The rapid development of online transportation services has encouraged intense competition between companies providing online transportation application services, so companies need to increase the existence of more convenient services. Efforts to understand consumer demand can be done through consumer behavior analysis. This research was conducted with the aim of examining the preferences of Ri…
Palm oil is a key plantation commodity for Indonesia’s economy. Climate change is one of the factors influencing palm oil production, and its impact on the industry is significant. The data used in this study is the palm oil production data from large private plantations in Riau province from January 2006 to December 2022. The methods used are SARIMA, multiplicative Exponential Smoothing Holt…
Infant Mortality Rate (IMR) in Indonesia remains a significant challenge in achieving the Sustainable Development Goals (SDGs), particularly target 3.2 related to reducing newborn and under-five mortality. Unequal access to healthcare services and socioeconomic conditions across different regions in Indonesia result in varying IMR, necessitating spatial regression analysis to model and identify…
A time series is a set of observations taken at regular intervals over a period of time, which can be used to analyze data over time. The results of the analysis on the time series data are used for the basis of forecasting. This study applies Trigonometric, Box-Cox Transformations, ARMA errors, Trend, and Seasonal Components (TBATS) forecasting models to forecast coal use in power plants from …
Sumatra Island is the third largest island in Indonesia. The potential for economic growth in various regencies/cities on this island is enormous, driven by leading sectors such as mining, agriculture, plantations, and tourism. However, from 2019 to 2023, the economic growth rate of regencies/cities in Sumatra experienced fluctuations, indicating that the community and government were not yet r…
Air temperature is a weather parameter that affects various aspects of life, particularly in Pekanbaru, which often experiences extreme weather conditions. The accuracy of air temperature predictions is crucial for mitigating negative impacts on agriculture, energy, and urban planning. This study aims to improve the accuracy of air temperature predictions in Pekanbaru by using a Categorical Boo…
Education is one of the factors that developing Human Resources and plays an important role in producing high-quality Human Resources. To achieve a high-quality of Human Resources, the equitable distribution of school is a matter that requires the government’s attention. The distribution of school can be observed through data analysis. Clustering is one of the data analysis methods that can b…
Survival analysis is a method for analyzing data related to time. The Weibull distribution is one of the distributions that is widely used to analyze life time. The methods used to estimate parameters are the Maximum Likelihood method and the Bayesian method. This research aims to compare the Maximum Likelihood method and the Bayesian method in estimating parameters for survival analysis in the…
The Mobile JKN application is an application made by the government to make it easier for the public to access services provided by the Social Security Administration Agency (BPJS). One way to see a summary of user reviews is to apply sentiment analysis. The research uses review data from the Google Play Store taken from December 7, 2023 – March 5, 2024. This study aims to classify positive a…
The Consumer Price Index (CPI) is an important indicator for measuring the level of inflation in a region. Accurate CPI forecasting is essential for economic planning, policy making and risk management. This research uses the Double Exponential Smoothing Holt (DES Holt) method with Damped parameters to overcome the problem of overforecasting or underforecasting. This research aims to predict th…
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…