ECG signal recordings are used to diagnose various heart conditions. Diagnosis of heart abnormalities in ECG signal recordings is done by classifying the heartbeat rhythm into 5 classes, namely non…
Recorded electrocardogram (ECG) signals can show normal or abnormal heartbeat patterns. One method to detect heart abnormalities in ECG signals is to classify heartbeats into five categories, namel…
Classification on imbalanced data can affect the accuracy value of the classification and tends to ignore the minority class so that the prediction results will tend to the category. To overcome th…
In electrocardiogram (ECG) signal recordings, heartbeat rhythms can be normal and abnormal. One way to identify heart abnormalities in ECG signals is by classifying heartbeats into five classes, na…
The spread of hoax news has a negative impact on society and requires early detection of hoax news through classification. This research combines augmentation and classification methods. CNN is use…
Healthy air plays a very important role in the survival of life, whereas polluted air will have a negative impact on living things. Therefore, it is necessary to classify air quality. The aim of th…
This study aimed to develop a model and identify the factors influencing student admission at the “M” learning center in Palembang City. The research focused on the selection for admission to p…
Indonesia is the 5th largest coffee producing country in the world after Brazil, Vietnam, Columbia, and Ethiopia with a total contribution of 5%. Coffee production results can depend on the charact…
This study aims to optimize the location of Feeder Musi Emas Stop Points on the Stadion Kamboja-Bukit Siguntang Route in Palembang City using the Covering Based Problem (CBP) model formulation, nam…
The purpose of this research is to design and optimize a selfish user Cloud Radio Access Network (C-RAN) model based on demand response (DR) and heterogeneous incentives (HI) with a stone-geary uti…
Determining the optimal location for emergency units in Palembang City is crucial in improving accessibility and the quality of healthcare services. This study employs two multi-criteria decision-m…
This research discusses the Set Covering Problem (SCP) in determining the optimal location of temporary waste disposal sites (TWDS) in Semambu Island Village using the Steepest Ascent Hill Climbing…
The objective of this research is to enhance the profitability of Internet Service Providers (ISPs) by developing a financing scheme for internet services that employs three financing schemes: a fl…
This research aims to design and optimize Cloud Radio Access Network (C-RAN) model with selfish user based on demand response using isoelastic utility function and bundling scheme by considering th…
This study aims to formulate an improved C-RAN model for three financing schemes with a fair network approach based on demand response and heterogeneous incentives using quasi-linear utility functi…
This research discusses the comparison of weather elements in 2021 and 2022 in three coffee producing areas, namely Dempo Tengah Sub-district, Tanjung Sakti Pumi Sub-district and Muara Pinang Sub-d…
This study aims to determine the optimal location of the stopping point of the Feeder LRT Musi Emas Route LRT DJKA Station – Plaju Terminal (Corridor 5) by formulating the Set Covering Problem (S…
The blood vessels in the retina are a system of blood vessels that function as deliverers of oxygen and nutrients. The blood vessels of the retina are divided into two parts, namely arteries and ve…
Automatic classification of breast cancer is done by utilizing ultrasound images (USG). Automatic early detection of breast cancer can use several CNN architectures such as AlexNet, VGG-16 and Xcep…
Retinal blood vessels are categorized into arteries and veins. Arteries and veins have distinct functions and characteristics. Separation of arteries and veins in retinal images by semantic segment…
Cataract, diabetic retinopathy (DR), and glaucoma are eye diseases that are at risk of blindness. Early detection of these diseases can be done by utilising deep learning methods. This research pro…
Hoax refers to false or misleading information. The spread of hoaxes can have a negative impact on society, such as disrupting stability and order. Automatic classification can help early detection…
Training of Trainers (TOT) is one of the programs implemented by the Badan Saksi Pemilu Nasional (BSPN) PDI-Perjuangan to carry out a series of activities to recruit, select, train, assign and fost…
Classification is one of the data processing models to group data according to various categories. This study aims to classify the level of food consumption per capita per week using the K-Nearest …
Classification is the process of grouping objects based on similarities and differences. In this study, a multi-objective classification model was developed with two objective functions, namely fun…
Eye diseases such as cataracts, diabetic retinopathy (DR), glaucoma are conditions that cause visual impairment to blindness. Automatic early detection can be done by classifying eye images, one of…
Brain tumors are abnormal tissue growths within the brain that can lead to death. The components of a brain tumor can be classified into background, enhancing tumor, peritumoral edema, and non-enha…
Diabetic retinopathy is an eye disease caused by high glucose levels and high blood pressure that can lead to blindness. One of the signs of diabetic retinopathy is the presence of exudate in the r…
Diabetic retinopathy (DR) is an eye disease caused by high glucose and blood pressure levels that can lead to blindness. DR can be detected through the presence of exudates, which are white or yell…
Diabetic retinopathy (DR) is an eye disease caused by high glucose and blood pressure levels that can lead to blindness. DR can be detected through the presence of exudates, which are white or yell…