Boarding House Selection using SAW Method
Hamid Mukhlis1, B. Ayshwarya2, Phong Thanh Nguyen3, Wahidah Hashim4, Hardono5, Siti Maesaroh6, Yona Desni Sagita7, Surmiasih8, Rido Sanjaya9, Oktafianto10, K. Shankar11, Oksana P. Denisova12, Andino Maseleno13
1Hamid Mukhlis, Universitas Aisyah Pringsewu, Lampung, Indonesia.
2B. Ayshwarya, Department of Computer Science, Kristu Jayanti College, Bangalore (Karnataka), India.
3Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University (HCMCOU), Vietnam.
4Wahidah Hashim, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
5Hardono, Universitas Aisyah Pringsewu, Lampung, Indonesia.
6Siti Maesaroh, Universitas Aisyah Pringsewu, Lampung, Indonesia.
7Yona Desni Sagita, Universitas Aisyah Pringsewu, Lampung, Indonesia.
8Surmiasih, Universitas Aisyah Pringsewu, Lampung, Indonesia.
9Rido Sanjaya, Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia.
10Oktafianto, Institute Teknologi Sumatera, Lampung, Indonesia.
11K. Shankar, School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, India.
12Oksana P. Denisova, Togliatti State University, Russia.
13Andino Maseleno, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1500-1505 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12750782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1275.0782S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Location, Analysis Criteria, Decision Support System, Simple Additive Weighting.
Scope of the Article: Data Mining Methods, Techniques, and Tools