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All Journal Buana Information Technology and Computer Sciences (BIT and CS) Jurnal Accounting Information System (AIMS) Jurnal Dimamu Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal)
Topan Setiawan
Universitas Ma'soem
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Other

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Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Menemukan Frequent Itemset Penjualan Sneakers Topan Setiawan
Jurnal Accounting Information System (AIMS) Vol. 6 No. 2 (2023)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v6i2.786

Abstract

Every small or large company that wants to stay afloat in an increasingly fierce business competition requires the right sales strategy, including at the Yasa Collection Sport Store. One way is to perform data mining analysis on the sales transaction database using the a priori algorithm of the association rule method. This method makes it possible to find combinations of items that often (often) appear from a collection of items (itemset), so that store management knows market conditions, consumer tastes and sales patterns. Based on the results of research and data analysis conducted with a minimum support value of 0.33 and a minimum confidence value of 0.80, three association rules were obtained, in which the frequent itemset information that had been found using the a priori algorithm, could be utilized by the store management in determining sales strategies, such as discount promotion, packaging and stocking goods.
Perbandingan Efektivitas Sistem Pembelajaran Luring dan Daring Menggunakan Metode Use case dan Sequence Diagram Ricky Rohmanto; Topan Setiawan
INTERNAL (Information System Journal) Vol. 5 No. 1 (2022)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v5i1.506

Abstract

Ma’soem University is a formal educational institution that has implemented an offline and online learning system. This study aims to assess the effectiveness of the two learning systems globally and determine which learning system is more suitable to be applied to students and propose improvements to the learning system that is considered less effective. The research method used is a survey in which respondents are asked eight questions related to both learning systems, the technique of analysis and data processing is done by using descriptive statistics, meanwhile the proposed system improvement is visualized using use case diagrams and sequence diagrams. Based on the research results, the respondents stated that the offline learning system was considered more effective with a percentage of 64,99%, compared to online learning system with a percentage of 31,52%, so it is proposed to improve the online learning system by building an e-learning system.
Co-Authors Anggit Suryopratomo Heryana, Nono M. Fandra Yudha M. Imam Maulana Miki Wijana Muhamad Fauzi Fadilah Muhamad Wirapermana Muhyidin, Yusuf Priyatna, Bayu Ricky Rohmanto