the role of the head of laboratory for tertiary institutions requires universities to have a head of laboratory in accordance with the implementation of the tasks and responsibilities given. The selection of the head of the laboratory is not only done based on the length of work at the tertiary institution, but also must be seen from the knowledge, abilities, expertise, decision making and competency certificates possessed. Therefore, we need a way to help solve problems, especially by using a computerized system. Decision support system is a computerized information system. Decision support systems are widely used for corporate organizations to solve problems in the process of making or supporting decisions. The results obtained from the application of the MOORA Method are that alternative A1 was chosen to be the head of the laboratory with a final score of 0.48
Pengolahan Data Penjualan Pakaian dengan Menerapkan Algoritma Apriori Data Mining Harpad, Bartolomius; Lailiyah, Siti; Yusika, Andi
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6478

Abstract

In its input, so far the use of sales transaction data has only been stored as an archive. In fact, the data can be utilized and processed into useful information to increase product sales or product innovation. In this case, sales data analysis needs to be carried out. With information about sales patterns, it can be seen what consumers buy most often. So from consumer purchasing patterns, decision making can also be done by the store related to the products to be sold. The data mining process in analyzing sales data, the Apriori algorithm can be utilized in the sales data process, namely by providing a relationship between sales transaction data. The data in question is sales data on clothes or pants that are ordered so that consumer purchasing patterns are obtained. Thus, the store can use the data to take suitable business actions. In this case, data can be used as a consideration to ensure the next sales strategy. The existence of information about sales patterns can find out what consumers buy most often. The products that are most often purchased by consumers are Hightwais Jeans Snow, Neda Tunik Full Buttons with 100% support for each product. by knowing the products that are most often purchased by consumers, the company can develop a strategy in determining the purchase of clothes and pants to maintain the availability of clothes and pants needed by consumers.
Co-Authors Harianto, Kusno Harpad, Bartolomius Ita Arfyanti Siti Lailiyah, Siti