Contents
Towards a sustainable future through data-centric solutions: potentials and challenges
We are moving from the Internet era into the AI era. We are living in a world where we have the opportunity to harness the benefit of data. Digitization will allow one to collect more data than we can imagine, but what are the real potentials and ...
Quantum Computational Economics
The universality of quantum algorithm has been performed in many cases, mostly in theoretical computer science. In this presentation, we would like to report our recent results, such as ecosystem and production function simulation based on quantum ...
Developing intelligent Tele-ECG systems and Tele-USG systems: progress and challenges
Mobile technologies provide a medium for long-distance communication systems, where the users interact with each other without having to meet physically. Long-distance communication systems, using mobile technologies, are helpful for critical and ...
Dijkstra's algorithm to find the nearest vaccine location
Since the start of Covid-19 pandemic has made many people look for vaccine locations. In general, Dijkstra algorithm is used to find the shortest path. The shortest path problem concentrates on finding the path with the minimum distance. The ...
Sign language recognition system for communicating to people with disabilities
Sign language is one of the most reliable ways of communicating with special needs people, as it can be done anywhere. However, most people do not understand sign language. Therefore, we have devised an idea to make a desktop application that can ...
Diabetes prediction using supervised machine learning
- Muhammad Exell Febrian,
- Fransiskus Xaverius Ferdinan,
- Gustian Paul Sendani,
- Kristien Margi Suryanigrum,
- Rezki Yunanda
Diabetes is a disease that can lead to blindness, kidney failure, and heart attacks, as well as death. According to the International Diabetes Federation, there were 463 million diabetics in 2019. If predictions are correct, this number will rise ...
Student attendance with face recognition (LBPH or CNN): Systematic literature review
Technology growth is speedy, and more and more things can be solved easily with the existence of sophisticated technology. One of them is solving the problem of student attendance at the university. The current attendance system has developed into ...
Facial expression recognition using bidirectional LSTM - CNN
Nowadays, there has been much attention on computer vision regarding human-computer interaction, especially facial expression recognition (FER). Many researchers have explored and suggested systems for this field. In this paper, we propose the ...
Comparative analysis of deep learning models for detecting face mask
- M. Vickya Ramadhan,
- Kahlil Muchtar,
- Yudha Nurdin,
- Maulisa Oktiana,
- Maya Fitria,
- Novi Maulina,
- Gregorius Natanael Elwirehardja,
- Bens Pardamean
The spread of Corona Virus Disease 19 (COVID-19) in Indonesia is still relatively high and has not shown a significant decrease. One of the main reasons is due to the lack of supervision on the implementation of health protocols such as wearing ...
Impact of CLAHE-based image enhancement for diabetic retinopathy classification through deep learning
- Mira Hayati,
- Kahlil Muchtar,
- Roslidar,
- Novi Maulina,
- Irfan Syamsuddin,
- Gregorius Natanael Elwirehardja,
- Bens Pardamean
Diabetic retinopathy (DR) is a type of diabetes mellitus that attacks the retina of the eye. DR will cause patients to experience blindness slowly. Generally, DR can be detected by using a special instrument called an ophthalmoscope to view the ...
Development of e-butler: Introduction of robot system in hospitality with mobile application
During the pandemic, many hotels started to apply strict health protocols for social distancing by reducing the number of its employees. In our research, we would like to develop an application based on E-Butler service robot, called as BeeButler, ...
Furpare: Third-party application as furniture comparison in Indonesia's e-commerce
Furniture is an item that is intended for households and can beautify a room, because of the various furniture designs. During the COVID-19 pandemic, Indonesia's restrictions on community activities (PPKM) were carried out. PPKM causes ...
Developing an anti-counterfeit system using blockchain technology
Blockchain is an up-and-coming technology designed to ease the process of verifying legitimate products without the need of a centralized system. An example of a well-known technology using Blockchain is Bitcoin and Ethereum cryptocurrency. ...
Machine learning approaches in stock market prediction: A systematic literature review
Predicting the stock market has been done for a long time using traditional methods by analyzing fundamental and technical aspects. With machine learning, stock market predictions are made more accessible and more accurate. Various machine learn- ...
Computer network design and implementation using load balancing technique with per connection classifier (PCC) method based on MikroTik router
A computer network system in a company or agency generally uses more than one Internet Service Provider (ISP) to maintain the quality of its internet services. When one of the ISP's services that are used is interrupted and the internet connection ...
BOOK4WASH: Mobile car wash booking system
The need for car wash services nowadays is increasing since most car owners are too busy to wash their automobiles themselves. Nowadays, car wash facilities give numerous car wash or car detailing services such as foam washing, waxing, and ...
Mathematical model estimation and prediction application of Covid-19 infection in Indonesia using Levenberg-Marquardt Algorithm based on Python
COVID-19 was originally diagnosed in Wuhan, China, in late December 2019; it subsequently expanded internationally, affecting around 7 million people and caused 300,000 deaths by May 2020. An Application that could surveillance the Covid-19 in ...
Automation testing using silk test workbench for website
Automation testing is essential to carry out functional testing quickly and precisely. Software testing is beneficial for testers doing many testing processes according to the existing scenarios. So, there is an urgency to explore a more advanced ...
Implementation of expert systems in potassium deficiency in cocoa plants using forward chaining method
- Muhammad Titan Hafizal,
- Dian Pratama Putra,
- Herry Wirianata,
- Nanda Satya Nugraha,
- Teddy Suparyanto,
- Alam Ahmad Hidayat,
- Bens Pardamean
As one of the largest exporters in the world, cocoa (Theobroma cacao L.) production in Indonesia provides an important contribution to the plantation sector that can, directly and indirectly, attribute to the national economic development. However,...
Developing an online information portal for enhancing society awareness of RPTRA (A case study RPTRA MAYA ASRI 13)
The long COVID-19 pandemic has limited the activities of Ruang Publik Terpadu Ramah Anak (RPTRA) such as environment cleaning, repair of RPTRA infrastructure, learning and others, as well as the lack of public awareness about the existence and ...
Blockchain and API Development to Improve Relational Database Integrity and System Interoperability
Technological developments have resulted in a trend of cryptocurrencies that use a technology called blockchain to create and record all transactions made into a digital ledger. Along with the emergence of the trend of cryptocurrencies, this ...
Digital forensics on facebook messenger application in an android smartphone based on NIST SP 800-101 R1 to reveal digital crime cases
Android is the world's most popular system of operation. In the Android system, communication applications can be installed, for example, Facebook Messenger, which is one of the most popular communication applications with 988 million active ...
Small area estimation with multiple covariates under structural measurement error models
Small area estimation is essential in making reliable inferences for areas where the sample is relatively small or no sample is available. In the case of developing a small area estimation model, if the covariates measured with errors were ignored,...
Forecasting of Covid-19 positive cases in Indonesia using long short-term memory (LSTM)
Since the emergence of Covid-19, the condition of Covid-19 has increased and decreased several times along with the emergence of new variants. Therefore, change occurs quickly and is extreme. If the positive cases of covid occur beyond medical ...
Property selling system with support for validation and verification process
Due to the COVID-19 pandemic, today's property trade transactions through the website have become common. This phenomenon requires the availability of a trustable property commerce website. This research aims to produce a website trusted for ...
A systematic literature review: Messaging protocols and electronic platforms used in the internet of things for the purpose of building smart homes
Internet of Things is a paradigm that aims at connectivity for everything, such as computing devices, machines, objects, people and so on. Messaging protocols and electronic platforms are needed in the implementation of Internet of Things(IoT) ...
Serverless utilization in microservice e-learning platform
Since cloud computing becoming the trend, the way servers being implemented slowly moves to the cloud. Companies did not need to buy a physical server machine to deploy an app. Having a private server on cloud infrastructure indeed already reduce ...
Long short-term memory (LSTM) model-based reinforcement learning for nonlinear mass spring damper system control
The Neural Networks (NN) model which is incorporated in the control system design has been studied, and the results show better performance than the mathematical model approach. However, some studies consider that only offline NN model learning ...