CESS Journal of Computer Engineering System and Science最新文献_第5页

Aeroponic Media Potato Plant Monitoring and Control System Internet of Things Based 基于物联网的气培介质马铃薯植株监控系统

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-31 DOI: 10.24114/cess.v8i1.42432

Mella Geovanie, Ikhwan Ruslianto, Uray Ristian

{"title":"Aeroponic Media Potato Plant Monitoring and Control System Internet of Things Based","authors":"Mella Geovanie, Ikhwan Ruslianto, Uray Ristian","doi":"10.24114/cess.v8i1.42432","DOIUrl":"https://doi.org/10.24114/cess.v8i1.42432","url":null,"abstract":"Aeroponics is a farming method without soil media that works by spraying water and a nutrient solution in the form of a mist on plant roots. The use of the aeroponic method itself requires monitoring and controlling air temperature, air humidity, water temperature, and nutrient levels. Incorrect settings can cause plants to experience drought, root rot, and a lack of nutritional elements, which can cause plant death. Therefore, we need a system that can monitor and control air temperature, air humidity, water temperature, and nutrient content. This research builds an Internet of Things-based system that can assist in providing information regarding the values of air temperature, air humidity, water temperature, and nutrient content displayed on the website application. The system can also perform manual and automatic control functions. In the test results, the sensor value reading system has an accuracy of 98.56% for air temperature, 96.89% for accuracy of air humidity readings, 99.64% for accuracy of water temperature readings, 97.02% for accuracy of nutrient solution readings, and 99.86% for accuracy of water level readings. The test results from observing potato plants for 21 days showed an increase in growth in the highest plant height with an average of 4.36 cm and the lowest plant height growth with an average of 0.96 cm.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48941938","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

Decision Support System for Determining Employee Movements Using the COPRAS Method 使用COPRAS方法确定员工调动的决策支持系统

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-31 DOI: 10.24114/cess.v8i1.43002

M. D. Irawan, Harold Situmorang, Rianto Sitanggang, D. Sawitri

引用次数: 1

Desain Rancang Bangun Sistem Monitoring Irigasi Sawah Menggunakan ESP8266 Berbasis Android Dengan Mode Bot Telegram 设计设计的稻田灌溉系统使用基于电报机器人模式的机器人ESP8266

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-23 DOI: 10.47650/jsce.v4i1.708

Syarifuddin Syarifuddin Baco, Sajiah Sajiah, Suradi Suradi, Nurfadila Awalia A., Wulandari Suluwetang

{"title":"Desain Rancang Bangun Sistem Monitoring Irigasi Sawah Menggunakan ESP8266 Berbasis Android Dengan Mode Bot Telegram","authors":"Syarifuddin Syarifuddin Baco, Sajiah Sajiah, Suradi Suradi, Nurfadila Awalia A., Wulandari Suluwetang","doi":"10.47650/jsce.v4i1.708","DOIUrl":"https://doi.org/10.47650/jsce.v4i1.708","url":null,"abstract":"Abstrak  Irigasi adalah sistem pembendungan sumber air untuk mengairi lahan sawah. Salah satu kegiatan petani yang masih manual adalah memonitoring atau mengawasi persediaan air dengan membuka dan menutup pintu pematang pada kondisi kekurangan atau kelebihan air pada lahan sawah. Tujuan penelitian ini merancang sistem monitoring irigasi sawah menggunakan ESP8266 berbasis Android dengan mode Bot Telegram. Metode penelitian yang digunakan adalah Resech and Development, menggunakan diagram alir sebagai pemecahan masalah, menggunakan diagram blok sebagai pedoman cara kerja sistem alat yang dirancang. Hasil pengujian dimulai dengan mengaktifkan tombol saklar, aktifkan wifi pada smartphone, selanjutnya mengaktifkan aplikasi telegram untuk memberikan perintah dan informasi monitoring seperti ketinggian air yang akan di deteksi oleh sensor ultrasonik dan perintah memasukan air ke lahan sawah sesuai ukuran debit air yang akan masuk terdeteksi melalui sensor flow meter, pompa in dan out akan menyuplai air masuk dan keluar ke lahan sawah saat kondisi lahan kekurangan dan kelebihan batas ketinggian air. Kesimpulan yang diambil dari penelitian sistem monitoring irigasi sawah menggunakan ESP8266 berbasis Android dengan mode dapat membantu petani dalam memonitoring atau mengawasi air irigasi pada lahan sawah dengan pengendalian jarak jauh dan pengujian alat dapat bekerja dengan baik sesuai dengan yang diharapkan.  Kata kunci: Irigasi, ESP8266, Sensor Ultrasonik, Sensor Flow Meter, Bot Telegram","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136356504","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

Comparison of Machine Learning Algorithms in Analyzing Public Opinion Sentiments Against Fuel Price Increases 机器学习算法在分析反对燃料价格上涨的民意情绪中的比较

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-21 DOI: 10.24114/cess.v8i1.41911

Hanif Wira Saputra, Rahmaddeni Rahmaddeni, Fazri Fazri

{"title":"Comparison of Machine Learning Algorithms in Analyzing Public Opinion Sentiments Against Fuel Price Increases","authors":"Hanif Wira Saputra, Rahmaddeni Rahmaddeni, Fazri Fazri","doi":"10.24114/cess.v8i1.41911","DOIUrl":"https://doi.org/10.24114/cess.v8i1.41911","url":null,"abstract":"Twitter is a social media platform that is quite widely used by the world community, especially people in Indonesia. Twitter is one of the social media that provides information, one of which is the increase in the price of crude oil which was recorded at 105 US dollars per barrel. The increase in fuel prices has a negative impact on society, causing pros and cons. Based on these problems, the authors aim to compare the performance of the artificial neural network and naïve Bayes algorithms to determine the best model for sentiment analysis of fuel price hikes. The data used amounted to 1000 datasets in the form of text documents with labeling using the lexicon and split data 90:10, 80:20, 70:30 and 60:40 as a comparison of precision values. The application of word vectorization utilizes TF-IDF in assigning a weight value to each word. Based on the results of the experiments that have been carried out, it is found that the best algorithm using an artificial neural network is capable of producing an accuracy value of 87% for 1000 data on public opinion sentiment on fuel price hikes. Based on the evaluation results, the model built can categorize public opinion sentiment into positive sentiment, negative sentiment, and neutral sentiment automatically and the polarity of public sentiment tends to be positive towards the issue of the fuel price increase that occurred.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134915926","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

Implementation of Intrusion Prevention System (IPS) as a Website-Based Server Security System and Mobile Application 入侵防御系统（IPS）作为一个基于网站的服务器安全系统和移动应用程序的实现

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-21 DOI: 10.24114/cess.v8i1.40258

Rayco William, Ikhwan Ruslianto, Uray Ristian

{"title":"Implementation of Intrusion Prevention System (IPS) as a Website-Based Server Security System and Mobile Application","authors":"Rayco William, Ikhwan Ruslianto, Uray Ristian","doi":"10.24114/cess.v8i1.40258","DOIUrl":"https://doi.org/10.24114/cess.v8i1.40258","url":null,"abstract":"Server is a center for providing services and storing data in a computer network. A server is managed by server administrator who has a duty of monitoring security server. While on duty, there are deficiencies in detecting attacks, the slow information about the attacks, and how to handle attacks on the server. In this research, a server security system was created by implementing an Intrusion Prevention System (IPS) based on website and mobile applications. Attack detection focuses on ICMP and TCP port attacks with the latency time when the system responds to an attack is 99,89 ms (very good). The attack handling system was successfully carried out using Iptables against the attacker's IP that detected by the Suricata system through the website and mobile applications, to be given action which is divided into Drop, Reject and Accept. Administrators can quickly take the necessary precautions after receiving an automatic notification when the server is under attack via Telegram with an average speed is 3.41second. The ping attack, port scanning and ping of death (DoS) attacks resulted in an increase in the performance load on the local server with the initial conditions of CPU performance ranging from 10-19%, increasing when a ping attack occurred to 21,6%, memory 41,7%, and disk 19,6%. Port scanning increased by 85,9% CPU, memory 41,9%, and disk 20,3%. Ping of death increased CPU 90,4%, memory 42,9%, and disk 20,8%. Based on the tests that have been done, an excessive increase is found in the ping of death attack which results in server performance increasing to 90,4%, if the attack occurs for a long time then the server condition will be hang (damaged).","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48677356","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

Implementation of IPS (Intrusion Prevention System) Fail2ban on Server for DDoS and Brute Force Attacks 针对DDoS和暴力破解攻击的入侵防御系统Fail2ban在服务器上的实现

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-21 DOI: 10.24114/cess.v8i1.40259

Fazar Dawamsyach, Ikhwan Ruslianto, Uray Ristian

{"title":"Implementation of IPS (Intrusion Prevention System) Fail2ban on Server for DDoS and Brute Force Attacks","authors":"Fazar Dawamsyach, Ikhwan Ruslianto, Uray Ristian","doi":"10.24114/cess.v8i1.40259","DOIUrl":"https://doi.org/10.24114/cess.v8i1.40259","url":null,"abstract":"Server security is an important thing that must be considered so that the server can work well and serve users. Attacks on servers can threaten server performance and data security in it. According to the National Cyber and Crypto Agency 2020 report, ports 22 and 80 were the top ports with the most attacks. One of the attacks on port 22 is brute force and an attack on port 80 is Distributed Denial of Service (DDoS). To solve this problem, a study was conducted to implement fail2ban IPS (Intrusion Prevention System) to increase server security. The attacks tested focused on brute force attacks on port 22 and DDoS attacks on port 80 using the TCP protocol. The fail2ban system is equipped with a website interface and notifications via telegram. The test results show that DDoS attacks have more impact on CPU performance with the highest increase in CPU being 92%, while brute force attacks have more impact on server memory performance with the highest increase in memory by 100%. The increase in server performance results in slowed server performance. The system managed to prevent DDoS attacks with an average speed of 0.5 seconds while brute force attacks were 6.1 seconds. The system managed to prevent DDoS attacks with a total of 88 attacks and brute force attacks with a total of 864 attacks.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45582682","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

SARS-CoV-2 Detection from Lung CT-Scan Images Using Fine Tuning Concept on Deep-CNN Pretrained Model 基于深度cnn预训练模型的微调概念检测肺部ct扫描图像中的SARS-CoV-2

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-16 DOI: 10.24114/cess.v8i1.40897

Simeon Yuda Prasetyo

{"title":"SARS-CoV-2 Detection from Lung CT-Scan Images Using Fine Tuning Concept on Deep-CNN Pretrained Model","authors":"Simeon Yuda Prasetyo","doi":"10.24114/cess.v8i1.40897","DOIUrl":"https://doi.org/10.24114/cess.v8i1.40897","url":null,"abstract":"The problem of the spread of COVID-19 (SARS-CoV-2) is spreading fleetly and worldwide. Beforehand discovery and opinion of complaint is veritably important to ensure the right remedy so that it needs to be enforced through various practical approaches. In former studies, complaint discovery through medical imaging has started to appear and get a good delicacy of around 80 to 90 percent using machine learning. In the deep learning era, some trials get better accuracy of 95 percent using the traditional deep learning approach. Now, deep learning has developed more fleetly, especially for image classification. therefore, it's necessary to experiment with a pretrained model approach to medical images. In addition, the fine tuning approach will also be an aspect of the approach that will be carried out in this trial to be compared and to find out its effect, specifically on CT-Scan images of the lungs for the discovery of COVID 19. The results of this experiment showed that the pretrained model approach can get high accuracy. Relatively high accuracy, the smallest testing accuracy in this trial reached 94.78 percent of the Xception without fine tuning phase, this result has beaten the machine learning approach which is didn't reach 90 percent of accuracy. The best experiment testing accuracy get 97.59 percet on the VGG 16 by applying fine tuning. The results of this trial also show that the fine tuning stage (for the top 10th layers) can increase the accuracy of the model.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43145125","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

Implementation of Digital Libraries in Book Management and Donation in the Nyala Aksara Community 数字图书馆在尼亚拉-阿克萨拉社区图书管理和捐赠中的实施

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-16 DOI: 10.24114/cess.v8i1.41698

Saut Pintubipar Saragih, Mesri Silalahi

{"title":"Implementation of Digital Libraries in Book Management and Donation in the Nyala Aksara Community","authors":"Saut Pintubipar Saragih, Mesri Silalahi","doi":"10.24114/cess.v8i1.41698","DOIUrl":"https://doi.org/10.24114/cess.v8i1.41698","url":null,"abstract":"Web Based Applications has been implemented to organize bookstore and it is reuired to handle a wider library system, especially in a non-profit organization such as Nyala Aksara community library in Batam City. All library sources especially book collections come from donations from the community or charity, with this situation it is expected for the commitee to be able provide a system to reach more people to donate with easiness. The E-library Web application is expected to be able to provide solutions for the Nyala Aksara organization management. The main problems is the donations systems that have not been systematically organized, and then borrowing and returning system for users. E-library application will be built using web-based programming like HTML PHP, MySQL database and designing method with UML Method. The e-library will provide services for those who want to donate books, this application will also provide a system that is able to manage borrowers and how to process the book returning. The results of this research is producing a solution for the organization called E-libarary which is a web-based library management.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42041086","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

Immunization E-Book Application Using Web-Based Object Oriented Method 基于web的面向对象方法的免疫电子书应用

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-11 DOI: 10.24114/cess.v8i1.40707

M. Rizki, Boni Oktaviana Sembiring, Eka Rahayu

{"title":"Immunization E-Book Application Using Web-Based Object Oriented Method","authors":"M. Rizki, Boni Oktaviana Sembiring, Eka Rahayu","doi":"10.24114/cess.v8i1.40707","DOIUrl":"https://doi.org/10.24114/cess.v8i1.40707","url":null,"abstract":"The digital era, where all activities can be done using technology. Including about books that can turn printed books into digital books or E-books. Immunization is the process of making a person immune or immune to a disease. The type and schedule of immunizations will determine the health of their toddlers both now and in the future. Parents' ignorance of the type and stage of the immunization schedule is an obstacle for parents. To find out the types and stages of the immunization schedule, parents should read a guide book containing information on immunizations. With immunization books that are still conventional, books become less effective due to carelessness, such as being easily damaged and lost. To prevent and reduce these problems the author wants to design an E-book application or a web-based digital version of a book that can be used as a source of immunization information. In designing this application, the author uses the Object Oriented method, namely Object Oriented Analysis and Design (OOAD) for the system development method and Oriented Programming (OOP) for making the application. With the Immunization E-book Application using the Web-based Object Oriented Method, it is hoped that the general public, especially parents with toddlers, doctors and nurses can find out information about Immunization data quickly anytime and anywhere.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45606514","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

Forecasting COVID-19 Cases in Indonesia, Malaysia, Philippines, and Vietnam Using ARIMA and LSTM 利用ARIMA和LSTM预测印度尼西亚、马来西亚、菲律宾和越南的COVID-19病例

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-11 DOI: 10.24114/cess.v8i1.41209

Marina Wahyuni Paedah, F. Gunawan

{"title":"Forecasting COVID-19 Cases in Indonesia, Malaysia, Philippines, and Vietnam Using ARIMA and LSTM","authors":"Marina Wahyuni Paedah, F. Gunawan","doi":"10.24114/cess.v8i1.41209","DOIUrl":"https://doi.org/10.24114/cess.v8i1.41209","url":null,"abstract":"COVID-19 has severely impacted the global economy, including ASEAN countries. Various plans and strategies are still needed during the pandemic-to-epidemic transition period to minimize the risk of COVID-19 transmission. The research focuses on the total number of confirmed cases of COVID-19 in Indonesia, Malaysia, the Philippines, and Vietnam, which are among the ASEAN countries with the highest number of cases in Southeast Asia. Those countries have cultural similarities, where gathering with friends and family is an important part of social life. This research evaluates the ability of ARIMA and LSTM to predict COVID-19 cases in each country, using daily data from January 23, 2020 to October 22, 2022. Datasets published by Johns Hopkins University (JHU) and Our World in Data (OWID) are used, which are accessible through Github. Compared to ARIMA with R2 of 0,8883 for Indonesia, 0,8353 for Malaysia, 0.97291 for the Philippines, and -3.105 for Vietnam, LSTM model can predict better in the four sampled ASEAN countries, with an R2 of 0.9996 for Indonesia, 0.9707 for Malaysia, 0.97291 for the Philippines, and 0.9200 for Vietnam.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69045670","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