Retraction: Design of Decision Support System Determination of Inventory Inventory Using Single Exponential Smoothing Forecasting Method (J. Phys.: Conf. Ser. 1114 012082)

Abstract - The role of telecommunications technology is very important, especially in changing people's lives. The development of technology in the field of communication and information can now be enjoyed by various layers of society, starting from the upper layer, middle layer or lower layer even though the results are not satisfactory. The research entitled "Decision Support System Determination of the best cellular card operator using the AHP method" aims to provide convenience for consumers who want to buy cellular cards from various telecommunications operators according to their needs and save on bags. (economical). The number of cellular card operators provided by telecommunications makes it difficult for consumers to make the right choice, according to the desired criteria. Determining cellular cards with the AHP method is the right method to overcome the problem of determining the best cellular card with many criteria offered by each operator. These criteria include the purchase price of cellular cards, rates, promos and active periods. Keywords - Cellular card operator, Decision support system, Analitycal Hierarchy Process.

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DECISION SUPPORT SYSTEM FOR DETERMINING BEST HOMEROOM TEACHER WITH TOPSIS METHOD IN MIS NURUL HUDA PANTAI LABU

ZERO Jurnal Sains Matematika dan Terapan ◽

10.30829/zero.v3i1.3163 ◽

2019 ◽

Vol 3 (1) ◽

Author(s):

Elisa Purba ◽

Desi Vinsensia ◽

Yulia Utami

Keyword(s):

Student Achievement ◽

Decision Support ◽

Decision Support System ◽

System Design ◽

Support System ◽

School Principal ◽

Topsis Method ◽

Organizational Experience

<p><em>During this time the determination of the best homeroom teacher at MIS Nurul Huda Pantai Labu was still using a manual process , so the results were not optimal. In this study the decision support system was built to facilitate the school in determining the best homeroom teacher using the Topsis method. The criteria used are 5: attendance, organizational experience, data on student achievement, interaction with students, and final education. This system design application is expected to help the school principal in making decisions about determining the best homeroom teacher</em></p>

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FIRESIG - SISTEMA DE SUPORTE A TOMADA DE DECISÃO PARA O COMBATE A INCÊNDIOS NO PARANÁ

FLORESTA ◽

10.5380/rf.v34i2.2388 ◽

2004 ◽

Vol 34 (2) ◽

Author(s):

Flavio Deppe ◽

Eduardo Vedor De Paula ◽

Jackson Vosgerau ◽

Alexandre Guetter

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Hot Spots ◽

Vegetation Index ◽

Risk Index ◽

Fire Risk ◽

Civil Defense ◽

Environmental Disasters

O FIRESIG representa um sistema de suporte a tomada de decisão para o combate a incêndios no Estado do Paraná. O FIRESIG atende as demandas específicas de atividades de monitoramento, prevenção e combate a incêndios. Os usuários institucionais do FIRESIG se referem ao Instituto Ambiental do Paraná (IAP) e a Coordenadoria Estadual de Defesa Civil do Paraná. O FIRESIG oferece ferramentas para: (i) entrada de dados de focos de calor, índice de vegetação e índice de risco de incêndio, (ii) espacialização, visualização e análise de focos de calor, (iii) identificação de recursos e infra-estrutura disponível para combate aos incêndios, (iv) atualização da base de dados dos recursos disponíveis para o combate aos incêndios, (v) determinação de melhores rotas de acesso aos incêndios. A utilização do FIRESIG reduz o tempo de resposta para o combate aos incêndios e auxilia a montagem de estratégias de combate. O FIRESIG é caracterizado como um sistema de suporte a tomada de decisão, robusto e de baixo custo para combate aos incêndios. Além do mais pode ser adaptado para ser utilizado em outros tipos de desastres ambientais. FIRESIG DECISION SUPPORT SYSTEM FOR FIRE FIGHT IN PARANÁ Abstract The FIRESIG represents a decision support system for fire fight in the Paraná State. The FIRESIG meets specific demands for monitoring, prevention and fire fight. The systems users are the Paraná Environmental Institute and the Paraná Civil Defense Coordination. The FIRESIG offers several tools for: (i) hot spots, vegetation index and fire risk index data input, (ii) mapping, visualization and hot spots analysis, (iii) identification of available resources and infrastructure for fire fight, (iv) data base update, (v) determination of firefight best routes. The use of FIRESIG reduces fire fight response time and helps the fire fight strategy definition. The FIRESIG can be considered as robust and a low price fire fight system. Additionally, the system can be adapted for use as a decision support system for other environmental disasters.

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FUZZY INFERENCE SYTEM TSUKAMOTO UNTUK PENENTUAN PENERIMA JAMKESMAS DENGAN MICROSOFT VISUAL BASIC DAN MYSQL

JOUTICA ◽

10.30736/jti.v2i1.28 ◽

2017 ◽

Vol 2 (1) ◽

Author(s):

M Ghofar Rahman

Keyword(s):

Public Health ◽

Health Insurance ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Fuzzy Inference ◽

Public Health Insurance ◽

Service Agency ◽

The Public

The problem that existed in the health service agency in this case is the health center, namely the determination of the recipient of public health insurance (Jamkesmas), although in practice the determination of recipients Jamkesmas already using the computer, but only limited to the support and there is no system that can be used to support the retrieval Decisions based on existing variables. The decision support system for determining the members of Jamkesmas recipients, where the system is used to help determine the recipients of Jamkesmas to be provided in accordance with their respective groups to accelerate the work of determining the provision of Jamkesmas. The system can assist the puskesmas in determining the members of Jamkesmas beneficiaries in accordance with the appropriate class to the community who want to become the members of Jamkesmas beneficiaries at the Puskesmas. This decision support system using the Fuzzy Tsukamoto Method, which will provide a decision solution to the puskesmas in determining the members of the public health insurance (Jamkesmas).

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Sistem Pendukung Keputusan Pemilihan Sepeda Motor Bebek dengan Metode Elimination Et Choix Traduisant La Realite (Electre) Didukung Bahasa Pemrograman Java dan Database MYSQL

Indonesian Journal of Computer Science ◽

10.33022/ijcs.v6i2.38 ◽

2018 ◽

Vol 6 (2) ◽

pp. 157-175

Author(s):

Sahari Sahari

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Tank Capacity

Decision Support System (DSS) is a system that can assist a person in making accurate decisions and targeted. Many problems can be solved by using( DSS), one of which is the determination of election Motorcycles duck. There are several methods that can be used in building a (DSS) them (Electre). This study uses (Electre) in determining the election Motorcycles duck.In determining the Duck Motor bike, there are several criteria on which to base decisions, among others, price, warranty, Speed, Tank Capacity and Technology. The end result of this research is the result of the priority criteria of the motor, which is ranked from highest to lowest, so that the buyer can easily make decisions by looking at these results.

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DESAIN DSS (DECISION SUPPORT SYSTEM) MENGGUNAKAN METODE PROFILE MATCHING UNTUK PENENTUAN PENERIMA BEASISWA DI POLITEKNIK NEGERI SAMARINDA

Jurnal Kreatif : Desain Produk Industri dan Arsitektur ◽

10.46964/jkdpia.v2i1.104 ◽

2020 ◽

Vol 2 (1) ◽

pp. 10

Author(s):

Muchamad Zainul Rohman

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Selection Process ◽

Decision Making Process ◽

Multi Criteria Decision Making ◽

Profile Matching ◽

To Receive

The scholarship selection process of Politeknik Negeri Samarinda are constraints on the decision-making process. This is because there is no objective method to determine quickly and precisely. To assist in the determination of the set someone worthy scholarship in this study will be design DSS (Decision Support System) with model of Multi-Criteria Decision Making. The method used is the method Profile Matching. Profile Matching methods have been able to select the best alternative from a number of alternatives, in this case meant that alternatives are eligible to receive scholarships based on the criteria specified. Research carried out by finding the weights for each sub-aspect, then carried ranking process that will determine the optimal alternative, the best students will be considered by decisionmakersto get a scholarship. Proses seleksi beasiswa di Politeknik Negeri Samarinda banyak terdapat kendala pada proses pengambilan keputusan. Hal ini dikarenakan belum ada metode objektif yang dapat memutuskan dengan cepat dan tepat. Untuk membantu penentuan dalam menetapkan seseorang yang layak menerima beasiswa maka dalam penelitian ini akan didesainkan DSS (Decision Support System) dengan model Multi Criteria Decision Making. Metode yang digunakan adalah metode Profile Matching. Metode Profile Matching dipilih karena mampu menyeleksi alternatif terbaik dari sejumlah alternatif, dalam hal ini alternatif yang dimaksudkan yaitu yang berhak menerima beasiswa berdasarkan kriteria-kriteria yang ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap sub aspek, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu mahasiswa terbaik yang akan dipertimbangkan oleh pengambil keputusan untuk mendapatkan beasiswa.

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Decision Support System for Determination of Salaries Employees in Civil Service Police Unit Deli Serdang With Simple Additive weighting method (SAW)

Journal Of Computer Networks, Architecture and High Performance Computing ◽

10.47709/cnapc.v2i1.366 ◽

2020 ◽

Vol 2 (1) ◽

pp. 107-113

Author(s):

Mifta Reza Yolanda ◽

R. Mahdalena Simanjorang

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Civil Service ◽

Preference Weight ◽

Weighting Method ◽

Simple Additive Weighting

This study examines how to design an application for the Deli Serdang Civil Service Police Unit in order to Facilitate the Process of Determining Salaries employee. With this application, it is hoped that it will make it Easier for the Office to Determine the determination of employee Salaries so that it is faster and more accurate. The SAW method certainly uses a more Appropriate assessment Because it is based on a criterion value of a predetermined preference weight. With the existence of accurate the data will be Able to minimize the time wasted and Be Able to use the system that is being designed. Data managed in the Office still uses Excel so that in its implementation the the data is still vulnerable to being scattered and the possibility of vulnerability to damage and loss of data.

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Penerapan Metode Fuzzy Sugeno Pada Sistem Pendukung Keputusan Penentuan Konsentrasi Mahasiswa Jurusan Teknik Sipil

JSI: Jurnal Sistem Informasi (E-Journal) ◽

10.36706/jsi.v9i2.7980 ◽

2017 ◽

Vol 9 (2) ◽

Author(s):

Dwi Rosa Indah ◽

Rizka Dhini ◽

Vinna Alvionita

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Civil Engineering ◽

Department Of State ◽

Engineering Department ◽

Computer Based ◽

Output Stages

AbstrakPenelitian ini menekankan pada penerapan Metode Fuzzy Sugeno dalam Sistem Pendukung Keputusan Penentuan Konsentrasi Mahasiswa Jurusan Teknik Sipil pada tempat studi kasus Jurusan Teknik Sipil Politeknik Negeri Sriwijaya. Penerapan metode fuzzy sugeno dilakukan dengan tahap pendefinisian input dan output, pembentukan himpunan fuzzy dan penyelesaian dengan metode fuzzy sugeno. Hasilnya adalah metode fuzzy sugeno dapat membantu mengatasi masalah Penentuan Konsentrasi Mahasiswa Jurusan Teknik Sipil di tempat studi kasus. Selain itu Sistem Pendukung Keputusan Berbasis Komputer untuk Penentuan Konsentrasi Mahasiswa Jurusan Teknik Sipil menggunakan Fuzzy Sugeno menghasilkan persentase kelayakan masing-masing konsentrasi jurusan teknik sipil dan memberikan rekomendasi konsentrasi yang paling layak bagi mahasiswa.Kata kunci: Sistem Pendukung Keputusan, Fuzzy SugenoAbstractThis research emphasizes on the application of Fuzzy Sugeno method in Decision Support System for Determining Concentration of Students Civil Engineering at Case Study of Civil Engineering Department of State Polytechnic of Sriwijaya. The fuzzy sugeno method is done by defining input and output stages, fuzzy set formation and completion using fuzzy sugeno method. The result is fuzzy sugeno method can solve problem in Determining Concentration of Students Civil Engineering at Case Study. In addition, Computer Based Decision Support System for Determination of Civil Engineering Student Concentration using Fuzzy Sugeno resulted in the percentage of eligibility of each concentration of civil engineering department and give the most appropriate concentration recommendation for the students.Keywords: Decision Support System, Fuzzy Sugeno

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

KALBISCIENTIA Jurnal Sains dan Teknologi ◽

10.53008/kalbiscientia.v6i1.56 ◽

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.

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