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All Journal Infotech Journal JIKO (Jurnal Informatika dan Komputer) INTI Nusa Mandiri JoMMiT : Jurnal Multi Media dan IT Dedikasi: Jurnal Pengabdian kepada Masyarakat TIERS Information Technology Journal Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Abdi Teknoyasa
Ika Kurniawati
Universitas Nusa Mandiri
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

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Journal : Infotech Journal

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Perancangan Sistem Informasi Peminjaman Kredit Berbasis Website Pada Koperasi Cipta Bina USAHA Heriyanto Heriyanto; Ika Kurniawati
INFOTECH journal Vol. 7 No. 1 (2021)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v7i1.1077

Abstract

Abstract Cooperatives are one of the aspects that support the community's economy, especially low and middle economic communities. This existing cooperative needs to be developed so that the cooperative can provide good services to the community. Cipta Bina Usaha Savings and Loans Cooperative is one of the cooperatives that helps support the community's economy by providing storage and lending services at low interest rates. The existing data processing information system is felt to be ineffective and inefficient because the existing system is still stand alone. Therefore, it is necessary to develop a credit lending information system at the Cipta Bina Usaha Cooperative which is based on a client server with the aim of accelerating and simplifying the borrowing process and data processing at the Cipta Bina Usaha Cooperative. In the development of this system, the data processed is master data consisting of member data and administrator data as well as transaction data consisting of data on saving deposits, taking deposits, borrowing and data on loan payments. The result of this research and design is a credit lending information system at the Cipta Bina Usaha Cooperative which is based on a client server where the user consists of three parts, namely the chairman of the cooperative, administration and the cashier section. Based on the tests that have been carried out, the system built can help process data effectively and efficiently, both processing member data, data on savings, loans and loan payments.
IMPLEMENTASI ASSOCIATION RULES MENENTUKAN POLA PEMILIHAN MENU DI THE GADE COFFEE & GOLD MENGGUNAKAN ALGORITMA APRIORI Fachri Amsury; Ika Kurniawati; Muhammad Rizki Fahdia
INFOTECH journal Vol. 9 No. 1 (2023)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v9i1.5357

Abstract

ABSTRACT The Gade Coffee & Gold produces a lot of sales transaction data every day that is stored in the database, but this data has not been maximized in conducting analysis to produce new knowledge, based on this problem it is necessary to carry out an analysis using a data mining approach and applying association techniques. Data mining is able to analyze data into information by applying association techniques to find several purchasing patterns that are useful to assist companies in the process of making business decisions such as determining product cross-selling, determining promotional programs, and so on. This study aims to determine the pattern of combinations of food and drinks ordered by customers by applying the Apriori method based on sales transaction data for the month of September 2022. The results show that there are 16 association rules with the highest support value which is 6.8% with a confidence value of 85 .7% and the Lift value is 111%, with the rule formed that if a customer buys an Almond Croisant product, there is a chance that the customer will also buy Van Lenning – Iced products. Keywords: Data Mining, KDD, Association, Apriori ABSTRAK The Gade Coffee & Gold setiap harinya menghasilkan banyak data transaksi penjualan yang tersimpan dalam basis data, namun data tersebut belum dimaksimalkan dalam melakukan analisa untuk dapat menghasilkan suatu pengetahuan baru, berdasarkan masalah tersebut perlu dilakukan sebuah analisa dengan menggunakan pendekatan data mining serta menerapkan teknik asosiasi. Data mining mampu menganalisa data menjadi sebuah informasi dengan menerapkan teknik asosiasi dapat menemukan beberapa pola pembelian yang berguna untuk membantu perusahaan dalam proses pengambilan keputusan bisnis seperti menentukan cross-selling produk, menentukan program promosi, dan sebagainya. Penelitian ini bertujuan untuk menentukan pola kombinasi dari makanan dan minuman yang dipesan oleh pelanggan dengan menerapkan metode Apriori berdasarkan data transaksi penjualan periode bulan September 2022. Hasil penelitian menunjukkan sebanyak 16 aturan asosiasi dengan nilai support tertinggi adalah 6,8% dengan nilai confidence sebesar 85,7% dan nilai Lift 111%, dengan aturan yang terbentuk yaitu apabila pelanggan membeli produk Almond Croisant peluang pelanggan juga membeli produk Van Lenning – Iced. Kata Kunci: Data Mining, KDD, Asosiasi, Apriori
Co-Authors Ahmad Mustajib Cahyani Budihartanti Fachri Amsury Heriyanto Heriyanto Heriyanto Heriyanto Heriyanto Laila Septiana Muhammad Rizki Fahdia Muhammad Rizki Fahdia Nur Afifah Tungkot Siregar Vivi Rahayu