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Perbandingan Penyelesaian Perselisihan Hubungan Industrial Melalui Konsilisasi Dan Mediasi Di Departemen Tenaga Kerja Daerah Istimewa Yogyakarta Rezaldi, Muhammad; Paryadi
Private Law Vol 4 No 2 (2024): Private Law Universitas Mataram
Publisher : Faculty of Law, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/prlw.v4i2.4411

Abstract

The aim of this research is to determine and analyze the number of industrial relations disputes resolved through conciliation and mediation in 2021 at the Department of Labor of the Special Region of Yogyakarta and to determine and analyze the factors that lead to the resolution of industrial relations disputes at the Department of Labor of the Special Region of Yogyakarta through conciliation is used less often than mediation. Types of juridical research. Data sources use primary and secondary data. Data collection techniques used interviews and literature study. Data analysis techniques are descriptive qualitative. The results of the research show that the industrial relations disputes handled by mediators at the Manpower and Transmigration Service of the Special Region of Yogyakarta most often involve disputes regarding termination of employment. The only industrial relations disputes handled by mediators at the Yogyakarta Special Region Manpower and Transmigration Service which must continue the dispute to the Industrial Relations Court are cases of employment termination. Factors that cause the resolution of industrial relations disputes at the Yogyakarta Special Region Manpower and Transmigration Service include industrial relations mediation being considered more effective than conciliation, the absence of conciliators at the Yogyakarta Special Region Manpower and Transmigration Service since March 2020 due to death, differences authority between mediators and conciliators in terms of handling types of industrial relations problems and mediation has advantages over conciliation.
Data Mining dan Big Data Dalam Dunia Industri putera, Muzakkir; Newton, Newton; Parkhurst, Helen; Rezaldi, Muhammad; Lestari, Sri Indah; Oziana, Deea Rizki; Hulwani, Zati
Jurnal Industri dan Inovasi (INVASI) Vol 3, No 1 (2025): Vol 3, No 1 (September 2025)
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v3i1.12756

Abstract

salah satu metode klastering yang paling populer dan banyak digunakan dalam analisis data tak berlabel. Metode ini bertujuan untuk membagi sekumpulan data ke dalam sejumlah klaster yang telah ditentukan sebelumnya, berdasarkan kedekatan data terhadap pusat klaster (centroid). Proses K-Means dimulai dengan menentukan jumlah klaster (k), kemudian memilih centroid awal secara acak. Setiap data kemudian diklasifikasikan ke klaster terdekat berdasarkan jarak Euclidean. Selanjutnya, centroid diperbarui berdasarkan rata-rata data dalam masing-masing klaster, dan proses ini diulang hingga pusat klaster tidak lagi berubah secara signifikan. Kelebihan metode ini adalah kesederhanaannya dan efisiensi komputasinya, namun K-Means juga memiliki keterbatasan seperti kepekaan terhadap pemilihan centroid awal dan ketidaksesuaian dalam menangani data non-linier atau berbentuk kompleks. Metode ini banyak diaplikasikan dalam segmentasi pasar, pengenalan pola, analisis citra, dan pengelompokan dokumen.