This project is my final assignment for completing study Bachelor in Computer Science Universitas Diponegoro.
Application of Gaussian Mixture and Hidden Markov Model (GM-HMM) for Prediction of Machinery Failure
[NDA] Develop a reporting website application that extracts information into knowledge from experts for PT PLN Indonesia Power
Create a website-based application for monitoring power plants
Performed classification of thermal electric motor images.
Worked together with Data Science Indonesia Regional Jawa Tengah (DSI JATENG) and Semarang Android Developer Center (SANDEC) Community, we created a powerful visualization to track the locations that have been sprayed to mitigate the spread of Corona in Semarang.
[NDA] Create a web-based application to monitor and predict the performance of SCADA systems, for example on vibration sensor data.
Create a machine learning model of alarm prediction system for monitoring steam turbine.
We did analyze the job demand in Indonesia the created a dashboard for that.
Online course for beginner who want to learn machine learning using Python.
Develop a web application to determine the sentiment of society during COVID-19 from Instagram of Dinas Kesehatan Kota Semarang.
Contributed to HuggingFace Dataset by submitting the IndoNLU dataset.
The infographic shows the society’s report, the average of the governor’s response, the topic of the report, and the amount of the report by sector.
[NDA] - Design a real-time data processing system that extracts, transforms, and loads data, performs data cleaning and preparation, and identifies anomalies as they occur.
[NDA] - Build a web-based application for prognostic health and management (PHM) of power plant.
Build a conversational model for Sirobo V1 using Dialogflow.
Build a conversational model for Sirobo V2 using Dialogflow.
[NDA] - Develop web-based application for prescriptive analytics of photovoltaic system.
[NDA] - Develop a web-based application that estimates the REEL using the Net Plant Heat Rate (NPHR) variable and then using Multiple Objective Optimization methods for prescriptive maintenance.
Develop a dashboard using Looker Studio to visualize employee performance.
Develop a dashboard using Looker Studio to visualize the amount used cooking oil collected.