bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistem Pendukung Keputusan Penulis Terbaik Menggunakan Metode Rank Order Centroid (ROC) dan Evaluation based on Distance from Average Solution (EDAS)
Authors: Mandarani Putri , Ramadhan Haula Luthfia , Yulianti Eva , Syahrani Anna
Published: May 2023

CV Jejak Publisher is a publishing company who has actively held writing competitions. However, there is a problem that occurs in the assessment process that has been running. The problem is several participants get the same value of the final score which makes it difficult for the jury to determine the order of winners. Therefore, to get a fairer and clearer result, need a calculation method that can support the jury's decision for determining the winners. This study aims to design a decision support system by applying the ROC and EDAS methods. ROC is used to assign a weighted value to each of the criteria set by  CV Jejak Publisher, while EDAS is used to assess and rank the data of the participants. This system has output is the rank and final score of the participants from the highest to the lowest score. As a result, the ROC and EDAS methods were successfully applied to the system, as evidenced by 110 input data and all of them were successfully ranked by the system. The highest average score is 88.4 with the highest score based on 5 scoring criteria, namely 422. Thus, this system can be used to assist the jury in making a decision on the winner.
Depression Levels Detection Through Twitter Tweets Using RoBERTa Method
Authors: Putra Algi Erwangga , Maharani Warih
Published: May 2023

Mental health conditions are one thing that needs to be considered as important as physical health. Depression is a mental disorder that can affect a person's social life. The Twitter social media platform is where users can pour their hearts out in the form of tweets. This is often the background of a person's level of depression. Accessible and diverse interactions on Twitter considerably influence the psychological condition of its users. This study aims to detect the level of depression through data obtained from Twitter social media tweets. The method used is RoBERTa which is an optimized BERT retraining. Several scenarios are used to get the best accuracy results in text classification. To get the evaluation results, it is necessary to measure using the Confusion Matrix method. The accuracy value is 72% based on numerous tests that have been done.
Hate Speech Detection on YouTube Using Long Short-Term Memory and Latent Dirichlet Allocation Method
Authors: Adiyaksa Andi Fadil , Richasdy Donny , Ihsan Aditya Firman
Published: May 2023

YouTube social media is one of the popular media for all people to become a platform as a means of information and expressing opinions. Opinions can be categorized as hate if they attack something targeted. Hate speech is a behavior, word or action that is prohibited, because it causes violence to any individual and group. Expressing opinions in the form of hate speech is a problem that is still very difficult for the authorities to overcome because it is very common. Therefore, in this study a system was created to detect hate speech in the youtube comment column, using the Long Short-Term Memory and Latent Dirichlet Allocation. In this study, several methods were carried out that aimed to get the best accuracy value and carried out the topic modeling process using Latent Dirichlet Allocation to produce a total of three topics containing words that often appear in youtube comments. Based on the tests that have been obtained, the best accuracy is 0.657 or 66%.
Prediksi Penentuan Program Studi Berdasarkan Nilai Siswa dengan Algoritma Backpropagation
Authors: Rohayani Hetty , Umam Muhammad Choirul
Published: May 2023

In continuing higher education, the selection of study programs for students is considered difficult and confusing in choosing the right study program. Data Mining technique is a process of finding new knowledge from a set of databases that can help predict the selection of the appropriate study program. This prediction uses the Backpropagation Neural Network method which aims to assist in the selection of subjects according to student scores with a sample of 50 data to be trained and tested. There are seven input variables used, two hidden layers with varying number of nodes, and outputs that will be used as references in the selection of courses. In this study, the Artificial Neural Network Backpropagation method uses classification performance with Rapidminer software on the target that produces the greatest accuracy is 77.42%.
Analisis Sentimen Ibukota Negara Baru Menggunakan Metode Naïve Bayes Classifier
Authors: Aryanti Dewi
Published: May 2023

Twitter is one of the most popular social media websites on the internet today. The site covers a wide range of topics, including law, politics, culture, economics and more. On Twitter, many people talked about the idea of moving the capital of Indonesia. But there is disagreement between people regarding the discourse, because each side has different opinions and views. In order to understand the process of data automatically extracted from unstructured texts, then sentiment analysts were developed. This process is used to determine the overall opinion of a population about a subject in public discourse, as can be derived from diverse opinions on Twitter. In the application of sentiment analysis, the study used the naïve bayes method to be applied to tweets of new capital topics for the purpose of class classification of sentiment on social media tweeters. Technical classification is carried out by classifying into 2 classes, namely positive and negative. Based on the results of testing conducted on the new capital's sentiment tweets from social media twitter as many as 1,065 tweets tested sentiment about the new capital from social media twitter 289 stated positive and 776 stated negative Naïve Bayes method obtained accuracy = 94.18%,)
Sentiment Analysis on Beauty Product Review Using Modified Balanced Random Forest Method and Chi-Square
Authors: Wardani Antika Putri Permata , Adiwijaya Adiwijaya , Purbolaksono Mahendra Dwifebri
Published: May 2023

Internet users in Indonesia have used e-commerce services to buy various products. For example, one website that provides information services about women's beauty products is Female Daily. On the website, there are reviews of beauty products. The review feature is one feature that helps users in determining which beauty products to buy. Unfortunately, many reviews will take a long time to read, and it is almost impossible for users to read all the information. Therefore, research is needed to make it easier for users to consider products such as sentiment analysis. Sentiment analysis aims to classify opinions, namely, user reviews, into positive, neutral, and negative opinions. In this study, sentiment analysis uses the Modified Balanced Random Forest(MBRF) and Chi-square method as feature selection. The best model from this study produces an average accuracy and an average f1-score of 81.75% and 71.90%, respectively.
Implementasi Agile Method untuk Pengembangan Sistem Pembatasan Pengunjung Wisata Berbasis Mobile
Authors: Noviandi Noviandi , Rumana Nanda Aula
Published: May 2023

The high number of Covid-19 patients in 2021 has an impact on the tourism sector. It changes the trend towards tourism in Indonesia. Apart from the health protocols that must be carried out, the role of technology is also important in overcoming the growth of Covid-19. The technology provided is in the form of an application to purchase tourist entrance tickets, but it does not yet provide the menu for tourist restriction and zone identification. The purpose of this research is to develop an information system that can limit the number of tourists and find out the red zone (the highest Covid-19 area) before making a tourist visit. The method used for the development of a tourist visitor information system is the Agile model. This model is carried out systematically and starts from collecting information with interview and observation techniques, needs analysis, system design, design, and the implementation using an object-oriented diagram approach. This model has complex capabilities, is reliable, and produces applications in a short time. The testing of the tourist restriction system uses black box testing. The goal is to find out the error when the system is used by end users. Test results on all features in the system according to the needs of the end user. The application built can be used in line with the government rules or policies. With this application, the tourists are expected to be able to have vacation without the risk of spreading Covid-19.
Rancang Bangun Sistem Penilaian Otomatis Olahraga Taekwondo Berbasis Arduino
Authors: Hasibuan Arif Rahman , Hasibuan Ade Zulkarnain , Asih Munjiat Setiani
Published: May 2023

Taekwondo is an unarmed martial art that emphasizes kicks, straight punches, and dynamic leg movements. Currently, taekwondo matches, especially in the kyorugi type, apply an automatic judging system through the Protector and Scoring System (PSS). PSS was first used for international sporting events in 2012 at the London Olympics to avoid misjudgments due to human vision limitations. However, these devices are still costly, so alternative options are needed. Using an Arduino and a pressure sensor could be a more affordable alternative. Arduino and smartphones can be integrated as monitoring systems to make these devices a better choice for automated assessments. The test results show that this system can provide accurate assessment results. The points the athlete earns depend on the type of attack performed. A straight kick on the body armor earns two points, while a punch earns one point. The spinning kick earns four points with the provision of two points from automatic scoring and the addition of two point manually via smartphone. Taekwondo protective devices and smartphones can communicate up to a distance of 10 meters without any barriers between the devices.
Pemilihan Perumahan Idaman dengan Penerapan Metode Weighted Product
Authors: Mahfuzhi AR Walad , Fernandez Sandhy , Sunardi Dandi
Published: May 2023

Home is a basic need for every human being. Each house will function as a place to live or as a place to rest and a place of protection from various outside disturbances. Based on the needs of every human being for the house, developers compete in providing houses with their respective advantages and disadvantages in order to attract consumers or buyers to buy the house, and prospective buyers are also faced with various choices, including house prices, house locations, and house models. And various choices that will affect the choice of a dream home. With the existing problems, it is necessary to design a decision support system that is designed with an incremental model. The method used in order to provide a recommendation is the weighted product method. With the existing problems, this study aims to provide recommendations for which housing to be chosen by consumers. The results obtained in this study in the form of calculations using the weighted product method, it was found that a company named PT Berkah Prosperous as a housing company had the highest preference weight value of 7.35852. With these results obtained, the first recommendation for determining the ideal housing was chosen from the company PT Berkah Sejahtera.
Penerapan Algoritma Regresi Linier pada Prediksi Tarif Influencer Media Sosial
Authors: Alifi Muhammad Riza , Hayati Hashri , Fauzi Cholid
Published: May 2023

The influencer industry has emerged as a result of social media disruption, and its members can affect audience interest in the goods and services being advertised. Because advertising performance on social media is more quantifiable than it is with traditional media, using influencer services is thought to be preferable. Influencer rates are often dependent on reach, engagement, and follower count. However, since there is no reference standard used in determining the prices, it could harm one of the parties. In order to reduce the impact of losses for both influencers in giving rates and clients in accepting rate offers, this study intends to propose a solution in the form of a machine learning-based influencer rate prediction model that can be used as a reference. The stages of this study are literature review, data gathering, pre-processing of the data, linear regression model development, and model evaluation. Five different models were produced as a result of this investigation. One of the best models has an MAE of 145401.484375, an MSE of 7.222241e+10, and an RMSE of 268742.250. These findings are affected by the hyperparameter learning rate of 0.001 and the epoch of 1,000. Most of the test data have not been completely represented by the model. The little number of datasets utilized for training, only 161 rows with 4 positively correlated attributes, is one of the reasons why the model is not really optimal. Nevertheless, from the standpoint of using a relatively small dataset, the model developed in this study is quite successful because several of the prediction results are fairly near to the real value, one of which is the prediction value with an error difference of −347.69.
Perbandingan Algoritma K-Means Dan K-Medoids Pada Pengelompokan Humidity, Temperature, Dan Voltage Di Data Center Perawang
Authors: Luchia Nanda Try , Mustakim Mustakim
Published: May 2023

A data center is a facility managed by a company for data storage (database) and telecommunications from all computer system components and needs. Monitoring the level of humidity, temperature, and voltage is needed to support the performance of the data center and can be done with AKCP. Because of that, it is necessary to group Humidity, Temperature and Voltage of Perawang DC to optimize the monitoring process. Various methods are used to make it easier for companies to determine the best grouping of performance data found in the data center. In this research, data was obtained from Systemlog AKCP PT. Arara Abadi, Perawang from January 21, 2022 – March 19, 2022. This research is expected to make it easier for companies to determine which algorithm is the right one for grouping air humidity, temperature and voltage levels in the Perawang data center by comparing two algorithms namely K-Means and K-Medoids. Based on the research results, K-Means is better in grouping the Humidity, Temperature and Voltage data of Perawang DC in PT. Arara Abadi, Perawang because it has accurate cluster accuracy compared to K-Medoids with a DBI value of 0.306 in the K=2 experiment and the process time is only 1 minute 22 seconds.
Pemanfaatan Augmented Reality Sebagai Media Pengenalan Atribut TNI Angkatan Darat Berbasis Android
Authors: Edy Rachmat , Dafitri Haida , Andriana Septiana Dewi
Published: May 2023

Augmented Reality is an activity that combines the appearance of virtual and real objects (objects) in real life and at that time will also display 3D objects that we want to see in real time. The process of combining virtual and real objects using technology that continues to develop rapidly in the world of design, interactivity is aimed at the input devices needed to support the goals to be achieved. Augmented reality technology at the Indonesian Army Attributes application is an application that uses the Markerless method with the Pattern Matching technique to display augmented reality 3D objects at the Indonesian Army Attributes. This application system can help users, especially prospective students (cassis) to make it easier for prospective students (casis) to achieve their goals of becoming an Indonesian Army Soldier, starting from the recruitment level and selection of units on duty. This technology can guide users to directly view 3D Indonesian Army Attributes objects without having to browse, not to mention network constraints when accessed, which takes longer. This application system is based on Android and can be accessed and used offline.
Pengembangan Multimedia Interaktif Hewan Berbisa dengan Metode Multimedia Development Life Cycle
Authors: Aldo Dasril , Ilmi Miftahul , Hariselmi Hariselmi
Published: May 2023

The problem that is the main focus of this research is the lack of interesting interactive multimedia-based educational information media as a provider of information about venomous animals. This information should also be a concern because these venomous animals are very dangerous, especially for children who still lack information about this. The aim of this research is to become a source of educative information to the public, especially children, about venomous animals as attractive as possible and easy to use. Interactive multimedia is one solution to this problem. The Multimedia Development Life Cycle method is used as a guide in building interactive multimedia with the stages of Concept, Design, Material Collecting, Assembly, Testing and Distribution. From the results of testing in alpha testing all the features in this interactive multimedia can run well. With the results of beta testing on 30 respondents, they get a rating of 4.54 out of 5, so this interactive multimedia is very good and suitable for use as an educative information medium about venomous animals.
Sistem Manajemen Inventori Gadget dengan Metode Waterfall
Authors: Nuryamin Yamin , Budi Eko Setia , Kadafi Abdul Rahman
Published: May 2023

Stock management system online can do supervision for the better.Lack of supervision be negative effects for the acceptance or expenditure so management reporting and oversight of the use of goods delayed.The purpose of this research has persediaan management information system in use of terjun mhk gadgets that can be accessed and supervised online.Design system using the unified modelling language, programming language and mysql php database.Research it produces persediaan management information system that provides information goods in and  freight out and facilitate report receipts and disbursements goods, so that the be stock the information can be conducted easily.
Analisis Karakteristik Antivirus Berdasarkan Aktivitas Malware menggunakan Analisis Dinamis
Authors: Haritsah Ma'arij , Widjajarto Adityas , Almaarif Ahmad
Published: May 2023

Malware, short for “Malicious Software”, is a program specifically designed to perform an activity that can harm software on a victim's device. Examples of commonly found malware include trojans, ransomware and downloaders. It is important for computer users to recognize and avoid malware when using computer devices. Therefore, computer users can overcome malware attacks by using protection software specifically for computer devices using Antivirus software designed to prevent, find, detect, and remove the types of malware that have been mentioned previously. In this study, the dynamic analysis method is used to determine malware activity by running it and monitoring the activity that occurs. This method is usually used to identify the actions that malware performs when it runs. The results showed that the higher the number of malware activities, the higher the metrics tested on the antivirus, such as CPU, memory, disk, and scan time. Regarding the removable drive protection feature, Avast antivirus is relatively more efficient compared to other antiviruses because it has an average CPU usage, low memory, a fairly high detection rate, and fast scan times. Kaspersky Antivirus is relatively the most effective in detecting malware samples with the highest detection rate of 100%. Meanwhile, the Windows Defender antivirus is relatively the weakest in terms of detection rate because it has the lowest detection rate.
Pengembangan E-Learning Management System Untuk Tingkat Sekolah Dasar Berbasis Website dengan Metode Agile
Authors: Putra Eka Permana , Triayudi Agung , Iskandar Agus
Published: May 2023

Information Technology has played an important role as a medium of information and communication in the field of education, one of which is in the Academic Management of Schools. In the world of educational technology it is not only related to the internet but can also be seen from the system or how to teach in schools. At present, the learning process using E-learning can be interactive so that students are able to interact with technology as a learning medium. Web-based learning media (e-learning) is a web that can help educators in the rapidly developing era of information and communication technology development. In this research, the problem that arises in the school environment is that there is no special place for students and teachers to be organized in obtaining learning materials and collecting assignments, documentation of knowledge of learning materials that are not stored properly, so it takes a long time to find the required knowledge back. Therefore used data collection methods, namely the method of observation, interview methods (interviews), and literature study. The Agile method is the most appropriate method used to design this system with the aim that the author can help ease the task of students and teachers in carrying out their duties. The results achieved in making the e-learning application at SDN Tengah 01 KramatJati are that students can understand material without a time limit, consult, take quizzes, upload assignments and can immediately see their learning results in person, while teachers can upload material, create questions and give them directly live.
Analisis Sentimen Pengunjung Pulau Komodo dan Pulau Rinca di Website Tripadvisor Berbasis CRISP-DM
Authors: Singgalen Yerik Afrianto
Published: May 2023

A sentiment analysis is needed to identify tourist preferences for products and services in a tourist destination. Therefore, this study uses the Cross-Industry Standard Procedure for Data Mining (CRISP-DM) method to classify visitor review data for Komodo Island and Rinca Island obtained from the Tripadvisor website based on negative and positive sentiments, then recommends the development of an information system that can optimize the products and services of tourist destinations on Komodo Island and Rinca Island. Meanwhile, the algorithms used are k-Nearest Neighbor (k-NN), Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), and Decision Tree (DT). Based on the results of data classification using the word weighting method or Term Frequency Inverse Document Frequency (TF-IDF) through the sentiment extract operator, it can be known that the five words that most often appear in tourist reviews of Komodo Island are as follows: Komodo dragons (1894), dragons (1596), island (1492), tour (840), boat (774). Meanwhile, the five words that most often appear in tourist reviews of Rinca Island are as follows: komodo dragon (1042), dragons (962), island (882), rinca (606), and boat (372).  In addition, the results of the classification of 564 Komodo Island tourist review data and 364 Rinca Island tourist review data using CRISP-DM-based k-NN, NBC, SVM, and DT algorithms, show that the Support Vector Machine (SVM) is the best-performing algorithm where the accuracy value is 99.69%, precision 100%, recall 99.39%, f-measure 99.69%, Area Under Curve (AUC) 100% and t-Test 0.958. Meanwhile, the results of processing tourist review data on Rinca Island products and services show that the Support Vector Machine (SVM) algorithm has the best performance with 100% accuracy, 100% precision, 100% recall, 100% f-measure, 100% Area Under Curve (AUC) and 0.964 t-Test.  After comparing the performance of SVM before and after using the Synthetic Minority Oversampling Technique (SMOTE), it can be seen that the implementation of the algorithm becomes more optimal when using the SMOTE operator. Thus, SVM is a relevant algorithm used as a model for analyzing tourist sentiment on Komodo Island and Rinca Island based on CRISP-DM.
Comparação do nível de satisfação nas aulas de Educação Física de alunos participantes e não participantes do Programa de Residência Pedagógica
Authors: Lima George Almeida , Jucá Luan Gonçalves , Ferreira Ramon da Silva , Cristo Júnior Carlos Henrique Nascimento de , Moura Diego Luz
Published: May 2023

Objetivamos comparar o nível de satisfação nas aulas de Educação Física de alunos participantes e não participantes do Programa de Residência Pedagógica (PRP). Realizamos uma pesquisa quali-quantitativa em duas escolas públicas de ensino fundamental do município de Petrolina/PE. Uma das escolas não contemplava o Programa (escola A), a outra abrangia esse programa (escola B). Foram incluídos 274 alunos de ambos os sexos. Aplicamos um questionário validado do ISEF (Índice de Satisfação em Educação Física), posteriormente analisamos os dados de forma estatística descritiva simples através do Microsoft Excel. Houve diferença significativa entre as escolas em relação ao índice de satisfação nas aulas de Educação Física. Os alunos com acesso ao PRP possuem maior compreensão sobre a importância da Educação Física e participam ativamente das aulas. A efetivação do PRP acarretou impactos positivos no desenvolvimento dessa disciplina no currículo escolar, contribuindo para a ampliação da satisfação dos alunos.
Impact of Occupational Safety and Health on Employees’ Performance at Zanzibar Government Printing Press in Unguja-Zanzibar
Authors:   Master Student: Department of Public Administration, Zanzibar University. P.O.Box 3692 Zanzibar, Mussa Vuai Hussein , Haroonah Assoc. Prof. Nsubuga ,   Assoc. Prof. Department of Public Administration, Faculty of Arts and Social Sciences, Zanzibar University P.O. Box 2440 Tunguu, Zanzibar, Ali Haji Senior Dr. Haji ,   Lecturer: Department of Information Studies, Faculty of Arts and Social Sciences, Zanzibar University. P.O. Box 2440 Tunguu, Zanzibar
Published: May 2023

The purpose of this study was to assess the Impact of Occupational Safety and Health on Employees’ Performance at Zanzibar Government Printing Press (ZGPP) in Unguja. The specific objectives of this study were to assess how work environment affects employees’ performance at the ZGPP, to examine how precautionary measures of occupational health may improve employees’ performance and to assess how Occupational Health hampers employees’ performance at the ZGPP. The study adopted descriptive study design, while self-administered questionnaires were used to collect data from the respondents. This study covered the staff of Zanzibar Government Printing Press (ZGPP) who were simple randomly selected from a sample frame of 127. A total of 106 respondents were selected for the study. Data was analyzed using Statistical Packages for Social Science (SPSS) to capture the impact of Occupational Safety and Health on Employees’ Performance at ZGPP and regression model was used for data processing and analysis of the relationship between the variables. The findings of the study showed that, just more than half (63.4%) of the respondents were male, the study also revealed that, about 44.6% of the respondents lacked knowledge of OSH. However, liner regression analysis was done to establish the relationship between the independent and dependent variables. The study discovered that, variable of working condition had strong relationship (β = 0.468, t = 5.273, p < 0.05) on employees’ performance with the significance level of p < 0.05. The study also revealed that, Occupational Health had significant effect (β = 0.246, t = 2.521, p < 0.05) on employees’ performance at ZGPP. Additionally, it was also discovered that, there was no work place precautionary measures addressed (β = 0.087, t = 0.868, p > 0.05) on employees’ performance. Although these findings showed that work place precautionary measure had negative effect on employees’ performance at ZGPP. Thus, it was recommended that, ZGPP should focus more on the protection and prevention of OSH, improve occupational health in terms of training of OSH, enforcement of regulation and policy of OSH continuously towards employees’ performance. As the study design was descriptive in nature and could not establish causality and temporality, an in-depth longitudinal follow up study would be recommended to yield better association.
Assessment of Organization Readiness in the Implementation of Change Management (Case Study: PT. IMS)
Authors:   School of Business and Management, Institut Teknologi Bandung, Indonesia, Amelia Zahara , Sushandoyo Dedy ,   School of Business and Management, Institut Teknologi Bandung, Indonesia
Published: May 2023

PT. IMS is one of the local companies, classified as medium enterprises, that produce bottled drinking water and distribute its products in the Aceh province area. The CEO of IMS initiated a change implementation, namely digital transformation in IMS business process Phase 1, by upgrading their management software system. The purpose of this change is for IMS to be digitized, more efficient and faster, in order to be more close to the customers and accurately analyze the customer’s expectations. This research aim to assess IMS Organizational readiness for change before implementing it, the readiness is assessed based on McKinsey 7S elements and its factors. This research collected data and information using qualitative method by conducting depth interview with the CEO of the company and managers of every departments, and desk research is also conducted to support the results. After doing a thematic qualitative analysis, the result shows that IMS is stated as ready for change by the CEO and the line managers in all elements. Moreover, if we dig deeper to 14 element’s factor, one of them is rated as not ready, namely organizational culture. The rest of it rated as ready, 7 of them (consist of Goals/Objectives, Strategic Plan, Size, IT infrastructure, Training & Education, Staff Skills, and Share Belief) still need minor improvement and 6 of them (Centralization, Data, Top Management Support, Project Team, Management skills and Company-wide Commitment) are ready to go ahead. The researcher also propose several solution that IMS could do to increase its organizational level of readiness to change, consist of create a change communication plan, create a facilities upgrading schedule and monitoring it, launch new policies to support the change, create training list, and plan continuous socialization events. Moreover, this research also proposed that IMS could better use Kotter’s 8 steps model as a strategy to ensure the change successfulness.
Natural Dye from Nerium Oleander L. and Dyeing of Cotton Fabrics Using Different Mordants with Evaluation of Colour Fastness, Strength and Antifungal Properties
Authors:   Department of Botany, Sree Narayana College, Kollam- 691001, A P Lakshmi , Murugan K ,   CISSA, Thiruvananthapuram, Kerala, India, vijayan Chithra ,   Department of Botany, Sree Narayana College, Kollam- 691001, A P Parvathy ,   Department of Botany, Sree Narayana College, Kollam- 691001
Published: May 2023

Globally, there is growing demand in natural colourants from plants in the food, cosmeceutical and pharmaceutical fields. Generally, among the various categories of secondary metabolites, carotenoids, anthocyanins, and phenols are significant plant-based pigments. Coloured pigments possess remarkable anthocyanin related to anti-oxidant, anti-inflammatory and anti-metastatic features. The major objective of this work was to elucidate the coloured pigments from Nerium oleander L. ornamental flowering shrub and its dying properties in cotton fabrics. Natural dye from flower methanolic extract of Nerium oleander was extracted. Dying experiment on bleached (H2O2) cotton fabric with density of 140 g / square meter was used. Pre, simultaneous and post -mordanting action of cotton fabric samples were carried out using 1-3 % of various metallic salts such as ferrous sulphate, potassium dichromate, stannous chloride, potassium aluminium sulfate. Color strength of the dyed samples for different dyeing condition was assessed by means of K/S value. Best color strength was yielded for the samples dyed with N. oleander which were mordanted with Potassium aluminium sulfate and FeSO4. Color fastness of the selected dyed samples to water, washing, perspiration and rubbing were also ideal. In all cases mordanted samples with Potassium aluminium sulfate and FeSO4 exhibited best results with simultaneous or post mordanting respectively. This results justifies designing a sustainable technology for mobilizing the usage of N. oleander for coloration of cotton fabrics. Fungicidal potential against A. flavus, A. niger, F. moniliforme and wash analysis also yielded significant results. The exquisite assessment of all tested properties of colored samples evolves this technology can be commercially implemented by considering large scale trails.
The Influence of Motives for Media Use, News Selection, and Attractiveness Level of Online Media on Reader Engagement
Authors:   Department of Communication Studies, Faculty of Social and Political Science, Universitas Nasional,Jakarta, Indonesia, Nursatyo Nursatyo , Arrianie Lely ,   Department of Communication Studies, Faculty of Social and Political Science, Universitas Nasional,Jakarta, Indonesia, Komariah Siti ,   Department of Communication Studies, Faculty of Social and Political Science, Universitas Nasional,Jakarta, Indonesia, Auliasari Ferenia Febi ,   Department of Communication Studies, Faculty of Social and Political Science, Universitas Nasional,Jakarta, Indonesia
Published: May 2023

Efforts to increase online media traffic can be realized by increasing reader engagement. The high frequency and intensity of readers and interactions in reading news online, such as commenting and sharing the article, indicate a high level of reader involvement. The article attempts to show the influence between the motives of using online media, news selection, and news attractiveness on the level of reader involvement. Through distributing questionnaires to 95 students, the study uses a survey method with an explanative quantitative approach. Data are analyzed using multivariate analysis techniques with correlation coefficient test and multiple linear regression. The results show a strong and positive correlation between the motive for media use, news selection, the level of media attractiveness, and the level of reader involvement of 0.659. The multiple linear regression test also proves a significant influence between the three independent variables on the level of reader involvement with an influential contribution of 43.4%.
Financial Performance and Firm Value with Managerial Ownership as Moderating Variables
Authors:   Universitas Islam Indonesia, Triyana Madhani Aris Gifan , Sutrisno Sutrisno ,   Universitas Islam Indonesia
Published: May 2023

This study aims to examine the effect of financial performance on firm value, both direct effect and through managerial ownership as an intervening variable. Financial performance consists of three variables: Profitability as measured by return on equity (ROE), Leverage as measured by debt to equity ratio (DER), and Liquidity as measured by current ratio (CR) to firm value as measured by price to book value (PBV) with managerial ownership (MOWN) as a moderating variable. The population in this study are infrastructure companies listed on the Indonesia Stock Exchange with a sample of 15 companies with a research period of 4 years, using a purposive sampling technique. To test the hypothesis, multiple regression analysis was used with a significance level of 0.05. The results showed that profitability had a positive and significant effect on firm value, leverage had a negative and significant effect on firm value, while liquidity had no effect on firm value. Managerial ownership is able to moderate the relationship between liquidity and firm value, but cannot moderate the relationship between Debt Equity Ratio and profitability to firm value.
Beneficiamento na qualidade física e fisiológica de sementes de grão-de-bico
Authors:   , Santos Samuel Gonçalves Ferreira dos
Published: May 2023

O grão-de-bico (Cicer arietinum L.) é uma Fabaceae de grande importância, sendo a segunda mais consumida no mundo, depois do feijão comum, constituindo em torno de 20% da produção mundial de leguminosas. A espécie é propagada sexuadamente, sendo necessário o estudo de técnicas adequadas, como o beneficiamento, para garantir a produção de sementes de alta qualidade. O beneficiamento consiste no processo pelo qual são realizadas operações sequenciais em equipamentos específicos, através dos quais as sementes são limpas, classificadas e tratadas, tendo em vista a melhoria da sua qualidade geral. Poucas informações referentes ao beneficiamento de sementes de grão-de-bico estão presentes na literatura. Ainda, salienta-se que suas sementes podem apresentar diferenças na variabilidade dimensional, sendo importante uma padronização por tamanho das mesmas, com o intuito de facilitar a operação de semeadura e permitir a obtenção de uma população de plantas capaz de propiciar os melhores rendimentos por área. O presente trabalho teve como objetivos avaliar a qualidade fisiológica de sementes de grão-de-bico de diferentes tamanhos e; avaliar os efeitos das etapas do beneficiamento na qualidade física e fisiológica das sementes. Para a avaliação do efeito do tamanho, as sementes foram classificadas em quatro classes de tamanho, com auxílio de quatro peneiras de crivo circular, sendo elas de 10, 9, 8 e 7 mm de diâmetro. Portanto, os tratamentos foram constituídos por quatro classes de tamanhos de sementes e um lote sem classificação (Controle). Para avaliar o efeito das etapas do beneficiamento nas sementes de grão-de-bico, realizaram-se amostragens de sementes antes do processamento e em vários pontos da linha de beneficiamento, com destaques para a máquina de ventilador e peneiras (um, após passagem na peneira superior, de 12 mm; e outro, sementes retidas na peneira inferior, de 7,5 mm) e mesa de gravidade (nas descargas superior, intermediária alta, intermediária baixa e inferior). As sementes foram avaliadas quanto ao teor de água, pureza física (somente para as sementes oriundas do beneficiamento), peso de mil sementes, teste de germinação, teste de condutividade elétrica, emergência em areia, índice de velocidade de emergência, envelhecimento acelerado e teste de tetrazólio. Recomenda-se a utilização de sementes classificadas em peneiras 8 e 9 milímetros. O processo de beneficiamento na máquina de ar e peneiras, seguido pela mesa de gravidade, é eficiente para a melhoria da qualidade física e fisiológica do lote de sementes de grão- de-bico. Palavras-chave: Pulses. Mesa de gravidade. Máquina de ventilador e peneiras. Hortaliças.
Territorial Marketing for A Collective Momentum and A Positive Vision Case of the “We Casablanca” Brand
Authors:   Research Professor at Hassan II Casablanca University, ENCG-Casablanca, Yasmine Alaoui , Khatib Majda ,   PhD in Economics and Management from ENCG-Tangier
Published: May 2023

The purpose of this research is to examine the relevance of the establishment of a territorial brand and its ability to honour its promises in terms of optimizing territorial actions for the inhabitants, tourists and investors, as well as its ability to bring stakeholders together and bring them together around a single mission: to promote the territory at the national and international levels. We considered the territory of Casablanca/ Morocco suitable for research for two main reasons; the first is that we are close to the problem since we collaborate with the local development company «Casablanca Events & animation» pilot of the «WeCasablanca» territorial brand, the second is that the brand is the first territorial brand launched in Africa in 2016. We chose a multi-target system incorporating the three territorial marketing targets and a methodological mix combining two approaches conducted simultaneously; a qualitative approach for an in-depth investigation, and a quantitative approach for a measured diagnosis. The main results show that Casablanca is a city appreciated by its residents and tourists but whose image is contrasted and that the Wecasablanca brand is a brand that reflects great positive and federating perspectives of stakeholders but that we should continue to build
Students’ Self-Identified Social Group and Their Perceptions of a Social Hierarchy at Their School
Authors: Surace Hailey , McGee Rhonda
Published: May 2023

This research explores whether high school students’ perceptions of the prevalence of a social hierarchy at their school vary depending on the status of the students’ self-identified social group. Multiple past studies and popular media have identified that students of all age levels form social groups with similar peers, and these groups often have different popularity and status rankings within the school environment. Previous research has noted that students’ perceptions of peer dynamics can vary based on one’s own social group, and this study explores this specifically by comparing students’ perceptions of the prevalence a social hierarchy at their school to their self-identification with one of the 12 social groups defined in a study titled Contemporary College Students’ Reflections on Their High School Peer Crowds by Rachel Gordon and other researchers in 2019. A voluntary, electronic survey was sent to students of North Creek High School asking students to describe their social group’s status level and their opinion of the prevalence of a social hierarchy at North Creek. Analysis of the 125 survey responses found that there was a significant positive correlation between the self-identified status of a student’s social group and the student’s perception of the prevalence of a hierarchy. Additionally, self-identified high-status students identified more distinct and stereotypical social groups at their school than self-identified low-status students did. The connections these results have to past research are discussed and avenues for further exploration are identified.
The Presence of Political Parasocial Interaction in the Websites of U.S. Senators
Authors: Patllollu Riddhima , Hans Patricia
Published: May 2023

The growing trend of parasocial activity in the digital age raises the question of its role in the relationship between website interface and website user, with specific regard to parasocial activity in politics and the implications of the former. To address this gap, I conducted a QUAL-QUAN content analysis on the campaign websites of each member of the U.S. Senate to identify trends in website interface design that may foster parasocial interaction. Consequently, I validated the findings of the content analysis through a qualitative comparative analysis that utilized accredited sources as a model for what constitutes parasocial interaction. My results were conclusive, with certain website components (call-to-action, social media content, biographical content, newsletter forms, and constituent services) appearing with significant frequency across all campaign websites. When compared with the models of the accredited sources, they revealed that the placement and content of these website components can be purposed to foster parasocial interaction between website interface and website user. However, the results may have been influenced by political bias or the errors of manual content analysis of various website components at a large scale. On a broader scope, this paper hopes to draw attention to a less commonly analyzed form of media, the website, in the field of research on parasocial activity. Furthermore, it may serve as a basis for reflection on the possible effects of the presence of political parasocial interaction on websites on the website user, and the United States’ political processes in an increasingly digital era.
Policies Against Unemployment Through Behavioral Economics
Authors: Ertürk Alp
Published: May 2023

Unemployment is an issue that continues to persist around the world. It has many negative consequences on an individual, such as lower self-esteem, and this paper looks at how these effects could be mitigated, by ensuring the reemployment of these individuals, through a behavioral economics approach. Understanding and examining the heuristics of anchoring effect, status quo bias, and framing, allows us to shape new policies and amend existing ones that mitigate these negative effects. This happens as these new policies nudge both policymakers, and recently unemployed individuals to make decisions that would benefit them in situations regarding unemployment.
Concerning the different pronunciations of “our,” how does the pronunciation affect people of generational and foreign language background differences?
Authors: Sydnor Wesley
Published: May 2023

The younger generation’s dialect has changed rapidly due to the increased consumption of media from different backgrounds. Changing dialect affects the way we communicate with each other. The research question I curated concerned the different pronunciations of “our,” and how the difference in pronunciation affects people of generational and foreign language backgrounds. The methods of the study included a short sequence of questionnaires to provide interest, statistical information, as well as availability information for myself (the interviewer) to find a time at which I may interview the participant. The takeaway from the research was originally to research more on the topic of the generational differences of dialects. However, upon further inspection of my participant pool, another observation of the variables was needed to encompass the entire population. Thus, it can be concluded that dialect changes among people with the competing dialects of the older and younger generations affect the non-native population. The hypothesis suggests there is a relationship between dialect used by both younger and older generations, which  impacts L2 English speakers and their pronunciation of “our.” The results were calculated by hand from data collected on Google Sheets. It can be assumed that the [‘aʊɚ] to [‘ar] pronunciation dialect change affected most of the older and younger populations. 42.86% of the total participants used the pronunciation of “our” as [‘aʊɚ], meaning that less than half of the population used the “proper” pronunciation of “our.” The following results are deemed inconclusive due to the number of variables that were present.
Means of Effectiveness of Treatments Inducing Neuroplasticity for Rehabilitation After Stroke
Authors: Ahmed Mohammed , Abercrombie Jason
Published: May 2023

Two main causes of stroke in a person are recognized as an ischemic stroke or a hemorrhagic stroke. The former is caused by a blocked brain artery, whereas the latter is due to a bursting of a blood vessel (Mayo Clinic, n.d.). As it stands, there are currently a variety of treatments used on individuals who undergo a stroke. Many of these treatments consist of inducing a “rewiring” in the brain to reduce, and sometimes rid the individual of the effects of a stroke. This phenomenon is commonly recognized as neuroplasticity. In order to induce neuroplasticity, the treatments in question are typically rehabilitation activities. It is important to understand that a stroke causes damage to the brain due to interrupted blood flow. Through increasing neuroplasticity in one’s brain, it is possible to make cellular as well as neuronal connections in the parts of the brain damaged during the course of the stroke. In this paper, the treatments discussed will be evaluated on their efficiency, ease of access, and how well they achieve their purpose. These treatments represent 4 different facets of intervention: neuromodulatory therapy, physical therapy, conventional therapy, and language therapy.