Decision Support System for Department Selection Using the Analytical Hierarchy Process (AHP) and Profile Matching Algorithms at Vocational High School: A Case Study at SMK Pembangunan Jaya YAKAPI
DOI:
https://doi.org/10.30998/faktor.exac.v19i1.2236Keywords:
SPK, AHP, Profile Matching, Jurusan, SMK.Abstract
The annual new student admissions (PPDB) at SMK Pembangunan Jaya Yakapi involve a rigorous selection process that consistently faces challenges due to growing enrollment. Students frequently select majors that do not align with their interests and competencies, which negatively affects academic achievement and often leads to department changes after the first semester. To address these issues, this study implements a Decision Support System (DSS) combining the Analytical Hierarchy Process (AHP) and Profile Matching methods to improve the accuracy of major selection. AHP determines the priority weights of assessment criteria, including students' interests and academic achievement, through a pairwise comparison matrix. Meanwhile, Profile dual student profiles against department requirements to evaluate the optimal fit. This integrated approach establishes an objective selection workflow that better matches students’ capabilities with major requirements.
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Buku:
Sumber Offline:
[1] Daihani, Dadan Umar 2001. Komputerisasi Pengambilan Keputusan, Jakarta: Elex Media Kompu-tindo.
[2] [2[ Hoffer, Jeffrey A, et al. 2011. Modern Database Management, New Jersey: Pearson Education, Inc.
[3] Marimin. 2017. Sistem Pendukung Pengambilan Keputusan dan Sistem Pakar, Bogor: PT. Penerbit IPB Press.
[4] Marimin., dkk. 2013. Teknik dan Analisis Pengambilan Keputusan Fuzzy dalam Manajemen Rantai Pasok, Bogor: PT. Penerbit IPB Press.
Jurnal:
[5] Arbelia, Paryant. 2014. Penerapan Metode AHP Dan Topsis Sebagai Sistem Pendukung Keputusan Dalam menentukan Kenaikan Jabatan Bagi Karyawan JURNAL ILMIAH GO INFOTECH, Volume 20 No. 1 ISSN: 1693-5902.
[6] Arbelia, Paryant. 2014. Penerapan Metode AHP Dan Topsis Sebagai Sistem Pendukung Keputusan Dalam menentukan Kenaikan Jabatan Bagi Karyawan JURNAL ILMIAH GO INFOTECH, Vol-ume 20 No. 1 ISSN: 1693-5902.
[7] Arif, Moh. 2017. Penerapan Perbandingan Metode AHP-Topsis Dan ANP-Topsis Mengukur Kinerja Sumber Daya Manusia Di Gorontalo, ILKOM, Volume 9 Nomor 2, ISSN: 2548-7779
[8] Arifin, M. 2016 Sistem Pendukung Keputusan Pemilihan Sekolah Terbaik Pada Kabupaten Ser-dang Bedagai Menggunakan Metode AHP Dan SAW, Infotek, Vol 1 No 2, ISSN 2502-6968
[9] Candra, Surya. 2015. Sistem Pendukung Keputusan Rekomendasi Penerima Beasiswa Menggunakan Fuzzy Multi Attribut Decision Making (FMADM) dan Technique Order Performance by Similarity (TOPSIS), JRE Jurnal Vol.11 Nomor 4. ISSN. 1412-4785
[10] Helilintar, Risa., Dkk. 2016. Penerapan Metode TOPSIS dan Fuzzy Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa, Citec Journal, Volume 3 No.2. ISSN: 2354-5771
[11] Mufizar, T, dkk. 2017. Pemilihan Calon Penerima Bantuan Siswa Miskin Menggunakan Metode Analytical Hierarchy Process (AHP), Citec Journal, Volume 4 No. 1 ISSN: 2460-4259.
[12] Perdani, Etika Wahyu., dkk. 2014. Sistem Pendukung Keputusan Penerimaan Siswa Baru Dengan Metode Simple Additive Weighting (SAW), Edu Komputika Journal, ISSN 2252-6811.
[13] Sejati, Estining., dkk 2013. Analisis Perbandingan Menggunakan Metode AHP, TOPSIS, dan AHP-TOPSIS dalam Studi Kasus Sistem Pendukung Keputusan Penerimaan Siswa Program Akselerasi, JURNAL ITSMART, Volume 2 No. ISSN: 2301-7201
[14] Yulianti, E dan Damayati, R. 2015. Sistem Pendukung Keputusan Untuk Menentukan Penerimaan Beasiswa Bagi Siswa SMA N 9 Padang Dengan Menggunakan Metode AHP (Analytical Hierarchy Process). Jurnal TEKNOIF Vol. 3 Nomor 2. ISSN. 2338-2724.
[15] Ginting. M. B. (2014) ‘(4)Penerapan Metode AHP Dalam Sistem Informasi Penerimaan mahasiswa Baru Berbasis WEB Pada STT Poliprofesi Meda’, Eksplora Informatika, 3(2), pp. 171-180
[16] Khairunnisa and Wardoyo, R. (2017) ‘(10) SPK Untuk merekomendasikan kesesuaian lahan pada komoditas tanaman prioritas dengan Profile Matching dan AHP’, Jurnal ilmiah ilmu Komputer Universitas Udayana, X(2), pp. 15-24
[17] Mufid, A. (2014) ‘(9) Sistem Pendukung Keputusan Penilaian Proposal kegiatan PNPM MPd menggunakan Metode Profile Matching dan Analytic Hierarchy Process (AHP)’, Jurnal Sistem In-formasi Bisnis, 4(1), pp. 40-47. doi: 10.21456/vol4iss1pp40-47.
[18] Munthafa, A. E. and Mubarok, H. (2017) ‘(6) Penerapan Metode AHP dalam Sistem kata kunci: Analytic Hierarchy Process, Consistency Index, Mahasiswa Berprestasi. Keywords: Analytic Hier-archy Process, Consistency Index, Achievement student b. Kelebihan dan kelemahan’, Jurnal Sili-wangi, 3(2), pp. 192-201.
[19] Priyatna, H., Mulyana, I. and Aries, M. (2017) ‘(1) Penerapan Perbandingan Metode Profile Match-ing dan simple Additive Weighting untuk kenaikan pangkat’, Jurnal online mahasiswa (JOM) Bi-dang Ilmu Komputer /Informatika, I. p. I.
[20] Yasiin, A.and Purwanti K, D. (2017) ‘(2) Sistem Pendukung keputusan penerimaan siswa baru menggunakan metode Profile Matching pada smk wisudha karya kudus’, pp. 1-11.
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