bluuebunny/crossref_metadata_2025 huggingface dataset:
Narrative Strategies in the Poem “He Knew That the Pain in His Shoulder...” by J. Brodsky
Authors: Bogdanova Olga Vladimirovna , Baranova Tatiana Nikolaevna
Published: October 2022

The paper is devoted to conducting a plot-compositional, problem-thematic, rhythmic-sound analysis of J. Brodsky’s poem “He Knew That the Pain in His Shoulder...” (1964), which has not been previously subjected to literary analysis, in order to reflect on the categories of the I-persona and the he-persona. The authors of the study set themselves a scientific goal, i.e. to trace the poetic features of the narrative strategies in the poem “He Knew That the Pain in His Shoulder...”, which will reveal the main dominants of the literary world of this poem by J. Brodsky in particular and his early poetic works in general. Thus, the authors set the task to determine the role of poetic illeism, the technique of substituting the I-persona for the he-persona used by J. Brodsky. Scientific novelty of the study lies in involving the text of J. Brodsky’s poetic work that has not been previously subjected to scientific reflection, has not become the subject of special scientific analysis. As a result, it has been proved that the substitutive tactics of displacing the lyrical I-persona by the objectified he-persona are connected with the author’s intention to overcome the limits of external life-likeness and bring mystical lines of otherworldly existence into the text, allowing the researchers to look at the death of the poem’s persona in other axiological coordinates.
Features of Translation of Phraseological Units with the Structure of a Phrase and a Sentence from Russian into German
Authors: Panfilova Elena Gennadjevna
Published: October 2022

The aim of the study is to identify the features of translation of nominative and propositional phraseological units within a prose literary text from Russian into German. The paper is novel in that it is the first to consider translation of nominative and propositional phraseological units in the aspect of the relationship between translation methods and grammatical properties of phraseological turns. As a result of the study, the researcher has determined the specifics of translating Russian nominative and propositional phraseological units with different grammatical structures (constructions with the structure of a phrase correlated through the morphological criterion with different parts of speech and constructions with the structure of a sentence not correlated with parts of speech) into German.
Features of Emotion and Evaluation Verbalisation in the Electronic Mass Media of Russia and China
Authors: Maklakova Tatyana Borisovna , Chupanovskaya Maria Nikolaevna , Nikitina Albina Khaydarovna
Published: October 2022

The aim of the research is to shed light on the features of linguistic representation of emotion and evaluation in the mass media of Russia and China in a comparative aspect. Scientific novelty of the research lies in involving new factual material for the study of emotivity and evaluativeness in linguistics, as well as in supplementing and clarifying the classification of linguistic means of emotion and evaluation representation. As a result, it has been found that there are certain differences in the means of emotion and evaluation expression in Russian and Chinese electronic mass media texts. The researchers have noted a variety of linguistic means with an emotive-evaluative meaning (“emotion + evaluation”) in the Russian mass media and linguistic means with an emotive meaning (“emotion”) in the Chinese mass media.
Perencanaan Strategis Pada Sistem Informasi dengan Menggunakan Metode Ward and Peppard
Authors: Hermanto Brian Farrel , Tanaamah Andeka Rocky
Published: October 2022

CV. Bumi Printing is a company that focuses on printing. Currently my CV. Bumi Printing does not yet have an accurate IS/IT infrastructure, so it does not use information system applications and information technology, which affects business development and has indirect effects that cause inefficiency. Therefore, strategic planning of information systems is carried out within the framework of Ward and Peppard. There are several analyzes and observations that must be made to properly analyze the strategic plan. Specifically for internal/external environment analysis using SWOT and IS/IT internal/external business environment analysis using IS/IT value chain. Thus, the information system application portfolio diagram using Ward and Peppard McFarlan which is expected to have a good impact, among others, inventory information systems, financial information systems, competitor inventory management information systems, and attendance information systems, emerges strategically. Bumi printing and printing can solve problems related to company data collection which is still done manually
Analisis Manajemen Risiko Pada Aplikasi Pegadaian Digital Service Menu Tabungan Emas Menggunakan ISO 31000:2018
Authors: Linda Lole Kwee Mey , Maria Evi
Published: October 2022

The purpose of this research is to analyze information technology risk management on the implementation of the gold savings menu on Pegadaian Digital Service (PDS) application in PT Pegadaian Waingapu Branch using the ISO31000:2018 framework. The risk management process is carried out starting from the communication and consultation stage, the context setting stage, the risk assessment stage, consist of risk identification, analysis and evaluation, as well as the risk treatment stage. The result of this research found that there are 23 possible risks in gold saving menu PDS application. Of the 23 possible risks, there is one risk that has a high risk level, namely data leakage, six risks at the medium level and 16 risks at the low level. This research also provides recommendations to PT Pegadaian Waingapu Branch management for risks treatment that arise from the implementation process of the gold savings menu PDS application. The results of risk management analysis for gold savings menu in PDS application from this research are documented in form of a risk register to help the management in managing risks.
Perancangan Tempat Sampah Anorganik Secara Otomatis Menggunakan Sensor Ultrasonik dan Arduino Uno
Authors: Aldisa Rima Tamara , Abdullah Mohammad Aldinugroho , Andilaw Andilaw
Published: October 2022

Inorganic waste is waste that cannot be decomposed, in the laboratory a trash can has been provided, but there are still many laboratory users who still put, leave waste such as used paper and plastic bottles in any place. can help in facilitating laboratory users in disposing of waste only by using sensors, so a tool is designed that can be easily affordable and easy to use to prevent the amount of waste and piles of waste paper and plastic bottles. The author designed the Design of Automatic Inorganic Garbage Disposal Using Ultrasonic Sensors and Arduino Uno Case Study: Unas Artificial Intelligence Laboratory by using our hand proximity sensor the trash can opens automatically, we don't need to hold or touch the trash can, just use the proximity sensor, it opens automatically, and the trash can will close automatically if the proximity sensor moves away. So the author wants to design and make this tool that can be very helpful for use in the laboratory in order to minimize the amount of inorganic waste left behind.
Penggunaan Metode Extreme Programming Pada Perancangan Sistem Informasi Pelayanan Publik
Authors: Septiani Noer Azni , Habibie Faauzan Yusuf
Published: October 2022

Sodong Tigaraksa Village with the Golden Village idea is in dire need of applications that support and provide satisfactory public services for its citizens, applications to help gather data, manage data and provide information easily and quickly. citizen data collection, to storing other data, to making reports, making it possible during the process there were errors in recording, inaccurate reports made and delays in finding the required data. For this reason, this study aims to create a web-based application using the Extreme Programming (XP) method which is useful for Sodong Village to facilitate data processing in public services and a database design tool in the form of ERD (Entity Relationship Diagram). In software development there are several approaches or methods used, the programming language used is PHP and the database used in the construction of the system is MySQL in this study the method used is Extreme Programming (XP) to build a public service information system, the design of this information system using the extreme programming (XP) method is the best solution to solve the problems that exist in this Sodong Village public service.
Penerapan Deep Learning Menggunakan VGG-16 untuk Klasifikasi Citra Glioma
Authors: Putri Annisa , Negara Benny Sukma , Sanjaya Suwanto
Published: October 2022

One of the types of brain tumors in humans is glioma. Glioma is considered to be the most common type of primary brain tumor in adults. To determine the follow-up action that will be carried out by the doctor, the level of glioma needs to be known first. Glioma is divided into 3 grades. To be able to distinguish grades from gliomas, a classification process can be carried out using deep learning with CNN architecture. Glioma grade classification applies Histogram Equalization (HE) preprocessing. The training model uses CNN with the VGG-16 architecture. data using split data with a comparison of 70% training 30% testing, 80% training 20% testing, and 90% training 10% testing. The results of this study using original data have better results compared to data using HE preprocessing on batch size 16 testing and split data 90% training 10% testing.
Analisis Sistem Informasi Panda (SIP) Terhadap Penerimaan PenggunaMenggunakan Metode UTAUT
Authors: Salsabilla Evadila Shafira , Darmansah Darmansah , Januarita Dwi
Published: October 2022

PT. Puskomedia Indonesia Kreatif built a Village Information System named "Panda". PT. Puskomedia Indonesia Kreatif developed the Panda Information System with the hope that it would make it easier for village officials to get information with data owned by the village. The problem with the Panda Information System is that there has been no training on how to use the panda information system and there is no manual so that villages are less interested in using the application. The purpose of this study is to find out what factors influence the behavior of Panda Information System users. This study uses the UTAUT (Unified Theory of Acceptance and Use of Technology) method and uses the variables of Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition, Behavioral Intention and Use Behavior. The software used is SPSS 25 and SmartPLS. The analytical method used is descriptive analysis and SEM analysis. Results Based on the research, it was found that the pValues of the Behavioral Intention variable on Use Behavior was 0.142 > 0.05, variable Effort Expectancy on Behavioral Intention is 0.179 > 0.05, variable Facilitating Conditions on Use Behavior is 0.346 > 0.05, variable Performance Expectancy on Behavioral Intention is 0.498 > 0.05, andvariable Social Influence on Behavioral Intention is 0.418 > 0.05 so it is considered insignificant.
Sistem Informasi Geografis Pemetaan Kawasan Permukiman Kumuh Kota Pontianak Berbasis Website
Authors: Buana Dandi Suagira , Sari Renny Puspita , Rahmayuda Syahru
Published: October 2022

The increase in population every year triggers various problems including the accumulation of population in one particular area which can potentially lead to new slum areas. Information regarding the distribution of slum settlements has not been published, so people do not know the area they will be increasing or including the slum area. In overcoming these problems, a Geographic Information System (GIS) was designed to digitally map the distribution of slum areas using calculations based on PUPR Ministerial Regulation No. 14 of 2018 concerning Prevention and Quality Improvement of Slum Housing and Slum Settlements. The determination was calculated using 7 indicators and 16 criteria and resulted in 3 classifications of slum level consisting of light slums, medium slums, and heavy slums. The final result of this research is expected to help the relevant government and the community in knowing the distribution area of slums based on WebGIS. Black-box testing is used to test the functionality of the system that was built and get good results with details of all functions running and following the design stage. Testing the system interface was carried out using an online questionnaire filled out by 38 respondents, resulting in a percentage of 87.5% calculated using a Likert scale so that it was categorized as excellent.
Analisis Sentimen Customer Feedback Tokopedia Menggunakan Algoritma Naïve Bayes
Authors: Ama Aldian Umbu Tamu , Mulya Deva Nita , Astuti Yashinta Putri D , Prasadhya Ignatius Bias Galih
Published: October 2022

Products and customers have a close relationship, therefore UMKM need to build good relationships with customers. The most common way that companies or UMKM do is to look at the reviews given, this is called customer feedback. The results of customer feedback to companies or UMKM can improve service and product quality. The problem that arises is how to process the many reviews given, especially reviews from marketplaces like Tokopedia. Therefore, a method is needed to see user reviews of the products being sold, whether positive or negative. The method that will be used is sentiment analysis. Sentiment analysis is the process of understanding and extracting and automatically processing text data and can produce sentiments that are displayed in a sentence. The steps taken were taking House of Smith customer review data at Tokopedia, manual labeling to get positive and negative data reviews, data preprocessing, TF-IDF weighting and classification using the Naïve Bayes algorithm. The results of sentiment testing using the Naïve Bayes algorithm with TF-IDF weighting quality accuracy of 83% with visualization of the distribution of words that appear the most are the words 'good', 'comfortable' and 'use' for positive reviews. The most frequent negative reviews were 'material' and 'thin' which indicated that some buyers felt that the product had a thin material.
Vulnerability Management Pada Vulnerable Docker Menggunakan Clair Scanner Dan Joomscan Berdasarkan Standar GSA CIO-IT Security-17-80
Authors: Ramadhan Ryan Supriadi , Widjajarto Adityas , Almaarif Ahmad
Published: October 2022

Vulnerabilities in Docker need to be managed considering that this vulnerability is one of the potentials for exploitation, this can happen because Docker is a container related to application and system security. This study analyzes the vulnerability management process in Docker Images and Docker Images Applications using the GSA CIO-IT Security-17-80 standard. This vulnerability search uses two scanning tools, namely Clair Scanner and JoomScan. Vulnerabilities in Docker Images and Docker Images application version - 1, were overcome by creating a new system, namely version - 2 which upgrades the Docker Images software and Docker Images application. The test scenario is run by scanning for vulnerabilities in two versions of the trial system, in the form of a vulnerability report. The data was analyzed using the GSA CIO-IT Security Standard-17-80 which was limited to the stages of Scanning Capabilities, Vulnerability Scanning Process, Vulnerability Scan Reports, Remediation Verification, and Re-Classification of Known Vulnerabilities. The result is the fastest scanning time is in version - 2, the results of the comparison of vulnerabilities obtained are 44.45% on Docker Images and 77.78% on Joomla. So that the contribution that can be given is to provide an overview of the use of the GSA CIO-IT Security-17-80 standard as a guide for managing the security of an IT asset based on the stages carried out. Continuation of research can be in the form of using the 6 stages of GSA with the support of adequate vulnerability data from the right scanner software.
Implementasi Deep Learning Dalam Pendeteksian Kerumunan Yang Berpotensi Melanggar Protokol Kesehatan Covid-19
Authors: Naf'an Emil , Islami Fajrul , Gushelmi Gushelmi
Published: October 2022

This study aims to propose a system that is able to detect crowds that have the potential to violate the Covid-19 health protocol. In this case the camera is used to capture objects in the form of images (image). Furthermore, the obtained images are processed using Deep Learning. In this case, the Convolutional Neural Network (CNN) is used. The criteria used are the classification of the number of people in the picture and the distance between each person in the picture. The distance allowed between each person is 1 meter. If there are more than 5 people in the image that have a distance between each of them less than 1 meter, then this is classified as a crowd that has the potential to violate the Covid-19 health protocol. In this study, 2 classifications were used, namely crowd and non-crowded. From the test results obtained the average value of accuracy, precision, and recall are 91.71, 91.25, and 92.65, respectively.
Klasifikasi Status Gizi Balita Menggunakan Naïve Bayes dan K-Nearest Neighbor Berbasis Web
Authors: Setiawan Rizky , Triayudi Agung
Published: October 2022

One of the efforts in increasing the progress of a country is improving the quality of nutrition. Good balanced nutrition can increase the body's endurance, increase the level of intelligence and make a person develop normally. Infancy is a period of development and growth that requires more nutritional content than other age groups, making it the most vulnerable to nutritional disorders. Nutritional status under 5 years can be seen using the Anthroperti method. Calculations done manually make the process take a long time and errors often occur in entering data. Data mining can make decisions on the nutritional status of toddlers faster by looking at patterns in previous data. Naïve Bayes and K-Nearest Neigbor are one of the methods in classification. Naïve Bayes has the advantage of being able to achieve high accuracy values with minimal training data. Meanwhile, the K-Nearest Neighbor method has the advantage of being able to work optimally on data that has random errors (noise). Using 412 nutritional data for toddlers, the results obtained with Naïve Bayes getting an accuracy of 80.60%, while with K-Nearest Neighbor, an accuracy of 91.79% was obtained.
Analisis User Interfaces Pada Website Kampiun ITTP Dengan Metode Heuristik dan System Usability Scale (SUS)
Authors: Azi Muhammad Fakhrudin , Wiguna Citra , Meiah Khairun Nisa
Published: October 2022

Kampiun Digital Learning is a website-based Massive Open Online Course (MOOC) owned by the Telkom Purwokerto Institute of Technology (ITTP), which aims to improve the quality of free non-formal education. Unfortunately, since its initial release until now there has never been an analysis of the user interface itself. Even though there are several problems related to the user interface, such as problems with navigation (search filters), notifications, registration instructions, and basic website guidelines. Based on these problems, it is necessary to analyze the user interfaces on the Kampiun website to see how the sustainability of Kampiun is based on the perspectives of experts and users, the combination of Heuristics and System Usability Scale (SUS) methods in this study was carried out because in their functions they have different but complementary, heuristic focuses. has the perspective of the experts, while SUS has the perspective of the user. This study uses 10 heuristic aspects and 10 SUS questionnaire questions. The purpose of this research is to be able to produce recommendations for improvement from both existing perspectives and identify aspects that need improvement, as well as being useful in helping to find problematic heuristic aspects that must be addressed. The SUS score from the Kampiun website after the calculation is done is 58.4. The results of this study are recommendations on aspects that need to be improved in order to provide a significant increase in the SUS score, several recommendations for improvements that need to be made include clarity of information, use of images, appropriate colors and grammar, consistency of writing, standard writing standards, error message, there is an online guide and a help button.
Pengembangan Aplikasi Pendaftaran Forum Diskusi Berbasis Web Menggunakan Kombinasi Algoritma Decision Tree Dan Random Forest
Authors: Yuniati Yuyun , Andrianingsih Andrianingsih , Fitri Iskandar
Published: October 2022

A discussion forum is a place that aims to carry out activities by discussing something or exchanging ideas with the aim of knowing common interests. This study aims to simplify the process of a registration system for discussion forum participants so that participant data is more structured by classifying participant data into 2 types, namely ordinary participants and competitor participants. Ordinary participants are participants who participate in all series of activities without being competitors in discussion forum activities, while competitor participants are participants who participate in all series of activities and can make presentations. The research method used is a combination of Decision Tree and Random Forest algorithms, namely a structured or sequential method from the concept planning, modeling, implementation, testing and maintenance stages. In this case, it is necessary to create a website with a management information system design. The information system in making this website must systematically be structural and the technology used for website creation, namely: PHP, HTML, CSS, with a database system using MySQL. The designs that have been designed are starting from the login menu, participant data, participant assignments, materials, participant scores up to the logout menu, while testing has been carried out by accessing the website by 20 users at the same time and can be generated by calculating the seconds obtained From these tests, the database used is increasing, namely 600, 800 to 1,000 participant databases.
Feature Expansion Using Word2vec for Hate Speech Detection on Indonesian Twitter with Classification Using SVM and Random Forest
Authors: Dewi Mila Putri Kartika , Setiawan Erwin Budi
Published: October 2022

Hate speech is one of the most common cases on Twitter. It is limited to 280 characters in uploading tweets, resulting in many word variations and possible vocabulary mismatches. Therefore, this study aims to overcome these problems and build a hate speech detection system on Indonesian Twitter. This study uses 20,571 tweet data and implements the Feature Expansion method using Word2vec to overcome vocabulary mismatches. Other methods applied are Bag of Word (BOW) and Term Frequency-Inverse Document Frequency (TF-IDF) to represent feature values in tweets. This study examines two methods in the classification process, namely Support Vector Machine (SVM) and Random Forest (RF). The final result shows that the Feature Expansion method with TF-IDF weighting in the Random Forest classification gives the best accuracy result, which is 88,37%. The Feature Expansion method with TF-IDF weighting can increase the accuracy value from several tests in detecting hate speech and overcoming vocabulary mismatches.
Pengukuran Pengalaman Pengguna Aplikasi Platform Pembelajaran dan Konferensi Video Menggunakan Framework UEQ+
Authors: Angela Angela , Halim Fandi , Sylvia Chatrine
Published: October 2022

This study aims to measure and evaluate the user experience of the Microsoft Teams application as a learning and video conferencing platform using the UEQ+ framework, which is the development of the UEQ method. Through the UEQ+ framework, questionnaires can be designed by customizing user experience variables according to the application to be measured, thus the research results are expected to be more accurate and relevant. The scale of user experience measured in this questionnaire includes: efficiency, perspicuity, dependability, trust, usefulness, intuitive use, trustworthiness of content, quality of content, and clarity. After the questionnaires were distributed, 149 data were obtained which could be processed using data processing tools which being provided by UEQ+ called Data Analysis Tools. In conclusion, respondents have positive impression of Microsoft Teams as a video conferencing application and learning platform. The most important scale that represents the quality of Microsoft Teams is usefulness, clarity, trustworthiness of content, and quality of content.
Analisis Kepuasan Konsumen Terhadap Kualitas Pelayanan E-Commerce Jd.Id Menggunakan Metode E-Servqual
Authors: Putri Rizka Septiana , Astiti Sarah , Amriza Rona Nisa Sofia
Published: October 2022

This study aims to determine which dimensions have a significant effect on customer satisfaction and to find out which service dimensions are the main priority to be improved using the E-Servqual method. The E-servqual method is the method used to measure the quality of services provided online. The dimensions of E-servqual that will be used in this research are system availability, fulfillment, efficiency, privacy, compensation, responsiveness, and contact. Collecting data in this study by distributing questionnaires with the respondent's criteria, namely JD.ID E-Commerce users. The results of this study indicate that the variables of efficiency, system availability, compensation, and responsiveness have a significant effect on JD.ID consumer satisfaction while fulfillment, privacy, and contact variables have no significant effect on JD.ID consumer satisfaction
Implementasi Metode Kriptografi dengan Menggunakan Algoritma RC4 dan Steganografi Least Significant Bit Dalam Mengamankan Data Berbasis Android
Authors: Ratama Niki , Munawaroh Munawaroh
Published: October 2022

Security is a protection or protecting something important from something unwanted or other things that are theft of data security techniques, there are several ways to provide protection, one of which is by inserting something data that you want to protect into other media, message security. secret by inserting a message into an image file or better known as steganography is a development of a cryptography, where cryptography itself is a data security technique that contains elements of data management or formulation before it becomes new data and the new data can only be read or opened. by a certain person who can know the pattern of managing the data. The security and confidentiality of a message is very important and must be maintained, the problem of data confidentiality in a company or institution is a major problem where a lot of data that is confidential is open or widespread, this is very detrimental to the company, in addition to data confidentiality The other factor is that data confidentiality is a continued asset for the company to continue to managers in other divisions which must be maintained and used by someone appointed. From these problems, a cryptographic method is needed where the algorithm used is RC4 and steganography is used using Least Significant Bit (LSB) as the method. The advantage of RC4 is that the data in the management of making cryptography is more structured and has a non-static pattern in which the creation of confidential data can be made quickly and safely, while the Least Significant Bit (LSB) method is a method of inserting binary data into an image that has a color image and in it can accommodate 6 bits for the message. The purpose of this research is to create a cryptographic application system that combines the Least Significant Bit (LSB) technique to secure an android-based data
Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Karyawan yang di Non-Aktifkan di Masa Pandemi
Authors: Lubis Juanda Hakim , Esabella Shinta , Mesran Mesran , Desyanti Desyanti , Simanjuntak Deby Monalisa
Published: October 2022

Coronavirus Disease 2019 (Covid-19) was first discovered in China, spread to various countries including Indonesia in March 2020. Until 2021 Covid-19 has not disappeared. This of course has an impact that can harm the country and society. Therefore, the government made a policy of Large-Scale Social Restrictions (PSBB) with the aim of breaking the chain of the spread of Covid-19. One of the impacts felt by the community with its presence is the deactivation of employees carried out by several companies to workers on the grounds that they do not have the money to pay the workers. PT. XYZ has difficulty choosing which employees to deactivate. This research is based on these reasons, so the authors decided to use the Multi Attribute Utility Theory (MAUT) method to help make decisions to choose employees who deserve to be deactivated with job prospects, age, length of work per year, education, dependents with an alternative number of 10 (Ten) ) employees. The use of the MAUT method is expected to determine the criteria for employees who deserve to be deactivated, because the MAUT method will perform a ranking process based on attributes with different weights so that the results are more optimal, then a ranking process will be carried out which will determine the optimal alternative as well. The 5 (five) alternatives that deserve to be deactivated are A2 with a result of 0,9303, A8 with a result of 0,5561, A4 with a result of 0,533, A9 with a result of 0,4978, and A1 with a result of 0,4867 is 5 a viable alternative to deactivate during the pandemic
Analisis Penyebaran Informasi Vaksin Covid-19 Pada Twitter Menggunakan Kolaborasi SNA dan Sentiment Analysis
Authors: Rehatta Stanny Dewanty , Sediyono Eko , Sembiring Irwan
Published: October 2022

The use of the Covid-19 vaccine as an effort to overcome and protect the Indonesian people from the Covid-19 pandemic has been widely discussed on Twitter social media. The existence of the Covid-19 vaccine in Indonesia has drawn various opinions because of the large amount of information shared by Twitter users regarding the Covid-19 vaccine. This study uses the collaboration of social network (SNA) and sentiment analysis. In this study, SNA collaborated with sentiment analysis to classify positive and negative sentiments in news spread by influential actors based on groups formed in the SNA network. SNA research shows there are 6 influential actors based on the group formed in the network. The actors with the highest popularity are @KemenkesRI with a degree of centrality reaching 194, while actors with the lowest degree of centrality are @rudeski83. In addition, actors with the highest centrality betweenness are @KemenkesRI because it plays an important role in disseminating information about the Covid-19 vaccine on social media twitter. SVM classification test results showed @KemenkesRI actor with an accuracy rate of 97% and @Vaksin_Update with an accuracy rate of 90% are actors with a positive sentiment percentage of 95%, while actors @rudeski83with an accuracy rate of 98% is an actor with a negative sentiment percentage of 80%. Based on the above, it can be seen that the SNA collaboration and sentiment analysis carried out showed that 5 out of 6 actors who were influential actors based on the group formed in the network.
Penerapan Algoritma Apriori Pada Analisa Data Penjualan Ecommerce
Authors: Badaruddin Muliati , Rayendra Rayendra
Published: October 2022

Already all sectors are now using the role of this technology. The role of technology in the business sector is to carry out online transactions that can be done anytime and anywhere or commonly referred to as E-commerce. Now E-commerce has grown very rapidly, this is because there are many benefits that can be obtained from the use of E-commerce. But that does not mean that the use of e-commerce is not experiencing losses, the use of e-commerce that is not on target will also create losses for business people. Of course this is a problem that must be solved wisely by being able to read the pattern of goods requested by consumers or products that are not in demand by consumers. Where to find out the pattern can be seen from the e-commerce sales data that is already available. Data mining is a technique used to perform data processing. Data processing is carried out in data mining to obtain new information that can be implemented. A priori algorithm is a method used to find a pattern of relationships between one or more dataset items. In the results of the study, it was found that there are 3 items of E-commerce sales data that can be prioritized for sales. Where of the three items there are 3 combinations of items A1èA2 with a support value of 40% and a confidence value of 67%. A combination of items A1èA5 with a support value of 50% and a confidence value of 83%. Combination of items A2èA5 with a minimum support value of 40% and a confidence value of 50%
Prediksi Curah Hujan Menggunakan Long Short Term Memory
Authors: Badriyah Jamilatul , Fariza Arna , Harsono Tri
Published: October 2022

The importance of predicting rainfall in fields that require rainfall information such as in agriculture, transportation and industry. Prediction of rainfall with statistics is done to solve the problems of this paper, thus this paper proposes prediction of rainfall using Long Short Term Memory in the case study: Surabaya City. The data used is rainfall data at two Surabaya stations, namely the Perak Meteorological Station I and the Tanjung Perak Maritime Meteorology Station from 2015 to 2020. The prediction test was carried out using the Long Short Term Memory algorithm with accuracy measurement results MSE 0.489, MAE 0.537 and R2 0.497. from these results prove that the Long Short Term Memory algorithm is better than previous studies.
Klasifikasi Data Review IMDb Berdasarkan Analisis Sentimen Menggunakan Algoritma Support Vector Machine
Authors: Cahyani Gita , Widayani Wiwi , Anggita Sharazita Dyah , Pristyanto Yoga , Ikmah Ikmah , Sidauruk Acihmah
Published: October 2022

Advances in Web 2.0 technology encourage the creation of personal website content involving sentiments such as blogs, tweets, web forums, and various types of social media. The Internet Movie Database (IMDb) is a website that provides information about films from around the world, including the people involved, nominations received, and reviews from visitors. The number of movies and reviews on IMDb causes users or visitors to check the reviews to find out the film rating, so it takes time for users who have no experience using IMDb. Sentiment analysis can be a solution to label positive and negative reviews. One of the algorithms used in sentiment analysis is the Support Vector Machine (SVM) algorithm. This study aimed to test the accuracy of the SVM algorithm in the classification of sentiment review films on IMDb. The tests carried out using the Support Vector Machine algorithm resulted in an accuracy value of 86.5%. The SVM algorithm can also produce a precision value of 90.67% and a recall value of 91.62%.
Penerapan Metode Metode Multy Attribute Utility Theory (MAUT) dalam Pemilihan Asisten Laboratorium Komputer
Authors: Aldisa Rima Tamara , Sanwani Sanwani , Simanjuntak Deby Monalisa , Laia Sarpita , Mesran Mesran
Published: October 2022

Computer Laboratory Assistant is a person who is competent in the field of computers who will assist lecturers in teaching while in the computer laboratory. The Faculty of Computer Science, Budi Darma University, Medan will conduct a selection of computer laboratory assistants for the 2022/2023 academic year, but the lecturers have difficulties in finding which students are eligible to become computer laboratory assistants. This research is based on these reasons, so the authors decided to use the Multi Attribute Utility Theory (MAUT) method to help make decisions to choose which students deserve to be computer laboratory assistants with the criteria of GPA, test scores, personality, teaching ability and experience with a number of alternatives 5 (Five) students. The use of the MAUT method is expected to determine the criteria for computer laboratory assistants, because the MAUT method will perform a ranking process based on attributes with different weights so that the results are more optimal, then a ranking process will be carried out which will determine the optimal alternative as well. As for 1 (one) alternative that deserves to be a computer laboratory assistant is Jesika Sirait with a result of 0.4085.
Perbandingan Metode AHP dan TOPSIS untuk Pemilihan Karyawan Berprestasi
Authors: Nasution Musri Iskandar , Fadlil Abdul , Sunardi Sunardi
Published: October 2022

This study designed a system to determine outstanding employee selection using a Decision Support System (DSS) with the Analytical Hierarchy Process (AHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The purpose of this study is to analyze the accuracy in making decisions. The stages of this research are collecting employee data and criteria data, then weighting the criteria and assessment, after that the calculation uses the AHP and TOPSIS methods, and the last step is the analysis of the calculation results and the calculation of accuracy. The criteria used are attendance, years of service, permission, and discipline. Implementation for building applications using the PHP programming language and MySQL database. The results of the calculation of the accuracy obtained by the AHP method are 100%, as well as the TOPSIS method at 100%. The results of the AHP calculation show that the first rank results are obtained with a value of 0.02525, namely employees with code K8, while the results of the TOPSIS calculation show that the first rank results are obtained with a value of 0.955236913, namely employees with code K8. This shows that the two methods have the same results in determining the first rank of employees, however the TOPSIS method is better than AHP because the TOPSIS calculation process is carried out twice normalization so that it does not produce the same value.
Sentiment and Discussion Topic Analysis on Social Media Group using Support Vector Machine
Authors: Adityani Salsabila Putri , Richasdy Donni , Astuti Widi
Published: October 2022

The growth of social media in this modern era is increasingly rapid, where people are very active digitally interacting with each other. People who have a common interest or simply like to be in a community often gather in an online group, especially on Facebook. Alumni of Telkom University are no exception, who are also actively discussing and sharing information in Telkom University Alumni Forum Facebook group (FAST). By using their status from that group, sentiment and topic discussion analysis can be performed to determine whether the polarity is positive, neutral, or negative. In Addition, topic modeling extracts what topics are often discussed in the group. In this research, sentiment analysis was performed using the Support Vector Machine (SVM) method. Also, the classification process involved TF-IDF for word weighting and confusion matrix as performance measurement. Several testing scenarios were carried out to get the best accuracy value. Based on the tests performed on the preprocessing technique and feature extraction n-gram addition, the highest accuracy value obtained is 80.56%. The result indicates that the best performance is obtained by combining preprocessing techniques without the stopword removal process and feature extraction unigram. Moreover, the topics discussed based on topic modeling results were related to telecommunication and Telkom, Indonesia, alumni, and FAST.
Penerapan Extreme Programming dalam Pengembangan Fitur Interoperabilitas Pada Aplikasi Bioinformatika
Authors: Hadinata Edrian , Sinaga Tantri Hidayati
Published: October 2022

Extreme Programming or XP Model is an application development framework used to create applications that require rapid adaptation. Even in the condition that the application is still in use, the use of this development model is quite appropriate if it is applied to the development of Several features of Bioinformatics Applications. The widespread use of interoperability features found in many applications has made it easier for many system developers to develop applications on various system devices. Likewise, bioinformatics applications that carry out various in silico studies. Application development using the XP Model for special applications that are rarely used for feature additions, the difficulty is implementing rapid adaptation to interoperability feature development without design and analysis of specific applications. The contribution of this paper is to make notes and blueprints for adding interoperability features for bioinformatics applications. Besides that, the XP model is a different method when used to carry out the application development process, especially if it is used to add features to special applications. The success obtained in the development of this application cannot be separated from the advantages of the XP model itself, because the XP model can be implemented in conditions of lack of human resources and the possibility of applying practical principles and techniques in the process. As a result, development is carried out quickly and the application runs well through testing results and then applications can be used to perform processes in silico through interaction between applications to applications to the dataset provider.
Rancangan Arsitektur Sistem Informasi E-Customer Relationship Management Menggunakan Metode Enterprise Unified Process
Authors: Wulandari Retno , Hartomo Kristoko Dwi
Published: October 2022

Customer Relationship Management (CRM) is a management that discusses the handling of the relationship between customers and the company. In the Power Kitchen where one of the company's equipment in the city of Surabaya has problems related to handling complaints from customers. So we need a CRM system to build relationships with customers. Therefore, the Power Kitchen company needs a CRM system to make it easier for companies to handle complaints from customers. This research uses the Enterprise Unified Process method which is a framework for the software process used. This research has resulted in the form of recommendations for system architecture models to achieve company goals and service relationships between companies and customers.
Implementasi Metode SMART (Simple Multi Attribute Rating Technique) Pada Sistem Pendukung Keputusan Pemberian Kredit Pinjaman
Authors: Ardana Wildan Muhammad , Wulandari Irma Rofni , Astuti Yuli , Farida Lilis Dwi , Widayani Wiwi
Published: October 2022

Koperasi Simpan Pinjam (KSP) Tamanmartani Sejahtera is an operational savings and loan cooperative that utilizes funds from members in the form of savings and then flows back to members in the form of credit or loans. KSP Tamanmartani Sejahtera's main problem is arrears or customer credit payment delays. If it is allowed to continue, it will make it difficult for cooperatives to develop. One way to reduce delays in credit payments is to select prospective customers selectively. When choosing prospective customers, managers often experience difficulty making credit request decisions. Managers must consider and analyze the background of the credit application. The provision of credit to prospective customers must meet the standard criteria the cooperative sets. Based on these problems, to provide maximum recognition, it is necessary to have a system to help managers determine customer credit decisions. A Decision Support System (DSS) is a system that can provide information and manipulation data to assist decision-makers. One can use many choices, one of which is the Simple Multi-Attribute Rating Technique (SMART). The SMART method can help solve complex problems based on the difficulties encountered in KSP Tamanmartani Sejahtera. The results of this study are The SMART method was successfully implemented into a website-based system and displayed the ranking of customers who deserved to be given a loan. The test results with Black Box testing show the system can run according to a predetermined design.
Penerapan Metode MAUT Dalam Penentuan Kelayakan TKI dengan Pembobotan ROC
Authors: Ramadan Dimas Hadityo , Siregar M Ridho , Siregar Saidi Ramadan
Published: October 2022

-Indonesia is a country that has a large population, but the employment opportunities are not sufficient in increasing the survival of the population. This has caused many Indonesians to become Indonesian Migrant Workers (TKI) abroad. During this period of time in making a decision on the eligibility of TKI abroad at the stage of selecting prospective TKI at BP3KI, it is only done by looking at the criteria for work experience, whereas at the selection stage for TKI candidates can use several criteria, namely education, work experience, age, knowledge, skills, and ethics. In determining the eligibility of Indonesian migrant workers abroad, a decision support system is needed. The method applied in this study is the MAUT method with ROC weighting. The application of these two methods is expected to be able to produce alternatives from a number of existing alternatives, while the best alternative result from this research is Alternative A5 "Boby" with a value of Ui = 0.9748 which is eligible to become a TKI abroad.
Принципы влияния процессов при уменьшении углеродного следа в промышленности и животноводстве
Authors: Калашников Александр Евгеньевич , Новикова Татьяна Валентиновна , Воеводина Юлия Александровна , Щегольков Николай Федорович , Ялуга Владимир Леонтьевич , Рыжакина Татьяна Павловна , Гостева Екатерина Ряшитовна
Published: October 2022

Решение проблемы уменьшения углеродной эмиссии в животноводстве актуально не только в отношении выделения метана, но и снижения корреляции метана со сформировавшимися цепями поставок продукции животноводства потребителю за последние несколько лет. Вопрос сокращения выбросов метана становится все более обсуждаемым в связи с принятием новых экологических законов, и, поскольку незапланированные действия АПК провоцируют осложнение экологической обстановки, он представляет собой потенциальную угрозу устойчивости экосистем. Методы, применяемые для сокращения экологических выбросов углерода, очень разнообразны, они начинаются от организационных и нормативно-правовых воздействий, геномных, протеомных, метаболомных методов, селекционных, биотехнологических, технологических методологий и заканчиваются приемами модулирования иммунитета животных. Исследованы варианты решений, отраженных в литературе, и показано, что все исследования связаны между собой, в достаточной степени скоординированы в различных бизнес- и технологических процессах, в системах производства и логистики. Дальнейшая интеграция таких научно-технических решений позволит достичь целей по сокращению выбросов углерода и метана в животноводстве и других сферах агропромышленности.