The Adjusted SNR and It's Application for Selection Lorenz Function of Income Inequality Analysis
The formulation of signal-to-noise ratio (SNR) does not take into account the number of parameters used in the model, which can result in capturing intense noise when the number of predictor variables increases. Additionally, there is currently no ...
Path Planning Using the Bee Colony Algorithm to Find Routes for a Coffee Plantation Using Drones
- Fico Davin Adriyansyah,
- Deden Witarsyah,
- Dedy Syamsuar,
- Ahmad Luthfi,
- Hanif Fakhrurroja,
- Muhammad Izman Herdiansyah
The selling value of coffee depends on the level of maturity of the beans. The coffee plantation in Alam Indah village, Bandung district covers an area of 84 hectares or approximately 840,000 square meters, making it difficult for farmers to ...
R Package Development to Support Discrete Events Simulation Learning
This study aims to describe the various capabilities of the simmer package for R, particularly when running a discrete event simulation model. It then develops a technique for building effective DES simulation models that accurately represent real ...
Utilizing Semi-supervised Method in Predicting BRCA1 Pathogenicity Variants
Quantifying the effect of mutations in the BRCA1 gene is useful for understanding their clinical consequences on breast cancer. Machine learning models can be applied to predict the landscape of protein variant effects that might not be always ...
Machine Learning Approach for Single Nucleotide Polymorphism Selection in Genetic Testing Results
Lactose intolerance is a type of digestive problem that may threaten the population because milk and dairy products compose of nutrients that are essential for human body. Genetic tests possess a great potential to detect lactose intolerance as it ...
A modified beluga whale optimization for optimizing energy-efficient no-idle permutation flow shop scheduling problem
Attention to energy-efficient permutation flow shop scheduling problems is increasing in the context of globalization and environmental awareness. However, the energy-efficient no-idle permutation flow shop scheduling problem (NIPFSP) has rarely ...
Determining the objective weight of green manufacturing indicators: a case study of the Indonesian manufacturing company
With the growing of environmental issues, manufacturing companies are compelled to improve their performance to reduce resource consumption and environmental pollution. Accordingly, company's performance should be measured according to the green ...
Monitoring Applications for Vehicle based on Internet of Things (IoT) using the MQTT Protocol
Monitoring of vehicle conditions is needed as one of the securities in driving because one of the accident rates is negligence in checking the condition of the vehicle. This study aims to help reduce the level of accidents and increase human ...
Guidance in Designing A Smart Campus: A Systematic Literature Review
With the latest development in information technology, smart campuses have become a topic that attracts attention in the world of education, especially in higher education. The smart campus has the potential to change the way of managing, ...
Study of Cross-Site Request Forgery on Web-Based Application: Exploitations and Preventions
Cross-Site Request Forgery (CSRF) is a prominent web exploit that continues to pose significant security risks, even on highly ranked websites. This research focuses on identifying the underlying vulnerability, understanding the techniques ...
The Utilization of Mobile Communication on Marketing: A Systematic Review
The advancement of mobile communication technology with entrepreneurial minds is advancing, and its use is increasingly playing an important role in business, marketing, and life. However, there are not many studies that focus on the role of ...
Adoption Of Cash on Delivery (COD) Payment System in Shopee Marketplace Transaction
Everyone is connected to the internet, everyone now believes in buying and selling activities on the internet, and at this time the internet world has a fairly well-maintained security. The growth of marketplace platforms such as Shopee makes it ...
Rust's Memory Safety Model: An Evaluation of Its Effectiveness in Preventing Common Vulnerabilities
Ensuring safe program operation is crucial for systems programming, and memory safety is a significant aspect of this. This paper assesses the memory safety strategies used in Rust and C++ programming languages. Rust is a modern language that has ...
Indonesian Agricultural-crops Classification Using Transfer Learning Model
Classification of Indonesian crops is a critical task in developing farming and getting more understanding of agriculture. However, there is no clear task in classifying types of crops in Indonesia. Transfer learning has been used successfully in ...
Technique of Mental Health Issues Classification based on Machine Learning: Systematic Literature Review
Mental health issues are focused on extensively and are an immense part of human life. As a result, formulating effective approaches for early detection and intervention is critical. Machine Learning algorithms have demonstrated promising results ...
Item Verification on the Smart Trolley System using Object Recognition based on the Structural Similarity Index
- Alexander Agung Santoso Gunawan,
- Ernest Julio Andreal,
- Widodo Budiharto,
- Heri Ngarianto,
- Muhammad Attamimi,
- Herman Tolle
Supermarket customers often encounter significant delays during checkout due to manual verification processes, wherein items are removed from the cart, handed over to the cashier, and individually scanned. To address this inefficiency, this paper ...
Topic Segmentation using Transformer Model for Indonesian Text
The increasing number of articles available in the digital library will require quite a long time and accuracy in sorting articles according to needs. The use of artificial neural networks in finding the right articles as needed through topic ...
Sentiment Analysis for TikTok Review Using VADER Sentiment and SVM Model
TikTok, a social networking site for uploading short videos, has become one of the most popular. Despite this, not all users are happy with the app; there are criticisms and suggestions, one of which is reviewed via the TikTok app on the Google ...
Spider Plus: A Text Classifier for Research Article Components
Uploading research articles to a database can be a complex process with multiple HTML fields. The complexity of this process makes users less efficient and productive. This study explored the use of the Multilayer Perceptron (MLP) algorithm using ...
Agile Software Development Effort Estimation based on Product Backlog Items
In all methods of Agile Software Development methods, an estimation process which determines the size of all Product Backlog Items (PBI) is essentially important. One of those methods is Planning Poker. This method is familiar among developers in ...
Android Based Job Search Application “Megawe” for The Segment of Workers with an Education Level Below a University Degree
Indonesia is a vast market for talents recruiting, with around 203 million people that count into work age definition (above 15 years) and around 138 million of them are workforce, while 7 percent of the workforce are open for hire. There are ...
Integrating IoT-Based Devices for Monitoring The Humidity and Temperature In the Boarding House Space
Boarding houses provide the service of renting out living quarters. A good boarding house maintains a pleasant temperature and humidity level. High humidity may damage the interior and the people who live in it; therefore, it must be monitored ...
Acquiring Automation and Control Data in The Manufacturing Industry: A Systematic Review
Industry 4.0 has driven the need for Information Technology (IT) & Operational Technology (OT) convergence to modernize OT by leveraging IT. The challenges for manufacturing operations are utilizing and converting years of scattered data into ...
Designing Personalized Integrated Healthcare Monitoring System through Blockchain and IoT
Personalised Integrated Healthcare Monitoring System (PIHMS) has received major attention from the healthcare industry. With large population and strong growth of Indonesian middle class, PIHMS is certainly a big market for major healthcare ...
Time-Based Steganography Image with Dynamic Encryption Key Generation
The rapid advancement of technology has necessitated stronger protection measures for data exchange. Encryption, coupled with robust keys, is an effective method to safeguard sensitive information. This study aims to improve the security of key ...
Developing a Poverty Model in Papua using Geographically Weighted Regression
Poverty is one of the world's main problems, which has been very difficult to overcome. The poverty rate has influences on economic growth in an area. The greater the poverty rate in an area, the more difficult it is for an area to grow ...
Prediction of Stock Value Web-scraped Google Trends and Twitter data-driven model
The World Bank and many financial analysts predicted that a global recession could occur in 2023. The unpredictability of the global economy, including stock prices, can have a negative impact on people's financial situation. Nonetheless, some ...
Determining Variables Associated with Annual Oil Palm Yield: An Explainable Gradient Boosting Approach
With the growing demands for Precision Agriculture (PA) in Indonesia, researchers have evaluated the utilization of Machine Learning for predicting oil palm yields and determining variables affecting them. Previous studies showed that ...
Big Data Capabilities for Hospital: A Systematic Literature Review
The use of Big Data (BD) is considered to have the potential to provide significant benefits for hospitals because it can improve hospital services and can save treatment costs. This study aims to identify the effects of using BD Analytics (BDA) ...