Sistem Pendukung Keputusan Menentukan Prioritas Tujuan Wisata Daerah pada Kabupaten Karo Menggunakan TOPSIS

2020 ◽  
Vol 3 (2) ◽  
pp. 144-150
Author(s):  
Jimmi Herdianda Gurusinga ◽  
Bosker Sinaga
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cost Efficiency ◽  
Topsis Method ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Priority Weights ◽  
Nature Park

There are approximately 20 tourist objects in the Karo Regency area that are close to each other, such as Gundaling Hill, Lumbini Nature Park, Fun Land Mickey Holiday and other places. Priority for visiting tourist areas really needs to be determined for time and cost efficiency and so that visitors can reach other tourist attractions around Tanah Karo. The problem in this research is designing a Decision Support System to determine the priority of regional tourist destinations in Karo Regency using the TOPSIS method. Determination of the weight of each criterion obtained from processing the interview data. The weight of the criteria to determine the preferred criteria. The greater the weight, the more priority. Weights for each criteria for determining priority destination of tourist attractions, Distance from Berastagi (weight 30%), Facilities and Facilities (weight 15%), Access (15%), Type of Tourism (weight 20%), Entrance Fee (Weight 15%), Culinary (weight 5%), and internet network (5%).

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

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>

scholarly journals SISTEM PENDUKUNG KEPUTUSAN DALAM PEMILIHAN HOTEL DI TANGERANG MENGGUNAKAN METODE AHP DAN TOPSIS

2021 ◽  
Vol 5 (1) ◽  
pp. 67-72
Author(s):  
Herry Sukma ◽  
◽  
Fenina Twince Tobing ◽  
Rena Nainggolan ◽  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Topsis Method ◽  
Ahp Method ◽  
Tourist Attractions ◽  
Alternative Ranking ◽  
The City

Banten Province has a city, namely Tangerang, to be precise in the northern part of Banten City. There are many tourist attractions that we can visit in the city of Tangerang, such as natural scenery, historical places, natural scenery, photo spots and culinary tours. With various tourist attractions in the city of Tangerang, it attracts tourists who want to travel to these places. With so many interested tourists visiting the city of Tangerang, the existing hotel is one of the destinations for tourists who are visited for a place to stay and rest. This has had an impact on the increasing number of hotels in the area, which has led to an increasing variety of choices for tourists. To make it easier for tourists to choose a hotel according to their needs, a decision support system is needed in choosing a hotel to use for a place to stay and rest. Tourists can choose hotels according to their desired needs by using a decision support system with various criteria. The decision support system applies the initial criteria weighting by using the AHP method and hotel alternative ranking using the TOPSIS method. The system has been tested and implemented by distributing questionnaires to 30 respondents using the USE Questionnaire and applying the Sala Likert Method to perform the questionnaire calculations, and the final result obtained in the calculation of the questionnaire is 84.51%.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENENTUAN CUTI PEGAWAI MENGGUNAKAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) (STUDI KASUS DI KANTOR PELAYANAN PERBENDAHARAAN NEGARA YOGYAKARTA)

Compiler ◽  
2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Made Intan Dwipayani ◽  
Anton Setiawan Honggowibowo ◽  
Dwi Nugraheny
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Topsis Method ◽  
A Value ◽  
Degree Of Membership ◽  
Calculation Process ◽  
Order Preference

Decision Support System or DSS is a system that helps managers in solving the problems of semi-structured. Many techniques are used to make the Decision Support System, one with Fuzzy Logic. Fuzzy logic is one of problem-solving techniques where the degree of membership which are typically represented by values 0 and 1, with Fuzzy Logic is the degree of membership can be represented with a value between 0 and 1 so that it can be more balanced.             KPPN Yogyakarta in determining an employee on leave not yet have an application, and is still done manually. Therefore, to further assist in making the determination of the employee on leave should be made DSS. DSS will use fuzzy logic techniques MADM applying TOPSIS method in the calculation process. SPK expected this may be an alternative in the determination of an employee on leave in KPPN Yogyakarta later. Decision Support System determination of an employee on leave with TOPSIS method is to obtain results that are not much different from the calculations manually, so it can be applied to support the decision in the determination of employee leave.

scholarly journals Adwords Keyword Set Selection Decision Support System Using AHP and TOPSIS Method

2020 ◽  
Vol 14 (2) ◽  
pp. 135
Author(s):  
Sholikin Ady Chandra ◽  
Edi Winarko ◽  
Sigit Priyanta
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Topsis Method ◽  
Creative Agency ◽  
Priority Weights ◽  
Alternative Ranking ◽  
Marketing Service ◽  
Objective Reference ◽  
The Right

CV. Gitani Creative Agency is a company engaged in the field of creative agency providing digital marketing service. Google Adwords is a platform used by the company to run this service. Keyword set selection is critical to the performance of ads. However, finding the right keyword set is not an easy task. The company needs to consider various criteria to get the optimal advertising results. Decision support system (DSS) is needed as an objective reference in the process of keyword set selection. The criteria for decision-making are click, impressions, cost, and avg. CPC.AHP method is used to compare the value of each criteria and then generate priority weights of each criteria. While TOPSIS method is used for alternative ranking. The combination of these methods aims to improve the performance of TOPSIS method.The result of this study shows that the combination of AHP and TOPSIS methods can be used to determine the best keyword set for ads. Based on the testing results, DSS can do alternative ranking correctly in accordance with the results of manual calculation and it is also flexible to the changes in criteria and alternatives.

scholarly journals Sistem Pendukung Keputusan Menentukan Prioritas Tujuan Wisata Daerah pada Kabupaten Karo dengan Metode TOPSIS

2020 ◽  
Vol 5 (3) ◽  
pp. 423
Author(s):  
Jimmi Herdianda Gurusinga ◽  
Bosker Sinaga ◽  
Anita Sindar RM Sinaga
Keyword(s):  
Problem Solving ◽  
Topsis Method ◽  
Problem Identification ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Priority Weights ◽  
Nature Park ◽  
A Priority ◽  
Alternative Solutions ◽  
Internet Network

There are approximately 20 tourist objects in the Karo Regency area that are close to each other, such as Gundaling Hill, Lumbini Nature Park, Fun Land Mickey Holiday and other places. The main problem is designing a system using the SPK in determining the priority of regional tourist destinations in Karo Regency using the TOPSIS method. Problem solving steps are carried out from problem identification, determining alternative solutions to problems that arise so that the best decisions can be made. The weight of the criteria to determine the preferred criteria. The greater the weight, the more priority. Weights for each criteria for determining priority destination of tourist attractions, Distance from Berastagi (weight 30%), Facilities and Facilities (weight 15%), Access (15%), Type of Tourism (weight 20%), Entrance Fee (Weight 15%), Culinary (weight 5%), and internet network (5%). The preference value (V) produces alternatives that are ordered from largest to smallest. The biggest preference is tourism priority, in this case Kubu Berastagi Hill becomes a priority destination based on criteria.

scholarly journals Smart Mobile Application for Decision Support Systems on Determination of Resident in Dormitory

Kursor ◽  
2020 ◽  
Vol 10 (3) ◽  
Author(s):  
Achmad Jauhari ◽  
Fifin Ayu Mufarroha
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Character Education ◽  
Support System ◽  
Topsis Method ◽  
The Status ◽  
Boarding House ◽  
Smart Mobile ◽  
Selection Of

The dormitory is one of the facilities provided with the aim of helping students to get a place to live because some of them come from distant places. The Trunojoyo Madura University dormitory has regulations that serve as a place for the process of character education, spiritual deepening, moral improvement. With these regulations, plus the boarding house is a conducive, economical, and strategic place to stay making many students interested in being able to live there. The problem is that each semester change is carried out by the selection of dorm residents and so far it is still done manually by way of discussion of each individual. Therefore, the purpose of this research is to help the board by building a decision support system in determining residents who are still eligible to live in a dormitory and provide opportunities for other students to live in a dormitory. We develop systems based on mobile applications. TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) is implemented as a multi criteria decision making method with four main criteria including routine absence, non-routine absence, violation and notes. The final results of this decision support system are ranks and colors that indicate the status of boarding residents. Ranking starts from the top (1) to the bottom (216) accompanied by a status of green to red. The color status is divided into 3 namely green (safe), yellow (vulnerable), and red (issued). From 216 boarders we took 10 samples of dormitory data for testing. The results of trials with 10 data samples by applying the TOPSIS method obtained an accuracy of 90%.

IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN

2019 ◽  
Vol 2 (1) ◽  
pp. 40-46
Author(s):  
Rikardo Chandra ◽  
Izmy alwiah Musdar ◽  
Junaedy .
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Web Based ◽  
Tourist Attractions ◽  
South Sulawesi

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.

Implementasi Metode Entropy dan Topsis Dalam Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik

2018 ◽  
Vol 10 (1) ◽  
pp. 13-18
Author(s):  
Mitha Anggreani Rupang ◽  
Adhi Kusnadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Smart City ◽  
Entropy Method ◽  
Satisfaction Level ◽  
Topsis Method ◽  
Alphabetical Order ◽  
Index Terms ◽  
Growth Ability

Employee is a part of the company's most important asset in its efforts to maintain survival, growth, ability to compete and profit. At this time the process of assessment of employees in Jakarta Smart City is still in the form of manual and the decision only from one party only, so the process is still not accurate. So it takes the methods that must be able to replace that system. For that reason, a Decision Support System (SPK) was created to determine the best employees in Jakarta Smart City. In the system implemented the method of Entropy and TOPSIS. Entropy method can be trusted in determining the weight of the criteria to be used. And TOPSIS method can quickly perform the ranking process. Criteria to be used are quality and quantity of work, obedience, cooperation, morale, and work discipline. The index of satisfaction level of respondents to the decision support system ranges from 70% -80%, meaning that the assessment of the system created gives results at a fairly good level. Index Terms—employee, nter key words or phrases in alphabetical order, separated by commas

scholarly journals PENENTUAN OPERATOR KARTU SELULER TERBAIK MENGGUNAKAN METODE AHP(ANALITYCAL HIERARCHY PROCESS)

2017 ◽  
Vol 1 (1) ◽  
pp. 61
Author(s):  
Rizaldi Rizaldi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Lower Layer ◽  
Middle Layer ◽  
Ahp Method ◽  
The Right ◽  
Hierarchy Process

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.

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

FLORESTA ◽  
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 system’s 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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