Do you want to know about me?

I experienced in the computer software industry and skilled in Android Mobile Application Development (Java & Kotlin), Front-End stuff, and SEO.

Constantly, I am updating my skills to keep up with new technologies like Swift & SwiftUI and NextJS (React).

As a fronted-end engineer, I have learned about material design and design principles. Because of the user experience is the most important part that affects user satisfaction when using our product.

Good user experience can raise user satisfaction and create a positive relationship between the users and the brand. That what makes me happy to be a front-end engineer.

My hobbies are cycling, listening podcast, read articles, and blogging.

Skills and Interests

In senior high school, I learn to make an Android app for the first time. I made it using PhoneGap with my HTML basic knowledge in Eclipse IDE.

Then, I become a university student and made mobile apps more properly. In my first attempt i made financial app for Windows Phone user called "Feenancal". After that, i decided to become Android Developer. Me and my teacher make collaboration to built apps for goverment.

In 2015, I joined with Indonesia Android Academy. A program that provides a series of Android programming course who owned by GDG Indonesia. In the same year, I join intership program in AINO Indonesia to become Java and Android Engineer.

For my work experiences you can read it by clicking here..

Language : Java and Kotlin

Architectures : MVC, MVP, and MVVM

Libraries : ButterKnife, ObjectBox, GreenDAO, EventBus, OpenCV, Timber, Glide, Retrofit, GSON, RxJava, Realm, Room, Dagger Hilt, Kotlin Coroutines

I loved to design UI (User Interface)

I have learned about material design and design principles. Because of the user experience is the most important part that affects user satisfaction when using our product.

Good user experience can raise user satisfaction and create a positive relationship between the users and the brand. That what makes me happy to be a front-end engineer.

Tools : Miro, mindmeister.com, AdobeXD, Figma, Zeplin

Inspiration : Awwwards, Uplabs.com, Behance, Airbnb, Stripe

Publication

One of the problems in developing a neural network-based automatic control system is data accuracy. This study aims to improve the accuracy of the training data utilized in a backpropagation neural network-based controller system under the direct inverse control scheme.

One of the main strategies in improving the data accuracy was by recalculating the sampling time to accommodate the delay time of GPS signals. After obtaining accurate training data, backpropagation training was then carried out with several variations in the number of neurons to get the best neural network configuration.

robot