scholarly journals Multi-Criteria Assessment of Ergonomic Conditions of Work. Case Study

2021 ◽  
Vol 4 (1) ◽  
pp. 14-22
Author(s):  
Zygmunt Korban
Keyword(s):  
Working Conditions ◽  
Weight Vector ◽  
Assessment Criteria ◽  
Decision Matrix ◽  
Weighting Method ◽  
Work Tasks ◽  
Underground Mine Workings ◽  
Potential Applicability ◽  
Simple Additive Weighting ◽  
Complex Phenomena

Abstract The supervision of OHS conditions (working conditions and the realization of work tasks) is one of the basic obligations of the employer. The number and variety of describing elements (and thus being subject to assessment) means that synthetic measures (measures that are one-dimensional images of complex phenomena) are more and more frequently applied to solve problems of that type. Although the methods of multivariate statistics used for this purpose differ in the way they treat assessment criteria (defining mutual dependency thresholds, unifying the field of compared criteria), the final effect of their application always offers the option to replace the entire set of features describing a given object with one variable (aggregate). The article presents a potential applicability of one of the so-called discrete multi-criteria decision-making methods (Simple Additive Weighting), which allows to determine a linear combination of normalized elements of the decision matrix and the elements of weight vector. As part of the article, the working conditions at 5 workstations were assessed (a miner’s workstation in 5 underground mine workings being excavated), taking into account 8 assessment criteria (6 were cost criteria and 2 – criteria of qualitative character). In effect of the application of the Simple Additive Weighting method, we could determine the ranking vector R, which allowed to order the examined objects and to carry out a comprehensive assessment of OSH conditions occurring in them.

scholarly journals Culinary Places Recommendation System in Bekasi City Using the Simple Additive Weighting Method

2021 ◽  
Vol 9 (1) ◽  
pp. 63-74
Author(s):  
Fata Nidaul Khasanah ◽  
Herlawati Herlawati
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Recommendation System ◽  
Central Bureau ◽  
Assessment Criteria ◽  
Weighting Method ◽  
Economic Growth Rate ◽  
Business Opportunities ◽  
Simple Additive Weighting

Bekasi city, based on data from the Central Bureau of Statistics (BPS) in 2018, shows the average Economic Growth Rate (LPE) of 5.82% from 2013 to 2016. Based on this growth, Bekasi city has business opportunities, for example culinary business, that has already spread around Bekasi city. The number of culinary places can cause problems when visitors determine culinary places that fit their criteria. Many visitors usually rely on information from relatives in determine culinary places, so this allows a mismatch between the recommendations of relatives and the criteria they want. Based on the problem, one of the proposed solutions needs to be made a method to support decisions that can provide recommendations in determining culinary places for visitors. The method used in determining the recommendation of culinary places is Simple Additive Weighting (SAW). In the process of calculating the method there are alternatives and assessment criteria used, there are several assessment criteria, namely price, number of menus, rating, and distance. The result shows the recommended alternative culinary place is the eighth alternative (A8) since the alternative has the highest preference value of 0.85. Therefore, the proposed system can be integrated in the culinary website to support user in choosing the culinary place.

scholarly journals Decision Support System for Selection of Assembly Using Profile Matching Method and Simple Additive Weighting Method (Case Study: GKIN Diaspora Church)

bit-Tech ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 43-52
Author(s):  
Amesanggeng Pataropura ◽  
Riki Riki ◽  
Joshua Geraldo Manu
Keyword(s):  
Decision Support ◽  
Selection Process ◽  
Matching Method ◽  
Decision Matrix ◽  
Weighting Method ◽  
Profile Matching ◽  
Operational Activities ◽  
Simple Additive Weighting ◽  
The Church

The church is a place of worship for Christians who are worshipers, in the church there are many organizers called the assemblies whose task is to regulate and manage all kinds of operational activities related to the worship held on Sundays, the duties and authorities of an assembly are in each position he has. To be a church administrator or assembly can be chosen by the congregation by conducting a selection process from the assemblies in the church and to be appointed by the pastor. The process of selecting the assembly can be an error to choose the assembly that can be subjective. Then a system for decision-making decision support is made using the Profile Matching Method and Simple Additive Weighting (SAW) Method. Where Profile matching is a decision support method using calculation of weight and weighting by dividing the main factors and supporting factors. And using the Simple Additive Weighting (SAW) method is a weighted housing method, by normalizing the decision decision matrix (x) to a scale that can be compared with all available alternative ratings

Sistem Pendukung Keputusan Penentuan Desa Terbaik Dalam Pengelolaan Dana Desa Pada Kecamatan Merdeka Kabupaten Karo Menggunakan Simple Additive Weighting (SAW)

2020 ◽  
Vol 3 (2) ◽  
pp. 88-96
Author(s):  
Hori Niyoga Gurusinga ◽  
R Mahdalena Simanjorang
Keyword(s):  
Support System ◽  
Fund Management ◽  
Decision Matrix ◽  
Weighting Method ◽  
User Support ◽  
Calculation Results ◽  
Assessment Decisions ◽  
Simple Additive Weighting

In making a decision, a system that can recommend the best village is based on criteria determined by the user. Support System for Deciding the Best Village Determination in Village Fund Management in Merdeka District, Karo District using the SAW (Simple Additive Weighting) Method. The SAW method can help in making a case decision, but calculations using the SAW method only produce the greatest value that will be selected as the best alternative. Results C01, C02, C03, C04, C05, C06, C07, form the decision matrix. Normalization calculation results to get a normalized value matrix (R). Analysis Results, displays alternative data values and criteria data values. Obtained total assessment, followed by ranking. For the report, the highest total score is the result of the Best Village Assessment in managing village funds. Assessment decisions are displayed in the Report Menu.

scholarly journals SISTEM PENUNJANG KEPUTUSAN PEMILIHAN PENGURUS INTI DAN ANGGOTA BARU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) BERBASIS WEBSITE (STUDI KASUS: HIMPUNAN MAHASISWA TEKNIK INFORMATIKA UNIVERSITAS PALANGKA RAYA)

2019 ◽  
Vol 13 (1) ◽  
pp. 58-67
Author(s):  
Licantik Licantik ◽  
Widiatry Widiatry ◽  
Pebriana Lorenza
Keyword(s):  
Engineering Students ◽  
Test Results ◽  
Decision Matrix ◽  
Weighting Method ◽  
New Members ◽  
Suitability Assessment ◽  
The Matrix ◽  
Simple Additive Weighting ◽  
The Right ◽  
Selection Of

Informatics Engineering of Palangka Raya University have an organization that called Himpunan Mahasiswa Teknik Informatika (HMTI). Problems that are often encountered in a set one of them is in taking the best choice for candidates for core management and membership in each new management period. Another obstacle faced is in making decisions not using methods that can handle these problems with many criteria. The number of considerations certainly has the hope of obtaining good human resources for the set, it's just that sometimes it becomes a difficulty for the old management to take the best choice for the right successor candidate and in accordance with the position and division in the set so that a container is needed to bridge these activities so that they can run well and effectively. The methodology used in the development is by simple additive weighting method and Waterfall According to Sommerville. simple additive weighting method has 4 steps that is determine the criteria, determine the suitability assessment, make a decision matrix based on criteria (Ci) then normalize the matrix, then summarize the multiplication of the R atomized matrix with the increase vector, get the large value chosen as the best (Ai) as a solution.From the test results it can be concluded that the decision support system website for the selection of core managers and new members using the simple additive weighting method at the Collection Informatics Engineering Students of Palangka Raya University is going well

scholarly journals Determination of receipt of UPZ assistance using the SAW method

2018 ◽  
Vol 1 (1) ◽  
pp. 13 ◽  
Author(s):  
Ahmad Wildan Listyanto ◽  
Kusrini Kusrini ◽  
Sudarmawan Sudarmawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Capital City ◽  
Decision Matrix ◽  
Weighting Method ◽  
Calculation Results ◽  
Simple Additive Weighting ◽  
The Impact

Zakat has a very strategic position in giving the impact of welfare and improving the community's economy if the collection and distribution are managed in trustworthy, transparent and professional. An institution on zakat management is National Zakat Agency (BAZNAS), which an institution manages the zakat management nationally, and non-structural government institution that is independent and responsible to President through the Minister of Religion. BAZNAS is located in capital city and assisted by zakat collection unit (UPZ). Along this time, they conduct manually in determining the person who will receive the assistance, but it often occur errors in its implementation. Therefore, a decision support system is needed to assist UPZ in determining the person who will receive the assistance. The decision support system was designed using SAW (Simple Additive Weighting) method, then the administrators obtain an alternative data in the form of lists of students who receive the UPZ assistance. The SAW algorithm is an algorithms for decision making. The SAW algorithm is also known as an algorithm with additive weighting method. The method requires normalization process of decision matrix (x) into a scale and can be compared to the entire available alternative ratings. The study showed that SAW can be applied to determine the acceptance of UPZ assistance by the calculation results of 16. The result of calculation and recommendation of decision support system for person who receive the UPZ acceptance, have the same data on output, namely Astin Dwi Wulan.

scholarly journals Sistem Pendukung Keputusan Penerima Beasiswa PPA Dan BBM Menggunakan Metode Simple Additive Weighting (SAW)

2017 ◽  
Vol 2 (1) ◽  
pp. 75 ◽  
Author(s):  
M. Safii
Keyword(s):  
Weighted Sum ◽  
Decision Matrix ◽  
Weighting Method ◽  
Scholarship Recipients ◽  
Directorate General ◽  
The Government ◽  
Simple Additive Weighting ◽  
Comprehensive Framework ◽  
Hierarchy Process ◽  
Normalization Process

Improving Academic Achievement Scholarship (PPA) and Student Learning Aid (BBM) is one of the stimulus given to the government for students with the aim of motivating students to enhance the spirit of learning. In accordance with the program guidelines issued by the Directorate General of Higher Education must follow the principle of 3T is Right Target, Right Number and Timely. Computer Informatic Management Academy (AMIK) Tunas Bangsa Pematangsiantar is one of the private universities obtained on the scholarship quota. In accordance with the number of students currently as many as 1,400 people then the allocation of the scholarship must be selected carefully to fit the government guidelines. In this case we need a method that can support decision boosters system (DSS) in determining the grantee is using simple additive weighting method (SAW). With the basic concepts seek a weighted sum of the rating performance of each alternative on all attributes that require a decision matrix normalization process. This method can make an assessment criteria and detailed compound with a comprehensive framework considerations hierarchy process which then calculate the weights to each criterion in determining the priority recommendations of PPA and BBM scholarship recipients in accordance with the target.

scholarly journals Implementation of Simple Additive Weighting in Providing Micro Business Loans at Bank Mandiri Pematangsiantar

2021 ◽  
Vol 3 (1) ◽  
pp. 105-114
Author(s):  
Sahat Sonang Sitanggang ◽  
Erwin Sirait
Keyword(s):  
Decision Making ◽  
Test Results ◽  
Decision Matrix ◽  
Weighting Method ◽  
Business World ◽  
Advantages And Disadvantages ◽  
A Value ◽  
Simple Additive Weighting ◽  
Loan Limit ◽  
To Receive

Banks are institutions and institutions that are organizations and institutions in Indonesia and have an important role in the sustainability of the Indonesian economy. Bank Mandiri is one of the banks that provides micro business credit facilities to the business world. The higher the public's interest in getting micro business credit, the banks need software to help determine who is entitled to credit. In order to produce a proper feasibility analysis, a method of decision-making in overcoming these problems is needed so that determining who is entitled to receive credit is not too long and efficient in reducing credit risk. Problems arise in the decision-making process for granting micro-business loans, namely the inaccuracy of micro-business credit recipients. The above problems can be resolved by building a Decision Support System which can assist decision makers in assessing and selecting micro business loans using variables: Income, Collateral, Loan Limit, Installments, Length of Business, Number of Dependents. The system built by applying the Simple Additive Weighting method is known as the method of adding weight. The Simple Additive Weighting method requires a decision matrix normalization process  to a scale that can be compared with all available alternative ratings. This will be a reference in ranking and consider the advantages and disadvantages of applying for a credit loan in order to find the desired candidate. From the test results using 10 data samples, it was obtained that the first rank was received credit on behalf of A5 with a value of 9.33, and the last rank was on behalf of A6 with a value of 6.4. and very helpful in solving problems faced by Bank Mandiri Pematangsiantar.

scholarly journals Metode Simple Additive Weighting Untuk Mendukung Pemilihan Laptop

2019 ◽  
Vol 7 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Fata Nidaul Khasanah
Keyword(s):  
Decision Support ◽  
Support System ◽  
Assessment Criteria ◽  
Decision Matrix ◽  
Decisive Importance ◽  
Different Types ◽  
Last Stage ◽  
Simple Additive Weighting ◽  
System Selection ◽  
Decision Support Method

Abstract   A lot of number of brands and types of laptops in the market with different types of specifications and price could make the consumer difficult in choosing an appropriate laptop according his/her needs. Therefore, a research was employed in determining the type of laptop with decision support method using Simple Additive Weighting. In the process, the calculations done in advance by the election of alternative types of laptops and the criteria used. Assessment criteria comprised of price, hard drive, RAM, processor and VGA  after determining the criteria, followed by the decisive importance of the assessment criteria and determine the suitability of an alternative rating against each of the criteria. From rating a match then the decision matrix is obtained, followed by determining the normalized matrix. The last stage, namely determining the rank of each alternative. From the results of the calculation method of Simple Additive Weighting retrieved results alternative laptop was chosen based on these criteria above.   Keywords: Decision Support System, Selection Laptop, Simple Additive Weighting   Abstrak   Banyaknya merk dan tipe laptop yang dijual di pasaran dengan berbagai jenis spesifikasi dan variasi harga dapat membingungkan konsumen dalam memilih laptop yang sesuai dengan kebutuhannya. Berdasarkan permasalahan yang ada maka penelitian ini mencoba membangun sistem pemilihan laptop dengan menggunakan metode pendukung keputusan Simple Additive Weighting. Dalam proses perhitungannya terlebih dahulu dilakukan pemilihan alternatif jenis laptop dan kriteria penilaian yang digunakan. Kriteria penilaian terdiri dari harga, hardisk, RAM, prosesor dan VGA. Setelah menentukan kriteria dilanjutkan dengan menentukan penilaian tingkat kepentingan kriteria dan menentukan rating kecocokan alternatif terhadap setiap kriteria. Dari rating kecocokan maka diperoleh matriks keputusan, dilanjutkan dengan menentukan matriks ternormalisasi. Tahap terakhir yaitu menentukan perangkingan setiap alternatif. Dari hasil perhitungan metode Simple Additive Weighting diperoleh hasil alternatif laptop yang sesuai kriteria   Kata kunci: Pemilihan Laptop, Simple Additive Weighting, Sistem Pendukung Keputusan

scholarly journals SISTEM PENENTUAN PEMBERIAN PINJAMAN DANA PADA KOPERASI SIMPAN PINJAM MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

2021 ◽  
Vol 6 (2) ◽  
pp. 1-5
Author(s):  
Gortab Lumbantoruan ◽  
◽  
Mufria J Purba ◽  
Keyword(s):  
Assessment Criteria ◽  
Cooperative Management ◽  
Weighting Method ◽  
Savings And Loan ◽  
Simple Additive Weighting ◽  
Status Analysis ◽  
Eligibility Assessment ◽  
To Receive ◽  
Credit Analysis

In providing loans, cooperatives have stages that must be passed before credit is decided to be disbursed. The aim is to facilitate cooperatives in assessing the feasibility of a credit application. The loan eligibility assessment is carried out with many assessment criteria including employment, income, capital/shares, number of dependents, and house status. Analysis of loan eligibility requires the accuracy of a credit analyst in analyzing credit applicants submitted by members. If the credit analysis is not precise, then the provision of credit funds can be difficult and even make a loss. So to determine whether a loan application can be accepted or not, of course, cooperative management has many multi-criteria considerations. In this study, an analysis was carried out using the Simple Additive Weighting method to facilitate the process of making feasibility decisions and eliminating lending to prospective debtors. The results of the study show that the results of the calculation of the determination of lending funds to members of savings and loan cooperatives using the simple additive weighting method can show alternatives that are eligible to receive loans with a preference value >= 60% and also alternatives that are not eligible to receive loans, namely with a preference value of <= 60%.

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