Beban Kerja Dosen (BKD) merupakan bagian penting bagi perguruan tinggi dalam melakukan evaluasi penilaian kinerja berdasarkan Tridharma Perguruan tinggi dan penunjang lainnya dalam satu tahun kedepan. BKD dinilai berdasarkan Satuan Kredit Semester (SKS) menurut standar Direktorat Jenderal Pendidikan Tinggi (DIKTI). Untuk mendapatkan nilai BKD dalam satuan SKS, maka data mengenai aktivitas dosen di bidang pengajaran, penelitian, pengabdian masyarakat dan penunjang lainnya perlu dikonversi terlebih dahulu menjadi informasi, dan setelah itu dilakukan konversi informasi menjadi knowledge yang akan digunakan sebagai landasan dalam melakukan evaluasi BKD.
Proses konversi data menjadi informasi menggunakan metode knowledge conversion 5C yang terdiri dari Contextualized, Categorized, Corrected, dan Condensed. Proses konversi informasi menjadi knowledge menggunakan metode knowledge conversion 4C yang terdiri dari Comparison, Consequences, Connection, dan Conversation. Hasil konversi 5C-4C digunakan untuk mengidentifikasi informasi dan knowledge yang dapat berpengaruh terhadap beban kerja di Kelompok Keahlian yang ada di Fakultas Rekayasa Industri (FRI), Universitas Telkom
Penelitian ini menghasilkan knowledge terhadap kinerja masing-masing dosen di dalam Kelompok Keahlian (KK), terhadap pencapaian target Tridharma Perguruan Tinggi yang ada di dalam Kontrak Manajemen. Masih terdapat nilai BKD dosen yang tidak mencapai BKD ideal berdasarkan ketentuan DIKTI, yaitu 12 – 16 SKS, dan gap nilai BKD yang jauh antar dosen walaupun dalam satu cluster. Rata-rata dosen memiliki nilai BKD paling tinggi di bidang pengajaran dan pendidikan, sedangkan di bidang penelitian masih banyak dosen yang belum melakukannya. Persentase dosen yang belum melakukan penelitian semester genap pada KK-1 ada 16% dosen, KK-2 ada 26% dosen, dan KK-3 ada 16% dosen. Sedangkan semester ganjil pada KK-1 ada 22% dosen, KK-2 ada 15% dosen, dan KK-3 ada 25%.
Kata Kunci: Knowledge Conversion, 5C, 4C, Beban Kerja Dosen, Kelompok Keahlian
ABSTRACT
Lecturer Workload (BKD) is an important part of the college to evaluate performance assessment based on University Tridharma and other support for one year ahead. BKD assessed on Semerter Credit Unit (SKS) by the standards of the Directorate General of Higher Education (DIKTI). To get the value of BKD in units of SKS, data on of lecturers activities in teaching, research, community service and other support need to be converted into information, and then converts the information into knowledge that will be used as the basis of an BKD evaluation.
The process of converting data into information using knowledge conversion method that consists of 5C (Contextualized, Categorized, Calculated, Corrected, and Condensed). The process of converting information into knowledge using knowledge conversion method consists of 4C (Comparison, Consequences, Connection, and Conversation). The results of 5C-4C conversion is used to identify the information and knowledge that can affect the workload in the Group's expertise in the Faculty of Industrial Engineering (FRI), Telkom University.
This research generates knowledge of each lecturer performance in the Research Groups, for the achievement of University Tridharma targets in the Management Contract. There are still values of lecturer BKD did not achieve an ideal based on DIKTI, that is 12-16 SKS, and BKD value gap is quite far value between lecturers. Lecturers have the highest average value of BKD in the field of teaching and education, while in the field of research there are still a lot of lecturers who have not done it. The percentage of lecturers who have not done the research in semester at KK-1 there are 16% of lecturers, KK-2 there are 26% lecturer, and KK-3 is 16% lecturer. While in odd semester in KK-1 there is 22% of lecturers, KK-2 there are 15% lecturer, and KK-3 is 25% lecturer who have not done the research.
Keywords: Knowledge Conversion, 5C, 4C, Workload Lecturer, Research Groups