scholarly journals PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN ATLET KABUPATEN BULELENG DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

2018 ◽  
Vol 7 (2) ◽  
pp. 157
Author(s):  
Ketut Adi Ardipa Sutrisna . ◽  
I Ketut Resika Arthana, S.T.,M.Kom. . ◽  
I Made Agus Wirawan, S.Kom., M.Cs. .
Keyword(s):  
Decision Support ◽  
System Development ◽  
User Acceptance ◽  
Acceptance Testing ◽  
Test Results ◽  
System Usability Scale ◽  
System Usability ◽  
Addie Model ◽  
Simple Additive Weighting ◽  
Selection Of

Seleksi atlet merupakan tahapan yang sangat penting dalam menentukan atlet terbaik. Untuk itu penelitian ini bertujuan untuk: 1) mengembangkan sebuah sistem pendukung keputusan pemilihan atlet kabupaten buleleng dengan metode SAW (Simple Additive Weighting). 2) Mengetahui respon pengguna terhadap sistem. Pengembangan sistem ini adalah untuk membantu KONI kabupaten buleleng dalam pemilihan atlet terbaik untuk setiap cabang olah raga. Pengembangan Sistem ini menggunakan model ADDIE. Ada lima tahap dalam model ADDIE yaitu Analisis (Analyze), Desain (Design), Pengembangan (Development), Implementasi (Implementation), dan Evaluasi (Evaluation). Metode penyelesaian yang digunakan adalah metode SAW (Simple Additive Weighting) dengan konsep mencari penjumlahan ter bobot dari tiap alternatif terhadap tiap kriteria yang digunakan. Kriteria yang digunakan pada studykasus sistem adalah 17 kriteria penilaian dan 26 atlet pada cabang olahraga kempo. Pengembangan Sistem sudah dapat dikatakan berhasil berdasarkan hasil uji Whitebox dan uji Blackbox. Pengembangan sistem mendapat respons positif dari responden berdasarkan uji User Acceptance Testing (UAT), system usability scale, dan uji respon pengguna. Hasil uji UAT menyatakan bahwa sistem yang diujikan berhasil. Hasil analisis uji system usability scale dari 10 orang responden masuk dalam kriteria sangat baik(A). Hasil uji respons pengguna dari 10 orang responden yaitu masuk dalam kriteria sangat baik dimana sistem di terima dengan sangat baik oleh pengguna dalam hal ini KONI kabupaten Buleleng.Kata Kunci : ADDIE, SAW, Seleksi Atlet, Sistem Pendukung Keputusan, WEB The selection of athletes is a very important stage in determining the best athletes. Therefore, this research aims to: 1) develop a decision support system for the selection of bulletin athletes with SAW (Simple Additive Weighting) method. 2) Know the user's response to the system. The development of this system is to help KONI district buleleng in the selection of the best athletes for every sport. Development of this system using ADDIE model. There are five stages in the ADDIE model: Analyze, Design, Development, Implementation, and Evaluation. The method of settlement used is the method of SAW (Simple Additive Weighting) with the concept of searching the weighted sum of each alternative to each criterion used. The criteria used in the system study are 17 assessment criteria and 26 athletes in kempo. System development can already be said to be successful based on Whitebox test results and Blackbox test. System development got positive response from respondent based on User Acceptance Testing (UAT) test, usability scale system, and user response test. The UAT test results state that the tested system is successful. The result of system usability scale test analysis from 10 respondents included in criteria is very good (A). The results of user response test of 10 respondents is included in the criteria very well where the system is received very well by the user in this case KONI district Buleleng. keyword : ADDIE, Decision Support System , WEB, SAW, Seleksi Atlet

scholarly journals Decision Support System for Household Labor Services Selection “Best Helper” Using AHP and TOPSIS Methods

2019 ◽  
Vol 6 (1) ◽  
pp. 106-115
Author(s):  
I Kadek Aditya Pirnanda ◽  
I Made Ardwi Pradnyana ◽  
I Made Agus Wirawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Household Labor ◽  
Average Value ◽  
System Usability Scale ◽  
System Usability ◽  
Household Labour ◽  
Hierarchy Process ◽  
Selection Of

Selection of household labor services was an important aspect in families who have a lot of activity. The existence of helpful household labour services would avoid the occurrence of problems that should be caused. Types of household labour services which were often used were maids, baby sitters, elderly nurses, gardeners, and drivers. The main problem arose in the difficulty of service seekers in choosing the desired service and how to minimize the time spent. To overcome this, a decision support system was used using the Analytical Hierarchy Process (AHP) method which was used to find the criteria for each alternative weight, and ranking calculations using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. This research was implemented using PHP language with CodeIgniter framework. The result shows that the usability test obtains the average value with the system usability scale (SUS) method of 71.09%. It shows that the level of system usability is classified as good and can be accepted and used easily by the users. Meanwhile, the result of the user response test shows a percentage of 87.5%, so it can be concluded that the system belongs to good category and feasible to use.

scholarly journals Penerapan Metode Simple Additive Weighting (SAW) dalam Penentuan Santri dengan Hafalan Terbaik

2021 ◽  
Vol 11 (2) ◽  
pp. 7-18
Author(s):  
Dedy Mulyadi ◽  
Diana Nur Windasari
Keyword(s):  
System Development ◽  
Test Results ◽  
Application Development ◽  
Comparison Test ◽  
Significant Difference ◽  
Before And After ◽  
Simple Additive Weighting ◽  
Selection Of

Currently, the selection of students with the best memorization is carried out based on estimates or assumptions that students who are selected with the best memorization have met the predetermined criteria. The objectives of this research are: to get the priority of students' assessment based on the best memorization, to get an effective process in selecting students with the best memorization, to develop applications which are then measured for accuracy. The results of the level of accuracy from this research are: the level of accuracy according to users before application development is very inaccurate, the level of accuracy according to users after application development is very accurate, the level of accuracy according to experts or system experts before application development is very inaccurate accurate, the level of accuracy according to system experts after application development is very accurate. Meanwhile, the comparison test results obtained: there is a significant difference in the accuracy of the system of applying the Simple Additive Weighting (SAW) method to determine the students with the best memorization, according to users between before and after system development, and there is no difference in the accuracy of the system of applying the Simple Additive Weighting (SAW) method to determine the students with the best memorization, according to experts or system experts between before and after system development.

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.

Implementasi Metode SAW Terhadap Sistem Pendukung Keputusan Memilih Dosen Terbaik Pada Politeknik Ganesha

2020 ◽  
Vol 5 (1) ◽  
pp. 90-95
Author(s):  
Romindo Romindo
Keyword(s):  
Decision Support ◽  
Student Assessment ◽  
Assessment Process ◽  
Educational Institutions ◽  
Assessment Criterion ◽  
Long Time ◽  
Alternative Ranking ◽  
Simple Additive Weighting ◽  
Assessment Questionnaire ◽  
Selection Of

The selection of the best lecturers gives recognition to lecturers who carry out tridharma higher education activities, whose results can be proud of and are useful for advancing academic and institutional quality. Educational institutions, especially the Ganesha Medan Polytechnic, annually select the best lecturers by conducting assessments by distributing questionnaires to their students. However, the assessment process is still done manually, so it takes a long time to process the data. In addition, the assessment is still not relevant to the actual situation because it only uses one assessment criterion, namely a student assessment questionnaire. Based on this, in this study, a decision support system design was used to select the best lecturers at the Ganesha Medan Polytechnic. Decision support systems built on a web basis using the PHP programming language and MySQL database. The decision making method used is the Simple Additive Weighting (SAW) method. This method is used to perform the best alternative ranking process from a number of alternatives.

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 The Hotel Recommendation System Using SAW (Simple Additive Weighting) And TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) Method

bit-Tech ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 131-145
Author(s):  
Aditiya Hermawan ◽  
Evan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Recommendation System ◽  
Solution Method ◽  
Test Results ◽  
Economic Sectors ◽  
Web Based ◽  
Search Site ◽  
Simple Additive Weighting

Tourism is one of the important economic sectors in Indonesia that needs to be developed. This is based on data of the number of tourist visits from “Kementrian Pariwisata Republik Indonesia” website that the number of tourists in Indonesia is very much and continues to increase over time. Due to the increasing number of tourist visits from various places, makes many entrepreneurs are competing to establish a hotel as a place of business with variety of  price, class, facility and service. Then, the growth of the hotels became very rapid. With so many choices of the hotels, of course it will cause a problems for tourists to decide which hotel is suitable with the desired criteria. With the development of information technology in this era of globalization, technology should be utilized to solve this problem as a decision support system that can recommend which hotel is the most suitable from the tourist desires. The hotel data to be used in this research comes from hotel search site. The methods used for this decision support system are SAW and TOPSIS methods. The reason for using this methods is because SAW has the ability to assess more accurately because it is based on criteria and the computation of TOPSIS method is efficient and fast. The criteria used on choosing the hotel are price, facilities and class. The results of this research has been generated as a web-based application for hotel recommendation. Based on the test results of this hotel recommendation system application, this application works as expected.

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 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 Sistem Pendukung Keputusan Penerimaan Karyawan Menggunakan Metode SAW (Studi Kasus di PT. Nusantara Sakti Ciptadana Finance Kota Bengkulu)

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Yupianti Yupianti ◽  
Sinta Puspita Sari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Development ◽  
Visual Basic ◽  
Literature Study ◽  
Simple Additive Weighting ◽  
Written Test ◽  
Visual Basic 6.0 ◽  
Final Calculation

The method used in this research was system development method. To collect data, interview and literature study was conducted. The software used to build the system was Visual Basic 6.0 and the results obtained were able to provide quick and accurate output. The results of this research was Decision Support System for Employees Recruitment. The system consist of five criteria, namely input for applicants, input for data criteria of administrative completeness, input for criteria of computer practice examination, input for written test criteria, input for weighting criteria, and data input for determining Final Calculation Value of Simple Additive Weight. There were also two reports, namely individual reports and rank reports. From the results of research, it can be concluded that the Decision Support System for Employees Recruitment at PT. Nusantara Sakti Ciptadana (NSC) Finance Kota Bengkulu Using SAW Method, were more efficient, complete and accurate.Keyword : Decision Support System, Simple Additive Weighting, SAW

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