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 Air Defence Decision Support System Design Using Fuzzy Logic

2018 ◽  
pp. 135-139
Author(s):  
Fuat Beser ◽  
Dogan Adiguzel ◽  
Omur Yildirim ◽  
Tulay Yildirim
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
System Design ◽  
Expert Opinion ◽  
Support System ◽  
Support Systems ◽  
Threat Level ◽  
Electronic Support

Since air vehicles move faster than land or sea vehicles, warships must be able to perceive their threats from the air in a limited amount of time and react appropriately. Information from various sensors such as radar, electronic support systems, eyes are used to identify air targets correctly. The determination of the target type and threat level is of great importance in terms of determining the reaction to be shown. In this study, the threat level was determined by using the velocity, altitude, distance and climb rate values of the air targets and the fuzzy logic rules which are obtained by the expert opinion.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEREKRUTAN ANGGOTA BEM MENGGUNAKAN METODE SAW DAN TOPSIS

2021 ◽  
Vol 4 (1) ◽  
pp. 18-24
Author(s):  
Aziza Najar ◽  
◽  
Volvo Sihombing ◽  
Musthafa Haris Munandar ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
University Student ◽  
Topsis Method ◽  
Executive Board ◽  
Interview Score ◽  
Organizational Experience ◽  
System Selection

This study aims to solve problems in the recruitment of prospective BEM members at Labuhan Batu University. To select a competent member of the Labuhan Batu University Student Executive Board (BEM) organization, several stages of selection were carried out. However, decision making in recruitment isprone to collusion and nepotism at the student level on campus. To overcome this, a decision support system (DSS) for the recruitment of BEM members was designed using the SAW and TOPSIS methods. The DSS is designed using criteria, namely: GPA, Interview Score, Support Certificate, Organizational Experience and Commitment with weights for each criterion are 10, 20, 20, 30, 30.The result of this study is a decision support system using the TOPSIS method and SAW. The two best alternatives obtained from the ranking results using these two methods are alternatives with numbers A7 and A8. Keywords: Decision Support System, Selection, SAW, TOPSIS, Method

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.

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 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%.

scholarly journals Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi di Sekolah Menengah Pertama dengan Metode VIKOR dan TOPSIS

2017 ◽  
Vol 3 (2) ◽  
pp. 113
Author(s):  
Rivanda Putra ◽  
Indah Werdiningsih ◽  
Ira Puspitasari
Keyword(s):  
Student Achievement ◽  
Decision Support ◽  
Decision Support System ◽  
Data Processing ◽  
Support System ◽  
Object Oriented ◽  
Second Phase ◽  
Ideal Solution ◽  
Topsis Method ◽  
Object Oriented Design

Abstrak— Penelitian ini bertujuan merancang dan membangun sistem pendukung keputusan untuk pemilihan siswa berprestasi di SMP Taruna Jaya I Surabaya dengan metode VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) dan Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS). Sistem pendukung keputusan ini dibangun melalui 6 tahap. Tahap pertama adalah pengumpulan data dan informasi melalui wawancara dan analisis dokumen. Tahap kedua adalah pengolahan data dan informasi untuk mendapatkan rancangan sistem yang akan dibangun. Tahap ketiga adalah analisis sistem yang meliputi input data siswa, pembobotan kriteria dengan metode AHP, serta perankingan alternatif dengan metode VIKOR dan TOPSIS. Tahap keempat adalah perancangan sistem menggunakan konsep Object Oriented Design. Tahap kelima adalah implementasi sistem berbasis web. Tahap terakhir adalah evaluasi sistem dengan membandingkan tingkat akurasi antara metode VIKOR dan TOPSIS. Berdasarkan hasil uji konsistensi, terdapat 7 percobaan yang tidak konsisten dan 13 percobaan yang konsisten. Hasil yang diperoleh adalah tingkat akurasi yang tertinggi sebesar 80% dengan menggunakan TOPSIS. Berdasarkan hasil tersebut maka metode TOPSIS dapat digunakan pada kasus pemilihan siswa berprestasi di SMP Taruna Jaya I Surabaya dengan derajat kepentingan antar kriteria adalah nilai aktivitas sedikit lebih penting dari nilai rapot, nilai aktivitas lebih penting dari nilai prestasi, nilai aktivitas sangat kuat penting dari nilai sikap, nilai rapot sedikit lebih penting dari nilai prestasi, nilai rapot lebih penting dari nilai sikap, dan nilai prestasi sedikit lebih penting dari nilai sikap.Kata Kunci— AHP, Pemilihan Siswa Berprestasi, Sistem Pendukung Keputusan, TOPSIS, VIKORAbstract— This research proposes a solution to create a decision support system of student achievement selection using VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) method. The decision support system would resolve the problem of big data processing which needs more effort and more time. The development of decision support system of student achievement selection consisted of 6 phases. The first phase was collecting the data and information via interviews and document analysis. The second phase was data processing to create system design. The third phase was analyzing the system that includes the input of student data, weighing the criteria using AHP method, and rank the alternatives using VIKOR and TOPSIS method. The fourth phase was designing the system using Object Oriented Design. The fifth phase was implementing the system using a web-based. The sixth phase was the evaluation of system by comparing the level of accuracy between VIKOR and TOPSIS methods. Based on the result of consistency test, there were 7 inconsistent experiments and 13 consistent experiments. The result obtained is the highest accuracy rate of 80% by using TOPSIS. Based on these results, TOPSIS method can be used in case of selection of outstanding students in SMP Taruna Jaya I Surabaya with degree of importance among the criteria is activity value was slightly more important than report value, activity value was more important than achievement value, activity value was very important from attitude value, report value was slightly more important than achievement value, report value was more important than attitude value, and achievement value was slightly more important than attitude value.Keywords— AHP, Decision Support System, Student Achievement Selection , TOPSIS, VIKOR

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI DI SMP NEGERI 1 POLOKARTO SUKOHARJO MENGGUNAKAN METODE WEIGHTED PRODUCT (WP)

2017 ◽  
Vol 15 (2) ◽  
Author(s):  
Aqoid Mustofa Ardhi, Dwi Remawati , Sri Hariyati Fitriasih
Keyword(s):  
Student Achievement ◽  
Decision Support ◽  
Decision Support System ◽  
System Design ◽  
Support System ◽  
Ideal Solution ◽  
Student Selection ◽  
Product System ◽  
The Ideal

This research is to make decision support system from student selection achievement in SMP Negeri 1 Polokarto Sukoharjo which still done manually. The method used is weighted product. System design using UML. Testing this system aims to find the level of validity of the system that applies the weight of algorithm products with MS.excel calculation with the same criteria and the same weight on each alternative for the results of calculating the distance relative to the ideal solution manual. The result of this research is making decision support system from student achievement. Keywords: decision support system, student selection achievement, weighted product 

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

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