Journal of Informatics And Telecommunication Engineering
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Twitter User Sentiment Analysis on the Mysterious Hepatitis Issue Rstudio
Get PDFIn the past few years, Corona Virus Disease 2019 has become the most psychologically disturbing issue for Indonesian people since they first entered Indonesia in early 2020. After starting to subside in 2022, there is now a new issue, namely Mysterious Hepatitis, a frightening specter for parents. This mysterious hepatitis attacks many children and causes death. Social media is a source of Big Data. Media such as Twitter have been used to collect and analyze user data for several different purposes. Data can be used to analyze people's opinions on specific topics and incidents by applying sentiment analysis. Certain helpful information can be extracted from the analyzed data. The purpose of this study is to explore public or netizen opinions regarding mysterious hepatitis via data from netizens' tweets on Twitter. The method used in this research is to collect tweets, then clean the tweets, and finally analyze the data that has been processed via RStudio. The results of this study provide information that the words that often appear are acute, child, case, and health. From bigrams, related words often appear acute hepatitis, mysterious hepatitis, acute mysterious, children, and covid 19. By analyzing the type of emotion using the NRC Word-Emotion Association Lexicon method, Twitter users also provide various emotions related to the #HepatitisMysterius issue, including eight positive emotional responses and six positive emotional responses. “Fear†was the most frequent emotion followed by “anticipationâ€, “trustâ€, “surpriseâ€, “angerâ€, “disgustâ€, “sadness†and “joyâ€. From the results of this study, it also informs the advice to be careful with this mysterious hepatitis, because there is advice on being alert for hepatitis and taking care of your healt
Miniaturization of Microstrip Antenna Using Spiral labyrinth Method at Frequency of Work 3.5 GHz
Get PDFAlong with the times, communication technology has developed so that it is currently included in the Fifth Generation (5G) Communication System. The 5G communication system is divided into three frequency categories, namely low band, middle band and high band. One of the important devices in the telecommunications sector is the antenna. Antenna serves to send and receive electromagnetic signals at a certain working frequency. Currently, antennas have been completely integrated into the needs of modern society. One type of antenna that can support the needs of today's technology is a microstrip antenna. This antenna has several advantages, especially in its antenna compact design, low profile configuration and affordable manufacturing costs. In this article, a microstrip antenna is designed with the spiral labyrinth method that works at a frequency of 3.5 GHz for 5G communication system. Propsosed antena designed using RT Duroid R5880 with dielectric constant ( ) 2.2, dielectric loss (loss tan) 0.0009 and thickness (h) 1.57 mm. The simulation results show the reflection coefficient -29.58 dB, VSWR 1.069, gain 6.432 dB at frequency of 3.5 GHz . Spiral labyrinth has been succesfully reduced patch antenna and enclosure until 22.5% and 24.8%, respectively
Complimentary Split Ring Resonators Design On Patch Mikrostrip Antenna For Reducing Ads-B Antenna Dimension
Get PDFMicrostrip Patch Antenna works for Automatic Dependent Surveillance – Broadcast (ADS-B) and antenna frequency resonances at 1.09 GHz. Microstrip Patch Antenna dimension has big shape for antenna micostrip resonancing frequency at 1.09 GHz. In order to Solve this problem, metamaterial is chosen and Complimentary Split Ring Resonators (CSRRs) is the one of metamaterial technique. Complimentary Split Ring Resonators CSRRs is derived from a Split Ring Resonator (SRR) compliment. Early dimension of Microstrip antenna substrate and patch are calculated by Equation that dimension of substrate is 137x130 mm and dimension of patch is 85x65. Dimension of SRR that compliment forms to CSRRs is 9x6 mm for SRR inner ring and 13x10 mm for outer ring. Microstrip antenna VSWR is 1.134 and VSWR increases to 22,73 when CSRR is etched on antenna patch. In order to decrease antenna VSWR, optimation is applied by substrate and patch dimension iteration. Substrate and patch dimension Iteration is enlarge and reduce antenna substrate and patch width and length.  Optimation result is VSWR that VSWR comes to 1,559 and substrate and patch dimension is reduced to 27,9% and 14,1%
Mapping of Landslide Areas Using Geographic Information Systems In Kebonharjo Kulon Progo Regency
Get PDFIndonesia is a country that is surrounded by a ring of volcanoes or commonly known as a ring of fire, the implication is there are many disaster caused by tectonic processes such as collisions between plates, earthquakes, and landslides. Landslides are disaster that often occur in Indonesia, especially the study area in Kebonharjo Village. Disaster events cause damage to both the physical and non-physical environment. The mapping of the area used the Geographic Information System method based on actual data provided by the Regional Disaster Management Agency of Kulon Progo Regency in the form of hamlet areas that are prone to landslides and areas that occur landslide disaster. Other data is data from the Geospatial Information Agency to facilitate direct observation and mapping in the research field. The method used is a survey method with a quantitative and qualitative analysis approach. Qualitative analysis was carried out using the method of analyzing the topography and geomorphology of the research area. Quantitative analysis was carried out based on landforms classified with aspects of slope, rock type, soil type, and rainfall intensity. The results of the analysis of these data will produce a landslide hazard map in the research area as a reference that can be used by the local government to determine appropriate environmental management strategies and policies in Kebonharjo Village
Analysis of the Teacher's Role in Evaluation of Student Learning Performance Using the TOPSIS Model (Case Study of Smk Negeri 1 Lhokseumawe)
Get PDFAnalysis Teacher performance assessment is very decisive in the quality of teaching and learning, This has an effect at the high-satisfactory of college students in information the fabric provided. The problem at the time of the study was that the teacher's performance assessment did not involve students, both assessments were carried out manually by filling out the teacher's learning performance satisfaction form. Therefore, the need for a model in the assessment and the results obtained are not subjective. The development in this study applies the topsis model where the results of this model can provide recommendations for school principals in Teacher Performance Assessment. The application of this topsis model provides a solution/policy in teacher assessment by students which is seen from the ranking results in the form of superior, very good, good and unsatisfactory in the success of providing material. The purpose of this study is to facilitate, supervise, control and see the assessment of the learning performance of SMK Negeri 1 Lhokseumawe teachers in the analysis of information technology-based teacher assessment with a desktop-based topsis model. The results showed that the first rank with a value of 0.616 lia amalia, the second rank with a value of 0.614 and the third rank with a value of 0.605 on behalf of Nazaruddin. The consequences of this test are obtained from the assessment of the topsis version of the trainer's performance
A Good Accuracy in Apple Fruits Quality Based on Back Propagation Neural Network and Feature Extraction
Get PDFApel merupakan varietas buah yang memounyai banyak jenis. Aple ang secara visual tampak sama, bisa jadi merupakan variates yang berbeda misalnya jenis apel Grany smith, Apel golden dan apel malang. Ketiga apel tersebut sama-sama berwarna hijau. Secara kasat mata warna saja tidak cukup untuk mengklasifikasi, sehingga perlu adanya pemnafaatan teknologi yang dapat membantu proses klasifikasi menjadi lebih akurat. Pengolahancitra digital, lewat proses segmentasi warna menggunakan algoritma Back Propagation Neural Network (BPNN) dapat digunakan untuk proses klasifikasi jenis apel. Dalam penelitian ini digunakan 12 macam apel yaitu apel Golden, apel Grany Smith, apel Braeburn, apel Red delicious, apel Malang, apel Red Yellow, apel Red, apel Anna, apel Golden Delicious, apel Fuji, apel Gala, dan aepl Honeycrisp. Pemnafaatan fitur ekstraksi warna dan ciri membuktikan bahwa akurasi dapat mencapai nilai optimal hingga 93%., presisi 94% dan recal 94% dengan menggunakan ekstraksi fitur RG
Support Vector Machine Method with Word2vec for Covid-19 Vaccine Sentiment Classification on Twitter
Get PDFCovid-19 has been a dangerous outbreak for the world that has lasted more than 2 years. Covid-19 has evolved or developed into several new variations, such as delta which is more dangerous than its initial variant. Vaccines became the world's solution to defend against Covid-19. In Indonesia, at the early stages of implementing mass vaccination programs, people had been involved in many pros and cons, to support or against the program. On social media such as Twitter, public opinions about vaccines are very diverse. This study investigates public sentiment towards the early stage of vaccination program conducted by the government. The classification method used in the sentiment analysis is the Support Vector Machine (SVM), among the positive, negative and neutral classes, with word embeddings extraction features. Data was collected and labeled by 12 crowd sourced annotators. The training and parameter tuning process was carried out to find the model that produced the best accuracy of validation data. From 400 testing data, the application of this optimal model resulted in an F1-score of 65% and an accuracy of 69%, higher than several machine learning methods in the same study
Purity Algorithm in Determining System of The Productivity of Rice Harvesting Areas in Kabupaten Aceh Utara
Get PDFPurity is an algorithm thatcan be used to measure the purity value of the data. This research aims to implement the purity algorithm to provide the information on the area of rice harvest productivity in Kabupaten Aceh Utara. The highest purity value indicates the highest harvest productivity area. With lower Purity value indicates lower harvest productivity areas. The data used in this research obtained from the Dinas Pertanian dan Pangan Kabupaten Aceh Utara in 2015-2019, which consists of 26 sub-districts. The results of this research indicate that the areas that are very productive in producing rice in Aceh Utara are based on planting area (ha), harvested area (ha), productivity (kw/ha), production (ton), and production presentation using Purity. In 2015, the highest purity value was in Muara Batu sub-district with a value of 0.742189869. In 2016, the highest purity value was in Sawang sub-district with a value of 0.732474998. In 2017, the highest purity value was in Sawang sub-district with a value of 0.732862423. In 2018, the highest purity value was in Muara Batu sub-district with a value of 0.742319507. In 2019, the highest purity value was in Tanah Luas sub-district of 0.735502499. The system created on web using the PHP programming language
Impact of Feature Selection Methods on Machine Learning-based for Detecting DDoS Attacks : Literature Review
Get PDFCybersecurity attacks are becoming increasingly sophisticated and increasing with the development of technology so that they present threats to both the private and public sectors, especially Denial of Service (DoS) attacks and their variants which are often known as Distributed Denial of Service (DDoS). One way to minimize this attack is by using traditional mitigation solutions such as human-assisted network traffic analysis techniques but experiencing some limitations and performance problems. To overcome these limitations, Machine Learning (ML) has become one of the main techniques to enrich, complement and enhance the traditional security experience. The way ML works are based on the process of data collection, training and output. ML is influenced by several factors, one of which is feature engineering. In this study, we focus on the literature review of several recent studies which show that the feature selection process greatly impacts the level of accuracy of this ML. Datasets such as KDD, UNSW-NB15 and others also affect the level of accuracy of ML. Based on this literature review, this study can observe several feature engineering strategies with relevant impacts that can be chosen to improve ML solutions on DDoS attacks
Design And Contruction of Waterbath Based Microcontroller
Get PDFThe existence of sophisticated equipment is always needed in the laboratory. Purpose is to support the laboratory and support the laboratory staff to work safely and comfortably. One tools commonly used in laboratory is waterbath. In this study, a microcontroller-based waterbath was designed which was equipped with time module for setting the heating time and buzzer as marker when the heating time was complete. In addition, this tool is also equipped with temperature settings from 400C - 950C. This research is an exploratory descriptive research The results of testing the waterbath tool show that the 5 minute time setting has an error percentage value of 3.5%, 10 minutes is 2.3%, 15 minutes is 0.05%, 20 minutes is 1.01%, 25 minutes is 0.001% and 30 minutes is 0.2%. Then the temperature test of 400C has a percentage error of 0.7%, 500C is 0.9%, 600C is 0.8%, 700C is 0.8%, 800C is 1.8%, 900C is 2.7% and 950C is 2.0%. In addition, this tool also meets the standard according to function with a size of 20x20x30cm which is ideal for operation