Yasi Dani - Academia.edu (original) (raw)

Papers by Yasi Dani

Research paper thumbnail of Two-Layer Shallow Water Equations with Momentum Conservative Scheme for Wave Propagation Simulation

Engineering, Mathematics and Computer Science Journal (EMACS), Jan 31, 2024

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Research paper thumbnail of Comparison of Iris dataset classification with Gaussian naïve Bayes and decision tree algorithms

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, Apr 1, 2024

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Research paper thumbnail of Similarity search on Southeast Asian food ingredients using association rule mining

AIP Conference Proceedings, Dec 31, 2022

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Research paper thumbnail of Detecting Outliers Using Modified Recursive PCA Algorithm For Dynamic Streaming Data

Mendel ..., Dec 19, 2023

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Research paper thumbnail of Effect of Water Temperature on Water Quality Variables in Urban Catfish Cultivation Based on Association Rule Mining

2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)

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Research paper thumbnail of A Simple Dataset of Water Quality on Aquaponic Fish Ponds Based on an Internet of Things Measurement Device

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Research paper thumbnail of Classification of Predicting Customer Ad Clicks Using Logistic Regression and k-Nearest Neighbors

JOIV : International Journal on Informatics Visualization

Nowadays, conventional marketing techniques have changed to online (digital) marketing techniques... more Nowadays, conventional marketing techniques have changed to online (digital) marketing techniques requiring internet access. Online marketing techniques have many advantages, especially in terms of cost efficiency and fast information delivery to the public. Therefore, many companies are interested in online marketing and advertising on social media platforms and websites. However, one of the challenges for companies in online marketing is determining the right target consumers since if they target consumers who are not interested in buying the product, the advertising costs will be high. One use of online advertising is clicks on ads which is a marketing measurement of how many users click on the online ad. Thus, companies need a click prediction system to know the right target consumers. And different types of advertisers and search engines rely on modeling to predict ad clicks accurately. This paper constructs the customer ad clicks prediction model using the machine learning app...

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Research paper thumbnail of Detecting Online Outlier for Data Streams using Recursive Residual

2022 Seventh International Conference on Informatics and Computing (ICIC)

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Research paper thumbnail of Performance Analysis Spectrum Sensing using Eigenvalue-Moment-Ratio for Internet of Things Devices

2019 International Conference on Information and Communications Technology (ICOIACT), 2019

Internet of things (IoT) is one famous technology now. IoT fit objects will be interconnected thr... more Internet of things (IoT) is one famous technology now. IoT fit objects will be interconnected through wired and wireless communication technologies. It makes demand high. One of the solutions using cognitive radio (CR) for better utilization, CR has spectrum sensing to find unoccupied channel and occupied channel. This study using Eigen Moment Ratio (EMR) for better utilization than Energy Detection (ED). The evaluation shows EMR better than ED, because EMR using a new formula eigenvalue to detect. EMR can distinguish signal + noise from background noise only. EMR also can detect unoccupied channels in multi antennas.

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Research paper thumbnail of Cocoa Beans Data Grouping With Fuzzy C- Means Clustering Method

Fermentation of cocoa beans plays an important role in determining the quality of the cocoa beans... more Fermentation of cocoa beans plays an important role in determining the quality of the cocoa beans. Recently a new technique has been developed to test the taste of cocoa beans, namely the Metabolic Fingerprinting Technique. This technique observes the profile comparison of metabolite compounds to be applied in determining the similarities and differences between two or more samples. Since the experimental data may contain many uncertainty factors, such as measurement error, changes in lab environment, and so forth, the fuzzy clustering technique would give the appropriate answer. As a result, a set of metabolic fermentation data from several cocoa beans will be grouped by the fuzzy c-means clustering algorithm (FCM). FCM is a grouping technique where the existence of each data point in a cluster is determined by the degree of membership. This algorithm is based on the minimization of objective functions illustrated by finding the shortest distance between the center of the group and...

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Research paper thumbnail of Graph Coloring In Optimization Total Waste Transport Vehicles In Bandung

Waste is a material that is produced from human activities that are no longer used and disposed o... more Waste is a material that is produced from human activities that are no longer used and disposed of. Waste management really needs support and commitment from the government to produce sustainable solutions. However, the government also has limited funding in the waste handling system. PD. Kebersihan Kota Bandung is a regional company engaged and responsible in the field of cleaning the City of Bandung. Based on the daily report of waste collection, the costs incurred for the operation is quite large. These operational costs are dominated by transportation service costs (driver). Meanwhile, not all vehicles operate every day. Graph theory provides an alternative solution to solve this problem. Welch-Powell algorithm, indicate that to facilitate the transportation of garbage from the temporary landfill to the landfill, the Bandung Wetan area is sufficient to provide a minimum of 4 units of transport trucks.

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Research paper thumbnail of Sentiment Analysis about Oximeter as Covid-19 Detection Tools on Twitter Using Sastrawi Library

2021 8th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), 2021

Sentiment analysis is a technique used to determine whether the opinion statement is positive or ... more Sentiment analysis is a technique used to determine whether the opinion statement is positive or negative. A positive opinion means that it tends to be liked and recommended, whereas a negative opinion indicates that it tends to be disliked and not recommended. An oximeter is a device used to check the level of oxygen in the blood. If the oxygen level in the blood is less than 95%, then there is a tendency for the person to be positive for Covid-19. This study tries to trace the sentiment about the oximeter on tweets in 2021 to get information on whether the majority of tweets on Twitter have a positive or negative opinion on the oximeter. The sentiment analysis model was compared between directly processing data in English with data converted to Indonesian at the pre-processing stemming and stopwords removal stages. Data in Indonesian is processed by applying the Sastrawi library. The results obtained are that converting data to Indonesian at the pre-processing stage has better accuracy in sentiment analysis.

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Research paper thumbnail of Two-Layer Shallow Water Equations with Momentum Conservative Scheme for Wave Propagation Simulation

Engineering, Mathematics and Computer Science Journal (EMACS), Jan 31, 2024

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Research paper thumbnail of Comparison of Iris dataset classification with Gaussian naïve Bayes and decision tree algorithms

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, Apr 1, 2024

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Research paper thumbnail of Similarity search on Southeast Asian food ingredients using association rule mining

AIP Conference Proceedings, Dec 31, 2022

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Research paper thumbnail of Detecting Outliers Using Modified Recursive PCA Algorithm For Dynamic Streaming Data

Mendel ..., Dec 19, 2023

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Research paper thumbnail of Effect of Water Temperature on Water Quality Variables in Urban Catfish Cultivation Based on Association Rule Mining

2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A Simple Dataset of Water Quality on Aquaponic Fish Ponds Based on an Internet of Things Measurement Device

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Classification of Predicting Customer Ad Clicks Using Logistic Regression and k-Nearest Neighbors

JOIV : International Journal on Informatics Visualization

Nowadays, conventional marketing techniques have changed to online (digital) marketing techniques... more Nowadays, conventional marketing techniques have changed to online (digital) marketing techniques requiring internet access. Online marketing techniques have many advantages, especially in terms of cost efficiency and fast information delivery to the public. Therefore, many companies are interested in online marketing and advertising on social media platforms and websites. However, one of the challenges for companies in online marketing is determining the right target consumers since if they target consumers who are not interested in buying the product, the advertising costs will be high. One use of online advertising is clicks on ads which is a marketing measurement of how many users click on the online ad. Thus, companies need a click prediction system to know the right target consumers. And different types of advertisers and search engines rely on modeling to predict ad clicks accurately. This paper constructs the customer ad clicks prediction model using the machine learning app...

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Research paper thumbnail of Detecting Online Outlier for Data Streams using Recursive Residual

2022 Seventh International Conference on Informatics and Computing (ICIC)

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Research paper thumbnail of Performance Analysis Spectrum Sensing using Eigenvalue-Moment-Ratio for Internet of Things Devices

2019 International Conference on Information and Communications Technology (ICOIACT), 2019

Internet of things (IoT) is one famous technology now. IoT fit objects will be interconnected thr... more Internet of things (IoT) is one famous technology now. IoT fit objects will be interconnected through wired and wireless communication technologies. It makes demand high. One of the solutions using cognitive radio (CR) for better utilization, CR has spectrum sensing to find unoccupied channel and occupied channel. This study using Eigen Moment Ratio (EMR) for better utilization than Energy Detection (ED). The evaluation shows EMR better than ED, because EMR using a new formula eigenvalue to detect. EMR can distinguish signal + noise from background noise only. EMR also can detect unoccupied channels in multi antennas.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Cocoa Beans Data Grouping With Fuzzy C- Means Clustering Method

Fermentation of cocoa beans plays an important role in determining the quality of the cocoa beans... more Fermentation of cocoa beans plays an important role in determining the quality of the cocoa beans. Recently a new technique has been developed to test the taste of cocoa beans, namely the Metabolic Fingerprinting Technique. This technique observes the profile comparison of metabolite compounds to be applied in determining the similarities and differences between two or more samples. Since the experimental data may contain many uncertainty factors, such as measurement error, changes in lab environment, and so forth, the fuzzy clustering technique would give the appropriate answer. As a result, a set of metabolic fermentation data from several cocoa beans will be grouped by the fuzzy c-means clustering algorithm (FCM). FCM is a grouping technique where the existence of each data point in a cluster is determined by the degree of membership. This algorithm is based on the minimization of objective functions illustrated by finding the shortest distance between the center of the group and...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Graph Coloring In Optimization Total Waste Transport Vehicles In Bandung

Waste is a material that is produced from human activities that are no longer used and disposed o... more Waste is a material that is produced from human activities that are no longer used and disposed of. Waste management really needs support and commitment from the government to produce sustainable solutions. However, the government also has limited funding in the waste handling system. PD. Kebersihan Kota Bandung is a regional company engaged and responsible in the field of cleaning the City of Bandung. Based on the daily report of waste collection, the costs incurred for the operation is quite large. These operational costs are dominated by transportation service costs (driver). Meanwhile, not all vehicles operate every day. Graph theory provides an alternative solution to solve this problem. Welch-Powell algorithm, indicate that to facilitate the transportation of garbage from the temporary landfill to the landfill, the Bandung Wetan area is sufficient to provide a minimum of 4 units of transport trucks.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Sentiment Analysis about Oximeter as Covid-19 Detection Tools on Twitter Using Sastrawi Library

2021 8th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), 2021

Sentiment analysis is a technique used to determine whether the opinion statement is positive or ... more Sentiment analysis is a technique used to determine whether the opinion statement is positive or negative. A positive opinion means that it tends to be liked and recommended, whereas a negative opinion indicates that it tends to be disliked and not recommended. An oximeter is a device used to check the level of oxygen in the blood. If the oxygen level in the blood is less than 95%, then there is a tendency for the person to be positive for Covid-19. This study tries to trace the sentiment about the oximeter on tweets in 2021 to get information on whether the majority of tweets on Twitter have a positive or negative opinion on the oximeter. The sentiment analysis model was compared between directly processing data in English with data converted to Indonesian at the pre-processing stemming and stopwords removal stages. Data in Indonesian is processed by applying the Sastrawi library. The results obtained are that converting data to Indonesian at the pre-processing stage has better accuracy in sentiment analysis.

Bookmarks Related papers MentionsView impact