Ditapis dengan
Perbandingan Kinerja Metode Smote Dan Random Oversampling Untuk Mengatasi Imb…
ABSTRACT Classification analysis can be applied in many cases, one of which is in the classification of household welfare status in poor and non-poor categories. If the data analyzed contains imbalanced data, it is necessary to solve the imbalanced data to avoid misclassification. If a classification is carried out, households that are actually poor tend to be classified into non-poor household…
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- Judul Seri
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- 1903155422
Perbandingan Metode Imputasi Untuk Mengatasi Data Hilang Pada Dataset Faktor-…
ABSTRACT Missing data contained in a dataset can affect the results of the analysis. This study uses a dataset of factors that affect world climate change from 1990 - 2020 which has missing data on all variables. This study aims to determine the best imputation method by comparing five imputation methods namely Mean Imputation, Median Imputation, linear interpolation, KNN Imputation, and Multi…
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- 1903114040
Analisis Pengendalian Kualitas Statistik Kemasan Produk Air Minum Dengan Meng…
ABSTRACT The competition in the bottle water business industry which is growing rapidly at this time has caused dringking water companies to improve the quality of their products. Defects experienced by drinking water companies when carryng out production occur due to raw materials, equipment, methods and by employess, causing the goods produced to be damage. Therefore, it is necessary to carr…
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- 1803110164
Algoritma Naive Bayes Berbasis Forward Dan Backward Selection Untuk Mempredik…
ABSTRACT This study discusses about the classification analysis of the status of home ownership credit at one of the banks in Pekanbaru City using the naïve Bayes algorithm. The purpose of this study is to compare the results of naïve Bayes classification with variable selection using forward and backward selection without variable selection. Variables from the selection results that are inc…
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- 1903155534
Peramalan Nilai Ekspor Migas Dan Non-Migas Di Indonesia Menggunakan Model Aut…
ABSTRACT The autoregressive fractional integrated moving average model is a development of the Autoregressive integrated moving average model which is used for data containing elements of long memory. This model uses differencing decimal numbers. In this study, the ARFIMA model is used for modeling data on the value of oil and gas and non-oil exports in Indonesia with a monthly period from 200…
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- 1803110038
Aplikasi Regresi Spline Truncated Pada Dampak Kebakaran Hutan Terhadap Pender…
ABSTRACT Forest fires are a crucial problem in Riau Province because they cause haze pollution that affects public activities and health. In 2019, based on data from the Health Office, victims of ARI disease have reached 281,626 people. Factors that are suspected to affect the number of people with ARI disease are nitrogen dioxide ( ), sulfur dioxide ( ), the number of hotspots, and the area o…
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- 1703122034
Analisis Korelasi Parsial Pada Pengaruh Angkatan Kerja Dan Upah Minimum Terha…
ABSTRACT The economic growth is not going well, it will cause various problems, one of which is the occurrence of unemployment. Unemployment includes the labor force who are looking for work or are preparing for a business. The existence of a working and unemployed labor force in a region depends on the minimum wage in that region. The higher the minimum wage in an area, the higher the number …
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- 1603136892
Pemodelan Seemingly Unrelated Regression Pada Indeks Pembangunan Gender Di Pr…
ABSTRACT The population in North Sumatra Province consists of 14.8 million people with a male and female sex ratio of 95.60%. The disparity between women and men in North Sumatra Province is still quite high in the health, education and employment sectors. This study aims to determine the Seemingly Unrelated Regression (SUR) model on the gender development index in North Sumatra Province and d…
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- 1803111512
Klasifikasi Angka Pencurian Di Riau Dengan Multivariate Adaptive Regression …
ABSTRACT One of the nonparametric regression methods that can be used for classification is Multivariate Adaptive Regression Splines (MARS) which is enhanced using bootstrap aggregating (bagging) with 50 replications. This method is applied to conventional crime data, namely cases of theft which can be seen based on crime rates in Riau Province in 2016-2020. The dependent variable used is …
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- 1803124092
Analisis Model Intervensi Pandemi Covid-19 Terhadap Jumlah Wisatawan Mancane…
ABSTRACT The Indonesian government has made a policy to reduce the spread of the coronavirus by restricting entry/exit to Indonesian territory. As a result, there is a decrease in the number of foreign tourist visits to Indonesia. The decrease in the data pattern was studied using the ARIMA Intervention method. The ARIMA Intervention method is used to see how big and how long duration entr…
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- 1803124460
Analisis Multidimensional Scaling Dan Cluster Fuzzy C-Means Pada Data Indika…
ABSTRACT The Covid-19 pandemic has disrupted various sectors of people's lives which have an impact on the level of people's welfare in an area. The value of PDRB, per capita expenditure, percentage of the poor, participation rate, and average schooling are some of the variables that can provide an overview of the welfare of the people in an area. Mapping and clustering can be done to determin…
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- 1803113124
Perbandingan Algoritma K-Medoids Dan Clara Dalam Analisis Clustering Kemiski…
ABSTRACT The Covid-19 pandemic entered Indonesia in March 2020, so the government imposed restrictions on people's movement in various regencies. The imposition of restrictions on people's movement will have an impact on the economy to the point of poverty. Poverty is influenced by several factors such as population, health, education, employment and economic factors. The poverty of a district…
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- 1803123910
Analisis Regresi Spasial Dan Pola Persentase Kesembuhan Tuberculosis Di Provi…
Spatial regression analysis is a statistical method that is useful for analyzing spatial data. Spatial analysis assumes the presence of spatial dependencies. One way to find out if there is a spatial dependency is to do a spatial autocorrelation test. Spatial autocorrelation is used to analyze the similarity of values at observation locations with neighboring locations on the same variable.
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- 1803115325
Pemodelan Kasus Penggunaan Alat Kontrasepsi Terhadap Fertilitas Di Indonesia …
Indonesia is a country with the fourth largest population in the world. The results of the population census in 2020 show the total population in Indonesia is 270.20 million people. The rapid population growth in Indonesia raises the problem of population density. The Government of the Republic of Indonesia through the National Family Planning Population Agency (BKKBN) has created a program. na…
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- 1803110443
Pemodelan Harga Minyak Dunia Dan Jumlah Uang Yang Beredar Terhadap Inflasi Di…
ABSTRACT The economic problem that is very common in every country is inflation. Inflation is an increase in the price of goods or services in general and continuously, which can affect the prices of other goods. Indonesia is an oil importing country because oil products from Indonesia do not meet people's demands. If there is an increase in world oil prices, it will have an impact on the Indo…
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- 1803110718
Market Basket Analysis Menggunakan Algoritma Apriori: Kasus Transaksi 212 Mar…
ABSTRACT Sales transaction data is generated every day at 212 Mart Soebrantas Pekanbaru, so that the collected data becomes a pile of data that is rarely used. The data can be used to define business strategies to increase sales. Data mining techniques that can analyze the data are association rules. The method of analysis that utilizes the association rule technique is known as Market Bas…
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- ix, 79 hlm.; ill.: 29 cm
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- 03 06. 121 (0016)
Pengelompokan Kabupaten/Kota Di Indonesia Berdasarkan Indikator Indeks Pemba…
ABSTRACT The Human Development Index (HDI) is a indicator in knowing the development of the quality of human life as a result of development in an area. Indonesia's HDI has always increased over the last twelve years, but the HDI of each regencies/city in Indonesia is very diverse. This shows that development in Indonesia has not been evenly distributed, so it is necessary to group regenci…
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- 1803124054
Implementasi Jaringan Saraf Konvolusi Terhadap Analisis Sentimen Tentang Ku…
ABSTRACT Study that was face-to-face made students has high social interaction. Since the COVID-19 virus infected Indonesia in 2020, study meetings have been changed to an online study system that uses the internet to stay connected during the activity. This study aims to see the impact of online course based on someone's opinion. One of the appropriate methods for this research is sentime…
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- 1703122411
Penerapanmetode Analisis Komponen Utama Dan Biplot Pada Indikator Kesejahte…
welfare of the people is something that every country wants to achieve, including Indonesia. This is certainly a special concern for the government to achieve people's welfare in each province. Many factors that affect people's welfare based on people's welfare indicators need an analysis that can see the relationship between two or more variables, namely multivariate analysis, one of whic…
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- 1803113039
Penerapan Fuzzy K-Nearest Neighbor Untuk Klasifikasi Pengangguran Terhadap P…
ABSTRACT The increasing population of Indonesia may cause unemployment problems. Unemployment may occur due to an imbalance in the number of workers with the number of jobs. Based on data from Statistics Agency, one of the cities facing the problem of unemployment in Indonesia is Batam, which is located in the Riau Islands Province. Batam has the highest unemployment rate in the Riau Islan…
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- 1803113091
Karya Umum 
Filsafat 
Agama 
Ilmu-ilmu Sosial 
Bahasa 
Ilmu-ilmu Murni 
Ilmu-ilmu Terapan 
Kesenian, Hiburan, dan Olahraga 
Kesusastraan 
Geografi dan Sejarah