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Malware Detection
Malware Detection
September 2022
Conducting Research about Image Malware, Feature Extraction, and Malware Detection method. Implementing of Deep Learning method for Malware Detection using CNN Architecture with Hyperparameter Tuning. Designing a malware detection dashboard to visualized of sample malware image including predictions of benign and malicious class.
Benchmarking Model for Testing Segmentation Parking System
Benchmarking Model for Testing Segmentation Parking System
August 2022
Conducted testing and evaluation for a 40-segmentation model based on historical data to determine the best model to implement for vehicle detection in slot parking systems.
Rock-Paper-Scissors Image Classification Using CNN
Rock-Paper-Scissors Image Classification Using CNN
August 2022
Using Convolutional Neural Network for Image Classification of rock-paper-scissors images. Python was used as the programming language and I utilized Tensorflow and Keras packages.
E-Commerce the Look
E-Commerce the Look
July 2022
Business reports were generated using analytic methods to produce business insight and recommendations for enhancing company optimization. Using SQL to make joining tables, implemented a machine learning model for predicted time series data and visualized the sales profit performance dashboard using Tableau
Pneumonia Detection Using CNN
Pneumonia Detection Using CNN
April 2022
Implementation of deep learning method-based Convolutional Neural Network. (CNN) in detection chest, X-ray Images including deployment model into a simple dashboard using Flask framework to visualize the predicted result of a classification of pneumonia and normal chest X-ray.
Data Vizualization of Covid 19 Case
Data Vizualization of Covid 19 Case
April 2022
To provide insight for the government in decision-making appropriate to anticipate covid 19 cases in Indonesian provinces, it is required to create a visualization of the number of covid cases in provinces in Indonesia.
Stock Prediction using Machine Learning
Stock Prediction using Machine Learning
April 2022
Forecasting stock prices using the Decision Tree machine learning model. The features used to make predictions are historical stock price data at open, high, low, and closed.
Diagnosis of Covid-19 using Machine Learning
Diagnosis of Covid-19 using Machine Learning
April 2022
Deployment Dashboard Diagnosis of Covid-19 using Categorical Naive Bayes. This model has been evaluated and has the highest accuracy rate of the other two Machine Learning models, namely Multibinomial Naive Bayes, and Decision Tree Classifier. The model will predict the input in the form of predicted parameters on the target indicating Covid or not (Positive or Negative).
Sentiment Analysis
Sentiment Analysis
April 2022
Automatically identifying the affective states of text is the process of sentiment analysis, a crucial area of Natural Language Processing. Sentiment analysis refers to analyzing an opinion or feelings about something using data like text or images, regarding almost anything.
KAPRO
KAPRO
July 2021
To complete the knowledge of items in Digital Marketing Strategy, as a Data Analyst I also designed and implemented a simple dashboard for reporting the status of Indihome customer data registration involving completed, canceled, and revoke, into a percentage table of each status as a kpro dataset into data input.
Emotion Detection
Emotion Detection
May 2021
Real-Time Human Facial Emotion Recognition using Deep Learning-based Convolutional Neural Network (CNN) with various approaches such as VGG-16 transfer learning for feature extraction in addition to characterizing real-time emotion (angry, surprised, happy, sad, and neutral) as the camera becomes input.
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