CODING PROJECT

 1. Model Identification for Prediction Spreading Diphtheria Using Bat Algorithm and Neural Networks Backpropagation

Creates: February 2020
Type: Individual Project/ Thesis

This application is implemented artificial neural networks. The purpose of this application is to show that neural networks can identify differential equation system based on actual data and to predict spreading diphtheria in East Java. The programming language used is Visual Basic, and the database used is database access. I implemented a bat algorithm to estimate parameters that used and a neural network backpropagation to identify the mathematic model and to predict spreading diphtheria. The result of the model identification and the prediction spreading diphtheria is presented in this graphic.

 

 2. Model Identification for Prediction Spreading Dengue Fever Using Bat Algorithm and Neural Networks Backpropagation

Creates: October 2020
Type: Individual Project/Research 

This application is implemented artificial neural networks. The purpose of this application is to show that neural networks can identify differential equation system based on actual data and to predict spreading diphtheria in East Java. The programming language used is MatLab, and the database used is Notepad. I implemented a bat algorithm to estimate parameters that used and a neural network backpropagation to identify the mathematic model and to predict spreading diphtheria. The result of the model identification and the prediction spreading diphtheria is presented in this graphic.

The completed journal: https://iopscience.iop.org/article/10.1088/1742-6596/1494/1/012002

 3. Secreted Massages (Encryption and Description) in E-Mail

Creates: May 2019
Type: Team Project/Cryptography Task

This application is implemented El-Gamal Algorithm to encrypt and to decrypt email text. The programming language used is Visual Basic. The result of encryption and description is presented in this picture.

 

 4. ANREMIX (Analyst and Reminder Information of Additional Bundle Before Expired) 

Creates: December 2018
Type: Individual Project/Internship Task

This application is duties from an internship in PT. ASKRINDO Surabaya. This application contains two menus:

1. Analyst: Users can analyze data. The result of this menu is a classification of status data: approved, rejected, and bundle addition

2. Reminder: Users can check the completeness of the bundle and can calculate the expired date of the bundle. If the bundle is incomplete, this application can send an automatic email to collect incomplete documents as soon as possible before the expired date. 

5. Depression Experts System

Creates: December 2018
Type: Team Project/Artificial Intelligence Task

This application is the assignment of the Artificial Intelligence Course. This application is implementing forward chaining and backward chaining for the methods. Users must choose an answer to the question's application then the system will give a decision about the depression level of users. The interface of this application is presented the picture below