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All Journal JURNAL PENDIDIKAN TAMBUSAI Jurnal Kesehatan: Jurnal Ilmu- Ilmu Keperawatan, Kebidanan, Farmasi dan Analis Kesehatan ALACRITY : Journal Of Education Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Journal of Management, Accounting, General Finance and International Economic Issues (MARGINAL) Indonesian Journal of Informatic Research and Software Engineering International Journal of Community Service (IJCS) Jurnal Logic: Logistics & Supply Chain Center ManBiz: Journal of Management and Business
Maulana, Muhammad Rizki
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Journal : Indonesian Journal of Informatic Research and Software Engineering

 1 
Sistem Pendukung Keputusan Pemilihan Jurusan Dengan Metode Simple Additive Weighting (SAW) Pada SMAN 1 Kampar: Decision Support System for Choosing Majors Using the Simple Additive Weighting (SAW) Method at SMAN 1 Kampar Andika, Perdi; A’yuniyah, Qurotul; maulana, Muhammad rizki
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 4 No. 1 (2024): Indonesian Journal of Informatic Research and Software Engineering
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v4i1.1350

Abstract

SMAN 1 Kampar terdapat 2 Jurusan IPA dan IPS. Pemilihan jurusan di SMAN 1 Kampar yang dilakukan pihak sekolah memprioritaskan jurusan IPA bagi siswa baru. Didalam kegiatan pemilihan jurusan, SMAN 1 Kampar masih menggunakan sistem manual dalam penginputan data dan nilai siswa. Hal ini menyebabkan pihak sekolah kesulitan dalam pengambilan keputusan untuk pemilihan jurusan. Tujuan dari penelitian ini adalah membantu pihak sekolah dalam pemilihan jurusan pada siswa didik baru dan membantu dalam perekapan data siswa. Metode yang digunakan dalam penelitian ini adalah metode Simple Additive Weighting (SAW). Berdasarkan hasil pengujian mengunakan User Acceptance Test didapat rata-ata persentasi pertanyaan Sangat Baik yaitu 88%. Berdasarkan pengujian Black Box, fitur-fitur sistem berfungsi dengan sangat baik.
Co-Authors Akmalia, Rizki Amanda, Syahfira Amiren, Muslim Andika, Perdi Astika, Lilis Azzahra, Aliyyah Putri A’yuniyah, Qurotul Chairunnisa, Viona Kusuma Dede Puspa Pujia Didit Damur Rochman Entot Suhartono Erliani, Salsabila Farahdinny Siswajanthy Fathurrahman, Ok Reza Fitriani, Pevi Gusti Vonna, Adinda Hadi Permana, Hadi Inom Nasution Izziah Keumalasari, Sofia Kharis, Wildan Muhammad Marthunis Muhammad Ridwan Muhibbuddin Nurkholik, Dhefi Nurlaila, Chika Aprilia Putri, Destiana Rahayu, Putri Rossa, Devina Sari, Nina Pamela Setijawan, Muhammad Daffa Raihananta Sholihin, Muhammad Riyadus Siregar, Nadia Sabrina Suryani Sentosa, Dewi Syaifullah Muhammad Tanjung, Wardah Kholilah Utami, Anggita Werdhi Yusuf, Rauzah Zulfahrizal