Keterkaitan Harga Minyak Indonesia Dengan Harga  Minyak Dunia Melalui Koefisien Korelasi

Dalimunthe, Yusraida Khairani; Rosyidan, Cahaya

doi:10.25105/petro.v5i1.1980

Cited by 4 publications

(5 citation statements)

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“…In general, if the correlation is above 0.5 then there is a close relationship between the two variables. On the other hand, if it is below 0.5, there is no close relationship [10].…”

Section: Nonparametric Correlationmentioning

confidence: 98%

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Effect of Corona Virus Disease (Covid-19) Distribution, Number of Positive People on World Crude Oil Prices

Dalimunthe

Trisanti²

2022

Journal of Earth Energy Science, Engineering, and Technology

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The spread of Coronavirus Disease (COVID-19) in all parts of the world has an impact on various sectors such as the economy, especially the price of world crude oil. This study aims to analyze the influence of the spread of COVID-19 based on the number of positively infected people on world crude oil prices with statistical correlation analysis. The correlation coefficient results in the number -0.726, which means that the variable number of Corona positive people on the world crude oil price variable has a strong and significant relationship. With the increasing number of positive people infected with COVID-19, the world crude oil price actually decreases because the resulting relationship is in the opposite direction through the correlation coefficient, where a very significant decline in world crude oil prices due to the COVID-19 pandemic has affected the global economy.

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“…In general, if the correlation is above 0.5 then there is a close relationship between the two variables. On the other hand, if it is below 0.5, there is no close relationship [10].…”

Section: Nonparametric Correlationmentioning

confidence: 98%

“…Correlation serves to find out whether the existing data provide sufficient evidence that and how strong the relationship between variables is. The correlation coefficient is a coefficient that describes the level of closeness of a linear relationship between two or more variables [10].…”

Section: Correlationmentioning

confidence: 99%

Effect of Corona Virus Disease (Covid-19) Distribution, Number of Positive People on World Crude Oil Prices

Dalimunthe

Trisanti²

2022

Journal of Earth Energy Science, Engineering, and Technology

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“…Therefore, to convert pixel values to centimeters, the number of pixels representing the length of the fish is compared to the number of pixels representing the length of the ruler, and the result is multiplied by 10 cm (6). The correlation analysis test was carried out to see the relationship between fish length detected with the length of the actual fish by measuring the level of strength of the relationship between two variables by looking at the correlation coefficient [16]. The correlation and linear regression coefficient equation used is as follows:…”

Section: Fig 2 the Relationship Between Key Point Points To Determine...mentioning

confidence: 99%

Implementation of YOLOv8-Pose Model for Identification and Estimation of the Length of Skipjack and Tuna Like Species on the Website

Tanhir,

Iqbal

2024

BIO Web Conf.

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Skipjack and tuna species are crucial to Indonesia’s capture fisheries sector as they are the largest export commodities. These groups are diverse, and the identification and measurement of their length can be timeconsuming due to the abundance of caught fish and their morphological similarities. The objective of this study is to utilize an artificial intelligence algorithm to detect the species and estimate the length of four types of fish: bullet tuna (Auxis rochei), black skipjack (Euthynnus lineatus), mackerel tuna (Euthynnus affinis), and skipjack tuna (Katsuwonus pelamis). This algorithm will be implemented through a website. The YOLOv8-Pose deep learning model is employed to identify each fish species and estimate their length by determining keypoints. The dataset used consists of 148 images with rulers and 185 images of the four types of fish. Computer Vision Annotation Tool (CVAT) is used to assist in the labelling of the dataset, enabling the detection of boxes and keypoints. The labelled dataset is trained using Google Collaborator, resulting in the production of two model weights. Both models achieve an accuracy rate of 100%, as well as precision, recall, and an F1-score of 1. The coefficient value between the actual fish length and the detected fish length is 0.8649 or 86.5%, indicating a relationship between the two variables. To facilitate the identification, measurement, and storage of data in CSV format, a website is created using the Streamlit framework. In summary, the models accurately identify the limited number of datasets for Auxis rochei, Euthynnus lineatus, Euthynnus affinis, and Katsuwonus pelamis, and can provide estimates of fish length through the website.

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“…If the value of r <0, then there is a negative linear relationship. The following is an equation to find the value of the correlation coefficient according to equation ( 4) [19].…”

Section: Identification Of Meat Image Using Correlation Coefficientmentioning

confidence: 99%

Identification of Animal Meat as Halal Product Authentication Using the Box Counting Method

Ratri

Febrita²,

Ratri³

et al. 2023

Jartel

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Awareness and the need for authentication or assurance of the authenticity of halal foods is a challenge in many countries, especially in Muslim countries. So, many countries where the majority of the population is Muslim are quite strict in ensuring the sale and purchase of meat, especially in traditional markets. Therefore, this study aim is to find a system to identify the types of meat from the image, such as the initiation of the manufacture of practical technology for the authentication of halal products. In this study, the box-counting method was used to determine the fractal dimension value of the identified animal flesh image. The container counting method uses the texture of the animal’s meat that has unique characteristics of each type. The results of the identification of the animal meat obtained were 24 tests which were correctly identified from a total of 36 test data. This translates into a 66,67% success rate for the system.

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Keterkaitan Harga Minyak Indonesia Dengan Harga Minyak Dunia Melalui Koefisien Korelasi

Cited by 4 publications

References 0 publications

Effect of Corona Virus Disease (Covid-19) Distribution, Number of Positive People on World Crude Oil Prices

Effect of Corona Virus Disease (Covid-19) Distribution, Number of Positive People on World Crude Oil Prices

Implementation of YOLOv8-Pose Model for Identification and Estimation of the Length of Skipjack and Tuna Like Species on the Website

Identification of Animal Meat as Halal Product Authentication Using the Box Counting Method

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