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All Journal Sistemasi: Jurnal Sistem Informasi Creative Information Technology Journal Information System Journal (INFOS) Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Donni Prabowo
Universitas AMIKOM Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Journal : Information System Journal (INFOS)

 1 
PENERAPAN ALGORITMA APRIORI UNTUK REKOMENDASI BUKU PADA AMIKOM RESOURCE CENTER Donni Prabowo; Fitri Ramdani
Information System Journal Vol. 3 No. 1 (2020): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2020v3i1.207

Abstract

Amikom Resource Center each time producing recorded data, the activity is carried out for years so that it makes Big Data. The big data has the opportunity to produce information that can be useful for borrower and library management.One of the data mining techniques that can be used is the Apriori algorithm with the association rules technique. By using book lending transaction data, apriori algorithm will form association rules between books which are then used to determine book recommendations. In addition, the results of apriori analysis can also be used by the library as information to findout which books are often borrowed, the placement of the book layout in the Amikom library.The results showed that the association rules formed from 562 book lending transaction data in November 2019 used a minimum book frequency of 4 or a minimum support value of 0.7% and a minimum confidence of 80% resulting in 10 association rules with all rules having a positive correlation so that it can be used as a reference for giving book recommendations.
PREDIKSI PEMBERIAN KELAYAKAN PINJAMAN DENGAN METODE FUZZY TSUKAMOTO Nurul Ajeng; Bety Wulan Sari; Donni Prabowo
Information System Journal Vol. 3 No. 1 (2020): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2020v3i1.215

Abstract

Sentra Gadai is a place to borrow in Yogyakarta. Every day giving loans to customers. In granting a loan the Senta Gadai has a condition that is a loan size of 50% of the collateral price. If the loan is more than 50%, the Sentra Gadai sometimes still hesitate to provide the loan. The Loan Eligibility Prediction System is used to help the Sentra Gadai in making decisions by providing alternative estimates in determining the feasibility of borrowing by the customer. This prediction system uses Tsukamoto's fuzzy method in estimating the feasibility of loans to customers by having several criteria such as the duration of the loan, the price of the guarantee and the condition of the goods. This prediction system is based on desktop because it is only used by the Sentra Gadai and not to the public with the Java programming language and database using phpMyAdmin. Keywords : Prediction System, Loan,Fuzzy Tsukamoto
Co-Authors Aji Setiawan Anggit Dwi Hartanto Bety Wulan Sari Dewa Qintoro Ema Utami Fajri, Ika Nur Firman Hidayat Fitri Ramdani Gagah Gumelar HANIF AL FATTA Mu’alif Lihawa Norhikmah Norhikmah Nurul Ajeng Wiwi Widayani