Pratama, Maulana (2025) Sistem Informasi Seleksi Penerimaan Magang Dan Monitoring Magang Menggunakan Metode Fuzzy Logic Berbasis Web (studi Kasus: Pt.pln (persero) Up3 Pematangsiantar). Other thesis, Universitas Islam Riau.
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Abstract
This study aims to address various challenges in the internship selection and monitoring processes at PT. PLN (Persero) UP3 Pematangsiantar by developing a web-based information system utilizing the Fuzzy Logic method. The system is designed to improve efficiency and accuracy in selecting internship candidates by processing data variables such as average report card scores, academic potential test results, and corporate culture test scores. Additionally, the system is equipped with monitoring features to support periodic recording and evaluation of internship participants' progress. The system development follows a Waterfall approach, including the stages of requirements analysis, design, implementation, and testing. The Fuzzy Logic Tsukamoto method is applied to manage uncertainties in the selection decision-making process. The system is tested using Black Box Testing to ensure functionality according to specifications and User Acceptance Testing (UAT) to evaluate user acceptance levels. The results indicate that the developed system effectively supports a more objective selection process and provides a structured monitoring system. This implementation has proven effective in enhancing transparency and efficiency in internship program management while offering an innovative solution for human resource management at PT. PLN (Persero) UP3 Pematangsiantar.
Item Type: | Thesis (Other) |
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Contributors: | Contribution Contributors NIDN/NIDK Sponsor Haryadi, Octadino 1031109201 |
Uncontrolled Keywords: | Information System, Fuzzy Logic, Internship Selection, Internship Monitoring, Web. |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
Divisions: | > Teknik Informatika |
Depositing User: | Putri Aulia Ferti |
Date Deposited: | 10 Sep 2025 07:04 |
Last Modified: | 10 Sep 2025 07:04 |
URI: | https://repository.uir.ac.id/id/eprint/28707 |
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