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All Journal JTT (Jurnal Teknologi Terpadu) J-SAKTI (Jurnal Sains Komputer dan Informatika) Akademika Jurnal Teknologi Pendidikan JISA (Jurnal Informatika dan Sains) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Teknologi Informatika dan Komputer Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Ilmiah Wahana Pendidikan J-SAKTI (Jurnal Sains Komputer dan Informatika) Bulletin of Information Technology (BIT) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan SIGMA: Information Technology Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Pelitabangsa Jurnal Lentera Pengabdian JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian SAINTEK
Ahmad Turmudi Zy
UNiversitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

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Penentuan Jadwal Overtime Dengan Klasifikasi Data Karyawan Menggunakan Algoritma C4.5 Ikhsan Romli; Ahmad Turmudi Zy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.260

Abstract

Technological development and scientific advancement are very important and influential parts of all fields. With the development and advancement of technology, being experts in a field is a must because it is required to know more and learn about the technology that is currently developing. Information technology and informatics are needed to support performance. Large and small companies also need fast and accurate information to make easier decisions making. Therefore, data mining classification techniques are needed to solve these problems. The classification used in data mining is a Decision tree because it is a technique that is widely used and produces output with existing rules so that it can present employee data to determine the overtime schedule. This study uses the C4.5 algorithm to determine the overtime schedule. The test results of the overtime schedule with the C4.5 algorithm with the Confusion matrix have good accuracy, precision, and recall values, namely 91% accuracy, 86.05% precision, and 92.5% recall.
Co-Authors Adrianna Syariefur Rakhmat Agung Nugroho Ahmad Rivaldi Ananto Tri Sasongko Antika Zahrotul Kamalia Aprilia Nur Sa'adah Ary Fahrizal Aswan S Sunge Aswan S Sunge Aswan S. Sunge Aswan Supriyadi Sunge Daspar Daspar Donny Maulana Edora Edora Edora Edora Edy Widodo Endrik Ermanto Ermanto Fahamsyah, Mohammad Hatta Gatot Tri Pranoto Ikhsan Romli Irfan Afriantoro Irma Nurmaulida* Juan Fakhri Lutfi Adji Ardiansyah M Syaibani Anwar Miftah Wangsadanureja Miftahuljannah Mudakir Muhamad Ekhsan Muhamad Fatchan Muhammad Adipa Muhammad Makmun Effendi Muhtajuddin Danny Najamuddin Dwi Miharja Muhammad Nurhadi Surojudin Purnama Sakhrial Pradini Putri Nurhafenda Harun Qori yumansyah Qori Ray Fathur Rizky Riani Riani Rismawati Rismawati Suriyanti Suriyanti Wiyanto Wiyanto Zaenur Rozikin Zaky Ali Husaeni