Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation System
A business point is one of the most important factors as a place to support business activities. In determining the business location point, consideration must first be done carefully and not haphazardly wherever it is, but the location is determined based on careful consideration for reasons of sus...
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Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat
2024-06-01
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| Series: | Inspiration |
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| Online Access: | https://ojs.unitama.ac.id/index.php/inspiration/article/view/74 |
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| author | Wiwik Jayanti Yuyun Nasrullah |
| author_facet | Wiwik Jayanti Yuyun Nasrullah |
| author_sort | Wiwik Jayanti |
| collection | DOAJ |
| description | A business point is one of the most important factors as a place to support business activities. In determining the business location point, consideration must first be done carefully and not haphazardly wherever it is, but the location is determined based on careful consideration for reasons of sustainability in the success of the business now and in the future. The aim of this research is to build a system that can recommend determining business points by applying spatial data and implementing the AHP method and TOPSIS method for recommendations for determining housing business points in Mamuju Regency. The methods used in this research are the TOPSIS and AHP methods. Research results from the topsis method trial results with trial results from several alternatives which ranked first were Simboro sub-district with a percentage value of 0.67 and the results of the AHP method trials with several alternatives obtained the top ranking results were Binanga sub-district with a percentage of 0.11. The conclusion of this research is based on the results of a comparison of two methods between the TOPSIS method and the AHP method. The highest level of accuracy is the topsis method. |
| format | Article |
| id | doaj-art-4dd91a35bb7c42c18faf5165fc0f80f8 |
| institution | Kabale University |
| issn | 2088-6705 2621-5608 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat |
| record_format | Article |
| series | Inspiration |
| spelling | doaj-art-4dd91a35bb7c42c18faf5165fc0f80f82025-01-28T05:47:58ZengUniversitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian MasyarakatInspiration2088-67052621-56082024-06-01141162810.35585/inspir.v14i1.7474Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation SystemWiwik Jayanti0Yuyun1Nasrullah2Universitas HandayaniUniversitas HandayaniUniversitas HandayaniA business point is one of the most important factors as a place to support business activities. In determining the business location point, consideration must first be done carefully and not haphazardly wherever it is, but the location is determined based on careful consideration for reasons of sustainability in the success of the business now and in the future. The aim of this research is to build a system that can recommend determining business points by applying spatial data and implementing the AHP method and TOPSIS method for recommendations for determining housing business points in Mamuju Regency. The methods used in this research are the TOPSIS and AHP methods. Research results from the topsis method trial results with trial results from several alternatives which ranked first were Simboro sub-district with a percentage value of 0.67 and the results of the AHP method trials with several alternatives obtained the top ranking results were Binanga sub-district with a percentage of 0.11. The conclusion of this research is based on the results of a comparison of two methods between the TOPSIS method and the AHP method. The highest level of accuracy is the topsis method.https://ojs.unitama.ac.id/index.php/inspiration/article/view/74analysisahpbussiness pointspatialtopsis |
| spellingShingle | Wiwik Jayanti Yuyun Nasrullah Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation System Inspiration analysis ahp bussiness point spatial topsis |
| title | Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation System |
| title_full | Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation System |
| title_fullStr | Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation System |
| title_full_unstemmed | Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation System |
| title_short | Optimizing Housing Business Decisions with a Spatial Data-Based Point Recommendation System |
| title_sort | optimizing housing business decisions with a spatial data based point recommendation system |
| topic | analysis ahp bussiness point spatial topsis |
| url | https://ojs.unitama.ac.id/index.php/inspiration/article/view/74 |
| work_keys_str_mv | AT wiwikjayanti optimizinghousingbusinessdecisionswithaspatialdatabasedpointrecommendationsystem AT yuyun optimizinghousingbusinessdecisionswithaspatialdatabasedpointrecommendationsystem AT nasrullah optimizinghousingbusinessdecisionswithaspatialdatabasedpointrecommendationsystem |