SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TETAP PADA PT.PN IV TINJOWAN DENGAN MENGGUNAKAN METODE TOPSIS BERBASIS WEB
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Anisa Fitriani, Aura Syakira Herniawan, miftahul hanifa anli, Ruspaliani Putri

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TETAP PADA PT.PN IV TINJOWAN DENGAN MENGGUNAKAN METODE TOPSIS BERBASIS WEB

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Introduction

Sistem pendukung keputusan pemilihan karyawan tetap pada pt.pn iv tinjowan dengan menggunakan metode topsis berbasis web. Pelajari sistem pendukung keputusan berbasis web untuk pemilihan karyawan tetap di PT.PN IV Tinjowan. Menggunakan metode TOPSIS dengan kriteria absensi, panen, usia, dan pendidikan.

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Abstract

Abstract: This research aims to determine the selection of permanent employees at PT.PN IV Tinjowan using several criteria including Attendance, Number of Harvests, Age, and Education by applying the Technique for Order of Preference by Similarity toIdeal Solution (TOPSIS) to provide a decision. TOPSIS is a decision making method using several criteria which are used to select the best alternative from several alternatives based on previously determined criteria. The results of the ranking of the selection of permanent employees at PT.PN IV Tinjowan who received rank 1 with a value of 0.570 was an employee with the name Arditya, rank 2 with a value of 0.553 was an employee with the name Juli Sundari, rank 3 with a value of 0.547 was an employee with the name Indra Junanda, ranking 4th with a value of 0.544 is an employee with the name Julfhan, 5th with a value of 0.528 is an employee with the name Ranto Adi Irawan, 6th with a value of 0.517 is an employee with the name Raju Kusuma Saputra, 7th with a value of 0.478 is an employee with the name Roni Anggara, ranked 8th with a value of 0.452 is an employee with the name Siswandi. Keywords: Alternatives; Decisions; Systems; Criteria; Employee; CompanyAbstrak: Penelitian ini bertujuan untuk menentukan pemilihan karyawan tetap pada PTPN IV Tinjowan dengan menggunakan beberapa kriteria diantaranya Absensi, Jumlah Panen, Usia, dan Pendidikan dengan menerapkan metode Technique for Order of Preference by Similarity toIdeal Solution (TOPSIS) untuk memberikan sebuah keputusan. TOPSIS merupakan suatu metode pengambilan keputusan dengan menggunakan beberapa kriteria yang digunakan untuk menyeleksi alternatif terbaik dari beberapa alternatif berdasarkan kriteria yang telah di tentukan sebelumnya. Hasil perangkingan pemilihan karyawan tetap pada PT.PN IV Tinjowan yang memperoleh rangking 1 dengan nilai sebesar 0,570 adalah karyawan dengan nama Arditya, rangking 2 dengan nilai sebesar 0,553 adalah karyawan dengan nama Juli Sundari, rangking 3 dengan nilai sebesar 0,547 adalah karyawan dengan nama Indra Junanda, rangking 4 dengan nilai sebesar 0,544 adalah karyawan dengan nama Julfhan, rangking 5 dengan nilai sebesar 0,528 adalah karyawan dengan nama Ranto Adi Irawan, rangking 6 dengan nilai sebesar 0,517 adalah karyawan dengan nama Raju Kusuma Saputra, rangking 7 dengan nilai sebesar 0,478 adalah karyawan dengan nama Roni Anggara, rangking 8 dengan nilai sebesar 0,452 adalah karyawan dengan nama Siswandi.Kata kunci: Alternatif; Keputusan; Kriteria; Sistem; Karyawan; Perusahaan


Review

This paper presents a decision support system (DSS) designed for the selection of permanent employees at PT.PN IV Tinjowan, utilizing the TOPSIS method and implemented as a web-based application. The research addresses a common and critical organizational challenge: objectifying the employee selection process. By proposing a structured, criteria-driven approach, the study aims to enhance fairness and efficiency in identifying suitable candidates for permanent positions. The application of a well-established Multi-Criteria Decision Making (MCDM) technique like TOPSIS for this practical problem demonstrates a relevant and potentially valuable contribution to the company's human resource management. The methodology employed in this study centers on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a robust method for ranking alternatives based on their proximity to the ideal solution and distance from the negative-ideal solution. The identified criteria for employee selection—Attendance, Number of Harvests, Age, and Education—are pertinent to the operational context of PT.PN IV Tinjowan, particularly given the potential agricultural or production focus implied by "Number of Harvests." The abstract clearly outlines the primary findings, presenting a ranked list of employees with their corresponding TOPSIS scores, which highlights Arditya as the top-ranked candidate. This practical output directly addresses the research's objective of providing a clear decision-making aid. While the paper offers a practical solution, certain aspects could benefit from further elaboration. The abstract, though clear in its objective and results, provides limited detail on the web-based implementation itself, which is a key component mentioned in the title. Future iterations could detail the system's architecture, user interface considerations, and how it integrates with existing company data. Furthermore, a discussion on the weighting of the chosen criteria and a sensitivity analysis would enhance the robustness of the TOPSIS application, demonstrating how changes in criterion importance might affect the final rankings. Despite these points, the research offers a solid foundation for a data-driven approach to employee selection, providing a tangible tool for PT.PN IV Tinjowan and setting the stage for more in-depth analyses in future work.


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