Hi there! My name is Thursy, My mom told me it because I was born on Thursday 😀 here is Quokka my spirit animal, the happiest animal on the planet.

Github: https://github.com/thursy

Academia: https://cycu.academia.edu/ThursySatriani

Scribd: https://www.scribd.com/user/30740323/Thursy-Satriani

If I’m not on social media, I am probably watching Mukbang, read books, debugging, or walking outside.


I don’t know if God is a cryptographer, but codes are all around us waiting to be deciphered. Some may take a thousand years for us to understand. Some may always be shrouded in mystery.

I wrote this down in my notebook but forget who said this

Published Paper

Day-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network

The operations of power systems are becoming increasingly challenging due to the high penetration of renewable power generation, which is uncertain and stochastic. Highly accurate day-ahead renewable power forecasting helps operators in a dispatch center schedule power generations for conventional thermal generators. Efficient day-ahead renewable power forecasting requires information from widely separated locations. This paper proposes a novel day-ahead spatiotemporal wind speed forecasting method based on a convolutional neural network (CNN), which is an image-based deep learning method. This paper exploits a robust design based on Taguchi’s orthogonal array to determine the numbers of cascade/parallel layers, convolutions in each layer, kernels and hidden layers, as well as the kernel size, zero-padding and dropout ratio in the proposed CNN to ensure that the proposed CNN is insensitive to the seasonal characteristics of wind speeds while retaining high accuracy. In this paper, the day-ahead forecasting of wind speed at an offshore wind farm (Fuhai) near Taiwan is performed using historical wind speeds at seven sites in Taiwan, China, South Korea and the Philippines. Simulation results reveal that the proposed robust design-based CNN outperforms existing methods.

more in science direct

Medium-Writing

Docker Desktop CLI Essentials

This article provides a reference guide for Docker Desktop CLI commands. It covers essential concepts like Dockerfiles, images, and containers. It then dives into building images, running containers, and customizing them using environment variables. The guide is suitable for both beginners and experienced developers.

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Managing Data in IBM Cloud

This article explains how to use IBM Cloud Object Storage to manage large amounts of data. Object storage organizes data into buckets like folders. The article provides a step-by-step guide to create a bucket and use Python code to upload and download data to and from the bucket. It also includes code for uploading entire directory structures.

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Scheduling Streaming Insert ke BigQuery Menggunakan Serverless Option

The article discusses how to build an architecture using serverless services on Google Cloud Platform (GCP) to schedule script execution like Apache Airflow. It uses Cloud Scheduler to trigger a Pub/Sub topic, which triggers a Cloud Function that consumes an API and stores the data in a BigQuery table. The article highlights the benefits of serverless services like auto-scaling and cost-friendliness.

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Dealing with Nominal, High Cardinality Data!

Categorical data like postal codes needs conversion to numerical form for machine learning. This article explores techniques like one-hot encoding (creating separate columns) and label encoding (assigning numbers) for both ranked (ordinal) and unranked (nominal) data. It emphasizes splitting data for training and testing before encoding, and using the training data’s mapping to encode the testing data.

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How to Connect Redshift to Google Data Studio

Data Studio allows you to create visualizations from Redshift data. After acquiring Redshift credentials and adding Data Studio’s IP address to your Redshift security group, you can connect to the data in Data Studio and use a custom query to get the data you need for your visualizations.

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3 Things you can do to deal with Imbalance Data Set

When working with data classification, imbalanced datasets can occur where one class has significantly more data than others. This can cause issues with training models. To address this, you can try techniques like downsampling the majority class, oversampling the minority class using SMOTE, or assigning class weights during model training.

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Machine Learning di Google Cloud

Google Cloud Platform offers various tools for machine learning, including compute, storage, and pre-trained models or custom training with AutoML. This makes machine learning accessible to both beginners and experts.

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Cloud Vision API — OCR with Notebook on GCP

Cloud Vision API is a Google Cloud service including the capability to do Optical Character Recognition (OCR). This tutorial will show how to use Vision API on a GCP Notebook. 

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Serverless Machine Learning GCP

This article discusses an overview on how to build a machine learning model in a serverless manner with GCP. The brief explanation about machine learning concepts and how to implement it using BigQuery Machine Learning or TensorFlow and Keras are also covered here.

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Webinar & Workshop

Howdy! Here is list of my upcoming webinar and talks! You are welcome to join if you are interested. Mostly I will cover topic related to GenerativeAI, Machine Learning, IBM Cloud, and Google Cloud Platform.

2024
February –June
Trainer for Mentor and Guest LectureBecome trainer of the mentor to provides guidance, tools exploration.
more…
4 monthsKampus merdeka
2022
September –November
FGA Batch 4 Data Scientist FacilitatorThis boot camp provides information on how to start a career as a Data Scientist, and trains the student to use tools to do analysis and data visualization.
more…
3 monthsKominfo and Binar Academy
15
December2022
AEC Award Webinar 2022How data analytics and machine learning is applied in current digital marketing and business world.
more…
3 PM SGTAL-AHMADI ENTREPRENEURSHIP CENTRE

Past events about Google Cloud….

06
August2022
Google I/O Extended BaliTopic presented in this event is titled End-to-End Machine Learning with Tensorflow, starting by introducing AI/ML/DL and introducing each step in the Machine Learning development and in what part Tensorflow can help.
more…
1 dayGoogle Developer Indonesia
31
July2022
GDG Surabaya | ML Study Jam 2022 | Week 2Topic presented in this event is titled End-to-End Machine Learning with Tensorflow, starting by introducing AI/ML/DL and introducing each step in the Machine Learning development and in what part Tensorflow can help.
more…
1 dayGoogle Developer Indonesia
20
August2020
In the Cloud: Machine Learning on GCPWe will be discussing machine learning APIs, use cases of AutoML, and how to deploy your own models in Google Cloud Platform.
more…
7PM SGTGoogle Singapore
28
July2020
[Livestream] La Kopi @ Developers Space: Machine LearningUncertainty of power generated by the wind energy becomes one of the important issues which arises from management of the power system. Forecasting is used to minimize the impact of uncertainty by predicting the future value based on the historical data.
more…
7PM SGTGoogle Singapore

Past events about Cloud Ace….

24
March2021
IoT on Google Cloud PlatformHow to integrate IoT and streaming data it generated with Google Cloud Platform.
Register
3 PM SGTCloud Ace
17
February2021
Conversation Intelligence on GCPThe conversational interface is an essential aspect of an AI-enabled application.
Register
3 PM SGTCloud Ace
20
January2021
Machine Learning on GCPIntroducing the available product on machine learning with GCP: AutoML, pretrained API, Tensorflow
more…
3PM SGTCloud Ace
16
December2020
Building Chatbot with Dialog FlowThis webinar introduces DialogFlow and shows how DialogFlow tackles technical challenges to create a responsive chatbot
more…
3PM SGTCloud Ace
18
November2020
Machine Learning on GCPIntroducing the available product on machine learning with GCP: AutoML, pretrained API, Tensorflow
more…
3PM SGTCloud Ace
28
October2020
Build a cost effective research tool with sentiment analysis on Google CloudIn this webinar we’ll be talking about how you can use the natural language intelligence tools to understand the sentiment contained in text.
more…
3PM SGTCloud Ace
14
October2020
Creating Powerful Visualizations with Data StudioThis webinar will introduce Data Studio, a free, modern business intelligence product that lets you create dynamic, visually compelling reports and dashboards.
more…
3PM SGTCloud Ace
16
September2020
AutoML TablesIntroduction and demo of Auto ML Tables and get inspired on how to use this great tool and be used in your business.
more…
3PM SGTCloud Ace
26
August2020
Document AIThis webinar explains and gives a demo of Auto ML Vision – a tool from Google that makes it easy to develop your own image intelligence models.
more…
3PM SGTCloud Ace
19
August2020
Vision AI on Google Cloud (AutoML Vision)This webinar explains and gives a demo of Auto ML Vision – a tool from Google that makes it easy to develop your own image intelligence models.
more…
3PM SGTCloud Ace
12
August2020
Vision AI on Google Cloud (Vision API)Learn about the powerful image analytics Vision API which includes highly trained models and how your business can easily benefit from them
more…
3PM SGTCloud Ace