Syarifah Fadillah Rezky
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IMPLEMENTATION OF AHP METHOD FOR THE SELECTION OF THE BEST SCHOOLS IN MEDAN CITY BASED ON THE WEBSITE Syarifah Fadillah Rezky; Rita Hamdani; Siti Julianti Siregar
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (229.782 KB)

Abstract

In selecting the best school for prospective students or those who will continue their education. There are many criteria that must be seen from the number of schools in the city of Medan, which is one of the factors determining the quality of the school. Because they only use newspapers and brochures, many prospective students are confused or hesitant in deciding which school to attend. Many schools are often not in accordance with the information contained in the media newspapers and brochures, this of course can be detrimental to prospective students / students who want to enter the school. Thus many prospective students or guardians of students feel doubt in determining which school to choose. Based on previous research regarding the selection of the best schools in journals, "Decision support system to determine favorite private junior high school level using the analytical hierarchy process method" requires a decision support system that is able to provide problem solving to make it easier for prospective students / students to determine the best school so that there is no confusion or doubt in determining the best school . The Analytical Hierarchy Process (AHP) method can test the consistency of assumptions about an alternative in determining the best school, Applications that use the WEB-based Analytical Hierarchy Process (AHP) method is one application that can assist in determining the best school selection, Analytical Hierarchy Process (AHP) is a functional hierarchy with the input name in the form of human perception.
Penerapan Fuzzy Logic Dalam Seleksi Penerimaan Karyawan Internship Content Writer Pada PT Boxity Central Indonesia: Penerapan Fuzzy Logic Dalam Seleksi Penerimaan Karyawan Internship Content Writer Pada PT Boxity Central Indonesia Hamdani, Rita; Syarifah Fadillah Rezky; Devri Suherdi
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 23 No 2 (2024): Agustus 2024
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v23i2.10238

Abstract

Boxity Central Indonesia merupakan perusahaan startup yang bergerak di bidang IT berlokasi di Jakarta Barat dan Medan dengan menyediakan layanan berbasis cloud yang berfokus pada pengembangan aplikasi ERP (Enterprise Resource Planning) yang membantu mengintegrasikan semua proses bisnis. Salah satu proses rekrutmen yang ada di PT. Boxity Central Indonesia adalah Internship Content Writer. Pada PT. Boxity Central Indonesia masih saja terdapat karyawan Internship Content Writer yang memiliki kompetensi kurang baik sehingga efektivitas perusahaan berjalan lambat. Hal ini disebabkan karena proses seleksi penerimaan Internship Content Writer bukan berdasarkan kriteria yang ditentukan dan dalam prosesnya tidak menggunakan metode yang tepat. Untuk mengatasi masalah ini, maka dibutuhkan pendekatan fuzzy logic. Metode Logika fuzzy yang digunakan adalah metode Tsukamoto. Hasil dari penelitian ini yaitu aplikasi seleksi penerimaan karyawan Internship Content Writer berbasis web. Sehingga dengan adanya aplikasi ini dapat mempermudah dan mempercepat dalam proses seleksi penerimaan karyawan Internship Content Writer.