RANCANGAN MODEL PENILAIAN KINERJA DENGAN METODE MANAJEMEN BERDASARKAN SASARAN (MANAGEMENT BY OBJECTIVE) DAN PENSKALAAN GRAFIK DI PT ACI

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Linda Mora Siregar
Keyword(s):  
Performance Appraisal ◽  
Job Analysis ◽  
Scaling Method ◽  
Scaling Methods ◽  
Questionnaire Method ◽  
A Performance

The purpose of this study is to design a performance appraisal model more effectively in accordance with the company's vision and mission, namely by combining management methods based on objectives (management by objective) and graph scaling methods. In the preparation of performance appraisal models with management methods based on objectives (management by objective) and graph scaling methods, carried out with several stages, namely the first stage is planning the making of performance appraisal models, the second is job analysis, third is the preparation of management methods based on objectives (management by objective), the fourth is the preparation of the scaling method and the fifth is the preparation of the performance appraisal form. The making of this performance appraisal design will use a questionnaire method, observation and also interviews to obtain and collect information and data.  Keywords: Performance Appraisal, Management Methods, Graph Scaling.   Tujuan penelitian ini adalah untuk merancang model penilaian kinerja secara lebih efektif sesuai dengan visi dan misi perusahaan, yaitu dengan menggabungkan metode manajemen berdasarkan sasaran (management by objective) dan metode penskalaan grafik. Dalam penyusunan model penilaian kinerja dengan metode manajemen berdasarkan sasaran (management by objective) dan metode penskalaan grafik, dilakukan dengan beberapa tahapan yaitu tahap pertama adalah perencanaan pembuatan model penilaian kinerja, kedua analisis jabatan, ketiga penyusunan metode manajemen berdasarkan sasaran (management by objective), keempat penyusunan metode penskalaan grafik dan kelima adalah penyusunan formulir penilaian kinerja. Pembuatan rancangan penilaian kinerja ini akan menggunakan metode kuesioner, observasi dan juga wawancara untuk mendapatkan dan mengumpulkan informasi dan data.   Kata Kunci: Penilaian kinerja, Metode Manajemen, Penskalaan Grafik.

scholarly journals DESIGNING A PERFORMANCE APPRAISAL SYSTEM FOR MANAGEMENT CONSULTANT OFFICE “D”

2020 ◽  
Vol 1 (3) ◽  
pp. 361-374
Author(s):  
Susanto Susanto ◽  
Noviaty Kresna Darmasetiawan
Keyword(s):  
Performance Appraisal ◽  
Job Analysis ◽  
Appraisal System ◽  
Systematic Analysis ◽  
Management Consultant ◽  
Performance Appraisal System ◽  
Analysis Determination ◽  
Collection Methods ◽  
A Performance

This design aims to conduct a job analysis and designing a performance appraisal system for Management Consultant Office "D". The constructionism approach used in this design that presents a structured and systematic analysis by describing the steps of designing a performance appraisal system through data collection methods: interviews, direct observation and document analysis. A summary of the findings shows that the Management Consultant Office "D" has never done a job analysis for each level of position in the organization and don’t have a performance appraisal system. Therefore, a job analysis is performed for each level of position and neatly formatted in the job analysis table. The results of this design are in the form of job analysis, determination of the performance appraisal dimensions and their weighting which are made into the format of the performance appraisal form along with the procedures and the procedures for carrying out the performance appraisal.

IMPLEMENTATION OF THE WATER USE PLAN PROCEDURES, MEASURES AND WATER USE

2020 ◽  
Vol 6 (2) ◽  
pp. 50-58
Author(s):  
Matluba Muxammadiyeva ◽  
◽  
Iftixor Ergashev
Keyword(s):  
Performance Appraisal ◽  
Water Use ◽  
Irrigation System ◽  
Low Pressure ◽  
Irrigation Systems ◽  
Irrigation Methods ◽  
Point Pressure ◽  
A Performance

If we look at the existing irrigation methods used today in the country, then they are divided into: ground, rainfall, underground or underground, drip and spray. Basically, they are transferred to the irrigation field in two forms: through gravity and pressure irrigation systems. Naturally, a gravity irrigation system is economically more expensive than a low pressure irrigation system. However, from a performance appraisal stand point, pressure irrigation methods are less efficient and have serious disadvantages

scholarly journals A comparison of the modern Lie scaling method to classical scaling techniques

2016 ◽  
Vol 20 (7) ◽  
pp. 2669-2678 ◽  
Author(s):  
James Polsinelli ◽  
M. Levent Kavvas
Keyword(s):  
Lie Group ◽  
Overland Flow ◽  
New Technology ◽  
Scaling Method ◽  
Lie Group Of Transformations ◽  
Key Points ◽  
Scaling Transformation ◽  
Scaling Models ◽  
Scaling Methods ◽  
Channel Hydraulics

Abstract. In the past 2 decades a new modern scaling technique has emerged from the highly developed theory on the Lie group of transformations. This new method has been applied by engineers to several problems in hydrology and hydraulics, including but not limited to overland flow, groundwater dynamics, sediment transport, and open channel hydraulics. This study attempts to clarify the relationship this new technology has with the classical scaling method based on dimensional analysis, non-dimensionalization, and the Vaschy–Buckingham-Π theorem. Key points of the Lie group theory, and the application of the Lie scaling transformation, are outlined and a comparison is made with two classical scaling models through two examples: unconfined groundwater flow and contaminant transport. The Lie scaling method produces an invariant scaling transformation of the prototype variables, which ensures the dynamics between the model and prototype systems will be preserved. Lie scaling can also be used to determine the conditions under which a complete model is dynamically, kinematically, and geometrically similar to the prototype phenomenon. Similarities between the Lie and classical scaling methods are explained, and the relative strengths and weaknesses of the techniques are discussed.

Components Map Generation of Gas Turbine Engine Using Genetic Algorithms and Engine Performance Deck Data

2006 ◽  
Vol 129 (2) ◽  
pp. 312-317 ◽  
Author(s):  
Changduk Kong ◽  
Jayoung Ki
Keyword(s):  
Experimental Data ◽  
Genetic Algorithms ◽  
Gas Turbine ◽  
Test Data ◽  
Engine Performance ◽  
Scaling Method ◽  
Turbine Engine ◽  
Scaling Methods ◽  
Map Generation ◽  
Component Map

In order to estimate the gas turbine engine performance precisely, the component maps containing their own performance characteristics should be used. Because the components map is an engine manufacturer’s propriety obtained from many experimental tests with high cost, they are not provided to the customer generally. Some scaling methods for gas turbine component maps using experimental data or data partially given by engine manufacturers had been proposed in a previous study. Among them the map generation method using experimental data and genetic algorithms had showed the possibility of composing the component maps from some random test data. However not only does this method need more experimental data to obtain more realistic component maps but it also requires some more calculation time to treat the additional random test data by the component map generation program. Moreover some unnecessary test data may introduced to generate inaccuracy in component maps. The map generation method called the system identification method using partially given data from the engine manufacturer (Kong and Ki, 2003, ASME J. Eng. Gas Turbines Power, 125, 958–979) can improve the traditional scaling methods by multiplying the scaling factors at design point to off-design point data of the original performance maps, but some reference map data at off-design points should be needed. In this study a component map generation method, which may identify the component map conversely from some calculation results of a performance deck provided by the engine manufacturer using the genetic algorithms, was newly proposed to overcome the previous difficulties. As a demonstration example for this study, the PW206C turbo shaft engine for the tilt rotor type smart unmanned aerial vehicle which has been developed by Korea Aerospace Research Institute was used. In order to verify the proposed method, steady-state performance analysis results using the newly generated component maps were compared with them performed by the Estimated Engine Performance Program deck provided by the engine manufacturer. The performance results using the identified maps were also compared with them using the traditional scaling method. In this investigation, it was found that the newly proposed map generation method would be more effective than the traditional scaling method and the methods explained above.

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