The public health condition on Sumatra Island and the surrounding small islands, such as the Riau Islands Province and the Bangka Belitung Islands, shows a variety of health situations. This diversity indicates that development in Indonesia has not been evenly distributed. Therefore, it is necessary to group districts/cities on the island of Sumatra according to public health indicators, so tha…
Information on rainfall is needed for Indonesia, which is an agricultural country. Therefore, an accurate rainfall forecasting model is needed by utilizing information from the global circulation model (GCM) output. However, the information provided by GCMs is still global in scale and has low resolution for local scale forecasts, it can be utilized using statistical downscaling techniques. Thi…
Soil is one of the factors that most influences oil palm productivity, with water also playing an important role in soil conditions. This study aims to measure the correlation between water deficit and soil nutrient content in oil palm plantations. This correlation is calculated geographically between soil sampling unit variables and water deficit at the same point or location. Due to differenc…
CART (Classification and Regression Trees) is a classification method developed for determining decision trees in analyzing the relationship between dependent variables and independent variables. This final project discusses the application of CART to the classification of open unemployment in Riau Province in 2023. Data was obtained from the National Employment Survey (Sakernas) from Badan Pus…
Dengue fever is a disease that occurs due to transmission from the Aedes aegypti mosquito. Dengue is a disease that is quite alarming, especially in tropical countries. The influencing factors are climate, such as rainfall, temperature, surface water humidity and other factors. The mortality rate due to DHF needs to be reduced, so this study was conducted. The data used in this study is the dat…
Weather is an important factor in human life. Fluctuating weather changes can have an impact on extreme weather conditions or climate change over a relatively long period of time. The importance of weather predictions for decision making and preventive actions to reduce risks related to weather changes in various aspects of life. This research aims to obtain the best predictions for weather par…
Poverty is a problem that developing countries continue to address, one of which is Indonesia. Poverty in Indonesia can be influenced by several factors, so research needs to be carried out to find out the factors that influence poverty. This research aims to model the percentage of poor people in Indonesia and determine the factors that influence poverty in Indonesia in 2020-2022 using the met…
Indonesia is a country with high economic potential. Along with the increasing population in Indonesia, people are setting aside savings for the future. Savings set aside that is often done is investment in mutual funds. Investors began forecasting to find out the prediction of the net asset value (NAV) of the Mutual Fund industry in the future. This research was conducted by comparing the Mult…
ABSTRAK Penyakit gagal ginjal adalah kondisi medis yang serius dengan dampak yang signifikan terhadap kesehatan dan uji hidup pasien. Uji hidup digunakan untuk menganalisis ketahanan hidup pasien gagal ginjal. Penelitian ini menggunakan data rekam medis di RSUD Arifin Achmad Provinsi Riau dimulai Januari tahun 2020 hingga November 2023. Penelitian ini menggunakan metode Kaplan-Meier untuk meng…
Inflation is one of the indicators used to measure the success of a country's economy. Inflation has great importance in economic and financial management, inflation forecasting helps in economic planning, monetary policy making, business management, and investment decision making. Inflation in Pekanbaru City in 2021 is the lowest inflation in Indonesia. This study uses data on Inflation in Pek…
Classification analysis is a supervised learning method that can be applied to classify greenhouse gas emission levels. Greenhouse gas emissions need to be monitored regularly so that relevant agencies can plan programs to prevent and overcome the impacts of climate change. In classification analysis, increasing model performance is related to the number of features/variables used, so in its ap…
The heatwave phenomenon has hit several countries in various parts of the world, caused by climate change. Climate change leads to greenhouse gas emissions increasing beyond the limits set by the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report Global Warming Potentials. This final project uses a combination of Neighborhood Component Analysis (NCA) and Support Vector Ma…
ABSTRACT The rise in global greenhouse gas emissions is a serious problem as it can lead to global warming that affects many areas of life, such as droughts and rising seawater. Knowing the classification of future greenhouse gas emissions levels can help in policy planning to minimize the impact. In this study, the classification of greenhouse gas emission levels was done using the lightGBM m…
Forecasting inflation is an important aspect of managing a country's monetary and fiscal policies. This study forecasts inflation based on non-oil and gas export values using the single input transfer function method. The time series data to be analysed are Indonesian inflation data as the output series and non-oil and gas export value data as the input series. Based on the patterns of the obta…
Indonesia is a country with a tropical climate that has rainy and dry seasons, so it requires efforts to cope with climate change against the handling of agricultural crops, especially palm coconut. Weather forecast modeling could use data from the Global Circulation Model (GCM). Statistical downscaling is a method of adapting global circulation models to variable data on a local scale. The pro…
Data preprocessing is important before applying machine learning algorithms on data to optimize classification performance. One of the stages is data normalization which aims to convert data into an equivalent range of values. In this research, normalization is applied to Pekanbaru City rainfall data from 2019 to 2023. The purpose of this research is to compare several data normalization techni…
Cooking oil is one of the basic needs of Indonesian people in order to fulfill their daily food needs. However, in 2022, Indonesia will experience a shortage of cooking oil stocks, resulting in high cooking oil prices on the market. This phenomenon also occurs in the city of Pekanbaru, so this research aims to determine the supervision of the Pekanbaru City Department of trade and Industry in d…
ABSTRACT Infant mortality is one of the commonly used mortality indicators in Indonesia. Cases of infant mortality reflect the level of social welfare and health status of a nation for the realization of health development in a country. One of the ways to reveal the high number of infant mortality cases is by knowing the most significant factors that cause infant mortality. The results obtaine…
Life expectancy is an indicator in measuring government performance in improving the level of health of a region. While life expectancy on Sumatra Island has variable values, the quality of public health is less uniform. These variations can be caused by several factors such as education, health services, and economic conditions. Therefore, the government needs to provide further treatment on S…
Unemployment is a situation where someone is not working or is trying to find a job but unable to find work. The spread of unemployment in Indonesia has different characteristics in each region, so it is necessary to classify the unemployed so that each government policy program can be carried out in a more focused and directed manner. This study discusses cluster analysis of unemployment using…