Open AccessAnalisis Metode SMART Rekrutmen Guru Baru TK/Paud Lestari Di Kabupaten Simalungun
Author(s) -
Nadillah Dwi Putri,
Eka Irawan
Publication year - 2021
Publication title -
jurasik : jurnal riset sistem informasi dan teknik informatika/jurasik (jurnal riset sistem informasi dan teknik informatika)
Language(s) - English
Resource type - Journals
eISSN - 2549-7839
pISSN - 2527-5771
DOI - 10.30645/jurasik.v6i1.285
Subject(s) - systems development life cycle , computer science , work (physics) , subject (documents) , operations management , operations research , engineering management , engineering , library science , operating system , software development process , mechanical engineering , software , software development
This research is based on the background of the observations and experiences of researchers, that the system of recruitment of new teachers who are currently running in TK / PAUD LESTARI is still not optimal because they are still doing manual and not computerized methods. As a result, it will slow down the work time of the school in making decisions, searching, inputting, updating, the previous recruitment data of the previous period will also be difficult and require a long time, and the security of data recruitment is also not guaranteed. This study uses a quantitative research approach with the subject of new teacher recruitment research for TK / PAUD LESTARI. Research is carried out in the System Development Life Cycle (SDLC) which is a life cycle or methodology in system development. The conclusion of the results of this study is through the cycle of the System Development Life Cycle (SDLC) which is a life cycle or methodology in developing the system to be even better. Based on the conclusions of the results of this study, it was recommended: the aim of the researchers to conduct this research was to design and create a "New Teacher Recruitment Decision Support System in TK / PAUD LESTARI in Simalungun Regency" in order to facilitate the school in inputting, updating, searching and securing recruitment data