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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Informasi dan Ilmu Komputer METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) INFOKUM TIN: TERAPAN INFORMATIKA NUSANTARA MEANS (Media Informasi Analisa dan Sistem) IJISTECH Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Bulletin of Computer Science Research Journal of Informatics Management and Information Technology Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Armada Informatika Jurnal Manajemen Informatika dan Bisnis Digital Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) ORAHUA : Jurnal Pengabdian Kepada Masyarakat
Ndruru, Eferoni
Universitas Budi Darma, Medan
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Journal : TIN: TERAPAN INFORMATIKA NUSANTARA

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Clustering Penilaian Kinerja Guru Menggunakan Algoritma K-Means Donni Tambunan; M. Hasyim Arrasyid; Eferoni Ndruru
TIN: Terapan Informatika Nusantara Vol 3 No 2 (2022): July 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i2.3545

Abstract

Assessment of teacher quality is one of the important things that schools really need. Imelda Medan Private High School every year conducts a performance appraisal of teachers. However, there are still obstacles such as printing and distributing questionnaires which are considered less efficient, requiring a lot of money and effort. As well as not using a particular system or method in processing the results of the questionnaire into grades and graphs for monthly reports and determining the best teacher. The clustering technique is one technique for assessing a teacher's performance and the K-Means algorithm is one of the clustering technique algorithms. This technique is very suitable for use in this study, namely evaluating the performance of teachers at Imelda Medan Private High School. The result of this study is the application of data mining with the K-Means algorithm method which can assess a teacher's performance using the criteria that have been obtained at the data collection stage.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menerapkan Metode MAUT Muhammad Annur Al Fajar Nst; M. Hasyim Arrasyid; Eferoni Ndruru
TIN: Terapan Informatika Nusantara Vol 3 No 2 (2022): July 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i2.3639

Abstract

The selection of the best employee is the company's appreciation for the performance of its employees. This can motivate employees to be more motivated at work. To get the names of the best employees, a system is needed that performs the expected selection process and can produce objective and transparent information. In finding the best employees, the company does this by appointing without a reliable enough assessment. Therefore, a decision support system is needed in evaluating employee performance. This research uses the multi-attribute utility theory method. The data processed for this evaluation are 10 samples from CV Aurelia Weida Prima Medan. The evaluation is based on several criteria and weights given. There are 6 data criteria to assess employee performance, namely service (30% weight), integrity (20% weight), commitment (15% weight), discipline (20% weight), cooperation (13% weight), and employee performance (12% weight). From the calculation results, the employee who has the highest score is obtained. Therefore, the maximum value is obtained at A9 = 15.746, and the minimum value is obtained at A1 = 1.410. Will be considered for CV later. Aurelia Weida Prima Medan evaluates its employees over a while. It turns out that choosing the best employee performance helps CV. Aurelia Weida Prima Medan
Co-Authors Anas, Irfan Anda Yanny Andre Wijaya Bremana Azlan Dedi Verianto Laia Dicky Marsella Donni Tambunan Efori Buulolo Erbin Sitorus Etty Diana Manurung Fadlina Fince Tinus Waruwu Fince Tinus Waruwu Ginting, Suranta Bill Fatric Guidio Leonarde Ginting Hotmian Gultom Hutabarat, Sumiaty Adelina Imam Saputra Lince Tomoria Sianturi M. Hasyim Arrasyid Mauhati Pardede Muhammad Annur Al Fajar Nst Muhammad Arif Ritonga Murdani Murdani Nasib Marbun Nowell Dewantara Purba, Eviyanti Novita Riswan Limbong Rivalri Kristianto Hondro Sembiring, Abdul Sani Sinurat, Sinar Tampubolon, Tigor Barata Taronisokhi Zebua