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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) INFORMAL: Informatics Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Techno Nusa Mandiri : Journal of Computing and Information Technology ILKOM Jurnal Ilmiah INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Computer Science and Information Technology (CoSciTech) jeti TECHSI - Jurnal Teknik Informatika Scientific Journal of Informatics
Novia Hasdyna
Universitas Islam Kebangsaan Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Journal : CESS (Journal of Computer Engineering, System and Science)

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Kombinasi Algoritma Brute Force dan Stemming pada Sistem Pencarian Mashdar Rozzi Kesuma Dinata; Safwandi Safwandi; Novia Hasdyna; Rudi Mahendra
CESS (Journal of Computer Engineering, System and Science) Vol 5, No 2 (2020): JULI 2020
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (918.769 KB) | DOI: 10.24114/cess.v5i2.17989

Abstract

In this study Brute Force and Stemming algorithms are combined in the mashdar word search system. The purpose of this study is to facilitate the user in finding the basic words of a word along with its changes based on the review of basic words to mashdar. The data used in this study were obtained from 50 books of Tashrif by Sheikh Hasan bin Ahmad. The results of the study by combining brute force and stemming algorithms in mashdar search with a test sample of 15 words obtained an accuracy value of 78.9%, 86.6% precission, 84.6% recall and 66.6% specificity.
Klasifikasi Sekolah Menengah Pertama/Sederajat Wilayah Bireuen Menggunakan Algoritma K-Nearest Neighbors Berbasis Web Rozzi Kesuma Dinata; Fajriana Fajriana; Zulfa Zulfa; Novia Hasdyna
CESS (Journal of Computer Engineering, System and Science) Vol 5, No 1 (2020): Januari 2020
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (774.627 KB) | DOI: 10.24114/cess.v5i1.14962

Abstract

Pada penelitian ini diimplementasikan algoritma K-Nearest Neighbor dalam pengklasifikasian Sekolah Menengah Pertama/Sederajat berdasarkan peminatan calon siswa. Tujuan penelitian ini adalah untuk memudahkan pengguna dalam menemukan sekolah SMP/sederajat berdasarkan 8 kriteria sekolah yaitu akreditasi, fasilitas ruangan, fasilitas olah raga, laboratorium, ekstrakulikuler, biaya, tingkatan kelas dan waktu belajar. Adapun data yang digunakan dalam penelitian ini didapatkan dari Dinas Pendidikan Pemuda dan Olahraga Kabupaten Bireuen. Hasil penelitian dengan menggunakan K-NN dan pendekatan Euclidean Distance dengan k=3, diperoleh nilai precision sebesar 63,67%, recall 68,95% dan accuracy sebesar 79,33% .
Co-Authors Akbar Arafat Akbar, Hafizal Fajriana, Fajriana Hafizal Akbar Haried Novriando Hendra A Mizan Maulana Muhammad Alif Muhammad Jabar Muhammad Nurfahmi Mustaqim Mustaqim Mutasar Muttaqin Muttaqin Nur Azizah Rizal S.Si., M.IT, Rizal Rozzi Kesuma Dinata Safwandi Safwandi Safwandi Safwandi Sujacka Retno T. Irfan Fajri Yustizar Yustizar Zulfa Zulfa