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":"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":"139774611","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}
{"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":"245 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139833766","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}
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":"224 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139834710","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}
Rozaq Habibi, I. G. Prahmana, Indah Ambarita, Lina Arliana Nur Kadim
{"title":"Prediction Analysis of Literacy Numeracy and Technology Adaptation Abilities of Students Who Participate in Teaching Campuses Using the KNN Algorithm","authors":"Rozaq Habibi, I. G. Prahmana, Indah Ambarita, Lina Arliana Nur Kadim","doi":"10.59934/jaiea.v3i2.437","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.437","url":null,"abstract":"Literacy and numeracy skills, technological adaptation carried out by students during the Ministry of Education and Culture's campus teaching program are influenced by the limited competencies possessed by students which are not in accordance with the study program and learning can be influenced by location, network and distance to school, influencing independent campus program activities which are less effective. and efficient in teaching. So the learning and teaching process when students are on site inspection is primarily and foremost when students carry out observations at the target school. Literacy is the process of training students in the knowledge of reading techniques. Numeracy is the process of training students in knowledge of counting techniques and technological adaptation which plays a very important role in influencing digital literacy and numerization. Students and teachers still experience difficulties in the field of hardware technology and many still have low knowledge in carrying out and implementing technological adaptation in schools. with location, network and distance for schools in remote areas. Higher education greatly influences the teaching competence of students who take part in campus teaching programs. So students carry out literacy, numerization and technology adaptation programs according to their study program. Assist the campus in analyzing the campus teaching competency of the Ministry of Education, Culture and Research and Technology's campus teaching program using the K-Nearst Neighbor algorithm. By predicting the level of teaching competency, students in the campus teaching program can know the teaching competency abilities of students who take part in the campus teaching program . Based on testing using 35 test data, the value K = 3 predicts the level of teaching quality and competency so that the system accuracy is 75%, proven by testing the Python programming language system.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"13 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775326","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}
{"title":"Implementation of the Laplacian of Gaussian Algorithm in Edge Detection Image Processing of Zebra Cross Damage on Highways in the Langkat Regency Area","authors":"Ratih Puspadini, Melda Pita Uli Sitompul","doi":"10.59934/jaiea.v3i2.442","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.442","url":null,"abstract":"Walking is part of the traveler's movement and is the simplest means of transportation, but it is in a weak position and prone to conflict or accidents when they mix with other modes of transportation. To protect pedestrians, special facilities are needed, one of which is a crossing place (zebra crossing) that is able to serve according to pedestrian needs. Based on Law No. 22 of 2009 concerning Traffic Polytechnic Land Transportation Bali 46 Cross and Road Transportation, article 131 paragraph (2), it is stated that \"Pedestrians are entitled to priority when crossing the road at the crosswalk\". One of the important meanings for human life is the Way. Roads are used as a means of transportation that has a very useful role in efforts to develop human life. In 2018, based on statistical data, the number of motorized vehicle users in Indonesia is increasing every year to reach 146,858,759 units. The impact that occurs is that there are many Zebra Cross roads damaged with conditions that are very troubling and worrying for road users. Among the causes of zebra crossing being damaged will be traffic accidents where the vehicle does not lag obeying the path of the vehicle following the predetermined lane. So this study detects image processing with the Laplacian of Gaussian algorithm with edge detection making it easier for the government to improve traffic signs of zebra crossing images on highways that are worthy of improvement so that accidents do not occur. The results of this study illustrate the image of being able to see damaged zebra crossings with calculations of the Laplacian of Gaussian algorithm.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"48 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775597","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}
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":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139834906","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}
{"title":"Classification of Public Sentiment Toward 2024 Presidential Candidates on Social Media Platform X Using Naïve Bayes Algorithm","authors":"Ramdhan Hakiki, Agung Pambudi, Asriyanik","doi":"10.59934/jaiea.v3i2.422","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.422","url":null,"abstract":"This research examines the use of Naïve Bayes algorithm to classify public sentiment on social media X towards Indonesia's 2024 presidential candidates. Against the backdrop of the importance of presidential elections in a democracy, this research focuses on analyzing public sentiment from June to August 2023. The Naïve Bayes method was chosen to process review data about the three main candidates. The classification results provide insight into the positive and negative sentiments of the public, providing benefits for political parties and researchers in understanding public opinion. This research also enhances the understanding of sentiment classification in a political context and provides readers with a useful reference on the Naïve Bayes approach to sentiment classification. In terms of accuracy, the developed naïve bayes model shows a success rate with an accuracy of 74% for Anies Baswedan, 74% for Ganjar, and 88% for Prabowo.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"214 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139833790","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}
{"title":"Web-Based Tuition Payments Information System At Al-Wafi Kindergarten","authors":"Suci Ramadani, Intan Meily","doi":"10.59934/jaiea.v3i2.439","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.439","url":null,"abstract":"The tuition payment system at AL-WAFI Kindergarten is still done manually, that is, recording is done using a tuition payment notebook. Which can cause errors in recording SPP payment data or mistakes in calculating SPP payments, the process of recording and making SPP payment reports takes a long time. Several other problems were also found that were often complained about, namely the difficulty of collecting separate SPP payment data in several financial books. This slows down the payment process, recording and reporting payments. This causes the process related to SPP payments to not run optimally. To overcome all the problems above, the author proposes to design and build supporting applications such as database systems so that processing of tuition payments is more effective and efficient, and can also simplify operational activities in schools. This system was designed and built using the PHP (Hypertext Preprocessor) programming language and MYSQL as the database.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139776272","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}
Rozaq Habibi, I. G. Prahmana, Indah Ambarita, Lina Arliana Nur Kadim
{"title":"Prediction Analysis of Literacy Numeracy and Technology Adaptation Abilities of Students Who Participate in Teaching Campuses Using the KNN Algorithm","authors":"Rozaq Habibi, I. G. Prahmana, Indah Ambarita, Lina Arliana Nur Kadim","doi":"10.59934/jaiea.v3i2.437","DOIUrl":"https://doi.org/10.59934/jaiea.v3i2.437","url":null,"abstract":"Literacy and numeracy skills, technological adaptation carried out by students during the Ministry of Education and Culture's campus teaching program are influenced by the limited competencies possessed by students which are not in accordance with the study program and learning can be influenced by location, network and distance to school, influencing independent campus program activities which are less effective. and efficient in teaching. So the learning and teaching process when students are on site inspection is primarily and foremost when students carry out observations at the target school. Literacy is the process of training students in the knowledge of reading techniques. Numeracy is the process of training students in knowledge of counting techniques and technological adaptation which plays a very important role in influencing digital literacy and numerization. Students and teachers still experience difficulties in the field of hardware technology and many still have low knowledge in carrying out and implementing technological adaptation in schools. with location, network and distance for schools in remote areas. Higher education greatly influences the teaching competence of students who take part in campus teaching programs. So students carry out literacy, numerization and technology adaptation programs according to their study program. Assist the campus in analyzing the campus teaching competency of the Ministry of Education, Culture and Research and Technology's campus teaching program using the K-Nearst Neighbor algorithm. By predicting the level of teaching competency, students in the campus teaching program can know the teaching competency abilities of students who take part in the campus teaching program . Based on testing using 35 test data, the value K = 3 predicts the level of teaching quality and competency so that the system accuracy is 75%, proven by testing the Python programming language system.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"78 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139834914","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}
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":"23 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139776497","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}