Harefa, Misael Oktavianda
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Penerapan Metode K-Means Dalam Pengelompokkan Buku Untuk Menentukan Minat Baca Pada Perpustakaan Daerah Kota Medan Harefa, Misael Oktavianda; Aripin, Soeb
Bulletin of Artificial Intelligence Vol 3 No 1 (2024): April 2024
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v3i1.129

Abstract

The library is a facility that functions as an information center, a source of various knowledge, research, recreation and cultural preservation. The Medan City Regional Library is a library organized by the regional government using general funds which aims to serve the public in obtaining comprehensive information without distinguishing gender, religion, race, age, occupation and position. In 2021 the Medan city regional library has 28 thousands of titles books in several categories. Of the many books contained in the library, a system must be needed where the system is useful for both the library and the reader in maximizing grouping of books and searching books easily by the reader, therefore the K-Means Clustering method is used, where the method This is a method in data mining that processes clustering data that is grouped into one or more clusters. In this study, 100 samples of book category data were used in the Medan City library. This study groups the data categories into 3 clusters, namely the most desirable, desirable and least desirable. The results of this method process will find out the most popular book category data so that in the future it will be a consideration for the librarian to increase the collection of books at the Medan City regional library. The process of calculating the K-Means method in grouping books is only carried out until the 2nd iteration because iteration -3 gets the same value. In Cluster 1 (Most Interested) choose 6 categories of books including Category 020-Library and Information, 070-Mass Media, Journalism and Publication, 050-Psychology, 420-Indonesian, 600-Technology, 650-Management. In Cluster 2 (Desired) choose 16 categories of books including 000-General Publications and General Information, 030-Encyclopedias and Books, 040-Biography, 050-Magazines and Journals, 090-Manuscripts and Rare Books, 210-Islamic Religion, 300-Science Social, 320-Political Science, 330-Economics, 410-Indonesian, 510-Mathematics, 620-Technical Sciences, 770-Photography and Photos, 780-Music, 910-General Travel Geography, 930-Old World History. And in cluster 3 (Less Interested) 78 categories of books were selected. 10 of them 010-Bibliography, 060-Association of Organizations and Museums, 080-Quotes, 100-Philosophy and Psychology, 110-Mathematics, 120-Epistimology, 030-Parapsychology and Occultism, 040-Philosophical Thought, 060 Logical Philosophy, 070-Ethics.
PERANCANGAN APLIKASI KOMPRESI PADA APLIKASI PEMUTAR AUDIO DENGAN MENGGUNAKAN METODE GOHECOTWO COMPRESSION Harefa, Misael Oktavianda; Hondro, Rivalri Kristianto; Yanny, Anda
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 4 (2024): Volume 09 No. 04 Desember 2024 In Press
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i4.18502

Abstract

Many people enjoy listening to music on their mobile devices, as cited from Kompas Tekno. Audio files can take up a lot of storage space, especially high-quality audio files. Another issue is that although there are many audio player applications available, only a few offer audio compression features, making it difficult for users to compress their audio files. The existing audio compression applications often do not utilize optimal compression methods, which can result in poor audio quality or low compression rates. Moreover, although many audio player applications are available, few provide audio compression features, making it hard for users to compress their files. Additionally, the current audio compression applications do not often use optimal compression methods, leading to poor audio quality or low compression efficiency. One solution to this problem is using an audio compression application that can reduce the size of audio files without significantly reducing the audio quality. This allows users to store more audio files on their mobile devices.