Fuzzy Logic Prediction of Dengue Hemorrhagic Fever Distribution in Pringsewu Region
Muhamad Muslihudin1, Siti Mukodimah2, Erma Dwiyani3, Trisnawati4, Wahidah Hashim5, Andino Maseleno6
1Muhamad Muslihudin, Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia. E-mail:
2Siti Mukodimah, Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia.
3Erma Dwiyana, Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia.
4Trisnawati, Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia.
5Wahidah Hashim, Department of Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
6Andino Maseleno, Department of Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Manuscript received on 20 June 2019 | Revised Manuscript received on 27 June 2019 | Manuscript Published on 22 June 2019 | PP: 605-612 | Volume-8 Issue-8S2 June 2019 | Retrieval Number: H11020688S219/19©BEIESP
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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: Dengue Hemorrhagic Fever (DHF) has been a public health problem in Indonesia for the past 47 years. Dengue hemorrhagic fever or dengue fever is an infection caused by the dengue virus, which is transmitted by the bite of the female Aedes aegipty or female Aedes albopictus. This study was conducted to predict the distributin of dengue hemorrhagic fever in pringsewu areas using fuzzy logic method. Fuzzy logic method was selected because it is able to select the best alternative from all available alternatives. In this study seven criteria were used as reference in predicting the distribution of dengue hemorrhagic fever in pre-pregnancy area such criteria as Population Density, air humidity, water sources, health facilities, sanitation, sewerage and trash cans. In addition to the criteria also used the weighting criteria to determine the best alternative and from the calculation obtained the highest score found in column d which means that the area or village with Indication as in column d was an area prone to the distribution of dengue fever, while the lowest score was in the column y which means that the area with Indication column y was the area with the least chance of risk of dengue hemorrhagic fever distribution.
Keywords: Prediction, Dengue Hemorrhagic Fever, Fuzzy Logic, Pringsewu Area.
Scope of the Article: Fuzzy Logics