Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023)
25 articles
Proceedings Article
Peer-Review Statements
Andiko Putro Suryotomo, Heru Cahya Rustam Aji
All of the articles in this proceedings volume have been presented at the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023) during November 29 − 30 in Yogyakarta, Indonesia. These articles have been peer reviewed by the members of the Scientific...
Proceedings Article
The Classification of Ultraviolet Index Using Logistic Regression and Random Forest methods for Predicting Extreme Conditions
Alfin Syarifuddin Syahab, Galih Langit Pamungkas, Saif Akmal
The Ultraviolet (UV) index is one of the most important markers for estimating potential exposure to harmful sun radiation. For the purpose of managing public health and environmental monitoring, it is imperative to predict high UV levels accurately. A study was designed and analyzed that used methodologies...
Proceedings Article
The Effect of Implementing Profile Matching Algorithm on Computation Time on Barebone Type Mechanical Keyboard Recommendations
Herlina Jayadianti, Fathurrohman, Budi Santosa, Dessyanto Boedi Prasetyo, Awang Hendrianto Pratomo
The research aims to determine the comparison of computing time between the AHP method and a combination of AHP and profile matching on a certain amount of data. Apart from that, this research is also aimed at building a system that can provide recommendations for barebone mechanical keyboards based...
Proceedings Article
Classification of Planktonic Foraminifera Fossil Types with Feature Optimization of Support Vector Machine (SVM) Algorithm Using Particle Swarm Optimization (PSO)
Herlina Jayadianti, Dhimas Wahyu Asshidiq, Budi Santosa, Siti Umiyatun Choiriah, Frans Richard Kodong, Bambang Yuwono
Objective: To build a Support Vector Machine model with a good Particle Swarm Optimization parameter selection algorithm for object classification in images. Can determine the best features used for classification in the Support Vector Machine algorithm using Particle Swarm Optimization feature optimization....
Proceedings Article
The Response Rank based Fault-tolerant Task Scheduling for Cloud System
Sheikh Umar Mushtaq, Sophiya Sheikh, Ajay Nain
A cloud computing platform has higher failure rates because of its highly dynamic nature and running of concurrent applications. However, the outcomes of running concurrent applications won’t be accurate without VM synchronization. The issue of coordination between many virtual machines (VMs) is their...
Proceedings Article
SIBI Dynamic Gesture Translation Using MediaPipe and Long Short-Term Memory in Real-Time
Rivano Ardiyan Taufiq Kurniawan, Wilis Kaswidjanti
Commonly used image processing classification methods like Artificial Neural Network and Convolutional Neural Network are considered successful for sign language identification. However, they perform well only with static data and face limitations in handling sequential and dynamic data like Indonesian...
Proceedings Article
Topic modeling on Natural Tourism Objects in West Bandung Regency Based on Reviews from Google Maps with the Latent Semantic Analysis (LSA) Method
I G. N. A. Agni Prema N, Faqih Hamami, Ekky Novriza Alam
The COVID-19 pandemic has prompted a transformation in Indonesia’s tourism sector to accommodate changes in traveler preferences during the pandemic and to stabilize the tourism industry post-pandemic. West Bandung Regency, renowned for its abundant natural attractions, holds significant potential for...
Proceedings Article
Harnessing Emotions for Effective Online Learning: A Systematic Review of Emotion Recognition Techniques
Mangaras Yanu Florestiyanto, Herman Dwi Surjono, Handaru Jati
The growing utilization of computer vision technology to enhance learning settings has captivated contemporary literature in the field of educational research. The integration of affective tutoring systems (ATS), student emotion recognition systems (SERS), sentiment analysis, and multi-agent systems...
Proceedings Article
Optimizing Brain Tumor Segmentation Through CNN U-Net with CLAHE-HE Image Enhancement
Shoffan Saifullah, Andiko Putro Suryotomo, Rafał Dreżewski, Radius Tanone, Tundo Tundo
Accurate segmentation of brain tumors in medical images is paramount for precise diagnosis and treatment planning. In this study, we introduce a robust approach for brain tumor segmentation employing Convolutional Neural Networks (CNNs) with Contrast-Limited Adaptive Histogram Equalization (CLAHE) and...
Proceedings Article
Implementation of Codeigniter Framework in the Development of Orchid Database Collection Information System Using Extreme Programming Method
Restu Siwi Muharromah, Irni Furnawanthi Hindaningrum, Bayu Rizky Maulana, Kasandra Budiarni, Maily Maily
Forest is an ecosystem consisting of land and natural resources, primarily dominated by trees, living in harmony with the environment and cannot be isolated from each other. Orchids, not only as a component of tropical forest systems, but also because they have many benefits and the potential to be man-...
Proceedings Article
Aspect-Based Sentiment Analysis on Natural Tourism in West Bandung Using Multinomial Logistic Regression Algorithm
Tammara Audina Putri, Faqih Hamami, Ekky Novriza Alam
Now is the moment for the tourism market to recover after being hit by the Covid disaster. This recovery is accompanied by improvements in various aspects related to the tourism sector by the government, including the Tourism and Culture Office of West Java Province. Given the immense potential of the...
Proceedings Article
Advancement of a Web-Based Information System for Radio Scheduling at Radio Balikpapan in Pursuit of the Smart City Vision for the Archipelago Capital
Shinta Palupi, Gunawan, Richki Hardi, Hidayatulah Himawan
In the era of digital transformation, the advancement of technology plays a vital role in the development of modern cities. Balikpapan, one of the cities in Indonesia, aspires to become a smart city by leveraging innovative solutions to enhance the quality of life for its citizens. Radio Indonesia in...
Proceedings Article
EfficientNet B0-Based RLDA for Beef and Pork Image Classification
Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo, Rochmat Husaini, Bagus Muhammad Akbar
This study employs a novel approach to enhance the classification of beef and pork images using EfficientNet B0 as a feature extractor and Regularized Linear Discriminant Analysis (RLDA) for analysis. The integration of EfficientNet B0 and RLDA significantly improves beef recognition performance. In...
Proceedings Article
An improvement of Ad hoc On-demand Vector Routing Protocol with buffer queue metric
Van Vuong Ngo
The ad hoc on-demand distance vector (AODV) is a routing protocol that is usually used in the mobile ad hoc networks (MANETs) and other wireless ad hoc networks. The AODV is a reactive protocol, so a source node will use control messages to find routes to a destination node whenever there are data packets...
Proceedings Article
Scrum Implementation using ClickUp on Rentors Website Application Development
Syafira Widiyanti, Simon Pulung Nugroho
The Scrum methodology has been chosen as the software development approach for building the Rentors website application, as it can generate adaptive solutions to complex problems through iterative stages. Collaboration and team member management are essential to completing these stages. ClickUp is implemented...
Proceedings Article
Analysis on E-Commerce Usage Adoption Based on Technology, Organization, and Environment at MSMEs in Balikpapan
I Putu Deny Arthawan Sugih Prabowo, Nursanti Novi Arisa, Muhammad Arifansyah
Covid-19 pandemic has had an impact on MSMEs in Indonesia to be able to maintain their business through the role of digitalization. Not only due to Covid-19 pandemic factor, Digital transformation in MSMEs today can be influenced by several factors, with a factor is the role of the government. Indonesian...
Proceedings Article
Enhancing Chili Farming through IoT-Enabled Microclimate Monitoring
Mareli Telaumbanua, Febryan Kusuma Wisnu, Saut Edo Riko Manurung, Yessi Erika, Budianto Lanya, Agus Haryanto
This research aims to design a microclimate monitoring system for chili plant cultivation using a microcontroller and Internet of Things (IoT) technology. The study addresses the issue of farmers’ limited ability to monitor climate change. The proposed system consists of components such as the ATmega2560...
Proceedings Article
Information Security Index (ISI) 4.2 for Information Security Evaluation (Case Study: Sleman Regency Communication and Informatics Office)
Herry Sofyan, Wilis Kaswidjanti, Luqiyyatus Shoubatil Ilmiyah
This research aims to provide an overview of the current conditions related to the readiness (completeness and maturity) of information security and ensure information security is in accordance with applicable standards and can find out what should be improved in information security from various fields...
Proceedings Article
COVID-19 Detection Using Audio Processing: A Systematic Literature Review
Arifa Fauziya, Armein Z. R. Langi
This paper reports a systematic literature review regarding (i) datasets, (ii) processing algorithms, and (iii) their corresponding performance of cough audio processing based on COVID-19 disease detection. Early detection of respiratory diseases that is fast, practical, non-intrusive, and affordable...
Proceedings Article
Monitoring System Heartbeat Detection Based on Internet of Things (IoT) IBM Bluemix
Andry Fajar Zulkarnain, Gunawan Rudi Cahyono, Arief Trisno Eko Suryo, Akhmad Ghiffary Budianto
The design of this system is a real-time measurement of heart rate based on the Internet of Things (IoT) method of IBM Bluemix. Analysis of ECG (electrocardiogram) is using the help of sensors AD8232 and Arduino as useful hardware to determine the frequency of the patient’s heartbeat. The results of...
Proceedings Article
Stability Margin When Wind Turbine Large Scale Penetrated to South Sulawesi-Indonesia Power System Using Optimally Pruned Extreme Learning Machine (OPELM)
Indar Chaerah Gunadin, Zaenab Muslimin, Armin Lawi, Gassing Gassing, Elly Warni, Safrizal Safrizal, Agus Siswanto
The objective of this study is to determine the distance to the point of power system instability that occurs when wind turbine power output suddenly changes. The introduction of large-scale wind turbines affects the stability of the power system, and the intermittency factor has a significant influence...
Proceedings Article
Enhancing Exchange Rate Forecasting: Leveraging Adaptive Moment Estimation in Deep Long Short Term Memory Models Against Foreign Currencies
Sugeng D. Cahyono, Oliver S. Simanjuntak, Heru C. Rustamaji
This study focuses on constructing a forecasting model for the Indonesian Rupiah exchange rate against the USD and JPY using DLSTM-ADAM. Exchange rate data from October 2014 to October 2022, sourced from the API website https://ofx.com, is utilized. The preprocessing stages involved normalization and...
Proceedings Article
Enhancing Semi-Supervised Sentiment Analysis Through Hyperparameter Tuning Within Iterations: A Comparative Study Using Grid Search and Random Search
Agus Sasmito Aribowo, Nur Heri Cahyana, Yuli Fauziah
Improper placement of hyperparameter tuning in the semi-supervised sentiment analysis process can potentially decrease processing speed and fail to enhance performance. This research explores the impact of hyperparameter tuning within iterations of semi-supervised sentiment analysis. Two architectural...
Proceedings Article
User Centered Design Method Approach for User Experience Analysis of Food Delivery Application
Yuli Fauziah, Kezia Melisa, Herlina Jayadianti
Online food delivery applications, especially the Pizza Hut application, are very helpful for people to order online delivery throughout Indonesia branches with various features and services in the application. Based on initial interviews with application users, users want and update the Pizza Hut application...
Proceedings Article
Implementation of Microservice Architecture in MSMEs Product Management System
Abdillah Mustamin, Simon Pulung Nugroho
Micro, small, and medium enterprises (MSMEs) are the backbone of the Indonesian economy, but they face challenges in accessing markets and promoting their products. Applications can help MSMEs showcase their products and make it easier for consumers to see information about MSMEs they want to visit or...