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All Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Ade Rizka
Universitas Pembangunan Panca Budi, Medan, Sumatera Utara, Indonesia
Computer Science & IT Control & Systems Engineering

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Sistem Pemilihan Produk Terlaris Seller Flanelade dengan Metode MAUT Ade Rizka; Annisa Fadillah Siregar; Farid Akbar Siregar
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 1 (2023): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i1.122

Abstract

Online and offline buying and selling transactions require evaluation so that they can continue to grow. Products that have been sold have various categories, so the turnover of each product is different. This becomes the basis for evaluating future business strategies. However, turnover information for each product that is still processed manually will result in various risks such as inaccurate data, inaccurate calculation of category criteria, and inefficient time. The MAUT method is used in this research process because the calculation of the best-selling product category based on sales requires an appropriate and appropriate method. The criteria used in the calculation include price, sales, returns, and product evaluation. The results of the research on the MAUT method with 10 sample data on pillowcase products based on the color and pattern of the fabric that match the criteria can help calculate the highest turnover and produce alternative best-selling products. The product alternative with the highest final utility value, namely 0.308, is categorized as the best-selling product and has the highest sales turnover within 1 year. The calculation system is capable of processing the maximum amount of product data efficiently and quickly, so there are no obstacles such as manual calculations
Sistem Rekomendasi Jurusan Kuliah dalam Pengambilan Keputusan Menggunakan Metode MOORA Ade Rizka; Ranti Eka Putri; Yanti Yusman; Maulana Fajar
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i2.172

Abstract

The dependence of the current generation Z on technology is a momentum to develop technological facilities in various aspects of life. In the educational aspect, it is important to take advantage of technological facilities by implementing systems and methods to provide maximum results. The level of education has several stages that have different concentrations and are increasingly conical. SMK students often experience difficulties or obstacles in choosing a college major. This is because students focus more on popular majors, even though there is a possibility that these majors are not appropriate. The research uses the MOORA method to help provide alternative recommendations for majors based on criteria of knowledgeability, skills ability, professional interest, object interest, and talent in decision-making. The MOORA method processes criteria optimally with rules that are appropriate to the problem and data. Alternative college majors based on 14 choices of college majors. The results of the MOORA method research based on alternative data on college majors that match the criteria can provide recommendations for college majors that Panca Budi Vocational School (STM) students can choose to continue their education in tertiary institutions. System testing produces an alternative with the largest y value, namely 31.2 for the Law major. The alternative with the largest y value will be the system's recommended alternative. The recommendation system for college majors can overcome difficulties or obstacles for students in choosing a college major, thus facilitating the lecture process because students can focus more on studying.
Co-Authors Annisa Fadillah Siregar Farid Akbar Siregar Maulana Fajar Ranti Eka Putri Yanti Yusman