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Abstract ABS-68

Forecasting Dengue Hemorrhagic Fever Incidents: A Machine Learning Approach Tien Rahayu Tulili(*a), Yohanes K. Windi (b), Bambang Cahyono(a), Damar Nurcahyono(a), Karyo Budi Utomo(a), Ahmad Rofiq Hakim(a) Corresponding Author: Tien Rahayu Tulili

Question & Answer to the Presentation

Question from Mr. Migunani Migunani 2020.11.18 13:56:52 Is it possible to consider the proximity of the river as a source and a factor for house sanitation? Thankyou... Replies: Reply from Ms. Tien Rahayu Tulili 2020.11.18 14:04:21 I think it is possible. Because dengue mosquite is likely to live in the ponds or any other similar places. However, getting this data is not easy because I think the health department doesnt has any information of the sanitation of each house.

Question from Ms. Dita Andansari 2020.11.18 13:06:14 In the modelling ohase, what software did you use for training and testing data? Replies: Reply from Ms. Tien Rahayu Tulili 2020.11.18 13:19:42 Hello Ms. Dita, Thank you for the question. currently, we only used simpler software, that is rapid miner. But in the future, we will use Python as it is a better language programming to be used in Machine Learning

Question from Mr. Dwi Cahyadi 2020.11.18 13:02:56 My name is Dwi Cahyadi... It is only a suggestion, maybe you can add more attributes to the inputs such as socio-economic factors such as the level of awareness of individu to keep their environment cleaner. Thank you.. Replies: Reply from Ms. Tien Rahayu Tulili 2020.11.18 13:16:30 Hello Mr. Dwi. Thank you for the suggestion. Yes, socio-economic might be a good factor to be included in the modelling, however getting the data such as the level of the awareness you mentioned is difficult to collect. It will needs much time.

Question from Ms. Maimunah Maimunah 2020.11.18 12:56:46 Miss. Tien Rahayu...my questions are : 1. how many dataset used in this research? 2. is there a reason that the method used deep learning,neural network, generalized linier model, gradient boast tree and KNN? Replies: Reply from Ms. Tien Rahayu Tulili 2020.11.18 13:11:48 Hello Ms. Maimunah. Thank you for your question. 1. The dataset was 468 records 2. Yes, because these methods has the ability to predict the numeric predictions as well as because of the size of the dataset.

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