Ditapis dengan
Perbandingan Metode Seleksi Fitur Dalam Klasifikasi Data Emisi Gas Rumah Kaca
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…
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- 2003111098
Analisis Kinerja Neighborhood Component Analysis Terhadap Support Vector Mach…
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…
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- 2003110394
Penerapan Algoritma Lightgbm Dengan Optimisasi Hiperparameter Pada Klasifikas…
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…
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- 2003111099
Penerapan Metode Fungsi Transfer Single Input Untuk Peramalan Inflasi Berdasa…
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…
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- 1903111526
Pemodelan Peramalan Curah Hujan Menggunakan Statistical Downscaling Dan Princ…
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…
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- 2003134740
Perbandingan Teknik Normalisasi Data Pada Klasifikasi Curah Hujan Kota Pekanbaru
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…
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- 2003113648
Pengawasan Dinas Perdagangan Dan Perindsutrian Kota Pekanbaru Dalam Mendistri…
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…
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- 1801110176
Pemodelan Jumlah Kasus Kematian Bayi Di Kabupaten Kuantan Singingi Menggunaka…
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…
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- 1803124165
PEMODELAN UMUR HARAPAN HIDUP PENDUDUK DI PULAU SUMATRA MENGGUNAKAN ANALISIS M…
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…
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- 1903155231
ANALISIS CLUSTER PENGANGGURAN DI INDONESIA MENGGUNAKANMETODE SELF ORGANIZING MAP
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…
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- 1903110776
Perbandingan Klasifikasi Status Gizi Balita Di Indonesiamenggunakan Jaringan …
Children under the age of five are the most vulnerable demographic in terms of nutrition and health within a community. The health of toddlers is widely assessed based on their nutritional status, determined through a comparison of weight and length/height measurements using Child Anthropometry standards. This study aims to predict the nutritional status of toddlers in cities and districts acro…
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- 1903113257
Analisis Faktor Yang Memengaruhi Minat Mahasiswa Universitas Riau Mengikuti P…
Merdeka Belajar Kampus Merdeka (MBKM) is a national university program aimed at developing student competencies, consisting of various types of programs such as internships/work placements, independent studies/projects, campus teaching, student exchanges, research, entrepreneurial activities, humanitarian projects, and village development. MBKM serves as an important platform for students to de…
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- 903110354
Penerapanmetode K-Means Consensus Clustering Pada Pengelompokkan Gen Acacia A…
ABSTRACT Indonesia is one of the top most biodiverse countries, providing an advantage for the development of superior seedlings to maximize the production of raw materials for industry, including the pulp and paper business. The most widely used trees in Indonesia to manufacture pulp and paper is from the Acacia genus, which comprised of many species including Acacia auriculiformis, which is …
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- 1903114006
Penerapan Structural Equation Modeling Partial Least Square Pada Perbandingan…
Banking is an institution that plays a role in increasing economic development and also increasing equitable development. People who are service users will be more selective in choosing banks so that many banks strive to be superior and more satisfying than other banks. Customer satisfaction can be seen from the role of Customer Service and Digital Customer Service. Customer Service (CS) is all…
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- 1903113620
Menentukan Preferensi Pelanggan Dalam Memilih Marketplace Menggunakan Metode …
Online shopping transactions in Indonesia has grown over the last ten years by 17% and the total number of e-commerce businesses has reached 26.2 million units. The growth of e-commerce creates competition so that it requires companies to maintain their existence by understanding consumer psychology, namely perceptions, motivations, and attitudes that drive buying decisions. This study aims…
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- Deskripsi Fisik
- xiii, 35 hlm.: ill.: 29 cm
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- No. Panggil
- 03 06. 122 (0003)
Peramalan Kemunculan Titik Panas di Indonesia Menggunakan Analisis Intervensi…
The forest area in Indonesia is decreasing, caused by forest fires either intentionally through land clearing or unintentionally due to climate change. Hotspots are an indicator used in detecting fires on land. The purpose of this study is to predict the number of hotspots in Indonesia in the future using intervention analysis. The intervention method is used to examine data that has increased …
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- 1903155884
Pemodelan Regresi Kernel Dan Spline Pada Faktor Yang Mempengaruhi Tingkat Ke…
Indonesia is one of the countries that is still struggling to overcome problems related to poverty. Based on official statistical news, in March 2020 the percentage of the poor population was recorded at 9.78%, which has increased periodically until September 2020 at 10.19% and in March 2021 at 10.14%, which is around 27.54 million. Although at the end of March 2022 the percentage of poor peopl…
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- 1903111611
Penerapan Metode Chaid Dan Algoritma C4.5 Untuk Mengkl Asifika Si Pasien Ter…
Tuberculosis (TB) is a chronic infectious disease caused byMycobacterium tuberculosis. Tuberculosis is the highest cause of death in the world and is experienced by many people. This research discusses the application of the CHAID method and the C4.5 algorithm to classify someone diagnosed as positive for TB. The data used was obtained from patients diagnosed with TB at Arifin Achmad Regional H…
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- 1903111534
Perbandingan Algoritma Random Forest Dan Decision Tree Untuk Klasifikasi Ruma…
ABSTRACT Poverty is a condition of a person's inability to meet the standard of basic necessities of life. Poverty is one of the indicators of people's welfare that determines the condition of welfare and the success of development in a country. The study aims to classify poor households in Pekanbaru City in 2020 with a total of 797 households. The classification algorithms used are random for…
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- 190315654
Pengembangan Model Prediksi Iklim Di Asean Berbasis Artificial Neural Network…
ABSTRACT Climate change is a natural phenomenon caused by global warming. The Study on The Indicators of The Sustainable Development Goals (SDGs) on goal 13 has discussed climate change prevention by taking immediate action to combat climate change and its impacts. The impact of climate change is that it can cause natural disasters such as floods, thus counter measures are needed to overcome i…
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- 1803110299
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