Ahyuna, A
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Sistem Pendukung Keputusan Pemilihan Kartu Internet Smartphone Menggunakan Metode MOORA dan WASPAS Sulistya Kusuma Wardhani, Annisa Risqi; Yahya, Sitti Rachmawati; Tanwir, Tanwir; S, Usanto; Ahyuna, A
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3039

Abstract

Currently the internet is the most widely used source of information among the public to find the information needed. The use of the internet can meet the needs of information sources that are fast, easy, precise, accurate and inexpensive. Through the internet can access a variety of information and knowledge according to relevant needs. The internet also has several advantages that are not shared by other conventional sources of information, access to information can be done with restrictions on distance, time and space which is part of the advantages of the internet. Making it possible to get the source of the information obtained. Thus, based on the results of a survey conducted by the previous author, involving 30 respondents who had used internet service packages before, the result was that 90% of respondents had difficulty making the right choice, according to the criteria they wanted. With a decision support system using the MOORA and WASPAS methods, it will be easier to find a solution to the problem of choosing an internet package based on the conditions offered by the various internet operators themselves. These criteria include speed, signal, internet quota, active period and price. Based on the calculations of these two methods, the best smartphone internet card title is alternative A1 with the name Telkomsel with a value for the MOORA method, which is 0.437, while the WASPAS method is 0.942 as the best alternative. So that people don't need to worry about choosing an internet card for smartphones that are good and have good access speeds
Pembentukan Pola Peminjaman Buku Pada Perpustakaan Dengan Menerapkan Metode CART dan Normalisasi Z-Score Ahyuna, A; Lasena, Marlin; Aminuddin, Rosihan; Ardimansyah, Ardimansyah; Azhar, Zulfi
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5238

Abstract

The library is a service place that is useful as a place to borrow all kinds of books to read or as reference material in the form of images, text or other forms. In simplifying book borrowing strategies, the library utilizes realistic borrowing data as an object for strategy discovery by exploring knowledge that can provide information to simplify the book borrowing system. Data Mining can be interpreted as data mining, where in the data mining process a data mining process is carried out which aims to find important, valuable and useful information in a very large collection of databases. If the data held is very large, it is necessary to carry out a preliminary process as a stage to help simplify the process carried out in data mining, or this process is known as data normalization. One method that can be used in the process of normalizing data is the Z-Score Normalization method. The Z-Score Normalization method is a process in the preprocessing stage by decomposing numerical attribute data which can change the values ​​in the data into a certain range. The Z-Score Normalization method itself can also be combined with other methods such as the CART method. The CART method is a method used to carry out the classification process in data mining. The classification process carried out using the CART method is based on the formation of a decision tree with the binary values ​​obtained. The CART method itself is a method used to assist in processing all types of data such as continuous, ordinal, nominal and other data. The results obtained from the Cart Method research can be applied to obtain book borrowing patterns or book association relationships in libraries in the form of rules which can provide important information about book borrowing patterns in the library