scholarly journals Sistem Pendukung Keputusan Pemilihan Kain Terbaik Di Toko Crown Textile & Tailor Dengan Metode Simple Additive Weighting (SAW)

2021 ◽  
Vol 4 (6) ◽  
pp. 397-404
Author(s):  
Sungguh Zebua ◽  
R. Mahdalena Simanjorang
Keyword(s):  
Decision Support ◽  
Cotton Fabric ◽  
Support System ◽  
Viscose Rayon ◽  
System Method ◽  
Retail Business ◽  
Weight Value ◽  
Rank 2 ◽  
Simple Additive Weighting ◽  
Selection Of

The retail business continues to grow rapidly along with the development of science and technology in the era of globalization, but the purchase of fabric is still done manually and not computerized, such as in choosing fabrics, only looking at the shape of the color and the price tag, if it is suitable and likes it is taken immediately without thinking what type of fabric to use. used for these clothes, when they have been made into clothes or clothes, do not match the criteria desired by consumers and many ready-made clothes are returned because the color becomes dull or faded, and does not match the desired motif. The problem in this study is to determine the selection of the best fabric using SPK with the Simple Additive Weighting (SAW) method in selecting the best fabric at Crown Textile Tailor built using PHP MyAdamin programming. The decision support system method used is Simple Additive Weighting (SAW), because it can determine the weight value for each attribute, through a ranking process selecting the best alternative from a number of alternative data, the results obtained are Viscose Rayon Fabrics worth 0.933, (Rank 1), Brukat Lace Fabrics are worth 0 .9 (Rank 2), Toyobo Cotton Fabric is worth 0.716 (Rank 3), Japanese Cotton Fabric is worth 0.700 (Rank 4).

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 Decision Support System for Selecting Doorprize Receipt Customers By Applying Promethee I Algorithm

2020 ◽  
Vol 4 (1) ◽  
pp. 254-259
Author(s):  
Iin - Parlina ◽  
Andi Priatno
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Islamic Bank ◽  
System Method ◽  
The Right ◽  
Selection Of

Door prize is a prize given by Bank Mega Syariah for free through a lottery that has the category of a permanent customer. The permanent customer is a person who saves or saves his money in a mega Islamic bank and often deals regularly. This is what triggers Bank Mega Syariah to give awards to customers so that these customers will be more motivated to save at the Mega Syariah Bank. To determine the right decision in the selection of customers who deserve to get a door prize, then this research was conducted by applying the decision support system method with Promethee's Algorithm.Keywords: Decision Support System, Promethee I, and Doorprize.

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 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 Decision Support System in Selecting the Appropriate Laptop using Simple Additive Weighting

2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Computer Science ◽  
Support System ◽  
Simple Additive Weighting ◽  
Selection Of

At this time many brands of laptops on the market. They have each specification. Each brand provides different facilities and features. It gives confusion to people who will buy the laptops. It is a difficult choice to make choices according to the wishes and budget. The development of technology can assist people in resolving the problem decision. For example, the use of computer science in providing the best decisions on the issue of election of the laptop. A decision support system for the selection of the laptop will be designed so that the user can determine the choice of laptops accordance with the wishes and abilities. The method used is Simple Additive Weighting. This method was chosen because it can display the best alternative from a number of options. Several criteria will be included for processing. With this method, laptop users can make their choice based on the value of the largest to the smallest value.

Recommendation Decision Support System Smartphone Selection By Method Web-Based Simple Additive Weighting (SAW)

2020 ◽  
Vol 9 (2) ◽  
pp. 213
Author(s):  
I Nengah Aryadi Suputra ◽  
I Gusti Agung Gede Arya Kadyanan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Communication Technology ◽  
Support System ◽  
Web Based ◽  
Simple Process ◽  
A Value ◽  
Wide Range ◽  
Simple Additive Weighting ◽  
Selection Of

Smartphones are already a must-have communication technology to make it easier to live your daily life. However, with so many choices can make consumers confused in determining the appropriate choice. The Simple Additive Weighting (SAW) method can help in the simple process that can be applied to decision-making cases such as in smartphone selection recommendations with a wide range of attributes. In the case of this study, the results were obtained that the Realme X3 Superzoom smartphone scored the highest preference with a value of 22. With this research, it is hoped that this decision support system can help potential consumers to more easily consider in the selection of smartphones that suit their wishes or needs

scholarly journals Sistem Pendukung Keputusan Pemilihan Calon Peserta Lomba Siswa Berprestasi

Respati ◽  
2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Veny Cahya Hardita ◽  
I Wayan Pandu Swardiana ◽  
Kusrini Kusrini
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Assessment Process ◽  
Final Decision ◽  
Addition Method ◽  
Decision Matrix ◽  
Simple Additive Weighting ◽  
Selection Of

INTISARIKompetisi siswa berprestasi merupakan ajang setiap tahun untuk para siswa menengah kejuruan dalam unjuk kemampuan mereka dalam bidangnya. Banyaknya siswa dari berbagai jurusan yang mengikuti seleksi lomba kompetensi, sehingga dalam proses seleksi pelaksanaan menjadi kurang optimal dalam segi proses penilaian dan penentuan keputusan akhir. Sehingga diputuskan untuk menggunakan sistem pendukung keputusan pemilihan calon peserta lomba siswa berprestasi yang dapat digunakan untuk membantu sekolah dalam menentukan siswa mana yang layak untuk mengikuti kompetisi tersebut. Metode yang digunakan yaitu Simple Additive Weighting. Metode ini merupakan metode penjumlahan berbobot. Metode ini membutuhkan proses normalisasi matriks keputusan (x) ke suatu skala yang dapat dibandingkan dengan semua rating alternatif yang ada. Hasil penelitian yaitu berupa perangkingan siswa mana yang cocok sebagai calon peserta lomba. Dalam penelitian ini, siswa yang terpilih yaitu Siswa ketiga dengan nilai akhir perhitungan yaitu 13,5. Sistem yang dibangun pada penelitian ni telah sesuai dengan perhitungan manual sehingga sistem ini dikatakan telah berhasil diterapkan.Kata kunci— kompetisi siswa, Simple Additive Weighting, Sistem Pendukung Keputusan. ABSTRACTOutstanding student competition is an event every year for middle students in demonstrating their abilities in their fields. The number of students from various departments participated in the competency selection process, so that in the implementation selection process it was less than optimal in terms of the assessment process and final decision making. So it was decided to use a decision support system for the selection of outstanding student candidates who could be used to assist schools in determining which students were eligible for the competition. The method used is Simple Additive Weighting. This method is a weighted addition method. This method requires the process of normalizing the decision matrix (x) to a scale that can be compared with all available alternative ratings. The results of the study are in the form of ranking which students are suitable as potential participants. In this study, the selected students were the third student with the final value of the calculation, 13.5. The system built on this research is in accordance with manual calculations so that the system is said to have been successfully implemented.Keywords— student contestants, Simple Additive Weighting, Decision Support System.

scholarly journals Decision Support System Selection of Best Employee At PT. Intiberkah Sinar Sejahtera Using Simple Additive weighting MethodDecision Support System Selection of Best Employee At PT. Intiberkah Sinar Sejahtera Using Simple Additive weighting Method

2020 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Feri Sahputra ◽  
Fricles Ariwisanto Sianturi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Simple Additive Weighting ◽  
Ethical Criteria ◽  
System Selection ◽  
Selection Of

The problem of PT. Sinar Sejahtera Intiberkah are still many employees of PT. Intiberkah Sinar Sejahtera especially the logistics employees who are critical to the company that should be worthy to obtain as the best employees but until now there has been no employees at the logistics become the best employee in the company of PT. Sinar Sejahtera Intiberkah tersebut.Oleh Therefore, in this study used a decision support system that can be used to help the PT. Intiberkah Sinar Sejahtera in determining the eligible employees in the selection of the best employees, there are four criteria taken in these elections is the first no ethical criteria, these criteria related to attitudes and ways of speaking with courtesy to superiors.

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