Jurnal Asiimetrik最新文献_第4页

Peningkatan Keamanan pada Simple Network Time Protocol (SNTP) untuk Mendeteksi Cybercrime di dalam Aktivitas Jaringan 增加网络时间协议检测网络活动中的网络犯罪的安全性

Jurnal Asiimetrik Pub Date : 2023-01-31 DOI: 10.35814/asiimetrik.v5i1.4113

Kotim Subandi, Victor Ilyas Sugara, Adriana Sari Aryani

{"title":"Peningkatan Keamanan pada Simple Network Time Protocol (SNTP) untuk Mendeteksi Cybercrime di dalam Aktivitas Jaringan","authors":"Kotim Subandi, Victor Ilyas Sugara, Adriana Sari Aryani","doi":"10.35814/asiimetrik.v5i1.4113","DOIUrl":"https://doi.org/10.35814/asiimetrik.v5i1.4113","url":null,"abstract":"Today's cybercrime methods are extremely diverse. The methods employed by attackers are becoming more diverse and intricate. Malicious software, commonly referred to as malware, is utilized in these various attacks. Malware threats and their propagation can be accomplished in several different ways. Good governance facilitates prevention via migration, assisting the security team and network infrastructure IT. This paper discusses efforts to enhance the security of the Simple Network Time Protocol (SNTP) to detect cybercrime on the network. Based on the results of the conducted experiments, we determined that by updating the Simple Network Time Protocol, implementing the client-server antivirus, and scanning every client connected to the local network or centrally, we could detect the types of attacks that frequently occur on the network system, thereby protecting all client computers from malware, viruses, worms, and Trojan horses. Based on the antivirus migration data, the employed research method can find information on cybercrimes that involve malware that enters the network and is successfully cleaned or quarantined before being automatically blocked.","PeriodicalId":490621,"journal":{"name":"Jurnal Asiimetrik","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441210","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

Analisis Sentiment Twitter Berbasis Grid Search Algorithm (GSA) Dengan Metode Support Vector Machine (SVM) 基于网格搜索算法(GSA)的微博情感分析

Jurnal Asiimetrik Pub Date : 2023-01-31 DOI: 10.35814/asiimetrik.v5i1.3789

Dedi Wirasasmita, Efi Anisa

{"title":"Analisis Sentiment Twitter Berbasis Grid Search Algorithm (GSA) Dengan Metode Support Vector Machine (SVM)","authors":"Dedi Wirasasmita, Efi Anisa","doi":"10.35814/asiimetrik.v5i1.3789","DOIUrl":"https://doi.org/10.35814/asiimetrik.v5i1.3789","url":null,"abstract":"Twitter is a social networking service that has undergone tremendous growth and is gaining worldwide popularity at an accelerated rate. Twitter allows for the expression of unbiased thoughts on a variety of issues and can assist businesses in providing public feedback on well-known brands and items. Twitter is having trouble with good and negative answers. Researchers evaluated English-language tweets to determine the proportion of positive and negative replies to popular companies and items. This study will explore Twitter sentiment analysis utilizing the Grid Search Algorithm (GSA) and the support vector machine (SVM) technique. GSA is utilized by the feature selection model to optimize the classification procedure. In this work, training data and testing data are required to do sentiment analysis. Sanders Twitter 0.2 utilizes a dataset consisting of tweets retrieved from Twitter using the search terms @apple, #google, #microsoft, and #twitter. The collected dataset was manually annotated and included 654 negatives, 570 positives, 2503 neutrals, and 1786 irrelevant entries. Data are loaded, tokenized, weighted, preprocessed, filtered, and classified to conduct a sentiment analysis. The application's sentiment analysis achieved a degree of accuracy of up to 79% based on testing. The ratio of neutral and bad tweets on data sandboxes tends to be greater than the percentage of positive tweets, hence optimization rather than accuracy is obtained.","PeriodicalId":490621,"journal":{"name":"Jurnal Asiimetrik","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441212","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

Pengaruh Campuran Thinner Terhadap Daya Rekat dan Ketebalan Lapisan Hasil dari Alat Custom Refill Cat Semprot 稀释剂对定制油漆喷漆产品产品的粘性和厚度的影响

Jurnal Asiimetrik Pub Date : 2023-01-31 DOI: 10.35814/asiimetrik.v5i1.4226

None Ahmad Lubi, None Yunita Sari, None Rani Anggarainy, None Ardi Candra Fatkhurrohman, None Mohammad Rizqi Dwi Febrianto, None Reynaldi Ramadhan, None Ferry Budhi Susetyo

{"title":"Pengaruh Campuran Thinner Terhadap Daya Rekat dan Ketebalan Lapisan Hasil dari Alat Custom Refill Cat Semprot","authors":"None Ahmad Lubi, None Yunita Sari, None Rani Anggarainy, None Ardi Candra Fatkhurrohman, None Mohammad Rizqi Dwi Febrianto, None Reynaldi Ramadhan, None Ferry Budhi Susetyo","doi":"10.35814/asiimetrik.v5i1.4226","DOIUrl":"https://doi.org/10.35814/asiimetrik.v5i1.4226","url":null,"abstract":"A custom spray coating refill equipment has been designed and fabrication. For this reason, it is necessary to trial the equipment that has been made. This study aims to determine the performance of custom spray coating refill equipment. For a comparison parameter, coating and thinner mixture variations were conducted to determine the adhesion and thickness of the coating layer formed. The coating used in this experiment was Nitrocellulose (NC) and Polyurethane (PU) thinner. The ratio of coating and thinner mixture used are 1:1.5, 1:2, and 1:2.5. After mixing, the mixture was put into the sprayer using custom spray paint refill equipment. The mixture of coating and thinner was sprayed onto the SPCC steel plate. To measure, the adhesion and thickness of the coating layers, a cross-cut tool (according to ASTM-D3359) and a thickness gauge (according to the ASTM-AMT15) were carried out respectively. It seems the spray paint refill equipment was functioning properly. This is due to the quality of the coating layers having good adhesion, shown by all specimens getting 5B classification (0% not peeled off). Moreover, an increase in the thinner composition is lead to a decrease in the coating thickness.","PeriodicalId":490621,"journal":{"name":"Jurnal Asiimetrik","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135440927","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

Perancangan Mesin Pembuat Tepung Jagung Kapasitas 5 kg/jam dengan Metode Pahl dan Beitz 用Pahl和Beitz方法生产5公斤/小时玉米粉机

Jurnal Asiimetrik Pub Date : 2023-01-31 DOI: 10.35814/asiimetrik.v5i1.4143

Mohammad Galang Adi Prayoga, Dahmir Dahlan, Arif Riyadi Tatak

{"title":"Perancangan Mesin Pembuat Tepung Jagung Kapasitas 5 kg/jam dengan Metode Pahl dan Beitz","authors":"Mohammad Galang Adi Prayoga, Dahmir Dahlan, Arif Riyadi Tatak","doi":"10.35814/asiimetrik.v5i1.4143","DOIUrl":"https://doi.org/10.35814/asiimetrik.v5i1.4143","url":null,"abstract":"Corn is among the economic prospects supported by the expansion of the feed and food industries. To preserve corn yields, it can be processed into semi-finished products like corn flour. This paper discusses the design of a machine used to manufacture corn flour. Corn flour is the product that can be produced by the machine. The Pahl & Beitz design method is used to develop concepts. SOLIDWORKS Education Version 2019 is the software used to create three-dimensional images. The concept design utilizing the Pahl and Beitz method yields the selection of one concept variant with a weighting value of 4.82. The design of a corn flour making machine with engine dimensions of 800 mm x 450 mm x 1,500 mm uses a 220 V electric motor with a power of 1.5 hp and a rotational speed of 1400 rpm; the diameter of the shaft shaft is 30 mm, and the diameter of the shell shaft is 25 mm; the transmission used is a set of pulleys measuring 5 inches and 10 inches and a v-belt type A measuring 48 inches and The used bearings are of the UCP205, UCP206, and UCF206 types; the corn-shelling method employs a chain; the paddle for flour employs a diskmill; and the flour sieves have a 1 mm diameter hole. The frame is comprised of 40 mm by 40 mm angle iron; based on the results of the frame simulation, the maximum stress of the components is still less than the material's yield stress.","PeriodicalId":490621,"journal":{"name":"Jurnal Asiimetrik","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441215","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

Uji Kinerja Sistem Denoising Sinyal Jantung atau EKG dengan Menggunakan Algoritma Empirical Mode Decomposition (EMD) 使用经验模式分解（EMD）算法对心脏信号或心电图去噪系统进行性能测试

Jurnal Asiimetrik Pub Date : 2023-01-31 DOI: 10.35814/asiimetrik.v5i1.3682

Ferawidya Primadevi, Yahya Mardiana

{"title":"Uji Kinerja Sistem Denoising Sinyal Jantung atau EKG dengan Menggunakan Algoritma Empirical Mode Decomposition (EMD)","authors":"Ferawidya Primadevi, Yahya Mardiana","doi":"10.35814/asiimetrik.v5i1.3682","DOIUrl":"https://doi.org/10.35814/asiimetrik.v5i1.3682","url":null,"abstract":"Electrocardiograms (EKGs) are signals created by the electrical activity of the heart muscle and displayed on the EKG device's monitor. Using the EKG recording, the primary characteristics for diagnosing the status of the human heart can be determined. The death rate of heart patients can be reduced through early identification of cardiac problems. In ECG readings, it is frequently affected by several disruptions caused by muscle contractions and electrode movement. Numerous investigations on ECG signal denoising techniques have been undertaken earlier. This article examines the testing of the performance of EKGs using the denoising technique based on the Empirical Mode Decomposition (EMD) algorithm. In this work, many metrics were utilized to evaluate the ECG signal denoising technique: mean square error (MSE), mean absolute error (MAE), and signal-to-noise ratio (SNR). In this investigation, the ECG data was contaminated with noise from muscle artifacts (MA), additive Gaussian white noise (AWGN), electrode movement (EM), and baseline wander (BW). The noise-contaminated ECG signal is subsequently subjected to the denoising process. Calculate the MSE, MAE, and SNR values of the signal after it has been denoised. This study includes a scenario for testing three thresholding techniques with four distinct types of noise. The performance of the hard thresholding method is superior for all types of noise. MSE is produced by AWGN, which is 0.15, 0.28, and 9.9 dB. MA noise generates MSE, MAE, and SNR values of 0.4, 0.033, and 41.0 dB, respectively. The EM noise has an MSE of 0.010, an MAE of 0.04, and an SNR of 30.8 dB. The MSE produced by BW noise is 0.008; the MAE and SNR values were 0.0356 and 28.5, respectively.","PeriodicalId":490621,"journal":{"name":"Jurnal Asiimetrik","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135441213","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

Implementasi Algoritma Convolutional Neural Network Pada Kendaraan Tanpa Awak Skala Kecil 在小型无人飞行器上实现卷积神经网络算法

Jurnal Asiimetrik Pub Date : 2023-01-31 DOI: 10.35814/asiimetrik.v5i1.4082

Muhammad Zacky Asy'ari, Anthony Williams Gouw, Desliong Arjuna Limanjaya

引用次数: 0