scholarly journals SISTEM PENDUKUNG KEPUTUSAN SELEKSI ATLET TARUNG DERAJAT DENGAN METODE PROMETHEE

2018 ◽  
Vol 4 (2) ◽  
pp. 122
Author(s):  
I Putu Arya Putrawan ◽  
Made Sudarma ◽  
I Made Arsa Suyadnya

Tarung Derajat is a martial art that has existed for a long time in Indonesia. Someone who wants to be an Tarung Derajat athlete must participate in the athlete selection. So far there is no system that facilitates the selection of Tarung Derajat athletes so that the selection process is more time-consuming, prone to error and nepotism. To prevent this, in this study built a decision support system using PROMETHEE method to assist the Tarung Derajat athletes selection process. This decision support system is built with web-based programming using PHP programming language and MySQL database. With success rate up to 90,66% in usability test, can be concluded that Decision Support System of Tarung Derajat Athletes Selection can support the athletes selection process.

Author(s):  
Cristella Sitinjak ◽  
Nelly Astuti Hasibuan ◽  
Rian Syahputra

The process of selecting the North Sumatra Ambassador Language Finalists at the North Sumatra Language Hall is still subjective in that the assessment may not be based on established criteria or without looking objectively so that the selection process is carried out less precisely and the resulting decision is less satisfactory for the participants of the Ambassador Finalists North Sumatra Language. In this study, the authors used a decision support system with the Promethee II method to find the value of weights and criteria, and to find the final score or to find the finalist ranking of the North Sumatra Language Ambassador. Thus the Decision Support System is needed in order to help the North Sumatra Language Office in determining the Finalists of the North Sumatra Language Ambassador. To overcome these problems, it is necessary to build a decision support system application for the selection of North Sumatra Language Ambassador Finalists using the Promethee II method so that it can help and facilitate the North Sumatra Language Hall in making a decision to choose the North Sumatra Language Ambassador and the resulting decision is satisfactory.Keywords: Decision Support System, Language Ambassadors, Promethee Method ii


Author(s):  
Fitriani Br. Manurung ◽  
Nelly Astuti Hasibuan ◽  
Natalia Silalahi

The process of selecting the North Sumatra Ambassador Language Finalists at the North Sumatra Language Hall is still subjective in that the assessment may not be based on established criteria or without looking objectively so that the selection process is carried out less precisely and the resulting decision is less satisfactory for the participants of the Ambassador Finalists North Sumatra Language. In this study, the authors used a decision support system with the Promethee II method to find the value of weights and criteria, and to find the final score or to find the finalist ranking of the North Sumatra Language Ambassador. Thus the Decision Support System is needed in order to help the North Sumatra Language Office in determining the Finalists of the North Sumatra Language Ambassador. To overcome these problems, it is necessary to build a decision support system application for the selection of North Sumatra Language Ambassador Finalists using the Promethee II method so that it can help and facilitate the North Sumatra Language Hall in making a decision to choose the North Sumatra Language Ambassador and the resulting decision is satisfactory.Keywords: Decision Support System, Language Ambassadors, Promethee Method ii


Author(s):  
Betrik J Hutapea ◽  
Mesran Mesran ◽  
Siti Nurhabibah

SUMUT Bank is one of the Banks in Indonesia with the name of the company PT. Regional Development Bank of North Sumatra. The North Sumatra Bank has branches in each region in North Sumatra both in the district and in the sub-district, and each of these branches is led by a branch leader or branch head. The head of this branch is responsible for the reversal of the Bank being led. The best and most accomplished branch heads deserve more and more awards. The selection of the best branch heads is selected transparently and structured in the hope that it can be a motivation for all branch heads to be able to further improve the quality and service of the Bank they lead. Making the best branch head selection done manually will take a long time and tends to be less transparent and structured. One solution so that the implementation of the selection can be carried out easily and quickly, it requires a Decision Support System that can provide consistency of assessment. In this study the method used is the VIKOR method (Visekriterijumsko Kompromisno Rangiranje). This method makes cracking on alternatives based on criteria that have been determined with an ideal compromise solution or the best solution, so that this system can later be beneficial for the SUMUT Bank to get the title in determining the best branch head.Keywords: Decision Support System, North Sumatra Bank, Branch Head, Vikor


2019 ◽  
Vol 2 (1) ◽  
pp. 40-46
Author(s):  
Rikardo Chandra ◽  
Izmy alwiah Musdar ◽  
Junaedy .

This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists. The expected benefit of this research is to help the user get the best tourist recommendation information available in South Sulawesi based on the conditions in input factors. The theorem or method used in this study, namely the theorem Naïve Bayes. The design of the system isimplemented using PHP programming language and MYSQL database. Based on the results of the research, the authors have successfully built the application of decision support system to determine the recommendation of tourist attractions in South Sulawesi with 65% accuracy based on 20 tests conducted.


Author(s):  
Muhammad L O Mardin ◽  
Achamad Fuad ◽  
Hairil K Sirajuddin

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.


2021 ◽  
Vol 5 (1) ◽  
pp. 31-40
Author(s):  
Ronny Addenan ◽  
◽  
Wilda Susanti ◽  

PT.Yanmarindo Perkasa is a company in the sale of diesel engines, generators, tooling tools and engine spare parts. Many suppliers want to distribute their goods through PT.Yanmarindo Perkasa, thus demanding the company to choose the right supplier, in order to ensure the smooth fulfillment of stock items. The process of selecting suppliers is still done manually with criteria limited to quantitative criteria, so that the process takes a long time and the results are not precise. The purpose of this study is to build a decision support system for supplier recommendations quickly and precisely in meeting the company's needs. The supplier selection process uses the Rank-Order Centroid (ROC) method in weighting the criteria and the Additive Ratio Assessment (ARAS) for ranking. ARAS value obtained is the K value that is ranked to get the best supplier by using a computerized decision support system. The application of these two methods can speed up the results of decisions, does not take a long time and the results obtained are also maximum.


Author(s):  
Denny Trias Utomo ◽  
Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono

Industry 4.0 is an integration between automation and manufacturing industry which requires the use of information technology to implement it. In the operational management framework, there is a supply chain management function that is strongly influenced by quality suppliers. Because choosing a quality new supplier is not an easy thing, we need a reliable application tool and utilizing web-based artificial intelligence technology for the selection of suppliers in the manufacturing industry. The selection of new suppliers is a complex problem because it involves multiple criteria, therefore it is necessary to make a decision support system that is able to complete supplier selection properly. Although the selection of suppliers in the manufacturing industry is not new, in the era of Industry 4.0, a decision support system that is used to choose an absolute supplier based online that must be accessible via the web or mobile application. Therefore the writer's idea in this paper is very relevant to be implemented in the manufacturing industry in all fields in the industrial era 4.0.


2021 ◽  
Vol 11 (23) ◽  
pp. 11296
Author(s):  
Abdul Mateen ◽  
Seung Yeob Nam ◽  
Muhammad Ali Haider ◽  
Abdul Hanan

In recent years, the cloud computing model has gained increasing attention and popularity in the field of information technology. For this reason, people are migrating their applications to public, private, or hybrid cloud environments. Many cloud vendors offer similar features with varying costs, so an appropriate choice will be the key to guraranteeing comparatively low operational costs for an organization. The motivation for this work is the necessity to select an appropriate cloud storage provider offering for the migration of applications with less cost and high performance. However, the selection of a suitable cloud storage provider is a complex problem that entails various technical and organizational aspects. In this research, a dynamic Decision Support System (DSS) for selection of an appropriate cloud storage provider is proposed. A web-based application is implemented using PHP and MySQL to facilitate decision makers. The proposed mechanism has been optimized in a way that enables the system to address static database issues for which a user might not acquire the best solution. It focuses on comparing and ranking cloud storage providers by using two modules: scraping and parsing. The evaluation of the proposed system is carried out with appropriate test cases and compared with existing tools and frameworks.


Author(s):  
Latifah Nurbaiti ◽  
Kudang Boro Seminar ◽  
Nugraha Edhi Suyatma

Culinary efforts, especially ethnic and traditional snacks attract many people to Indonesia. Maintaining the quality of snacks for consumers requires a good packaging technique. Food packaging consists of a wide variety of packaging options that match the characteristics of each snack; this is no easy task. Decision support systems can help to facilitate decisions made regarding selection of the right packaging. This paper focuses on identifying snacks, types of packaging and active packaging parameters to build a decision support system in order to determine appropriate packaging. Types of packaging are determined using fuzzy Sugeno 4 parameters: fat, water activity, shelf-life and price. Active packaging of the snacks is done using the if-else rule with parameterised types of packaging, preservatives, oxygen barriers and water vapour barriers. The end result of this research is a web-based decision support system, which recommends types of packaging and active packaging for snacks.


JURTEKSI ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 285-292
Author(s):  
Sukamto Sukamto ◽  
Yanti Andriyani ◽  
Ayu Lestari

Abstract: Scholarships are provided selectively according to the type of learning held. There are so many scholarships offered to students who are outstanding and poor, one of which is the scholarship provided by the University of Riau, named Bidikmisi scholarship. The evaluation process of prospective scholarship recipients is carried out by the committee directly and is still done manually. So that it allows the creation of a support system for the decision to accept Bidikmisi scholarships using the smart web-based method. The system created, designed using UML diagrams, the system has made using the PHP programming language and database. The resulting system can process  using ten experimental data obtained a sequence of values from highest to smallest, with the highest amount of 0.75.            Keywords: Bidikmisi; Decision Support System; Scholarship; Smart Method.  Abstrak: Pemberian beasiswa dilakukan secara selekif sesuai dengan jenis beasiswa yang diadakan. Banyak sekali beasiswa yang ditawarkan kepada mahasiswa yang berprestasi dan kurang mampu, salah satunya beasiswa yang ditawarkan universitas riau yaitu beasiswa bidikmisi. Proses Penilaian calon penerima beasiswa dilakukan oleh panitia secara langsung dan masih dilakukan secara manual. Sehingga memungkinkan dibuatnya suatu sistem pendukung keputusan penerimaan beasiswa bidikmisi menggunakan metode smart berbasis web. Sistem yang dibuat, dirancang menggunakan UML diagram, pembuatan sistem menggunakan bahasa pemrograman PHP dan database. Sistem yang dihasilkan mampu mengolah data mahasiswa, mengolah data calon penerima untuk dihitung dan laporan jumlah calon penerima yang diterima dan ditolak. Hasil akhir dengan menggunakan 10 data percobaan diperoleh urutan nilai dari yang tertinggi sampai terkecil, dengan nilai tertinggi 0,75. Kata kunci: Beasiwa; Bidikmisi; Sistem Pendukung Keputusan; Smart. 


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