Penerapan seemingly unrelated regression pada random effect model terhadap fa…

Poverty is a serious problem in national development that has an impact on welfare in Indonesia. This condition occurs when individuals or groups cannot meet basic needs, both food and non-food measured by the poverty line. The purpose of this study was to analyze the factors that influence poverty in Riau Province, using Riau Province People's Welfare Statistics data from 2019 to 2023. The met…

Pemodelan regresi nonparametrik spline truncated untuk faktor-faktor penentu …

Education has become a national priority in preparing for the Golden Generation 2045 through the implementation of a 12-year compulsory education program and substantial budget allocations. However, the issue of school dropout remains a significant challenge, particularly in North Sumatra Province, which recorded the highest number of high school dropouts nationally in 2023, totaling 1263 stude…

Komparasi metode analisis diskriminan dan regresi logistik dalam klasifikasi …

hypertension, commonly referred to as high blood pressure, is a chronic condition characterized by elevated pressure within the arterial walls. An individual is considered to have hypertension when their resting blood pressure exceeds 140/90 mmHg, confirmed by two separate measurements taken five minutes apart. This study aims to identify the most effective method for classifying hypertension c…

Penerapan model output statistics downscaling berbasis support vector machine…

Edisi

-

ISBN/ISSN

-

Deskripsi Fisik

-

Judul Seri

-

No. Panggil

2103113595

Perbandingan metode penentuan nilai tetapan ridge-k pada regresi ridge untuk…

Indonesia is the world's largest palm oil exporter in 2023. Palm oil produces two types of oil, namely crude palm oil (CPO) and palm kernel oil. However, palm oil exports are still dominated by raw products with low selling value. Therefore, it is important to identify the factors that influence the value of CPO exports to determine the causes of the rise and fall of Indonesia's CPO export valu…

Penerapan metode long short term memory untuk prediksi temperatur di kota pek…

The increase in temperature has reached a critical level, posing significant threats to human life and the environment. This issue serves as a serious warning, highlighting the urgency of raising awareness about the risks of global warming and climate change. One mitigation effort that can be implemented is the accurate prediction of air temperature to support decision-making and climate adapta…

Metode density-based spatial clustering applications with noise dan hierarchi…

Stock investment is one of the financial instruments that plays an important role in encouraging economic growth. The rapid development of the capital market makes investors faced with the challenge of identifying patterns and groups of stocks that are suitable for their investment strategies. One approach that can be used to understand the characteristics of stocks is through clustering analys…

Analisis Regresi Robust Pada Faktor-Faktor Yang Mempengaruhi Utang Luar Neger…

Indonesia’s foreign debt has continued to increase each year due to limited revenue and high government expenditures. Various factors influence the fluctuation in Indonesia’s foreign debt, including inflation, exports, imports, the exchange rate, and BI rate. The data for this study were obtained from official sources, namely the websites of the Ministry of Finance, Central Bureau of Statis…

Perbandingan metode kalman smoothing dan SEASONAL Trend decomposition using …

Missing data refers to a condition where part of the dataset is unavailable due to unrecorded information during the data collection process. Missing data problems must be addressed because they can affect the accuracy of the analysis. This study aims to evaluate the performance of univariate imputation methods, namely Kalman Smoothing and STL Decomposition, on time series data obtained from a …

Pemodelan angka pengangguran di indonesia Menggunakan metode geographically …

Unemployment is an important indicator in measuring the level of social welfare and development inequality between regions. Unemployment problems in Indonesia are caused by various factors that differ between regions. This study aims to model the unemployment rate and identify factors that affect the unemployment rate in Indonesia in 2023.

Pemodelan rata-rata lama sekolah di indonesia menggunakan regresi nonparametr…

Indonesia faces challenges in improving the quality of education, one of which is indicated by variations in the average length of schooling between regions. This study aims to analyze the factors that influence the average length of schooling in Indonesia using a nonparametric mixed spline and kernel regression method. This approach is used to capture linear, nonlinear, and local relationships…

Model arch garch berdasarkan optimasi Kalman filter untuk peramalan inflasi k…

Inflation is one of the important indicators in assessing the economic stability of a region. Fluctuating inflation movements require a forecasting method that can model the nature of its volatility. This study aims to forecast inflation in Pekanbaru City using the ARCH GARCH model which is optimized with the Kalman Filter method. The research analysis begins with building the best ARIMA model.…

Penerapan Metode Generalized Ridge Regression Untuk Mengatasi Multikolinearit…

Multiple linear regression analysis is a technique in statistical models that is used to analyze the influence of two or more independent variables on the dependent variable. One of the important assumptions in multiple linear regression analysis is the absence of multicollinearity in the regression model. In this research, the generalized ridge regression method is applied to overcome the prob…

Implementasi Jaringan Saraf Tiruan Extreme Learning Machine Untuk Memprediksi…

Penulis tidak melampirkan file Abstrak

Perbandingan Metode Regresi Logistik Biner Dan Algoritma C5.0 Untuk Mengklasi…

The classification of rural and urban areas has become an important aspect in development planning and policy-making. The aim of this study is to identify the best classification method and determine which variables significantly influence the classification of rural and urban villages in Sungai Penuh City. Binary logistic regression is used to identify the factors affecting area classification…

Evaluasi Teknik Adaptive Synthetic Sampling (Adasyn) Untuk Klasifikasi Rumah …

Challenges in classification modeling often arise due to imbalanced data distribution. Imbalance occurs when there one class has more than the other. Therefore, it needs to be overcome by the resampling method, namely by applying adaptive synthetic sampling (ADASYN). To evaluate the effectiveness of ADASYN, research will be conducted with logistic regression classification for Riau Province hou…

Peramalan Curah Hujan Bulanan Dengan Tipe Iklim Berdasarkan Klasifikasi Iklim…

A time series is defined as a collection of quantitative observations arranged chronologically. Proper understanding of time series is a major problem in various fields. Currently, models have been developed that are quite good for making predictions. Among them are prophet and Neural Network Autoregressive (NNETAR). Prophet is a time series model developed by Sean J. Taylor and Benjamin Letham…

Metode Choice Based Conjoint Untuk Menelaah Preferensi Mahasiswa Universitas …

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…

Pendekatan Sarima Dan Exponential Smoothing Holt-Winters Untuk Peramalan Juml…

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…

Perbandingan Fungsi Pembobot Kernel Pada Geographically Weighted Negative Bin…

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…