Decision Support System for Selection of Staples Food and Food Commodity Price Prediction Post-COVID-19 Using Simple Additive Weighting and Multiple Linear Regression Methods

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.

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

JURNAL SISTEM INFORMASI BISNIS ◽

10.21456/vol8iss1pp34-41 ◽

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.

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

Journal of Students‘ Research in Computer Science ◽

10.31599/jsrcs.v1i2.382 ◽

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

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

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) ◽

10.35870/jtik.v5i1.195 ◽

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.

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

10.31227/osf.io/3t9re ◽

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.

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

JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) ◽

10.24843/jlk.2020.v09.i02.p07 ◽

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

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Sistem Pendukung Keputusan Pemilihan Calon Peserta Lomba Siswa Berprestasi

Respati ◽

10.35842/jtir.v14i1.276 ◽

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.

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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

Journal Of Computer Networks, Architecture and High Performance Computing ◽

10.47709/cnapc.v2i1.350 ◽

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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Implementation Of The SAW Method For Selection Of Best Operational Vehicles

JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING ◽

10.31289/jite.v4i1.3790 ◽

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.

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DECISION SUPPORT SYSTEM FOR HELP RECIPIENTS HOPE FAMILY PROGRAM ON VILLAGE WARU WITH SAW METHOD

Jurnal Techno Nusa Mandiri ◽

10.33480/techno.v17i2.1678 ◽

2020 ◽

Vol 17 (2) ◽

pp. 151-156

Author(s):

Siti Nurlela ◽

Tuti Kurniawati ◽

Siti Masturoh ◽

Widiastuti Widiastuti ◽

Ade Suryadi

Keyword(s):

Decision Support ◽

Problem Solving ◽

Decision Support System ◽

Support System ◽

Assistance Program ◽

Family Program ◽

The Government ◽

Simple Additive Weighting ◽

Selection Of

Waru Village is one of the villages in the Bogor Regency area. However, the selection of recipients of the Hope Family Program (PKH) in Waru Village is still subjective/qualitative so that the process of receiving the Hope Family Program (PKH) in Waru Village is not accurate and has not been on target. This makes the need for a method that can manage data on recipients of the Hope Family Program (PKH) and produce a ranking from the calculation of weight for the selection of recipients of the Hope Family Program (PKH). In making decisions about recipients of the Hope Family Program (PKH), there is a Simple Additive Weighting (SAW) method that can be used in quantitative problem-solving. With the SAW method, each criterion is compared with one another to provide results of recipients of the Hope Family Program (PKH) and provide an assessment of each recipient (alternative) of the Hope Family Program (PKH) in Waru Village. This study aims to determine the recipients of the PKH assistance program so that it can produce a decision on recipients of PKH assistance that the government distributes to the Waru village accurately on target.

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