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All Journal Jurnal Riset Informatika
Merliani Ivone S
STISIP Widuri
Computer Science & IT

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EXAMINING STUDENTS' BEHAVIORAL USE OF CAMPUS JOURNALS WITH THE TECHNOLOGY ACCEPTANCE MODEL APPROACH Agus Pratama W; Asrul Sani; Siti Aisyah; Merliani Ivone S; Agus Budiyantara
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (842.031 KB) | DOI: 10.34288/jri.v4i2.158

Abstract

Understudy conduct is an action completed by understudies for every person. Students who visit campus journal websites are essential in terms of journal accreditation aspects, where this is a benchmark for increasing the journal's potential as a reference. However, some factors influence it where the frequency of students visiting campus journal websites is not as expected in exploring journals, and the enthusiasm of students to download articles is still below the desired expectations. It causes the potential for the journal to obtain national accreditation at a small percentage, and students may think that there are very few reference sources for journals, so it is less attractive on the campus journal website system. Data collection methods were used in this study, such as interviews, literature study, and questionnaires. Meanwhile, evaluate the campus journal website system on student behavior using the Technology Acceptance Model (TAM) with four variables: perceived ease of use, usefulness, attitude toward using, and behavioral intention to use. This method makes the user feel it is easier to access the campus journal website; then, the user feels the campus journal website can provide benefits and usability. The user has a great curiosity about accessing the campus journal, and finally, the user wants to access the website and take the initiative to influence. other users in to access the same
SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM Samuel Samuel; Asrul Sani; Agus Budiyantara; Merliani Ivone S; Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.013 KB) | DOI: 10.34288/jri.v4i4.194

Abstract

The company does not yet know the pattern of consumer purchases because, so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. The problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database approach. Thus, the company can determine consumer habits in buying goods from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were received, of which the best were PN 0441, SK 0175 ⇒ SK 0530, and SK 0175, SK 0283, ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are often bought together.
Co-Authors Agus Pratama W Asrul Sani Budiyantara, Agus Frieyadie Samuel Samuel Siti Aisyah