Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023)
26 articles
Proceedings Article
Peer-Review Statements
Komang Dharmawan, Ngurah Agus Sanjaya ER
All of the articles in this proceedings volume have been presented at the ICAMSAC 2023 held at Udayana University, Bali – Indonesia, on November 21st-22nd, 2023. These articles have been peer reviewed by the members of the ICAMSAC scientific Committee members which related to the manuscripts being reviewed...
Proceedings Article
A Balinese folklore digital portal with natural language processing framework
Ngurah Agus Sanjaya ER, Ni Luh Nyoman Seri Malini, I Made Widiartha, Pijar Candra Mahatagandha
Balinese story is one of the cultural heritages that are filled with local wisdom. These stories were often passed on orally from one generation to the next. The advancement of information technology and more accessible internet connection have opened opportunities for preserving these Balinese stories...
Proceedings Article
A Study of Lab Color Space and Its Visualization
Ida Ayu Putu Febri Imawati, Made Sudarma, I Ketut Gede Darma Putra, I Putu Agung Bayupati
With the increasing need for digital images in everyday life, images are collected through various devices such as digital cameras, cell phone cameras, and scanners. This image data will be further processed, one of which is to segment objects from the background. The technique that can be used is segmentation...
Proceedings Article
Application of Term Frequency - Inverse Document Frequency in The Naive Bayes Algorithm For ChatGPT User Sentiment Analysis
Novita Rajagukguk, I Putu Eka Nila Kencana, I G. N. Lanang Wijaya Kusuma
Sentiment analysis as part of Natural Language Processing has been widely used to see public sentiment towards a topic. Sentiment analysis functions to classify opinions into positive or negative classifications. In classifying opinions, an algorithm is needed to manage opinion data. One well-known algorithm...
Proceedings Article
Building Plan Reconstruction based on codebook and keyblock framework
I Gusti Agung Gede Arya Kadyanan, Nyoman Gunantara, Ida Bagus Gede Manuaba, Komang Oka Saputra
These days, one of the biggest challenges facing pattern recognition research is building plan recognition. The findings of an exploratory investigation on keyblock framework-based building plan recognition are presented in this paper. This study also aims to demonstrate the universal applicability of...
Proceedings Article
Classification of Original and Fake Images Using Deep Learning- Resnet50
Novita Rajagukguk, I Putu Eka Nila Kencana, I G. N. Lanang Wijaya Kusuma
Computer Vision has developed and become a necessity for human life. Computer Vision is widely used in image classification tasks, object detection, semantic segmentation, video understanding, and so on. In this research, Computer Vision is used to perform classification tasks to distinguish between...
Proceedings Article
Classifying of Diabetes Symptoms Using the Backpropagation Neural Network Method
Putu Wina Sahyuni, Putu Sugiartawan, Wayan Sauri Peradhayana
This study aims to develop a technology that can help diagnose diabetes symptoms accurately. The Backpropagation Neural Network method is used to classify diabetes symptoms based on various parameters such as blood pressure, heart rate, body temperature, sugar levels, cholesterol, uric acid, and oxygen...
Proceedings Article
Classifying Patient General Health Using Elman Recurrent Neural Network Method
Ni Luh Gede Candra Leswari, Putu Sugiartawan, Gede Dana Paramitha
This research aims to improve the accuracy and efficiency of patient health classification using the Elman Recurrent Neural Network (ERNN) method. This research utilizes medical data such as blood pressure, heart rate, body temperature, blood sugar levels, cholesterol levels, oxygen levels, and uric...
Proceedings Article
Comparison of Network and Data Correlation in Modeling Revise Stage of Case Based Learning
I Gede Santi Astawa, Desak Putu Sri Wulandari, Luh Putu Ida Harini
Case-based reasoning (CBR) is a method that models and adapts experience to find the right solution for new problems. CBR stages consist of retrieve, reuse, revise, and retain. Revise stage is one of important key in CBR method to adapt a new case. This is because if a problem cannot be found the right...
Proceedings Article
Development of A Security System in The Location Identification Application for The Blind Disabled Based on Nfc Rfid
I Made Widhi Wirawan, I Dewa Made Bayu Atmaja Darmawan, I Gede Widnyana, Ni Nyoman Sukma Prasetyadewi Gita
Cognitive needs are basic human needs that are closely related to the need for information, knowledge and understanding of their environment. For people with visual disabilities, identifying a location is an important thing among their limitations (Widhi, 2013). People with visual disabilities are trained...
Proceedings Article
Electroencephalogram (EEG) for Brain Disease Detection: A Bibliometric Analysis on 2013–2023 Research in the Scopus Database
Agus Muliantara, Komang Dian Aditya Putra
The diversity of brain disease can be attributed to the complexity of the nervous system. External, genetic, and epigenetic factors such as physical trauma, illness, and environmental factors can cause and worsen brain disease. The advancement of technology has led many to seek a lifestyle that is both...
Proceedings Article
Enabling Cultural Heritage Preservation: A Semantic Web Prototype for Digitizing and Documenting Balinese Woven Fabric Artifacts
Cokorda Pramartha, G. D. D. Saputra, I W. Supriana, I G. N. A. C. Putra, I W. Arka, M. A. Raharja
Balinese woven fabric holds significant cultural value, serving as a staple in everyday attire for schools and offices in Bali. However, crucial information about these artifacts, including motifs, categories, and raw materials, remains inadequately documented. This research focuses on the development...
Proceedings Article
Enhancing Portfolio Efficiency with Mean-Shift Clustering
Ni Made Sri Kumala Dewi Oka, Komang Dharmawan, I G. N. Lanang Wijaya Kusuma
Mean-Shift Clustering, an unsupervised learning algorithm, facilitates the grouping of objects sharing similar characteristics without assuming a predefined number of clusters during the calculation. In the context of portfolio formation, investors seek groups of stocks across diverse sectors to construct...
Proceedings Article
Identification of Flowers as Balinese Hindu Ritual Offerings Using Convolutional Neural Network (CNN)
Ida Bagus Kade Dwi Suta Negara, I Ketut Gede Darma Putra, Made Sudarma, I Made Sukarsa
Flowers play a crucial role as elements in Hindu ceremonies in Bali. In the Balinese Hindu tradition, flowers serve as ritual instruments that carry spiritual significance and profound symbolism. Many of the younger generation in Bali today struggle to identify various types of flowers used in Balinese...
Proceedings Article
Identification of Heart Disease in Patients Using the Long Short-Term Memory (LSTM) Method
Made Priska Sylviana Benyamin, Putu Sugiartawan, Putu Shinta Noviaty
Heart disease is a deadly disease that is often the cause of death worldwide. This is a category of cardiovascular disease involving various heart disorders, including coronary artery disease, heart failure, and arrhythmia. Heart disease can also cause serious complications such as stroke, ruptured blood...
Proceedings Article
Identifying Indonesian Sentences Containing Idiomatic Expression Using the BERT Model
A. A. I. N. Eka Karyawati, N. M . Yuli Cahyani
Idiomatic expressions are expressions that consist of a series of two or more words that have a meaning that cannot be predicted from the meaning of the individual words that compose them. Idiomatic expressions exist in almost all languages but are difficult to extract because there is no algorithm...
Proceedings Article
Implementation of X-Gradient Boosting in Banking Stock Price Predictions
Amelia Maharani Fatihah, Komang Dharmawan, Putu Veri Swastika
The abstract should summarize the contents of the paper in short terms, i.e. 150–250 words. Accurate and computationally efficient prediction of stock price or stock return or any financial problem is required to gives ad- ditional point of view in investment. Machine learning methods have recently become...
Proceedings Article
Interval Kernel Fuzzy C-Means - Particle Swarm Optimizer with Two Differential Mutations (IKFCM-PSOTD) for Incomplete Data Clustering
Muhaimin Ilyas, Syaiful Anam, Trisilowati Trisilowati
Data processing and optimization are two major challenges in data analysis such as clustering. In practice, data often contains missing values that must be handled appropriately. This research provides an innovative approach to clustering incomplete data using Interval Kernel Fuzzy C-Means (IKFCM) technique...
Proceedings Article
Mathematical Modeling of Computer Visual Syndrome Risk from Learning Application Design by UI/UX Approach and Runge-Kutta Differentiation
I Wayan Santiyasa, I G. N. A. Cahyadi Putra, I B. Alit Swamardika
Computer Vision Syndrome (CVS) due to long-term computer use is the number one occupational hazard of the 21st century with internal, external, and visual symptoms. This research aims to evaluate the UI/UX of the Balinese writing learning application based on user experience. The evaluation uses the...
Proceedings Article
Modified K-Nearest Neighbor Optimization with Genetic Algorithm in Chronic Kidney Disease Classification
I W. Supriana, Cokorda Pramartha, I G. N. A. C. Putra, M. D. A. Raharja, P. P. K. Wiguna
Chronic kidney disease is a global health problem that requires early diagnosis for effective management. According to a WHO survey, in Indonesia alone it is estimated that around 70,000 cases occur each year, while the percentage increase in cases will occur by 46% from 1955–2025. Early detection of...
Proceedings Article
Optimizing Knapsack Allocation: The Preemptive Multiple Bounded Knapsack Problem
Aditya Ambarwati, Sobri Abusini, Vira Hari Krisnawati
The Multiple Bounded Knapsack Problem (MBKP) involves the task of allocating a set of items, each with bounded availability, into different knapsacks with the goal of maximizing the overall profit from the selected items while ensuring that the capacity of each knapsack is not exceeded. Knapsacks in...
Proceedings Article
Random Forest Classification for Calculating the Area of Mangrove Forest in Benoa Bali Bay
I Gede Arta Wibawa, I Ketut Gede Suhartana, Anak Agung Gde Raka Dalem
The Benoa Bay area in Bali is an interesting area to study because of its influence on the community’s economy and the presence of mangrove forests in overcoming the issue of climate change, especially in Bali. The extent of mangrove forests in the bay of the continent of Bali needs to always be observed...
Proceedings Article
Tomato Leaf Disease Classification with Optimized Hyperparameter: A DenseNet-PSO Approach
Cynthia Ayu Dwi Lestari, Syaiful Anam, Umu Sa’adah
Tomato stands out as one of the foremost horticultural crops worldwide, including in Indonesia that profoundly influences the agricultural economy. Tomato leaf disease poses a critical and direct threat to quality, yield, and overall production of tomato crops, demanding swift attention and action. Manual...
Proceedings Article
Traditional Balinese Song Educational Game Application Based on Speech Recognition Using the MFCC-ANN and Its Effect on Cognitive Load
M. A. Raharja, K. A. Mogi, I W. Supriana, Cokorda Pramartha, I G. N. A. C. Putra
Bali’s culture is in the form of literary arts which we must preserve. Tembang is a sound art that is built from various tunings and tones as singing materials. Tembang is one part of the literary arts that developed in Balinese society, and is divided into four, namely: Sekar Rare, Sekar Alit, Sekar...
Proceedings Article
User-Based Savings Application Increase Customer Satisfaction Cooperative
I K. G. Suhartana, I Gede Arta Wibawa
Technological developments are currently experiencing rapid development, many tools have been discovered in the field of information technology, one of which is Near-Field Communication (NFC). One implementation of NFC can be applied to the savings transaction system in cooperatives. The current general...
Proceedings Article
Web-Based Thesis Guidance Monitoring Information System Based on Quick Response Code Technology
I G. N. A. C. Putra, Cokorda Pramartha, M. A. RaHarja, I W. Supriana, I K. G. Suhartana, N. K. E. Dianasari
Thesis is one form of scientific writing created by students in the final stage of their studies. The Thesis is based on research results or studies on identified issues. During the execution or completion of the thesis, students are guided by a supervisor. One of the assessments in the Institutional...