Yovi Pratama
StatisticsDeep learningMachine learningSupport vector machinePosition (vector)Unified Modeling LanguageArtificial intelligenceNatural rubberPattern recognitionFace (geometry)RSSValue (economics)Indoor positioning systemToolboxSoftwareTokenization (data security)Fuzzy methodPlant diseaseFacial recognition systemMathematicsField (computer science)Feature (machine learning)Computer scienceArtificial neural networkTraining setAndroid (operating system)Fuzzy logicDatabaseBusiness processEstimationProcess (computing)
27Publications
3H-index
17Citations
Publications 29
Newest
Detection of the number of objects contained in an image can be used, among others, to detect objects in the fetal ultrasound image, the number of vehicles, the number of visitors, the number of passengers, counting the number of audiences, counting the number of oil palm bunches in each cubic truck and many other types of applications. The research was conducted automatically with a research system using the Gradation Contour method. The selection of this method is the implementation of a novel...
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#1Dodo Zaenal Abidin (Sriwijaya University)H-Index: 2
#2Siti Nurmaini (Sriwijaya University)H-Index: 12
Last. Yovi PratamaH-Index: 3
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The positioning system research strongly supports the development of location-based services used by related business organizations. However, location-based services with user experience still have many obstacles to overcome, including how to maintain a high level of position accuracy. From the literature studies reviewed, it is necessary to develop an indoor positioning system using fingerprinting based on Received Signal Strength (RSS). So far, the testing of the indoor positioning system has ...
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#1Dodo Zaenal Abidin (Sriwijaya University)H-Index: 2
#2Siti Nurmaini (Sriwijaya University)H-Index: 12
Last. Yovi PratamaH-Index: 3
view all 6 authors...
In this study, we prepared unstructured raw RSSI (Received Signal Strength Indication) data to prepare it for use in machine learning predictive modeling. RSSI data preparation is very important in predictive modeling machine learning projects, such as classification and regression, so that the algorithm can model it based on the right conditions, because the data has a more specific part but does not necessarily affect the algorithm performance. RSSI data were collected from the Dinamika Bangsa...
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#2Errissya RasywirH-Index: 2
Last. Pareza Alam JusiaH-Index: 3
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This study offers an attendance system that can be run with the Global Positioning System (GPS) feature to automatically check the location of the face owner. Recently, the YOLO algorithm is the world's most popular method of facial recognition. Currently the You Only Look Once (YOLO) algorithm toolbox has been provided in various programming language platforms for use. The system we offer is also able to check the position or whereabouts of objects using Global Positioning System (GPS) technolo...
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Last. Yovi PratamaH-Index: 3
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Rubber plants can be attacked by various diseases originating from fungi, pests, animals and even cancer cells. A method that is able to diagnose rubber disease is needed so that it is hoped that it can help farmers detect symptoms early so that the productivity of rubber plantations can increase. This study developed an analysis of the results of the diagnosis of rubber plant disease using the Mamdany Fuzzy method. The choice of this method departs from the fuzzy mamdany research which states t...
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#3Muhammad IsmailH-Index: 2
The financial management of mosques with the use of technology can make financial data more organized, filed neatly and transparently. Moreover, financial reports are data that must be accounted for in order to be trusted by the public. However, it is necessary to know how good a financial management system is. By using the USE Questionnaire we can find out that an application can still run in accordance with applicable business processes without changing the data flow and some rules and reports...
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#1Errissya RasywirH-Index: 2
#2Rudolf SinagaH-Index: 1
Last. Yovi PratamaH-Index: 3
view all 3 authors...
The limited knowledge of oil palm farmers on oil palm pests and diseases is related to oil palm productivity. Jambi Province is one of the largest oil palm producers on the island of Sumatra. Usually, to find out the types of pests and diseases in oil palm in the field, farmers need knowledge like that of experts about oil palm diseases. However, the limitation of facilities and capabilities becomes an obstacle. This study offers an expert system to analyze oil palm disease using deep learning. ...
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Last. Yovi PratamaH-Index: 3
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Like most plantation plants in general, rubber can be attacked by various diseases originating from fungi, pests, animals and even cancer cells. For that we need a method capable of diagnosing rubber disease. In previous research related to the diagnosis of plant diseases, among others, using the Dempster Shafer method, the Certainty factor method and forward chaining. This study developed an analysis of the results of the diagnosis of rubber plant disease using the Mamdany Fuzzy method. The cho...
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#1Errissya RasywirH-Index: 2
#2Rudolf SinagaH-Index: 1
Last. Yovi PratamaH-Index: 3
view all 3 authors...
Jambi Province is a producer of palm oil as a mainstay of commodities. However, the limited insight of farmers in Jambi to oil palm pests and diseases affects oil palm productivity. Meanwhile, knowing the types of pests and diseases in oil palm requires an expert, but access restrictions are a problem. This study offers a diagnosis of oil palm disease using the most popular concept in the field of artificial intelligence today. This method is deep learning. Various recent studies using CNN, say ...
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#2Errissya RasywirH-Index: 2
Last. Pareza Alam JusiaH-Index: 3
view all 4 authors...
Facial recognition work combined with the facial owner's position estimation feature can be utilized in various everyday applications such as face attendance with position detection. Based on this, this study offers a system testing experiment that can be run with facial recognition features and an Indoor Positioning System (IPS) to automatically check the location of the owner of the face. Recently, deep learning algorithms are the most popular method in the world of artificial intelligence. Cu...
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