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 Boarding House Selection using SAW Method

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1500-1506
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Internet Technology ◽  
Alternative Housing ◽  
Boarding House ◽  
Computer Based ◽  
Simple Additive Weighting ◽  
Selection Of

Determination of residence in a new area known is influenced by many factors namely location, facilities, contract systems and prices. This journal determines the criteria used in selecting a residence. These criteria were analyzed using simple additive weighting (SAW) method. The results of the analysis obtained in the form of location criteria to determine the most suitable boarding house because the existence of boarding houses in the vicinity of public facilities is highly expected for migrants in a new area. With the advancement of information technology it can answer the need to find a boarding house, and will be very helpful both from the owner and tenant side. And not only that, with this internet technology, prospective tenants can also select a boarding house that suits their wishes. Planning a system that can assist in the determination of temporary housing is needed by tenants in finding housing that fits the desired criteria. With the creation of a DSS (Decision Support System), the selection of boarding houses is expected to help resolve the problem of alternative housing. Therefore a decision support system application program is needed to determine a temporary residence or boarding house. Decision support system is a computer-based system that aims to assist decision making by utilizing data and models to solve unstructured problems.

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 IMPLEMENTASI METODE TOPSIS DAN SAW DALAM MEMBERIKAN REWARD PELANGGAN

2017 ◽  
Vol 4 (1) ◽  
pp. 88 ◽  
Author(s):  
Agus Perdana Windarto
Keyword(s):  
Drinking Water ◽  
Decision Support ◽  
Decision Support System ◽  
Computer Science ◽  
Support System ◽  
Research Method ◽  
Topsis Method ◽  
The Status ◽  
The Right ◽  
Better Than

<p align=""><em>In an industry sales, competition is a natural thing. The number of businesses with the same type makes an entrepreneur should have the right strategies in increasing the purchasing power of customers and reap the benefits. This research aims to implement the algorithms in computer science to create a decision support system for granting rewards to customers Drinking water Depot. In this research method used is TOPSIS and SAW. Where samples are used as much as 6 customers with the assessment criteria is the status of payments, the status of customer liveliness, long subscription, purchase amount, and the time of purchase. From the comparison of the two methods, showed that the calculations carried out by TOPSIS method is better than the SAW method.</em></p><p><strong><em>Keywords</em></strong><em>: Customer, SPK, Reward, TOPSIS method, Method SAW</em></p><p><em>Dalam sebuah industri penjualan, persaingan merupakan hal yang wajar. Banyaknya usaha-usaha dengan jenis yang sama membuat seorang pengusaha harus memiliki strategi-strategi yang tepat dalam meningkatkan daya beli pelanggan dan menuai keuntungan.</em><em> Penelitian ini bertujuan untuk mengimplementasikan algoritma dalam ilmu komputer untuk membuat sistem pendukung keputusan pemberian reward kepada pelanggan Depot Air minum. Dalam penelitian ini metode yang digunakan adalah TOPSIS dan SAW. Dimana sampel yang digunakan sebanyak 6 pelanggan dengan kriteria penilaian adalah </em><em>status pembayaran, status keaktifan pelanggan, lama berlangganan, jumlah pembelian, dan waktu pembelian</em><em>. Dari hasil perbandingan kedua metode tersebut, diperoleh hasil bahwa perhitungan yang dilakukan dengan metode TOPSIS lebih baik dibandingkan dengan metode SAW.</em></p><p><strong><em>Kata Kunci</em></strong><em>: </em><em>Pelanggan</em><em>, SPK, </em><em>Reward</em><em>,</em><em> </em><em>Metode </em><em>TOPSIS</em><em>, </em><em>Metode SAW</em><em></em></p>

scholarly journals Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Rumah Kost

2019 ◽  
Vol 3 (2) ◽  
pp. 243
Author(s):  
Rita Novita Sari ◽  
Ratna Sri Hayati
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Utility Theory ◽  
Weighted Sums ◽  
Multi Attribute Utility Theory ◽  
Boarding House ◽  
Selection Of

The development of information technology is currently developing rapidly. The use of information technology is very broad in various fields of life. The choice of boarding house is one of the things that is not easy to do. The problem often faced when choosing a boarding house is that boarders find it difficult to get information about boarding houses. Decision support system is a method that helps in making decisions on a particular problem, where no one can make a definite decision. Multi Attribute Utility Theory (MAUT) is a method of decision making. MAUT is a method where looking for weighted sums of the same values in each utility in each attribute. By applying the MAUT method in the selection of boarding houses, it can give good suggestions or recommendations on boarding houses.

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN MITRA KERJASAMA PADA HOTEL GRAND SIRAO DENGAN MENGGUNAKAN METODE PSI (Preference Selection Index)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Hendri Cahaya Putra
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Index Selection ◽  
Short Supply ◽  
Cooperation Partners ◽  
The Right ◽  
Selection Of

Grand Sirao Hotel is a hotel that stands in the middle of Medan City, located on Jl. Semarang. Grand Sirao Hotel is an attractive hotel in the sector of cooperation in certain fields, but in this hotel it often happens in cooperation with outside companies. One of the problems that often occurs at the Grand Sirao Hotel is the constrained stock of goods needed for guests staying at the hotel, items that are often constrained which are usually in the form of sandals and toiletries that are in short supply. This problem often arises because of the many other factors between companies related to hotel owners themselves, debates that often arise from hotel owner claims include quality of goods that are sometimes incompatible with reservations and need to be taken into account, inventory can be exhausted, prices always go up because of skyrocketing market prices and other problems. This collaboration problem arises due to lack of success in determining partnerships with related companies that are not appropriate and in company selection is also still manual and there are appropriate systems and criteria. Therefore a decision support system is needed in the selection of partners upon the proposed approval. One solution to this problem that is right is to make a decision system in the decision of the company's business partners so that the determination of cooperation in accordance with the right requirements. By using a Decision Support System (SPK) is expected to help the company in making decisions made by the right company partners in increasing the efficiency of the decision. PSI (Index Selection Preference Method) is a method for solving multi-decision making (MCDM) decisions. In the proposed method it is not necessary to submit among the attributes. There are no attributes required in computing that are involved in decision making. It is hoped that by using the PSI (Index Selection Preference) Method, it is necessary to establish a decision support system which can assist in the selection of corporate cooperation partners at the Grand Sirao Hotel.Keywords: Determination of Cooperation Partners, Decision Support System, PSI (Index Selection Preference)

scholarly journals Penerapan Metode Promethee Sebagai Sistem Pendukung Keputusan Pemeringkatan Siswa

2019 ◽  
Vol 3 (4) ◽  
pp. 381
Author(s):  
Ronal Watrianthos ◽  
Kusmanto Kusmanto ◽  
Elida F. S. Simanjorang ◽  
Muhammad Syaifullah ◽  
Ibnu Rasyid Munthe
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Preference Ranking ◽  
Sample Data ◽  
Long Time ◽  
Main Input ◽  
The Right ◽  
Selection Of

Students rank requires several considerations and criteria. Determination of the criteria must be prepared as much as possible because it is related to the selection of outstanding students. However, this ranking is considered less than optimal and requires a long time because it is processed manually by the school. The right Decision Support System is needed to produce quick and accurate ranking decisions. This study uses the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) as a Decision Support System. This method will use multi-criteria as the main input in decision making. PROMETHEE will be used to analyze criteria based on alternatives compared to rank according to students' grades and abilities. Based on the research sample data, the highest value was 0.739 for alternative A16. This shows that alternative A16 is the best alternative compared to other alternatives based on consideration of all criteria. The development of PROMETHEE with application-based Decision Support Systems is much better because it produces fast and accurate calculations.

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