scholarly journals Comparative Study of SMART and FMCDM Methods in Smartphone Selection Decision Support System

2021 ◽  
Vol 13 (4) ◽  
pp. 1-13
Author(s):  
Novhirtamely Kahar ◽  
◽  
Riki
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Comparative Study ◽  
Support System ◽  
Selection Decision

scholarly journals Best Customer Selection Decision Support System With Elimination And Choise Translation Reality (Electre) Method

2020 ◽  
Vol 2 (1) ◽  
pp. 158-166
Author(s):  
Martinus Giawa ◽  
Paska Marto Hasugian
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Pairwise Comparison ◽  
Electre Method ◽  
Selection Decision

Currently, many companies still use manual in doing any one of them is an office job CV. Independent cooperative. Based on the results of research on the CV. Koperasi Mandiri to determine the best customer still does not have a conventional and special methods and are less effective. Based on the results of this research make customer Election Decision Support System Best with ELECTRE method. Where the method ELECTRE perform testing based on criteria sort by value and ranking obtained using pairwise comparison of alternatives based on any appropriate criteria.

scholarly journals Sistem Pendukung Keputusan Pemilihan Perumahan Dengan Menggunakan Metode Multi Attribute Utility Theory

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Muhammad L O Mardin ◽  
Achamad Fuad ◽  
Hairil K Sirajuddin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Utility Theory ◽  
Selection Process ◽  
Housing Prices ◽  
Multi Attribute Utility Theory ◽  
Selection Decision ◽  
The City ◽  
Selection Of

Abstrak: Banyaknya pilihan rumah seringkali membuat calon pembeli merasa ragu atau kesulitan saat harus menentukan langsung rumah yang mana yang akan dibeli, karena pada pemilihan perumahan yang akan dibeli belum ada sistem yang akan membantu dalam memilih perumahan yang dibeli, sehingga pada proses pemilihan masih menggunakan pikiran saja dan belum ada perhitungan pada saat pemilihan perumahan yang akan di beli. Tujuan penelitian ini menghasilkan sebuah sistem pendukung keputusan pemilihan perumahan. Kriteria yang diajukan dalam proses pemilihan perumahan yaitu: Harga perumahan, Jarak dari pusat kota, Jarak dengan pasar terdekat, [1], tipe perumahan, jarak dengan jalan umum, jarak dengan lahar. Dari hasil pemilihan perumahan menggunakan sistem yang telah dibuat. dengan 10 alternatif, dengan tingkat kepentingan masing-masing kriteria yang digunakan yaitu: harga = 5, tipe rumah = 5, jarak dengan pusat kota = 2, jarak dengan pasar terdekat = 2, jarak dengan jalan umum = 4, jarak perumahan dengan lahar = 5, telah diperoleh alternatif yang akan direkomendasikan yaitu perumahan safira residen 70 dengan dengan nilai tertinggi 0,65.Kata kunci: Sistem Pendukung Keputusan, Pemilihan, Perumahan, Multi Attribute Utility TheoryAbstract: A large number of choices of houses often makes prospective buyers feel doubtful or difficult when they have to determine directly which house to buy because, in the selection of housing to be purchased, no system will assist in choosing the housing to be purchased so that in the selection process, you still use your mind. There is no calculation at the time of the selection of housing to be purchased. The purpose of this research is to produce a housing selection decision support system. The criteria proposed in the housing selection process are housing prices, distance from the city, distance to the nearest market, [1], type of housing, distance to public roads, distance to lava. From the results of the election using the system that has been created. With ten alternatives, with their respective interests. The criteria used are: price =5, type of house = 5, distance to city center = 2, distance to the nearest market = 2, distance to public roads = 4 distance from housing to lava = 5, has obtained an alternative that will be recommended, namely the residential sapphire housing 70 with the highest value of 0.65Keywords: Housing, Selection, Decision Support System, Multi-Attribute Utility Theory.

scholarly journals Comparative Study of Type-1 and Type-2 Fuzzy System in Decision Support System

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
Humaira Humaira ◽  
Yance Sonatha ◽  
Cipto Prabowo ◽  
Hidra Amnur ◽  
Rita Afyenni
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Comparative Study ◽  
Support System ◽  
Fuzzy System

scholarly journals THE IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE SELECTION OF REHABILITATION FUND RECIPIENTS FOR UNINHABITABLE HOME

2019 ◽  
Vol 10 (1) ◽  
pp. 309-318
Author(s):  
Dwi Krisbiantoro ◽  
Wiga Maulana Baihaqi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Rehabilitation Program ◽  
Weighting Method ◽  
The Family ◽  
Selection Decision ◽  
Simple Additive Weighting ◽  
To Receive

The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.

A deterministic contractor selection decision support system for competitive bidding

2017 ◽  
Vol 24 (1) ◽  
pp. 61-77 ◽  
Author(s):  
Nabil Semaan ◽  
Michael Salem
Keyword(s):  
Decision Support ◽  
Project Management ◽  
Decision Support System ◽  
Support System ◽  
Project Managers ◽  
Cost Overruns ◽  
Contractor Selection ◽  
Content Type ◽  
Selection Decision

Purpose The construction industry today is one of the biggest industries in the world. As projects continue to grow in complexity, project management continues to evolve. Contractor selection is a difficult task that owners and project managers face. Although previously researchers have worked on the subject of contractor selection, a comprehensive decision support system for contractor selection has not yet been developed. Recent reports of major delays and cost overruns in mega projects highlight the need for a model that is able to be flexible and comprehensive becomes evident. The paper aims to discuss these issues. Design/methodology/approach The research focuses on obtaining insights from field experts using both quantitative and qualitative methods. Then, a model was developed in the light of the data collected. Accordingly, the model was tested on a case study. Findings This paper presents a model for contractor selection that is wholesome in its take on the topic. The model incorporates both managerial and technical aspects of the problem. The model was tested on a case study and it was proven to be feasible in real world applications. The contractor selection decision support system serves the needs of both academics and industry managers, as an integral part of project management. Originality/value The model presented in this paper is innovative in its take on the problems. MCDA tools have been uniquely modified in this paper to cater to the needs of the selection problem while accounting for the criteria hierarchy that incorporates aspects that are instrumental for proper evaluation of a contractor’s likelihood of success.

scholarly journals ANALISIS DAN PERANCANGAN SISTEM INFORMASI PENENTUAN SHUTDOWN POINT PADA PT. LARIS SUMUT MAKMUR MEDAN

2020 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Erikson Damanik
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
A Value ◽  
Best Value ◽  
New Students ◽  
Selection Decision ◽  
Passing Scores ◽  
New Student

This research was conducted aiming to design a New Student Selection Decision Support System. To help the selection process for new student admissions at the Indonesian Business Polytechnic, a decision support system (SPK) was designed to help the data processing of prospective new students who register using the Weighteded Product (WP) method. This Weighteded Product method is done by using multiplication to link the attribute rating, where the rating of each attribute must be raised first with the Weighted of the attribute in question. The criteria used in this Decision Support System consist of: capacity, achievement, academic tests, age, and passing scores. From the sample of data examined, the ranking results were found to be the best value of prospective students with a value of 0.0841 and 0.0791.

scholarly journals Sistem Pendukung Keputusan Pemilihan Atlet Panahan Menggunakan Metode Analitycal Hierarchy Process Berbasis Web

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Eka Bayu Bimantara ◽  
Arief Budiman ◽  
Pradityo Utomo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Black Box ◽  
Test Results ◽  
Priority Vector ◽  
Selection Decision ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

Decision Support System is a system was used to help getting making decisions on a problem, such as  selecting students in  the archery sports that will be face to a championship event such as SEA GAMES (South East Games). In Decision Support System there are many methods that can be used, one of them is Analitycal Hierarchy Process method. Analitycal Hierarchy Process method is one of the more efficient decision-making methods because the data is very detailed, all the criteria and alternatives will be compared one by one. The calculation used to solve a problem uses multiplication to relate the preference value, where the value for each criteria and alternative must be searched for eigen / priority vector first, after it is proved consistency using RI table (ratio index), if the result of verification is less than 10% (0.1) then it is consistent and the calculation can be continued, but if the verification result is more than 10% (0.1) then the calculation is considered inconsistent and needs to be repeated from the beginning. This support system uses a web base, where the data entered will be saved into the MySQL database. The test results of the Student Selection Selection Decision Support System Using Analitycal Hierarchy Process Method Based Web get results as expected on the Black Box. So it can be concluded an accurate percentage of system success of 100%.Keywords : Decision Support System, Black Box, Analitycal Hierarchy Process, The Selection Of  Athlete.

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