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All Journal Matematika: Jurnal Teori dan Terapan Joutica : Journal of Informatic Unisla
Andri Suryadi
Institut Pendidikan Indonesia Garut
Computer Science & IT Control & Systems Engineering Education Mathematics

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Pemeringkatan Pegawai Berprestasi Menggunakan Metode AHP (Analytic Hierarchy Process) di PT. XYZ Andri Suryadi; Erwin Harahap
Matematika Vol 16, No 2 (2017): Jurnal Matematika
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jmtm.v16i2.2698

Abstract

Untuk mendapatkan pegawai terbaik perlu adanya pemeringkatan berdasarkan kriteria yang telah ditetapkan oleh PT XYZ. Salah satu kriteria yang dimaksud adalah kemampuan hard-skills dan soft-skills. Namun, dengan adanya kategori tersebut menjadi sulit bagi pimpinan perusahaan untuk mendapatkan keputusan yang terbaik terutama dalam relasi antar kategori yaitu kolaborasi hard-skills dan soft-skills. Oleh karena itu dibutuhkan suatu metode untuk dapat memeringkatkan pegawai berprestasi sehingga dapat memudahkan pimpinan dalam pemilihan tersebut. Analytic Hierarchy Process (AHP) merupakan metode yang dapat menyelesaikan masalah pengambilan keputusan berdasarkan banyak kategori. Kemampuan hard-skills dan soft-skills dapat dikolaborasikan menggunakan AHP sehingga keterkaitan antara kategori menjadikan proses pemilihan pegawai berprestasi menjadi mudah.Kata kunci: pegawai berprestasi, hard-skills, soft-skills, AHP, analytic hierarchy process.abstract in English:Ranking of High-Performance Employees Using the AHP (Analytic Hierarchy Process) Method at PT XYZTo get the best employees need to rank based on the criteria set by PT XYZ. One of the criteria in question is the ability of hard-skills and soft-skills. However, with the category, it becomes difficult for the leadership of the company to get the best decision especially in the relationships between categories of collaboration hard-skills and soft-skills. Therefore, it is necessary a method to be able to improve employee achievement to facilitate the leadership in the election. Analytic Hierarchy Process (AHP) is a method that can solve the problem of decision making based on many categories. The ability of hard-skills and soft-skills can be collaborated using AHP so that the interrelationship between the categories makes the eligible employee selection process easy.Keywords: employee achievement, hard-skills, soft-skills, AHP, analytic hierarchy process.
SISTEM REKOMENDASI PENERIMAAN MAHASISWA BARU MENGGUNAKAN NAIVE BAYES CLASSIFIER DI INSTITUT PENDIDIKAN INDONESIA Andri Suryadi; Erwin harahap
Joutica Vol 3, No 2 (2018)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.835 KB) | DOI: 10.30736/jti.v3i2.231

Abstract

The quality of a university in creating qualified graduates is determined by the prospective students who enter the college. One of the things that can determine the quality is how the selection process of candidates for good student acceptance. However, the selection process of admissions in every college of course is different. Often the input of prospective students who enter the university is not in accordance with the expected so that the impact of graduate results. Therefore it is necessary for a system that can support the decision in the selection of new student candidates in order to get a good student input. This research builds a Recommendation System that will assist in the selection process of universities for the selection team of new student candidates. This recommendation system uses the naïve Bayes classifier method where the test scores of incoming selection of students who have been accepted will be used as training data and then classified based on the value of ipk that has been obtained. The value of the ipk will be a benchmark for the formation of classes - classes that are recommendations to the selection team. The classes that are formed are classes whose ipk value is at the accepted point and the class whose ipk value is not accepted. Then given a new student data, if the prospective student enters the safe class then it will be recommended to be accepted but otherwise it will be recommended to be rejected
Co-Authors Erwin harahap Erwin Harahap