scholarly journals Metode Simple Additive Weighting Dalam Pemilihan Karyawan Berprestasi Pada PT. Kereta Commuter Indonesia Stasiun Rawa Buntu

2020 ◽  
Vol 10 (2) ◽  
pp. 128
Author(s):  
Yuliantika Siswanti Utami ◽  
Kresna Ramanda
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Employee Performance ◽  
Improve Quality ◽  
Train Station ◽  
Quality Of Work ◽  
Decision Making System ◽  
Simple Additive Weighting ◽  
Selection Of

Rawa Buntu Indonesia Commuter Train Station has its own qualifications in selecting employees, as well as in determining employees who excel. This study aims to give awards to employees who excel. Through this award every employee is expected to be motivated to become better and improve quality. The problem faced is the difficulty in determining who is chosen to be an outstanding employee with subjective criteria. To overcome this problem, a decision support system is designed for the selection of outstanding employees using the SAW Method. By using 5 different variables, namely Integrity, Cooperation, Communication, Quality of Work and Work Discipline. By applying the Simple Additive Weighting (SAW) method, the process of selecting employee performance is more efficient so that the station can make decisions more quickly for employees who excel. Decision making system using the Simple Additive Weighting (SAW) method has helped the station in determining the selection of employee performance.

scholarly journals Penentuan Penerimaan Mahasiswa Baru Pascasarjana Menggunakan Simple Additive Weighting (SAW)

2019 ◽  
Vol 8 (2) ◽  
pp. 121-129
Author(s):  
Febri Hadi ◽  
Dodi Guswandi
Keyword(s):  
Decision Making ◽  
Graduate Students ◽  
Decision Making Process ◽  
Postgraduate Student ◽  
Prospective Students ◽  
Study Programs ◽  
Decision Making System ◽  
Simple Additive Weighting ◽  
Selection Of

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.

scholarly journals Sistem Pendukung Keputusan Pemilihan Jenis Bibit Unggul Kelapa Sawit Menggunakan Metode Analytic Network Process

2020 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Amelia Rizqi Utami ◽  
S Solikhun ◽  
I Irawan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Support System ◽  
Oil Palm ◽  
Analytic Network Process ◽  
Network Process ◽  
Decision Making System ◽  
Quality Of Research ◽  
Selection Of

With the Decision Support System can improve the quality of research to be made. For example, in the selection of superior quality oil palm seeds for the new land planting process. However, in the selection of oil palm seedlings not only in financial terms, but must be seen from a variety of criteria such as weather which is very influential in the process of selecting superior seeds of oil palm and others. If the oil palm seedlings to be selected have met the criteria, the oil palm seedlings will be a good supporting factor. The support system applied in this study is called the Analytic Network Process (ANP). The ANP method is a procedure which is used to make decisions with many interrelated criteria. by using the ANP method, it will produce priority value weighting on all elements contained in the decision making system.

scholarly journals PEMILIHAN PEGAWAI BERPRESTASI DI LINGKUNGAN YAYASAN TP 45 NEGARA BERBASIS SISTEM PENUNJANG KEPUTUSAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING

2019 ◽  
Vol 1 (1) ◽  
pp. 18-23
Author(s):  
I Nengah Juniawan ◽  
Ida Bagus Kade Dwi Suta Negara
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Human Resources ◽  
Performance Appraisal ◽  
Length Of Service ◽  
Simple Additive Weighting ◽  
Or Organization ◽  
Alternative Solutions ◽  
Selection Of

The quality of human resources is one of the supporting factors to improve the productivity of the performance of an agency or organization. Therefore, competent human resources can support the level of performance, with the performance appraisal will be known that the achievements of each employee, this makes it easy for agencies or organizations to consider in determining the best employees. Decision Support System is a system that is able to manage data and provide the best alternative solutions. The selection of outstanding employees is determined based on criteria and weights, namely: the level of attendance, accuracy of work assignments, leadership, and length of service. Furthermore, the data from the employee is processed using the Simple Additive Weighting (SAW) method. This Simple Additive Weighting (SAW) method gives a weighting to each of the criteria used to produce the best alternative value. With this system, it is expected to be able to assist in faster decision making in high achieving employees within the TP 45 Negara Foundation.

scholarly journals TOPSIS Method Application for Decision Support System in Internal Control for Selecting Best Employees

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Robbi Rahim ◽  
Tri Listyorini
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Internal Control ◽  
Computational Method ◽  
Top Management ◽  
Job Responsibilities ◽  
Decision Making System ◽  
Selection Of

The selection of the best employees is one of the process of evaluating how well the performance of the employees is adjusted to the standards set by the company and usually done by top management such as General Manager or Director. In general, the selection of the best employees is still perform manually with many criteria and alternatives, and this usually make it difficult top managerial making decisions as well as the selection of the best employees periodically into a long and complicated process. Therefore, it is necessary to build a decision support system that can help facilitate the decision maker in determining the best choice based on standard criteria, faster, and more objective. In this research, the computational method of decision-making system used is Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The criteria used in the selection of the best employees are: job responsibilities, work discipline, work quality, and behaviour. The final result of the global priority value of the best employee candidates is used as the best employee selection decision making tool by top management.

scholarly journals Decision Support System For Employee Bonus Determination With Web-Based Simple Additive Weighting (SAW) Method In PT. Mayatama Solusindo

2020 ◽  
Vol 2 (1) ◽  
pp. 7-13
Author(s):  
Yuda Irawan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Program Implementation ◽  
System Development ◽  
Employee Performance ◽  
Weighting Method ◽  
Simple Additive Weighting ◽  
Analysis System

Decision Support System is a computerized system designed to increase effectiveness in decision making to solve semi-structured and unstructured problems so that the decision-making process can be of higher quality. One method of solving MADM problems is by using the Simple Additive Weighting method. The SAW method is to find the weighted sum of the performance ratings for each alternative of all attributes. This study aims to design and create a system to determine which employees are entitled to receive bonuses, for that we need a decision support for giving employee bonuses decisions. In this study using the Simple Additive Weighting method. The system development model used is a waterfall. Waterfall has several stages, namely needs analysis, system design, writing program code, program testing, program implementation and maintenance. The results showed the benefits of the SAW method as a decision support system for determining employee bonuses based on the employee performance of PT. Mayatama Solusindo can assist administrators in determining employee bonuses quickly and effectively. So the bonus that employees get using the SAW method is the basic salary times the percentage of the ranking value.

Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Metode Fuzzy Tahani

2018 ◽  
Vol 6 (2) ◽  
pp. 169-178
Author(s):  
Ayuni Putri Astari ◽  
Rachman Komarudin
Keyword(s):  
Fuzzy Logic ◽  
Performance Evaluation ◽  
Employee Performance ◽  
Logic Model ◽  
Quality Of Work ◽  
A Company ◽  
Output Space ◽  
Selection Of ◽  
Theory Of Fuzzy Sets

Abstract   Companies need high-quality employees to develop competitively. At the same time, employees need feedback on their performance as guidelines for future actions. One of the problems in performance evaluation in a company is that it is still not objective. The lack of objective in evaluating employees will disrupt activities and productivity within the company. To avoid this, the employee performance evaluation can be done using the Fuzzy Logic model. With the assessment criteria, namely the presence, knowledge, behavior, communication, the quality of work that becomes the input for its fuzzy value. Fuzzy logic is an appropriate way to map an input space into an output space. This technique uses a mathematical theory of fuzzy sets. Fuzzy logic is related to uncertainty that has become a human nature. The basic idea of fuzzy logic arises from the principle of obscurity. By using Fuzzy Hold logic, assessment is more accurate and reduces subjectivity in the selection of the best employees.   Keywords: DSS, Fuzzy Tahani.   Abstrak   Karyawan merupakan asset terbaik dalam perusahaan, untuk memberikan apresisi kinerja dari karyawan maka perusahaan dalam hal ini PT Culture Royale memilih karyawan terbaik berdasarkan kriteria pengetahuan, keahlian, kepribadian, disiplin kerja dan loyalitas. Permasalahan dalam pemilihan karyawan terbaik adalah masih kurang objektif, dengan menggunakan Fuzzy Tahani data-data dari kriteria tersebut dapat diolah untuk mendapatkan hasil yang dapat direkomendasikan dalam menentukan keputusan pemilihan karyawan terbaik.Tujuan dalam penelitian ini untuk menerapkan logika Fuzzy Tahani untuk penilaian pemilihan karyawan terbaik pada PT Culture Royale. Hasil seleksi pemilihan karyawan terbaik menunjukan bahwa karyawan yang memiliki nik sls005 memiliki nilai rekomendasi yang paling tinggi yaitu 1 yang di hasilkan dari nilai:  pengetahuan baik, keahlian baik, kepribadian baik, disiplin kerja baik, dan loyalitas baik. Dengan nilai keanggotaan fuzzy dari masing-masing kriteria adalah 1. Maka dari itu karyawan dengan nik sls005 yang bernama Ray terpilih untuk menjadi karyawan terbaik.   Kata kunci: Fuzzy Tahani, SPK.  

scholarly journals Implementation Of The SAW Method For Selection Of Best Operational Vehicles

2020 ◽  
Vol 4 (1) ◽  
pp. 67-75
Author(s):  
Irmawati Carolina ◽  
Fitra Hariman Hakim ◽  
Adi Supriyatna
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Complex Problem ◽  
Alternative Form ◽  
Simple Additive Weighting ◽  
Selection Of

Operational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method.

scholarly journals Fuzzy Analytical Hierarchy Process Method to Determine the Quality of Gemstones

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Mochammad Sobandi Dwi Putra ◽  
Septi Andryana ◽  
Fauziah ◽  
Aris Gunaryati
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Analytical Hierarchy Process ◽  
Ahp Method ◽  
Ahp Model ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

The selection of quality gemstones requires a special ability to select and assess the quality of gemstones to be traded. The diversity of types of gemstones and consumers becomes an obstacle in itself when the knowledge and ability of individuals to analyze the quality of gemstones is minimal. The decision-making method used is Fuzzy Analytical Hierarchy Process (F-AHP) method which is widely used in various sectors. F-AHP is easy to adapt to many decision issues; the research proposes a decision-making system using the F-AHP algorithm to analyze the quality of gemstones. The results obtained with the use of F-AHP model in the selection of quality gemstones show the highest quality of gemstones of all stones compared, Rubi 1, with a weight value of 0.152942.

scholarly journals Penerapan Metode Simple Additive Weighting Pada Sistem Pendukung Keputusan Pengangkatan Karyawan Berbasis Web

2019 ◽  
Vol 5 (2) ◽  
pp. 259-264
Author(s):  
Siti Ernawati ◽  
Risa Wati
Keyword(s):  
Decision Making ◽  
Information System ◽  
Human Resources ◽  
Employee Performance ◽  
Improve Performance ◽  
Web Based ◽  
Permanent Employees ◽  
Simple Additive Weighting ◽  
A Company

The success or failure of a company depends on the human resources in the company. The quality of every human resource is needed to improve performance productivity. The process of appointing permanent employees is something that is often done by companies, one of the reasons is the company's appreciation of employee performance. For this reason, the process of appointing employees is more professional, so a decision support system is needed to assist in selecting employees who deserve to be appointed as permanent employees. The method will be applied in this research is simple additive weighting (SAW). SAW method is selected because it is very simple, can determine the value of weight then determine the ranking of the results of normalization. There are ten criteria and weights for each of the criteria used in this research. The purpose of this research is to design and create a web based information system as a tool for decision making in the process of appointment employees. It is hoped that this information system will benefit for the company so hat the employee appointment process do optimally and the time is more efficient.

scholarly journals Implementation of Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) Methods in Selection of Young Lecturers with Achievements

2021 ◽  
Vol 5 (1) ◽  
pp. 84
Author(s):  
M Mesran ◽  
Nelly Khairani Daulay
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Assessment Criteria ◽  
Product Assessment ◽  
Simple Additive Weighting ◽  
The University ◽  
To Receive ◽  
Selection Of

Lecturers are resources owned by the University. One of the efforts to improve the quality of lecturers is by giving appreciation in the form of rewards or awards to the best lecturers or lecturers who excel. However, to be able to provide these rewards, of course there are several assessments that will be given to lecturers. The problem is how to give the assessment so that the lecturer is declared worthy to receive a reward or award. There is a decision support system or abbreviated as DSS where in the system there are several methods that can be used to provide an assessment of course with the determined assessment criteria. In this research, the method used is the Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) with several criteria into consideration. The results showed that alternative A3 and A2 were selected as outstanding young lecturers.

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