SPK Pemilihan Jurusan Siswa Baru Menggunakan Metode AHP dan MOORA Pada SMKN 1 Kolaka

Agustina, Friska; Sumpala, Andi Tenri; Arysespajayadi, Arysespajayadi

doi:10.34128/jsi.v7i1.292

Cited by 7 publications

(8 citation statements)

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“…Multi-criteria decision-making method used to select the best alternative from a group of alternatives based on several predetermined criteria or objectives [17].…”

Section: Multi-objective Optimization By Ratio Analysis (Moora)mentioning

confidence: 99%

Comparison of Deep Learning and MOORA Performance Methods in Multi Criteria Decision Making with Case Studies Best public health center

Rizki Anantama,

Rachmad Hidayat

2023

Technium

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This research paper compares the performance of the deep learning and MOORA methods in making multi-criteria decisions to choose the best puskesmas. This paper discusses the methodologies used in both approaches, the architectures and equations used in deep learning, and the advantages and limitations of each method. The results show that the deep learning approach achieves 100% accuracy and the MOORA approach dss model obtains an accuracy of 95.75%.

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“…Multi-criteria decision-making method used to select the best alternative from a group of alternatives based on several predetermined criteria or objectives [17].…”

Section: Multi-objective Optimization By Ratio Analysis (Moora)mentioning

confidence: 99%

Comparison of Deep Learning and MOORA Performance Methods in Multi Criteria Decision Making with Case Studies Best public health center

Rizki Anantama,

Rachmad Hidayat

2023

Technium

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“…4. Peringkat Alternatif [17]. Tahapan selanjutnya setelah diketahui sampel data yang akan diuji, dilakukan pencarian nilai terhadap masing-masing kriteria pendukung yang digunakan sebagai bahan pertimbangan dalam penelitian ini menggunakan metode Rank Order Centroid atau ROC, Adapun hasil yang didapatkan sebagai berikut ini:…”

Section: Penentuan Kinerja Alternatifunclassified

Pemilihan Penilaian Karyawan Menggunakan Metode Hybrid ROC-MOORA

Alam,

Fauzi,

Santoso

et al. 2023

JoSYC

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Apprentices are employees who work within the context of a real learning process in the workplace to hone skills and self-quality in achieving maturity in learning science in the world of education, apprentices are also commonly referred to as temporary employees who have a short period of time permitting work in a company , it is not uncommon for a company to appoint an apprentice immediately to become a permanent worker because it is considered capable of minimizing the time in the process of selecting new employees needed to fill employee positions required by a company, several companies also collaborate a lot with a university to accept participants educate them to be able to work in the company they want. In determining an apprentice to become a permanent employee of the company, of course, careful assessment and consideration is needed as is done in other employee selection processes, to eliminate subjective and unfair selection and to improve the quality of the company's assessment of target apprentices who will be appointed as permanent employees. need to build a decision-making system. This is widely applied by other leading companies. In this research, the application of a decision support system was carried out in determining the apprentice's assessment to be selected as a permanent employee of a company using the combination method by applying the weight of the data assessment using the ROC method and the MOORA method ranking method, the results obtained were 0.365 the highest point from the acquisition of the value obtained out of 10 apprentices, the highest score is data recommended by the system as interns who have the best potential to become permanent employees of the company.

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“…Informasi tersebut dihubungkan berdasarkan pilihan yang dibuat berdasarkan kriteria yang saling berkaitan. Prosedur sistem pendukung keputusan dapat melakukan penilian dalam mengelola data kriteria yang ditentukan untuk menghasilkan hasil pilihan terbaik berdasarkan kriteria yang telah ditentukan dan diproses menggunakan model (Agustina et al, 2021;Atmaja, 2021). Selama ini hasil penelitian dengan melihat minat siswa terhadap jurusan dengan menjumlahkan semua hasil tes kuisiner yang diberikan dan tidak membandingkan hasil dari masing-masing universitas.…”

Section: Pendahuluanunclassified

Analisis Sistem Pendukung Keputusan Kelompok Dengan Model Ahp Dan Borda Dalam Mendukung Strategi Manajemen Pemasaran Minat Siswa Pada Universitas Swasta

Asbar

Sapnabiby²,

Pratama³

et al. 2022

Human Falah

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<p><em>Persaingan dalam menjaring mahasiswa universitas di aceh sangat tinggi. Oleh karena itu setiap universitas khususya fakultas harus mempersiapkan strategi managemen yang tepat dan disesuaikan dengan permintaan pasar. Pentingnya analisis stategi dalam melihat minat siswa memilih universitas berdasarkan jurusan yang diminati. Adapun variabel model decision making dan group meliputi Minat(k1), StatusAkreditasi(K2), Jurusan(K3), BidangKeilmuan(K4). Tujuan penelitian ini untuk mengetahui tingkat ketertarikan siswa dalam memilih jurusan pada masing-masing universitas swasta yang kemudian hasil tersebut dapat dijadikan rekomendasi bagi para pengambil keputusan dalam mempersiapkan promosi pada setiap jurusan. Metodelogi penelitian berupa survey pada masing-masing sekolah yang kemudian hasil kuisioner tersebut dimasukkan dalam variabel model AHP (Analytical Hierarchy Process) dan Borda. Hasil Penelitian ini Proses dari model AHP meliputi lamda max : 4.03, Consistency index : 0,01, rasio index " 0,9 dan Consistency ratio : 0,011. Hasil Perangkingan model AHP hasil nya Fakultas Keguruan dan Ilmu Pendidikan (A1) dengan nilai 0.3013, Fakultas Ilmu Komputer (A2) 0.2389, Fakultas Ekonomi 0.2377 (A3) dan terakhir Fakultas Ilmu Sosial dan Politik (A4) 0.222. Kemudian hasil nilai Borda adalah untuk A1 dengan nilai 14, hasil dari A2 dengan nilai 13, A3 adalah 8 dan terakhir A4 dengan nilai 5. Hasil penelitian ini dapat mendukung strategi-strategi dalam menjaring mahasiswa pada masing-masing fakultas.</em></p>

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SPK Pemilihan Jurusan Siswa Baru Menggunakan Metode AHP dan MOORA Pada SMKN 1 Kolaka

Cited by 7 publications

References 0 publications

Comparison of Deep Learning and MOORA Performance Methods in Multi Criteria Decision Making with Case Studies Best public health center

Comparison of Deep Learning and MOORA Performance Methods in Multi Criteria Decision Making with Case Studies Best public health center

Pemilihan Penilaian Karyawan Menggunakan Metode Hybrid ROC-MOORA

Analisis Sistem Pendukung Keputusan Kelompok Dengan Model Ahp Dan Borda Dalam Mendukung Strategi Manajemen Pemasaran Minat Siswa Pada Universitas Swasta

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