Journal of Applied Engineering and Technological Science最新文献_第9页

Smart Trash Bin for Management of Garbage Problem in Society 用于管理社会垃圾问题的智能垃圾箱

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-29 DOI: 10.37385/jaets.v4i1.1015

Aldiga Rienarti Abidin, Yuda Irawan, Yesica Devis

{"title":"Smart Trash Bin for Management of Garbage Problem in Society","authors":"Aldiga Rienarti Abidin, Yuda Irawan, Yesica Devis","doi":"10.37385/jaets.v4i1.1015","DOIUrl":"https://doi.org/10.37385/jaets.v4i1.1015","url":null,"abstract":"Along with the times, one of the environmental problems faced today is the waste problem. Every day humans will produce waste, both industrial waste and household waste in everyday life. Garbage will become an environmental problem because it can interfere with human health, cause bad smells and even air pollution. Poor waste management causes harmful and unhealthy environmental problems. Sometimes people are reluctant when they want to dispose of garbage by opening and closing the trash can so it is feared that they will get bacteria on their hands. The problem of environmental waste can arise from waste management that unites all types of organic and inorganic waste in the same place, making it difficult to recycle waste. Another problem is that sometimes the cleaners are negligent in emptying the full trash can, so it will cause a bad smell. Based on the above problems, it is necessary to make a smart trash bin which will later be able to sort out the types of organic and inorganic waste. The lid of the trash can will open automatically when someone wants to throw out the trash and it will close automatically when it's finished taking out the trash. With the waste sorting technology, it will automatically reduce environmental pollution by waste, and facilitate waste management so that it can be recycled again. To overcome the bins that are full for too long, if the trash is full, it will automatically notify the cleaners via Telegram messages. From the test results, it can be concluded that the ultrasonic sensor can detect if someone is approaching with a maximum distance of 50 cm so that the cover can be opened automatically for 7 seconds. The servo motor can rotate the waste sorter according to the type of organic or inorganic waste based on the detection results of the capacitive proximity sensor. The telegram message has been successfully sent if the garbage condition has been fully detected through the ultrasonic sensor. LCD can display the type of organic or inorganic waste accurately.","PeriodicalId":34350,"journal":{"name":"Journal of Applied Engineering and Technological Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47071428","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: 1

Design of The Population Information System in The Village of Pajajaran Pajajaran村人口信息系统的设计

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-18 DOI: 10.37385/jaets.v4i1.1012

I. Nugraha, Falaah Abdussallam

引用次数: 3

Health Detection of Betal Leaves Using Self-Organizing Map and Thresholding Algorithm 基于自组织映射和阈值算法的Betal树叶健康检测

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-18 DOI: 10.37385/jaets.v4i1.957

Dadang Iskandar Mulyana, Ahmad Saepudin, M. Yel

引用次数: 1

Applications Know Preparation for Earthquakes for Elementary School Students 为小学生准备的地震应用知识

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-17 DOI: 10.37385/jaets.v4i1.995

Rian Farta Wijaya, Ataya Putri, H. Hermansyah, Nova Mayasari, Rio Septian Hardinata, Mochammad Iswan Perangin-angin

引用次数: 5

Sign Language Detection System Using Adaptive Neuro Fuzzy Inference System (ANFIS) Method 基于自适应神经模糊推理系统(ANFIS)的手语检测系统

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-17 DOI: 10.37385/jaets.v4i1.967

D. Iskandar, M. Yel, Eka Maheswara

引用次数: 1

Design of Appropriate Technology Based on Waste Treatment Equipment Using Value Engineering Method in Kedung Turi 基于价值工程方法的科东Turi垃圾处理设备适宜工艺设计

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-11 DOI: 10.37385/jaets.v4i1.965

Sultan Afli, B. I. Putra

引用次数: 1

Classification of Edelweiss Flowers Using Data Augmentation and Linear Discriminant Analysis Methods 利用数据增强和线性判别分析方法对雪绒花进行分类

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-10 DOI: 10.37385/jaets.v4i1.960

Fransiscus Rolanda Malau, Dadang Iskandar Mulyana

引用次数: 0

Classification of Melinjo Fruit Levels Using Skin Color Detection With RGB and HSV 基于RGB和HSV肤色检测的梅林乔果实等级分类

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-10 DOI: 10.37385/jaets.v4i1.958

D. Iskandar, M. Marjuki

{"title":"Classification of Melinjo Fruit Levels Using Skin Color Detection With RGB and HSV","authors":"D. Iskandar, M. Marjuki","doi":"10.37385/jaets.v4i1.958","DOIUrl":"https://doi.org/10.37385/jaets.v4i1.958","url":null,"abstract":"This study aims to detect the ripeness of melinjo fruit using digital image method. Structured identification or division using image processing and computer vision requires the socialization of patterns based on training datasets. Melinjo (Gnetum gnemon L.) is a plant that can grow anywhere, such as yards, gardens, or on the sidelines of residential areas, as a result, produces melinjo into a plant that has relatively large potential to be developed. The process of image processing and pattern socialization is a highly developed research study. Starting based on the process of socializing an object, or a structured division of the object and about detecting the level of fruit maturity. The structured division process regarding ripeness into 3 classes, namely: raw, half-cooked and ripe where the process is carried out using Google Collaboratory which processes the RGB color space to HSV. In this study, the testing method for the system that will be used is a functional test where the test is carried out only by observing the execution results through test data and checking the functionality of the system being developed. The level of accuracy obtained from this study is 98.0% correct.","PeriodicalId":34350,"journal":{"name":"Journal of Applied Engineering and Technological Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47862766","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: 4

Classification of Booster Vaccination Symptoms Using Naive Bayes Algorithm and C4.5 基于朴素贝叶斯算法和C4.5的强化疫苗症状分类

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-10 DOI: 10.37385/jaets.v4i1.941

Rudi Tri Jaya, Tri Wahyudi

{"title":"Classification of Booster Vaccination Symptoms Using Naive Bayes Algorithm and C4.5","authors":"Rudi Tri Jaya, Tri Wahyudi","doi":"10.37385/jaets.v4i1.941","DOIUrl":"https://doi.org/10.37385/jaets.v4i1.941","url":null,"abstract":"Covid-19 is a respiratory infection that is transmitted through the air. The first case was reported on March 2, 2020, to be precise in Depok, West Java, Indonesia. To reduce the number of corona virus sufferers, the government has made various efforts including policies to limit activities outside the home, online learning, work from home, and even worship activities. To reduce the number of people infected with the Covid-19 virus, efforts are being made, one of which is the provision of vaccines. In this study, the types of booster vaccines are Pfizer and AstraZeneca. Due to the symptoms caused by the condition of the patient after vaccination, the researchers used the Naive Bayes Algorithm and C4.5 methods with attributes including gender, age, comorbidities (comorbidities), temperature, blood pressure, Covid 19 survivors > 1 month, pregnant condition, type of vaccine. primer and booster vaccine types which aim to get the highest accuracy value between the two algorithm methods which are tested using cross validation on the RapidMiner Studio tool. And obtained the Naive Bayes algorithm method with the highest accuracy value of 78.82%. \u0000Keywords: Covid 19, booster, AEFI, Naive Bayes, C4.5, Rapid Miner","PeriodicalId":34350,"journal":{"name":"Journal of Applied Engineering and Technological Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44594212","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: 1

Classification of Durian Types Using Features Extraction Gray Level Co-Occurrence Matrix (GLCM) AND K-Nearest Neighbors (KNN) 利用特征提取灰度共生矩阵（GLCM）和K近邻（KNN）对榴莲类型进行分类

Journal of Applied Engineering and Technological Science Pub Date : 2022-09-09 DOI: 10.37385/jaets.v4i1.959

Frencis Matheos Sarimole, Achmad Syaeful

{"title":"Classification of Durian Types Using Features Extraction Gray Level Co-Occurrence Matrix (GLCM) AND K-Nearest Neighbors (KNN)","authors":"Frencis Matheos Sarimole, Achmad Syaeful","doi":"10.37385/jaets.v4i1.959","DOIUrl":"https://doi.org/10.37385/jaets.v4i1.959","url":null,"abstract":"Durian is one of the most popular fruits because it has a delicious taste and distinctive aroma. It has different shapes and types, especially from thorns and different colors and has fruit parts that are also not the same as other parts. In terms of fruit selection, care must be taken because consumers generally still find it difficult to distinguish physically identified types of Durian fruit due to limited knowledge of the types of Durian fruit and require a relatively long time and accuracy in sorting. Therefore, there is a need for a method to sort the types of Durian fruit effectively and efficiently. Namely image segmentation based on the classification of the types of Durian fruit to help consumers. The method used is Gray Level Co-Occurrence Matrices for feature extraction, while to determine the proximity between the test image and the training image using the K-Nearest Neighbor method based on texture based on the color of the Durian fruit obtained. Extraction features using the GLCM method based on angles of 0°, 45°, 90° and 135°. Then the KNN method is used for the classification of characteristic results using K = 3. In this study, 1281 data training was used and 321 data testing was used, resulting in an accuracy of 93%.","PeriodicalId":34350,"journal":{"name":"Journal of Applied Engineering and Technological Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45570117","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: 3