Aji, Galih Wasito
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Perancangan Sistem Informasi Penerimaan Siswa Baru berbasis Web (Studi Kasus: SLB Muhammadiyah Golokan Kecamatan Sidayu) Aji, Galih Wasito; Chotijah, Umi
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.530

Abstract

The admission system for new students in special schools, for example, SLB Muhammadiyah Golokan, is still carried out in a general way, where every prospective student and student's guardian needs to come directly to SLB Muhammadiyah Golokan to fill out the registration form. Admission of new students using this manual method makes it difficult for prospective students because it is less efficient, the long process, and the transportation costs are high, especially for special schools, not as much as public schools. From these problems, the authors create an online website-based information system for new student admissions to make it easier for prospective students and guardians to carry out the registration process. This student admission information system has several features: filling out registration forms, uploading data, validating data, and final reports. The method applied to the development of this system is the Waterfall method. The author uses the PHP programming language and chooses MySQL, which is used for the system database. The results of this study are a new student admissions information system based on an online website that makes it easier for student guardians to register their children at SLB Muhammadiyah Golokan without the need to attend directly school.
Data Mining Implementation For Product Transaction Patterns Using Apriori Method Aji, Galih Wasito; Devi, Putri Aisyiyah Rakhma
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12071

Abstract

In the era of information technology, entrepreneurs must have a good marketing strategy so that profits do not decrease. The decline in profits is happening at fast food restaurants for example fast food restaurants in Gresik city. This is due to the incompatibility of products sold with customers in Gresik city. Many promos given by marketing didn’t go well, resulting in sales targets not being achieved. To overcome this, good sales data analysis is needed to get products that match with type of customer. Using data mining with the Apriori algorithm is very appropriate for looking customer purchasing patterns. Association rules that are formed with support and confidence as benchmarks provide, a good reference regarding customer purchasing patterns. Research at fast food restaurant in Gresik was conducted by taking transaction data from September 2021 - September 2022 totaling 48,750 transactions with 134 transactions/day. The results of the research are customer buying patterns that are formed in 10 rules with highest percentage. The best rules that can be the best promos is: if customers buy Rice then buy Drinks with 11,19% support and 68,1% confidence. From the results of research that has been done, customer purchasing patterns have been obtained and can be used as a reference by marketing.