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Predicting the Planting Time of Bird's Eye Chili Based on Environmental Conditions Using Internet of Things (IoT) and Neural Network Method
In Indonesian cuisine, Red Tabasco pepper holds a significant place as a commonly used ingredient. However, the cultivation
of this chili variety is not without its challenges, primarily due to the volatile nature of chili prices. Farmers often…
of this chili variety is not without its challenges, primarily due to the volatile nature of chili prices. Farmers often…
Artificial Neural Network Based Prediction Model Back Propagation on Blood Demand and Blood Supply
The balance between blood demand and supply at the Indonesian Red Cross Blood Transfusion Unit (UTD-PMI) is crucial.
This condition needs to be maintained to reduce unused or expired blood supplies. Despite the situation at UTD-PMI, where
the…
This condition needs to be maintained to reduce unused or expired blood supplies. Despite the situation at UTD-PMI, where
the…
Multi-Accent Speaker Detection Using Normalize Feature MFCC Neural Network Method
Speaker recognition is a field of research that continues to this day. Various methods have been developed to detect the human
voice with greater precision and accuracy. Research on human speech recognition that is quite challenging is accent…
voice with greater precision and accuracy. Research on human speech recognition that is quite challenging is accent…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
E-CityFarm: sustainable small-scale food production integrated fish and crop cultivation
E-CityFarm is an electronic system that can control the parameters needed to grow fish and plants integratedly. It can control temperature, water acidity, and utilizing the neural network method able to count the number and length of fishes also…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Metaheuristic optimization in neural network model for seasonal data
The use of metaheuristic optimization techniques in obtaining the optimal
weights of neural network model for the time series was the main part of this
research. The three optimization methods used as experiments were genetic
algorithm (GA),…
weights of neural network model for the time series was the main part of this
research. The three optimization methods used as experiments were genetic
algorithm (GA),…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Model development for pneumonia detection from chest radiograph using transfer learning
Accurate interpretation of chest radiographs outcome in epidemiological studies facilitates the process of correctly identifying chest-related or respiratory diseases. Despite the fact that radiological results have been used in the past and is being…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Network and layer experiment using convolutional neural network for content based image retrieval work
In this study, a test will be conducted to find out how the results of
experiments on the network and layer used on the convolutional neural
network algorithm. The performance and accuracy of the retrieval process method that was tested using the…
experiments on the network and layer used on the convolutional neural
network algorithm. The performance and accuracy of the retrieval process method that was tested using the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Low cost, high performance fuel cell energy conditioning system controlled by neural network
Fuel cells are an important option for the generation of renewable, efficient and environmentally friendly electricity. Although there are commercial applications in the industrial, residential and automotive sectors, it is not yet a mature…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
The design of a smart home controller based on ADALINE
This paper proposes a prototype of an improved smart home controller that implements a neural network-based algorithm for enabling the controller to make decisions and act based on the current condition. Unlike previous approaches, this design also…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Medium term load demand forecast of Kano zone using neural network algorithms
Electricity load forecasting refers to projection of future load requirements of an area or region or country through appropriate use of historical load data. One of several challenges faced by the Nigerian power distribution sectors is the…