Sistem Pendukung Keputusan Penerimaan Perawat Baru Di PT. Medika Antapani dengan Pembobotan ROC dan Metode WASPAS

Aditiya, Andra; Gunawansyah,

doi:10.33379/gtech.v6i2.1599

Cited by 6 publications

(9 citation statements)

References 3 publications

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“…Pada penelitian yang dilakukan oleh Aditiya & Gunawansyah, [15] dengan judul "Sistem Pendukung Keputusan Penerimaan Perawat Baru di PT. Medika Antapani dengan Pembobotan ROC dan Metode WASPAS".…”

Section: Tinjauan Literaturunclassified

WASPAS and ROC Algorithms for Faculty Senate Member Recruitment System

Santoso,

Putri

2024

SISTEMASI

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AbstrakSenat Mahasiswa Fakultas merupakan lembaga kemahasiswaan yang memegang fungsi control sekaligus sebagai lembaga legeslatif dan perwakilan tertinggi mahasiswa di kampus. Senat Mahasiswa Fakultas juga merekrut beberapa anggota baru harus sesuai dengan kriteria yang telah di tentukan, jumlah mahasiswa yang mendaftar untuk menjadi anggota SEMAF sangatlah banyak. Apabila pengambilan keputusan di lakukan secara manual, di khawatirkan tim penyeleksi penerimaan anggota baru tidak menyeleksi secara objektif ataupun terjadi nepotisme pada proses pemilihan tersebut. Tujuan penelitian ini adalah Menerapkan Metode WASPAS dan ROC untuk mempermudah pemilihan anggota baru menggunakan metode WASPAS dan Pembobotan ROC dan Merancang dan membangun Sistem Pendukung Keputusan berbasis Website. Penelitian ini menggunakan metode RnD Research and Development. Berdasarkan hasil penelitian, nilai tertinggi 0.9850 yaitu A23 dan Nilai terendah 0,4641 yaitu A30. Dengan membuat system berbasis WEB menggunakan metode ROC dan WASPAS dapat menghasilkan nilai optimum. Kemudian nilai tersebut dapat digunakan untuk menentukan perangkingan pada system perekrutan anggota baru SEMAF.

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Section: Tinjauan Literaturunclassified

WASPAS and ROC Algorithms for Faculty Senate Member Recruitment System

Santoso,

Putri

2024

SISTEMASI

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“…Prosedur ROC dan WASPAS dapat digunakan untuk mendapatkan nilai penilaian akhir yang lebih tepat dan tidak memihak. Sebagai hasil dari efektivitas sistem dalam digitalisasi informasi tentang kualifikasi perawat yang melamar, HR akan lebih mudah melihat kualifikasi calon perawat karena mereka tidak perlu mencari file fisik mereka [12].…”

Section: Pendahuluanunclassified

Pemilihan Waitress Resto Akul Terbaik Menerapkan Metode WASPAS dengan Pembobotan ROC

Soleha

Aldisa

Abdullah

2023

josh

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The restaurant is an area that serves culinary delights for public consumption and also has various services to make customers feel at home while eating. One of the factors that determines the success of a restaurant in the food industry is the quality of the waitress service. An employee who serves customers in a restaurant, cafe, dining room or hotel is known as a waitress. These are the people who will approach a client as they walk in to take their order, give them a menu, and be available if they need more. Because it generates data that can be used for administrative decisions such as promotion, training, awards and other assessments, selecting the best restaurant waiter is a very important process in management. The obstacle in choosing the best restaurant waitress is the difficulty for restaurant management to make decisions regarding the best restaurant waitress because of the large amount of data which results in a long processing time. The Weighted Aggregated Sum Product Assessment (WASPAS) approach and the Rank Order Centroid (ROC) weighting method are the two methods used in this study to apply a decision support system to the challenge of selecting the best restaurant waiter. In this study, a number of factors, including appearance, responsibility, discipline, teamwork, high initiative, and multitasking skills, were taken into consideration in selecting the best restaurant servers. The W8 alternative, Ratih Setyowati with a value of 0.9341, which has the right to be chosen as the best restaurant waitress, is the result of a ranking to choose the best restaurant waitress with the highest preference after applying the WASPAS method and ROC weighting.

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“…Metode ini menggabungkan teknik pembobotan dengan metode ROC. Berdasarkan penelitian terdahulu, mengatakan bahwa alasan digunakannya metode ROC untuk pembobotan dikarenakan dalam penentuan nilai bobot pada kriteria dan subkriteria, kriteria dan subkriteria yang awalnya berupa kalimat akan ditransformasikan kepada nilai angka dengan ketentuan perhitungan metode ROC [5]. Berdasarkan penelitian lainnya, mengatakan bahwa metode WASPAS dengan pembobotan ROC telah terbukti efektif dalam mengatasi kompleksitas pemilihan karyawan, karena mampu mempertimbangkan bobot relatif dan preferensi dari setiap kriteria secara keseluruhan [6].…”

Section: Pendahuluanunclassified

Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik CV Family Computer Menggunakan Metode WASPAS Dengan Pembobotan ROC

Sitepu,

Zebua

2023

JUSSI

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The success and sustainability of a company greatly depend on the quality of its employees. However, in the competitive business world, selecting the best employees is not an easy task. To enhance efficiency and effectiveness in the employee selection process, many companies use a Decision Support System (DSS) as a tool. One of the methods used in the DSS is the Weighted Aggregated Sum Product Assessment (WASPAS) with the weighting method known as the Rank Order Centroid (ROC), due to the limitations and lack of precision in providing weighting values in the WASPAS method, the use of the ROC method is necessary in determining the weight values for criteria and subcriteria. Initially expressed as sentences, the criteria and subcriteria are transformed into numerical values based on the ROC calculation method. This article discusses the implementation of the DSS using the WASPAS method and ROC weighting in the selection of the best employees at CV Family Computer, a company in the information technology industry, this method combines weighting techniques with the ROC method and outlines the implementation steps in selecting the best employees at CV Family Computer. The results obtained after applying the ROC method are used to assign weights and determine the level of importance for each criterion. The WASPAS method is then applied to rank each alternative. Consequently, in this study of selecting the best employees, alternative A7, Danta Panjaitan, is identified with a value of 2.8857.

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Sistem Pendukung Keputusan Penerimaan Perawat Baru Di PT. Medika Antapani dengan Pembobotan ROC dan Metode WASPAS

Cited by 6 publications

References 3 publications

WASPAS and ROC Algorithms for Faculty Senate Member Recruitment System

WASPAS and ROC Algorithms for Faculty Senate Member Recruitment System

Pemilihan Waitress Resto Akul Terbaik Menerapkan Metode WASPAS dengan Pembobotan ROC

Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik CV Family Computer Menggunakan Metode WASPAS Dengan Pembobotan ROC

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