Sistem Pendukung Keputusan Pemilihan Pegawai Non-PNS Terbaik di Dinas Pengendalian Penduduk Dan Keluarga Berencana Kota Binjai Menggunakan Metode Moosra Dan Roc

Employee evaluations within an organization are efforts to measure and motivate employees to enhance their skills and abilities. These evaluations are expected to help the organization assess and identify improvements or developments in employee capabilities to support the organization in achieving its goals. The evaluations are anticipated to produce fair and transparent results that are acceptable to all parties involved. The rapid advancement of information technology has brought changes to the employee evaluation process. Specifically, the Population Control and Family Planning Office of Binjai City requires a system that can assist in evaluating the performance of its non-permanent employees. There are various methods that can be used in designing a system to produce the best decisions. Among them is the MOOSRA (Multi-Objective Optimization on the Basis of Simple Ratio Analysis) method, which is one of the multi-objective optimization techniques used in decision support systems. The MOOSRA method is similar to the MOORA method but differs in performance score determination: MOORA uses a reduction operator, while MOOSRA relies on calculations based on criteria and alternative division operators. MOOSRA performs calculations based on the provided criteria and alternatives. To determine the weight of each criterion, the ROC (Rank Order Centroid) method is employed, which assigns weights to each criterion based on their ranking and priority levels. This ensures that the evaluation of non-permanent employees at the Population Control and Family Planning Office of Binjai City produces the best results. The MOOSRA and ROC methods can be used to build a decision support system that delivers optimal evaluations of non-permanent employees. Awarding the title of "best employee" can enhance morale and motivation among employees in achieving the organization's previously established goals. The selection of the best non-permanent employee must be conducted fairly and transparently so that the results are accepted by all non-permanent employees of the Population Control and Family Planning Office of Binjai City. A decision support system performs calculations based on established criteria for each alternative and provides recommendations that can help leadership make the best decisions. The MOOSRA method is a decision support system technique that uses multi-criteria analysis in its calculations, while the ROC method aids in determining the weight of criteria based on their priority.

Authors

Institutions

Publication Details

Journal
JURNAL PENELITIAN SISTEM INFORMASI (JPSI)
Published
2024-09-20
DOI
https://doi.org/10.54066/jpsi.v2i4.2454
Primary Topic
Legal Studies and Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sistem Pendukung Keputusan Pemilihan Pegawai Non-PNS Terbaik di Dinas Pengendalian Penduduk Dan Keluarga Berencana Kota Binjai Menggunakan Metode Moosra Dan Roc

Rusmin Saragih, Relita Buaton, Rianty Zabitha Siregar
JURNAL PENELITIAN SISTEM INFORMASI (JPSI)
Legal Studies and Policies
article

Sistem Pendukung Keputusan Pemilihan Pegawai Non-PNS Terbaik di Dinas Pengendalian Penduduk Dan Keluarga Berencana Kota Binjai Menggunakan Metode Moosra Dan Roc

Rusmin Saragih, Relita Buaton, Rianty Zabitha Siregar
article en

Abstract

Employee evaluations within an organization are efforts to measure and motivate employees to enhance their skills and abilities. These evaluations are expected to help the organization assess and identify improvements or developments in employee capabilities to support the organization in achieving its goals. The evaluations are anticipated to produce fair and transparent results that are acceptable to all parties involved. The rapid advancement of information technology has brought changes to the employee evaluation process. Specifically, the Population Control and Family Planning Office of Binjai City requires a system that can assist in evaluating the performance of its non-permanent employees. There are various methods that can be used in designing a system to produce the best decisions. Among them is the MOOSRA (Multi-Objective Optimization on the Basis of Simple Ratio Analysis) method, which is one of the multi-objective optimization techniques used in decision support systems. The MOOSRA method is similar to the MOORA method but differs in performance score determination: MOORA uses a reduction operator, while MOOSRA relies on calculations based on criteria and alternative division operators. MOOSRA performs calculations based on the provided criteria and alternatives. To determine the weight of each criterion, the ROC (Rank Order Centroid) method is employed, which assigns weights to each criterion based on their ranking and priority levels. This ensures that the evaluation of non-permanent employees at the Population Control and Family Planning Office of Binjai City produces the best results. The MOOSRA and ROC methods can be used to build a decision support system that delivers optimal evaluations of non-permanent employees. Awarding the title of "best employee" can enhance morale and motivation among employees in achieving the organization's previously established goals. The selection of the best non-permanent employee must be conducted fairly and transparently so that the results are accepted by all non-permanent employees of the Population Control and Family Planning Office of Binjai City. A decision support system performs calculations based on established criteria for each alternative and provides recommendations that can help leadership make the best decisions. The MOOSRA method is a decision support system technique that uses multi-criteria analysis in its calculations, while the ROC method aids in determining the weight of criteria based on their priority.

JURNAL PENELITIAN SISTEM INFORMASI (JPSI)Vol. 2(4)
Kootenay Association for Science & Technology (CA)
Openalex Percentile: Top 60%
Legal Studies and Policies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.