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All Journal Jurnal Riset Informatika Jurnal Mantik Jurnal Information System
Wargijono Utomo
Krisnadwipayana University
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Design Of Sales Application With Data Mining Using Analysis Basket Market Methodand Apriori Algorithm In The Jetlag Coffee: Design Of Sales Application With Data Mining Using Analysis Basket Market Methodand Apriori Algorithm In The Jetlag Coffee Wargijono Utomo; Aga Dwijayanti Purnomo
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (940.187 KB)

Abstract

The tight competition in sales, made the owner of Jetlag Coffe must be smart in analyzing the market. In addition, the availability of goods sold is one of the factors that must be analyzed so that customer needs can be met. To support this, previous sales data can be used to analyze the market and customer needs with market basket analysis. Addition of a priori algorithms including the types of association rules in data mining, a priori algorithms that aim to find items sets run on a set of data. Based on this relationship, it is possible to promote goods with a pattern of attachment to the item. Consumers who purchase products will be interested in purchasing different products, than those usually purchased by other consumers before. By offering products contained in the pattern of sales of these products. By using this market basket analysis and a priori algorithm method, it is hoped that it can also optimize the database, increase sales, and minimize product promotions that have low sales levels. By minimizing the promotion of goods that are not bought, consumers will not be disturbed by the promotion of products that do not have a pattern of attachments, so that promotions will be more effective.
Clustering the Impacts of The Russia-Ukraine War on Personnel and Equipment Wargijono Utomo
Jurnal Riset Informatika Vol 5 No 2 (2023): Priode of March 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i2.512

Abstract

In post-pandemic recovery efforts, uncertainty arose due to the unresolved conflict between the Russia-Ukraine war. This conflict impacts world security stability and affects the economic, energy, and food sectors. This conflict also impacts humanity by causing death to civilians and military personnel, including children in Ukraine. The clustering analysis results of the impact of the Russian-Ukrainian war show losses and losses in personnel and war equipment, with three cluster optimization methods used through k-means. Of the two methods that can be recommended, namely elbow and Silhouette, both produce K=3. The profiling results show that losses or losses in Ukrainian personnel and war equipment are categorized into three clusters, with cluster one being the lowest category, cluster two being the very high category, and cluster three being the moderate category. This research is helpful for state agencies, international organizations (NGOs), and other stakeholders.
Aplikasi Mesin Pencari Berbasis Android Menggunakan Algoritma Boyer Moore Pada Daftar Obat Wargijono Utomo
Jurnal Information System Vol 2 No 2 (2022): November 2022 : Jurnal Information System (JIS)
Publisher : Prodi. Sistem Informasi Fakultas Teknik Unkris

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Abstract

Abstrak− Ensiklopedia adalah salah satu sarana pendokumentasian keaneragaman obat di Indonesia. Ensiklopedia obat adalah suatu buku yang dapat memberikan informasi kepada pengguna mengenai jenis apa saja yang dapat digunakan untuk menyembuhkan berbagai macam penyakit. Dengan ensiklopedia ini diharapkan pengguna dapat mengetahui informasi obat tersebut secara mendetail, mulai dari gambar obat tersebut, nama merk, nama perusahaan, dan cara pakai penggunaan obat tersebut. Metode penelitian yang digunakan adalah metode Algoritma Boyer Moore dan metode informatif, yaitu dengan mengumpulkan data – data berupa jurnal, skripsi dan buku – buku yang berhubungan dengan pembahasan yang diambil didalam skripsi tugas akhir ini. Penelitian ini menghasilkan prototype Aplikasi Ensiklopedia Data Obat berbasis android dengan menggunakan Algoritma Boyer Moore, dalam sistem pencariannya aplikasi ini dapat berguna untuk semua kalangan masyarakat pada umumnya dan bermanfaat untuk para apoteker dalam menjelaskan data obat dari segi baik dan buruknya obat serta komposisi kandungan obat pada umumnya.
Co-Authors Aga Dwijayanti Purnomo