Garuda - Garba Rujukan Digital

Rismayanti

Universitas Harapan Medan

Author-ID : 3331196

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Library & Information Science

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Analisis Perbandingan Menggunakan Metode Waspas (Weight Aggregated Sum Product Assesment) dan AHP(Analitycal Hierarchy Process) Pemilihan Aplikasi Smartphone Untuk Anak Tingkat SD Emma Yurispa Siregar; Sumi Khairani; Rismayanti
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 1 No. 2 (2022): September 2022
Publisher : LKP Unity Academy

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The use of applications in elementary school level children has had a bad impact because they are addicted to playing online games, social media and spending their time just playing applications on the smartphone. The problem in this study is the bad effect of an application on a smartphone for elementary school children. During the current pandemic, smartphones are tools used by children in the learning process, most children today have many minors who abuse an application on the smartphone, which causes them to no longer focus on learning but are addicted to using smartphones, namely because of the application. what they like, as a result they are lazy to learn. Therefore the authors designed a decision support system on comparative analysis using two methods, namely the WASPAS and AHP methods with specified criteria. The two methods are compared to find out which method is more effective, easy and fast in the calculation process that can help in determining which applications on smartphones are good to use for children at the elementary level.

Implementasi Data Mining Pada Hasil Penjualan Makanan Beku Menggunakan K Means Clustering Nenna Irsa Syahputri; Siti Sundari; Rismayanti
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 2 No. 2 (2023): Mei 2023
Publisher : LKP Unity Academy

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Maintaining inventory stock so that there are no empty items is one way to maintain customer satisfaction. In today's competitive business world, we are required to always develop our business in order to survive in the competition, especially in sales competition, it requires entrepreneurs to find a pattern that can increase sales and marketing within the company, one of which is by utilizing sales data. Applying clustering data mining techniques so that it can help NCekma Frozen stores in determining strategies for determining frozen food stocks using the K Means algorithm.

Penerapan Data Mining dengan Metode Algoritma Apriori untuk Menentukan Pola Pembelian Froozen Food Siti sundari; Rismayanti; Khairunnisa
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 2 No. 2 (2023): Mei 2023
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar

Maintaining inventory stock so that there are no empty items is one way to maintain customer satisfaction. In today's competitive business world, we are required to always develop our business in order to survive in the competition, especially in sales competition, it requires entrepreneurs to find a pattern that can increase sales and marketing within the company, one of which is by utilizing sales data. Applying clustering data mining techniques so that it can help NCekma Frozen stores in determining strategies for determining frozen food stocks using the K Means algorithm.

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