Ilkom Jurnal Ilmiah最新文献_第8页

LSTM-based Multivariate Time-Series Analysis: A Case of Journal Visitors Forecasting 基于lstm的多元时间序列分析:以期刊访客预测为例

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1106.57-62

Anggie Wahyu Saputra, A. Wibawa, U. Pujianto, Agung Bella Putra Utama, A. Nafalski

引用次数: 3

Detection System of Strawberry Ripeness Using K-Means 基于K均值的草莓成熟度检测系统

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1054.25-31

Dolly Indra, Ramdan Satra, Huzain Azis, Abdul Rachman Manga’, Harlinda L

引用次数: 2

The Implementation of Artificial Neural Network (ANN) on Offline Cursive Handwriting Image Recognition 人工神经网络在脱机手写体图像识别中的实现

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1113.63-73

F. Fitrianingsih, Diana Tri Susetianingtias, Dody Pernadi, Eka Patriya, Rini Arianty

引用次数: 2

Comparison of Support Vector Machine and XGBSVM in Analyzing Public Opinion on Covid-19 Vaccination 支持向量机与XGBSVM在Covid-19疫苗接种民意分析中的比较

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1090.32-38

Rahmaddeni Rahmaddeni, M. K. Anam, Yuda Irawan, S. Susanti, M. Jamaris

引用次数: 3

Particle Swarm optimization-based Neural Network method for predicting satisfaction of recipients of internet data quota assistance from the ministry of education and culture 基于粒子群优化的神经网络方法预测教育部网络数据配额援助接受者满意度

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1094.52-56

Annahl Riadi, Irvan Muzakkir, M. H. Botutihe

引用次数: 0

Implementation of Deep Learning for Handwriting Imagery of Sundanese Script Using Convolutional Neural Network Algorithm (CNN) 使用卷积神经网络算法（CNN）实现巽他语手写体图像的深度学习

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.989.10-16

Arif Purnama, S. Bahri, Gunawan Gunawan, Taufik Hidayatulloh, Satia Suhada

{"title":"Implementation of Deep Learning for Handwriting Imagery of Sundanese Script Using Convolutional Neural Network Algorithm (CNN)","authors":"Arif Purnama, S. Bahri, Gunawan Gunawan, Taufik Hidayatulloh, Satia Suhada","doi":"10.33096/ilkom.v14i1.989.10-16","DOIUrl":"https://doi.org/10.33096/ilkom.v14i1.989.10-16","url":null,"abstract":"Aksara Sunda becomes one of the cultures of sundanese land that needs to be preserved. Currently, not all people know Aksara Sunda because of the shift in cultural values and there is a presumption that Aksara Sunda is difficult to learn because it has a unique and complicated shape. The use of deep learning has been widely used, especially in the field of computer vision to classify images, one of the commonly used algorithms is the Convolutional Neural Network (CNN). The application of The Convolutional Neural Network (CNN) algorithm on sundanese handwriting imagery can make it easier for people to learn Sundanese script, this study aims to find out how accurate the neural network convolutional algorithm is in classifying Aksara Sunda imagery. Data collection techniques are done by distributing questionnaires to respondents. System testing using accuracy tests, testing on CNN models using data testing get 97.5% accuracy and model testing using applications get 98% accuracy. So based on the results of the trial, the implementation of deep learning methods using neural network convolution algorithms was able to classify the handwriting image of Aksara Sunda well.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47497373","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

Implementation of Fuzzy Logic in Fish Dryer Design 模糊逻辑在鱼类干燥机设计中的实现

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1092.39-51

N. Yanti, Taufik Nur, R. Randis

{"title":"Implementation of Fuzzy Logic in Fish Dryer Design","authors":"N. Yanti, Taufik Nur, R. Randis","doi":"10.33096/ilkom.v14i1.1092.39-51","DOIUrl":"https://doi.org/10.33096/ilkom.v14i1.1092.39-51","url":null,"abstract":"The fish drying process aims to preserve the fish to reduce losses due to the decay process. In hot conditions or through sunlight exposure, the drying process should not be a problem, but if it rains, the fish drying process will take a longer time, and create a smell that disturbs the surrounding environment for a relatively long time. The fish dryer is designed to work automatically, aiming to speed up drying time using fuzzy logic, thereby minimizing spoilage and air pollution due to smell from the fish drying process. The design of the tool uses an experimental method through literature study as a source of analysis, planning, and manufacturing fish dryer using an Arduino Mega 2560, temperature sensor DHT 22, load cell sensor, humidity sensor, fan, heating element, and LCD as well as software with Fuzzy Mamdani method. The results show that the weight of fish that had undergone a drying process using an automatic dryer, which was 500 grams, indicated a drying process of 50% of the initial weight of 1000 grams, with a drying time of 4.48 hours. The previous drying time by manual drying took 45 hours. It shows a control system using fuzzy logic on fish drying equipment, accelerating the drying time about 10 hours faster than sun drying time. It can be concluded that it can increase the amount of dry fish production and reduce odors in the environment around the drying because the fish are in the dryer with a closed condition.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44954883","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: 2

Assessing the Influence of Mobility Behavior on the Covid-19 Transmission: A Case in the Most Affected City of Indonesia 评估流动行为对新冠肺炎传播的影响：以印度尼西亚疫情最严重城市为例

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1043.17-24

Najirah Umar, Hamdan Gani, Sitti Zuhriyah, Helmy Gani, Feng Zhipeng

{"title":"Assessing the Influence of Mobility Behavior on the Covid-19 Transmission: A Case in the Most Affected City of Indonesia","authors":"Najirah Umar, Hamdan Gani, Sitti Zuhriyah, Helmy Gani, Feng Zhipeng","doi":"10.33096/ilkom.v14i1.1043.17-24","DOIUrl":"https://doi.org/10.33096/ilkom.v14i1.1043.17-24","url":null,"abstract":"An emerging outbreak of Covid-19 has now been detected across the globe. Given this pandemic condition, the robust estimation reports are urgently needed. Therefore, this study aims to analyze the impacts of community mobility (before, during, and after the lockdown period) on the spread of the Covid-19 in Jakarta, Indonesia. The secondary data was derived from surveillance data for Covid-19 daily cases from the Health Office of DKI Jakarta Province and the Ministry of Health. The community mobility indicators were retrieved from the Google website. Our results showed that in the pre-lockdown period, the Covid-19 daily cases rapidly increased, while community mobility significantly dropped. The increasing number of Covid-19 daily cases was significantly affected by the number of Covid-19 tests per day rather than community mobility. During the restriction period, the number of Covid-19 tests per day, and community mobility statistically affected the decreasing number of Covid-19 daily cases. Meanwhile, after the lockdown period, the number of Covid-19 daily cases rapidly increased, which significantly has a direct relationship with the increasing level of community mobility. Overall, community mobility and the number of tests per day are the essential variables that explain the number of Covid-19 daily cases in Jakarta, Indonesia. Additionally, this study did not observe any impact of average air temperature and air pollution on the spread of Covid-19. This study figures out that community mobility could potentially explain the progression of Covid-19.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43316144","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

Multi Classification of Bacterial Microscopic Images Using Inception V3 利用Inception V3对细菌显微图像进行多分类

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1121.80-90

I. Nurtanio, A. Bustamin, C. Yohannes, Alif Tri Handoyo

{"title":"Multi Classification of Bacterial Microscopic Images Using Inception V3","authors":"I. Nurtanio, A. Bustamin, C. Yohannes, Alif Tri Handoyo","doi":"10.33096/ilkom.v14i1.1121.80-90","DOIUrl":"https://doi.org/10.33096/ilkom.v14i1.1121.80-90","url":null,"abstract":"Microorganisms such as bacteria are the main cause of various infectious diseases such as cholera, botulism, gonorrhea, Lyme disease, sore throat, tuberculosis and so on. Therefore, identification and classification of bacteria is very important in the world of medicine to help experts diagnose diseases suffered by patients. However, manual identification and classification of bacteria takes a long time and a professional individual. With the help of artificial intelligence, we can effectively and efficiently classify bacteria and save a lot of time and human labor. In this study, a system was created to classify bacteria from microscopic image samples. This system uses deep learning with the transfer learning method. Inception V3 architecture was modified and retained using 108 image samples labeled with five types of bacteria, namely Acinetobacter baumanii, Escherichia coli, Neisseria gonorrhoeae, Propionibacterium acnes and Veionella. The data is then divided into training and validation using the k-fold cross validation method. Furthermore, the features that have been extracted by the model are trained with the configuration of minibatchsize 5, maxepoch 5, initiallearnrate 0.0001, and validation frequency 3. The model is then tested with data validation by conducting ten experiments and getting an average accuracy value of 94.42%.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45736473","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

Evaluation of Employee Acceptance of the IMS Application at PT Sarana Utama Adimandiri: TAM Approach 员工对管理信息系统应用的接受度评价:TAM方法

Ilkom Jurnal Ilmiah Pub Date : 2022-04-30 DOI: 10.33096/ilkom.v14i1.1120.74-79

Sancoko Sancoko, Zahra Shalsabilla Prayogi, Badra Al Aufa, Rahmat Yuliawan

引用次数: 1