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Diagnosis of Diseases of the Nose Using the Certainty Factor Method 使用确定性因子法诊断鼻部疾病
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.415
Lia Kusuma Wardani, Y. Maulita, I. G. Prahmana
{"title":"Diagnosis of Diseases of the Nose Using the Certainty Factor Method","authors":"Lia Kusuma Wardani, Y. Maulita, I. G. Prahmana","doi":"10.59934/jaiea.v3i2.415","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.415","url":null,"abstract":"The nose is the human respiratory organ and is a very important sense of smell for patients. Nasal polyps and sinus infections are several diseases that can affect the health of the nose. The nasal cavity reduces inflammation and protects the nasal passages. Many people think these symptoms are flu symptoms and do not immediately seek medical help. So many people find out too late that they have a nasal disease. Public understanding of nasal diseases is still lacking, so many people do not know clearly what disease they suffer from. The certainty factor is to measure something certain and uncertain when making a decision.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139774097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application UI UX Design Selling Laptops Online Using The Design Thinking Model 使用设计思维模型在线销售笔记本电脑的应用程序 UI UX 设计
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.430
Mutiara Jati, Finanta Okmayura, Nur Azizah, Nurhasni Zainal, Khusnul Adha
{"title":"Application UI UX Design Selling Laptops Online Using The Design Thinking Model","authors":"Mutiara Jati, Finanta Okmayura, Nur Azizah, Nurhasni Zainal, Khusnul Adha","doi":"10.59934/jaiea.v3i2.430","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.430","url":null,"abstract":"Nowadays, there are several online payment systems over the internet to serve the needs of online businesses. Buying and selling laptops online has become popular due to its convenience, wider selection, and competitive prices. Customers can browse various brands and models, compare features and prices from various sellers on e-commerce platforms. The purpose of this research is to design a mobile-based online laptop selling application that can make it easier for users to order laptops that are more efficient by using design thinking modeling. After designing the user interface, further testing is carried out using the System Usability Scale (SUS) approach which obtained a score of 65 which is at grade D, so it can be concluded that the design of the user interface of this laptop selling application is okay to be developed into a mobile-based application.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"19 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis Of Poverty Level Mapping In Riau Province Using The K-Means Method 使用 K-Means 方法分析廖内省的贫困程度分布图
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.414
Erlisa Santri, Dede Brahma
{"title":"Analysis Of Poverty Level Mapping In Riau Province Using The K-Means Method","authors":"Erlisa Santri, Dede Brahma","doi":"10.59934/jaiea.v3i2.414","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.414","url":null,"abstract":"This research aims to understand the pattern of poverty distribution in Riau Province, identify clusters that reflect similar characteristics and provide a basis for developing more targeted policies. This approach uses machine learning techniques, especially the K-Means algorithm, to form clusters based on poverty level data. The results of the analysis show cluster 0 (C0) with a high poverty level and cluster 1 (C1) with a low poverty level. K-Means proved effective in grouping areas with similar levels of poverty, and provided a strong foundation for further analysis. Evaluation results using the Adjusted Rand Index (ARI), Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index show that the quality of cluster formation is good. This analysis provides detailed insight into poverty patterns in Riau Province and provides an empirical basis for implementing more contextual policies.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"33 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application for Recommending Tourist Attractions on The Island of Java with Content Based Filtering Using Cosine Similarity 利用余弦相似性内容过滤推荐爪哇岛旅游景点的应用程序
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.429
Mutiara Sovina, Yusfrizal Yusfrizal, F. Harahap, Ivi Lazuly
{"title":"Application for Recommending Tourist Attractions on The Island of Java with Content Based Filtering Using Cosine Similarity","authors":"Mutiara Sovina, Yusfrizal Yusfrizal, F. Harahap, Ivi Lazuly","doi":"10.59934/jaiea.v3i2.429","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.429","url":null,"abstract":"Indonesia is a country with a high level of tourism, with natural beauty and historical places and other tourist destinations that continue to develop from year to year. Java Island is one of the islands visited by many tourists with various tourist attractions. Currently, many tourists like to travel, but during holidays tourists are confused about which tourist destination to visit. With advances in internet technology and the abundance of information in online media, it can make it easier for tourists to find information, but because there is so much information provided, it will make tourists confused about deciding and choosing a place. A tourist recommendation application is very necessary to provide good recommendation accuracy to make it easier for tourists to find tourist destinations according to the desired category. To get the best results, the Content Based Filtering method using Cosine Similarity used in this research will provide several tourist recommendations according to the level of similarity of various cities on the island of Java.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"23 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139836150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Augmented Reality-Based 3D Technology Learning Media for Human Respiratory Organs 基于增强现实技术的人体呼吸器官 3D 学习媒体
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.431
Cherly Evanjeli, Novi Aryani Fitri, Yasir Arafat, Suharsono
{"title":"Augmented Reality-Based 3D Technology Learning Media for Human Respiratory Organs","authors":"Cherly Evanjeli, Novi Aryani Fitri, Yasir Arafat, Suharsono","doi":"10.59934/jaiea.v3i2.431","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.431","url":null,"abstract":"Augmented Reality (AR) technology is selected for seamlessly integrating virtual objects into the real world. Users can represent objects in three dimensions, offering an interactive, real-time experience. The educational sector widely embraces Augmented Reality due to its interactive and timely advantages. This study focuses on the human respiratory system, demonstrating Augmented Reality's efficacy as an interactive learning tool for understanding respiratory organs. The learning material utilizes three-dimensional visualizations with animations, sound, and vibrant colors, enhancing comprehension and preventing boredom. Employing the Multimedia Development Method and software tools like Unity 3D, Blender, CorelDraw, Vuforia, and Visual Studio Code, the research produces a learning media application facilitating the understanding of human respiratory organs. Evaluation through questionnaires, with a 93.16% approval rate from teachers and students, confirms the application's suitability as an effective learning tool.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"103 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139836309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sunda Script Detection Using You Only Look Once Algorithm 使用 "只看一次 "算法检测 Sunda 脚本
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.443
Daffa Arifadilah, Asriyanik, Agung Pambudi
{"title":"Sunda Script Detection Using You Only Look Once Algorithm","authors":"Daffa Arifadilah, Asriyanik, Agung Pambudi","doi":"10.59934/jaiea.v3i2.443","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.443","url":null,"abstract":"The Sundanese script is a writing system used in the Sundanese language, one of the regional languages of West Java, Indonesia. This study investigates the use of the YOLO v8 algorithm for the real-time video detection of Sundanese script. Various versions of YOLO v8, including YOLO v8n, v8s, v8m, v8l, and v8x, were tested to determine the most effective model. After a comprehensive evaluation involving the analysis of mean Average Precision (mAP), F1-Confidence, and precision, the study selected the YOLO v8s model as the primary detection method. YOLO v8s demonstrated superior performance with the highest mAP of 98.835%, an F1-Confidence of  98%, and a precision of 76,2%. This choice was based on a balance between high accuracy and computational efficiency. The results indicate significant potential for object recognition technology in the learning and preservation of Sundanese script.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"110 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139776850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sunda Script Detection Using You Only Look Once Algorithm 使用 "只看一次 "算法检测 Sunda 脚本
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.443
Daffa Arifadilah, Asriyanik, Agung Pambudi
{"title":"Sunda Script Detection Using You Only Look Once Algorithm","authors":"Daffa Arifadilah, Asriyanik, Agung Pambudi","doi":"10.59934/jaiea.v3i2.443","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.443","url":null,"abstract":"The Sundanese script is a writing system used in the Sundanese language, one of the regional languages of West Java, Indonesia. This study investigates the use of the YOLO v8 algorithm for the real-time video detection of Sundanese script. Various versions of YOLO v8, including YOLO v8n, v8s, v8m, v8l, and v8x, were tested to determine the most effective model. After a comprehensive evaluation involving the analysis of mean Average Precision (mAP), F1-Confidence, and precision, the study selected the YOLO v8s model as the primary detection method. YOLO v8s demonstrated superior performance with the highest mAP of 98.835%, an F1-Confidence of  98%, and a precision of 76,2%. This choice was based on a balance between high accuracy and computational efficiency. The results indicate significant potential for object recognition technology in the learning and preservation of Sundanese script.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"107 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139836276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis Sentiment On Social Media Instagram Towards Metaverse Games Saindbox Aplha 2 With Support Vector Machine Algorithm 利用支持向量机算法分析社交媒体 Instagram 上的情感，从而实现 Metaverse Games Saindbox Aplha 2
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.230
I. G. Prahmana, Kristina Annatasia Br Sitepu, Selfira
{"title":"Analysis Sentiment On Social Media Instagram Towards Metaverse Games Saindbox Aplha 2 With Support Vector Machine Algorithm","authors":"I. G. Prahmana, Kristina Annatasia Br Sitepu, Selfira","doi":"10.59934/jaiea.v3i2.230","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.230","url":null,"abstract":"Metaverse is part from development technology in the metaverse SandBox Alpha 2 Game world taking place worldwide , games in the virtual world like real very possible thing done . metaverse now Already in progress for can be implemented most affected technology to opinion from particular society _ enthusiasts game metaverse saydbox alpha 2. where game can create her world alone and various game For look for missions and coins can make money to sell _ in metaverse sandbox alpha. since emergence exists game that has been appeared on facebook that has been replaced be meta, create attention world public increasingly highlight technology this , someone _ welcome game the with good and some have _ worries to development technology the . So study This will dig analysis sentiment public Indonesia against development and use metaverse technology uses method algorithm Algorithm Support Vector Machine. analysis sentiment that will done on social media Facebook. Programming language used _  is  Language  Jupyter Notebook Python. Study This get results opinion  public  Indonesia  to  metaverse technology that shows  behave neutral , negative and positive .","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"62 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Segmentation Algorithm K – Means Based On The Maturity Level Of Blueberries 基于蓝莓成熟度的 K - 平均值分割算法
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.433
Aditya Putra Prananda, A. M. H. Pardede, Rahmadani
{"title":"Segmentation Algorithm K – Means Based On The Maturity Level Of Blueberries","authors":"Aditya Putra Prananda, A. M. H. Pardede, Rahmadani","doi":"10.59934/jaiea.v3i2.433","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.433","url":null,"abstract":"Traditionally, farmers and consumers have determined the ripeness of blueberries by manual means, such as observing the color, pores, and skin of blueberry fruits. Such recognition takes a relatively long time and gives rise to different levels of maturity because people have visual limitations in recognition, fatigue levels and differences of opinion about good maturity. Consumers tend to pay attention to aspects such as the striking color and size of blueberries, but do not know how ripe and nutritious the fruit is for consumption. Several image processing techniques were used in this study, including image segmentation for segmentation based on color features, expansion and contraction operations to remove noise, and naming fruit objects using recursive component labeling methods. This is followed by separation and training of geometric features and colors. At the time of testing, a classification of the degree of maturity and type of fruit of the object is carried out. To more accurately identify the degree of ripeness of the fruit, check the geometric features and characteristic values of the color content. Range values are determined by statistical methods such as mean and standard deviation. Using the K-Means algorithm to segment blueberry imagery, the study aimed to develop an efficient method to distinguish blueberry ripeness levels automatically. It can help classify and group blueberries according to their degree of maturity. In addition, the results of this study can also be used for quality control of blueberries in the agricultural industry or for fruit marketing applications.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"404 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139834279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis Of Poverty Level Mapping In Riau Province Using The K-Means Method 使用 K-Means 方法分析廖内省的贫困程度分布图
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2024-02-15 DOI: 10.59934/jaiea.v3i2.414
Erlisa Santri, Dede Brahma
{"title":"Analysis Of Poverty Level Mapping In Riau Province Using The K-Means Method","authors":"Erlisa Santri, Dede Brahma","doi":"10.59934/jaiea.v3i2.414","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.414","url":null,"abstract":"This research aims to understand the pattern of poverty distribution in Riau Province, identify clusters that reflect similar characteristics and provide a basis for developing more targeted policies. This approach uses machine learning techniques, especially the K-Means algorithm, to form clusters based on poverty level data. The results of the analysis show cluster 0 (C0) with a high poverty level and cluster 1 (C1) with a low poverty level. K-Means proved effective in grouping areas with similar levels of poverty, and provided a strong foundation for further analysis. Evaluation results using the Adjusted Rand Index (ARI), Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index show that the quality of cluster formation is good. This analysis provides detailed insight into poverty patterns in Riau Province and provides an empirical basis for implementing more contextual policies.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139835477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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