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

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.

scholarly journals Decision Support System for Electrical Power Selection to Household Users

2017 ◽  
Author(s):  
Robbi Rahim ◽  
Heri Nurdiyanto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Electrical Power ◽  
Electrical Energy ◽  
Weighting Method ◽  
The Government ◽  
Simple Additive Weighting ◽  
Home Users ◽  
Selection Of

The need of home electricity every year is increasing rapidly with the increasing number of housing built either for middle to upper class or also middle to lower, for middle class down electricity usage is inversely with income per month so happened name of arrears electricity or even the theft of electric current to cover the requirement of electricity Households, and this is definitely illegal, household electrical power ranging from 450 - 1300 VA can use for home use with subsidies given by the government in 900 VA, the selection of power usage for home users can help by applying decision support system using Simple Additive Weighting method to determine the electrical energy of home users based on user criteria so those home users can ascertain the amount of power that used

scholarly journals Implementasi Metode Simple Additive Weighting Dalam Sistem Pendukung Keputusan Penerima Bantuan Program Sembako

2021 ◽  
Vol 1 (1) ◽  
pp. 87-96
Author(s):  
Mulia Safitri ◽  
Abertun Sagit Sahay ◽  
Ariesta Lestari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Matrix Multiplication ◽  
Assessment Process ◽  
Decision Matrix ◽  
The Government ◽  
Simple Additive Weighting ◽  
Selection Of

Pahandut Seberang Village has an average middle to the lower level of economy in the community, so most of the people still need assistance from the government. In Pahandut Seberang Village, the selection of recipients of the Smbako program assistance is still the old way by using from paper. The assessment process is still not transparent in nature and the selection process is very slow and receipt of Sembako programs assistance are not being on target. Therefore, to overcome this problem, a Decision Support System (SPK) is created to help the Pahandut Seberang Village in selecting the recipients prospective of Sembako program assistance In designing and building the system are using 2 development methods, namely the Waterfall method as a software development method and the Simple Additive Weighting (SAW) method as a decision support system method in its calculations. Where the saw method has 4 stages, namely determining the criteria, determining the suitability, making a decision matrix based on the criteria and normalizing the. The final result is obtained from the ranking, namely the sum of the normalized matrix multiplication R with the weight vector so that the largest value sas a solution. This system testing uses a Black-box testing system. The test results show that the system created has been running according to the expectations of the researcher. This research produces a decision support system for selection of the recipients prospective that can provide recommendations for the recipients prospective the Pahandut Seberang village.

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 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 Penerapan Algoritma Simple Additive Weighting untuk Membantu Dalam Menentukan Calon Penerima Bantuan Pangan Non Tunai

2020 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Andri Andreas ◽  
Antonius Wiryadinata ◽  
Halim Agung
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Technical Problems ◽  
The Government ◽  
Food Needs ◽  
Simple Additive Weighting ◽  
To Receive

Bantuan Pangan Non Tunai (BPNT) is a program organized by the government in overcoming poverty and food needs. The BPNT program aims to reduce the burden of expenditure and provide more balanced nutrition to Beneficiary Families (KPM). However, in the implementation of the BPNT program there were still technical problems, including the determination of potential BPNT recipients who were wrongly targeted. To facilitate Government in determining prospective BPNT recipients, the authors make a decision support system using the Simple Additive Weighting method where this system generates ranking to choose citizens who are entitled to receive BPNT through calculating the criteria of each alternative. It is expected that this application can provide recommendations for prospective BPNT recipients who are more targeted.

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.

APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN SOSIAL TUNAI (BST) DENGAN METODE FUZZY TSUKAMOTO

2020 ◽  
Vol 1 (2) ◽  
pp. 42-55
Author(s):  
Cut Lutfianda
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Social Assistance ◽  
Assistance Program ◽  
The Republic ◽  
The Government ◽  
The Right ◽  
Social Affairs

The government has issued policies and programs to anticipate the handling of this pandemic, one of which is the Social Assistance Program provided through the leading sector of the Ministry of Social Affairs of the Republic of Indonesia in the form of social assistance programs provided to the poor and communities that have a socio-economic impact from the corona pandemic. One of the programs launched by the government through the Ministry of Social Affairs is the Cash Social Assistance Program or Cash Social Assistance. The research objective was to develop a decision support system application for cash social assistance recipients (BST) with the Tsukamoto fuzzy method which can be used as a tool to quickly determine BST recipients. The several stages of work consist of; data collection, analysis, design and application design, implementation, and testing and evaluation. Based on the results of research and testing of the decision support system to determine BST recipients using the Fuzzy Tsukamoto method that has been carried out by researchers, several conclusions can be drawn, namely: 1) Expert system application for finding BST recipients is an application based on rules for solving problems to determine BST recipients with a high degree of accuracy and is used as a reference for BST recipients for the government to determine the right target recipients to be selected, and 2) The results of the analysis generated from this system are the same as the results of calculations manually using the theory of the Fuzzy Tsukamoto method so that the accuracy of the results is appropriate with calculations obtained from the trial.

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

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