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.

scholarly journals Application for Lecturer Recruitment Using Simple Additive Weighting (SAW) Method Case Study: Tanri Abeng University Jakarta

2020 ◽  
Vol 3 (1) ◽  
pp. 15-20
Author(s):  
Pramitha Dwi Larasati ◽  
Ari Irawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Teaching Methods ◽  
Good Potential ◽  
The Subject ◽  
Simple Additive Weighting ◽  
The University ◽  
Selection Of

In the selection of acceptance of lecturers at a university can be done when the selected applicants have a good competence in accordance with they’re background because this can affect the teaching service. Lecturers who have good competence has the ability for understanding the subject matter that in line with the background, extensive pieces of knowledge, be able to speak English both oral and written and be able to provide a positive example and teaching methods that are easily understood by students. This can provide a good image for the university because the selected lecturers have a good potential. To help determine the acceptance of lecturers then we needed a decision support system. One method that can be used for Decision Support System is using Simple  Additive Weighting (SAW). This method is chosen because it is able to select the best alternative from a number of alternatives, in this case, the intended alternative is to determine the acceptance of lecturers

scholarly journals SPK PENENTUAN PEMBERIAN PINJAMAN KEPADA ANGGOTA BUMDES DENGAN METODE SIMPLE ADDITIVE WEIGHTING

2019 ◽  
Vol 2 (2) ◽  
pp. 124-130
Author(s):  
Nurul Putri Utami ◽  
Hasanul Fahmi ◽  
Anita Sindar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Attribute Weights ◽  
The World ◽  
Simple Additive Weighting ◽  
The Village ◽  
To Receive

Information technology as a tool in the quality of manpower one of the world of government in the village, especially in the field of village-owned enterprises which are still doing work with the manual system. In addition, where it really needs a decision support system to help human resources in utilizing technology to run a process quickly and efficiently. The approach to find the value of attribute weights, namely approaching the existence of subjective, objective approaches and approaches of integration between subjective and objective. Decision Support System Implementation with Simple Additive Weighting Method can be used to determine the granting of loans to members of BUMDes Maju Bersama by entering in the form of alternative data and then entering the weight value seen in the existing criteria, so that it can produce the calculation value and the ranking of the prospective loan recipient. This draft will show the final results of each member who will borrow funds, and the highest rating can be said of the members who will receive loan assistance, the lowest rating will be given the opportunity to make decisions later to receive loan assistance.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TELADAN DI UNIVERSITAS BANTEN JAYA MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

2021 ◽  
Vol 4 (1) ◽  
pp. 57-72
Author(s):  
Raden Kania ◽  
Rustam Effendi ◽  
Anggun Risdiansyah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Employee Performance ◽  
Educational Institutions ◽  
Work System ◽  
Computer Based ◽  
Simple Additive Weighting ◽  
The University

Banten Jaya University (UNBAJA) is one of the educational institutions engaged in technology and information, which part of the system has been computerized. But in development there is still a work system that is done manually. Data processing from information that is done manually can be said to be far from the goal, given the importance of effectiveness and efficiency of employee performance. Therefore, Banten Jaya University must be able to improve the quality and quality of employee performance by holding a Decision Support System using the simple addinue weight (SAW) method, which is a computer-based information system and also includes a system with a knowledge management basis, used to support decision making in an organization or company. The decision support system for selecting exemplary employees at the University of Banten Jaya (UNBAJA) can be run well. The development model used is Waterfall. The stage of the process of making a decision support system for selecting exemplary employees at the University of Banten Jaya (UNBAJA) begins with making a design, determining the flow of the work system, making a coding program, making a design view. The decision support system for selecting exemplary employees at the University of Banten Jaya (UNBAJA) uses a PHP MySQL database server. From the test results using the Black Box, the results show that the system testing decision support system for selecting exemplary employees at the University of Banten Jaya (UNBAJA) is successful and can be used and operated well.

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

scholarly journals Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Website dengan Metode Simple Additive Weighting

2018 ◽  
Vol 8 (1) ◽  
pp. 34
Author(s):  
Razqa Lathif Pradana ◽  
Dwi Purwanti ◽  
Arif Arfriandi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Automatic System ◽  
National Level ◽  
Black Box ◽  
Black Box Testing ◽  
Simple Additive Weighting ◽  
Selection Of

Generally, the selection of outstanding students in every school still uses the report value as the reference and it is done manually. It is required a system that may select the outstanding students accordance with the criteria and done automatically. In this study, it was developed an automatic system for selecting outstanding students by using Simple Additive Weighting (SAW) concept. The criteria set by the school in the selection of outstanding students are the average of the first and the second semester score, the achievements on district, city, and national level, liveliness in the organization and extracurricular, and credit point of attitude. Method of investigation used in this study is R & D, including introduction study, the development of system consisting of the application of SAW method and designing waterfall method, and testing of system which done by testing the comparison of the result and respond of users. The result of black box testing showed that all functionality in the system run well and appropriate; while for the white box showed that all paths run in accordance with SAW method. For the result of the comparison testing showed that the validation level was 100%. The result of the users respond revealed that the average of teacher responds was 90% and the students respond was 80, 34%. Therefore it can be concluded that decision support system by using SAW method can determine the outstading students.

scholarly journals Metode Simple Additive Weighting (SAW) Dalam Pemilihan Sim Card Provider

2020 ◽  
Vol 1 (2) ◽  
pp. 97-108
Author(s):  
Andy Widya Putera ◽  
Anna Mukhayaroh ◽  
Samudi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
The Internet ◽  
Community Activities ◽  
Internet Connection ◽  
Sim Card ◽  
Using Data ◽  
Simple Additive Weighting ◽  
Selection Of

With the development of technology at this time Sim Card Provider is needed to support community activities. In Indonesia alone many Sim Card Provider many services and also ease of accessing the internet, sonsumers are required to see which Sim Card Provider suits their needs. To overcome the problem of selecting the Sim Card Provider, a Decision Support System will be made using the Simple Additive Weighting (SAW) method using data taken from questionnaires distributed to Sim Card Provider users, which is expected to help in the selection of the appropriate Sim Card Provider with Consumer needs. The author uses six criteria, namely Signal, Price, Internet Package, Internet Connection, Phone Bonus, SMS Bonus. By using five alternatives namely Simpati, XL, Indosat, Smartfren, Three (3). The final result of this study indicated that alternative 5 or Three (3) has the biggest result of 3,245 and alternative 3 namely Indosat has the lowest result among the alternatives which is 2,625.   Keywords: Criteria, Sim Card Provider, Simple Additive Weighting   Abstrak   Dengan berkembangnya teknologi pada saatini Sim Card Provider sangat dibutuhkan untuk menunjang aktivitas masyarakat. Di Indonesia sendiri banyak Sim Card Provider banyak menyediakan layanan dan juga kemudahan dalam mengakses internet, konsumen dituntut untuk melihat manakah Sim Card Provider yang sesuai dengan kebutuhan. Untuk mengatasi masalah pemilihan Sim Card Provider tersebut maka akan dibuat Sistem Pendukung Keputusan dengan menggunakan Metode Simple Additive Weighting (SAW) dengan menggunakan data yang diambil dari kuesioner yang dibagikan kepada para pengguna Sim Card Provider, yang diharapkan dapat membantu dalam pemilihan Sim Card Provider yang sesuai dengan kebutuhan Konsumen. Penulis menggunakan enam kriteria yaitu Sinyal, Harga, Paket Internet, Koneksi Internet, Bonus Telpon, Bonus Sms. Dengan menggunakan lima alternatif yaitu Simpati, XL, Indosat, Smartfren, Three (3). Hasil akhir dari penelitian ini menunjukan bahwa alternatif 5 atau Three (3) memiliki hasil terbesar yaitu 3,245 dan alternatif 3 yaitu Indosat memiliki hasil terendah diantara alternatif yang ada yaitu 2,625. Kata kunci: Kriteria, Sim Card Provider, Simple Additive Weighting

scholarly journals THE IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE SELECTION OF REHABILITATION FUND RECIPIENTS FOR UNINHABITABLE HOME

2019 ◽  
Vol 10 (1) ◽  
pp. 309-318
Author(s):  
Dwi Krisbiantoro ◽  
Wiga Maulana Baihaqi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Rehabilitation Program ◽  
Weighting Method ◽  
The Family ◽  
Selection Decision ◽  
Simple Additive Weighting ◽  
To Receive

The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.

scholarly journals Aplikasi Perbandingan Pemilihan Guru Private Homeschooling menggunakan Algoritma Simple Additive Weighting (SAW) dan Weight Product Berbasis Web

2021 ◽  
Vol 4 (2) ◽  
pp. 14
Author(s):  
Raka Adji Setiawan ◽  
Fauziah Fauziah ◽  
Ratih Titi Komala Sari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Teacher Selection ◽  
Teacher Performance ◽  
Performance Rating ◽  
Selection System ◽  
Simple Additive Weighting ◽  
Attribute Type ◽  
Selection Of

This study aims to compare the selection of private homeschool teachers using the Simple Additive Weighting (SAW) and Weight Product (WP) algorithms, the criteria that have been taken by the author to calculate their weight in selecting private teachers who excel and provide convenience with an assessment based on criteria. In this effort, the authors can build a private teacher selection system with the Simple Additive Weighting (SAW) algorithm to find the total weights of the teacher performance rating for each alternative on all attributes and compare it to the Weight Product (WP) algorithm using the multiplication technique to link the attribute rating. where the attribute type rating must be ranked first with the associated weight attribute. From the results of this study, the authors have described how the design and application of SAW and WP in making a Decision Support System in selecting private homeschooling teachers.Keywords:Simple Additive Weighting (SAW), Weight Product (WP), Decision Support Systems, Teacher Selection, Homeschooling.

scholarly journals Simple Additive Weigthing (SAW) Untuk Pemberian Reward Kepada Karyawan Pada PT. CAHAYA KASIH ANUGRAH

2020 ◽  
Vol 3 (3) ◽  
pp. 95-105
Author(s):  
Fernando B Siahaan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Employee Performance ◽  
Performance Appraisals ◽  
Performance Rating ◽  
Simple Additive Weighting ◽  
To Receive

Reward is a form of appreciation given by the company to its employees for the achievements given in a certain period, this gift is a form of motivation to all employees to show their performance at the company. The problem is that there is no system for conducting an assessment because it is still manual, a decision support system is needed to determine employee performance appraisals based on criteria set by the company. Simple additive weighting is the best method to perform weighted summation of the performance rating of each alternative on the attribute. The purpose of this study was to determine the assessment of the criteria for the best employees to receive rewards using simple additive weighting. In the discussion, it is explained that the criteria for evaluating employee performance consist of competence, responsibility, behavior, cooperation and discipline. The conclusion is that the best employees are Brother Fredy's after adding the preference values of each leader, namely 1.46, 1.53 and 1.58 with a total value of 4.57, this assessment follows the criteria set by the company for all its employees.

scholarly journals Web Based Decision Support System yo Determine yhe Appropriate Packaging of Ethnic and Traditional Indonesian Foods

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Latifah Nurbaiti ◽  
Kudang Boro Seminar ◽  
Nugraha Edhi Suyatma
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Food Packaging ◽  
Active Packaging ◽  
Web Based ◽  
The Right ◽  
Oxygen Barriers ◽  
Selection Of

Culinary efforts, especially ethnic and traditional snacks attract many people to Indonesia. Maintaining the quality of snacks for consumers requires a good packaging technique. Food packaging consists of a wide variety of packaging options that match the characteristics of each snack; this is no easy task. Decision support systems can help to facilitate decisions made regarding selection of the right packaging. This paper focuses on identifying snacks, types of packaging and active packaging parameters to build a decision support system in order to determine appropriate packaging. Types of packaging are determined using fuzzy Sugeno 4 parameters: fat, water activity, shelf-life and price. Active packaging of the snacks is done using the if-else rule with parameterised types of packaging, preservatives, oxygen barriers and water vapour barriers. The end result of this research is a web-based decision support system, which recommends types of packaging and active packaging for snacks.

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