bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Pengaruh Data Augmentasi Pada Klasifikasi Bumbu Dapur Menggunakan Convolutional Neural Network
Authors: Pradnya D Windha Mega , Kusumaningtyas Agita Putri
Published: January 2023

Indonesia is a country that produces the best spices and herbs. The types of kitchen spices and spices are indeed very diverse and almost similar, so many people cannot distinguish between the types. So it is necessary to create a digital image processing model to sort out the types of spices and herbs. Due to the minimal data in making the classification model, the use of augmented data is used to make the data more diverse. This study aims to compare architecture by applying augmentation and not applying augmentation from photo data of kitchen spices. From the two models, it will be known which level of accuracy of each model is higher than the two models. This study uses the Convolutional Neural Networks method using a mapped architecture. Then use the confusion matrix method for the results after testing is carried out on data testing. The test was carried out with 80 testing data images consisting of own photo images and internet search images. The result of this research is obtained a model for the classification of kitchen spices. The test results show that CNNs that do not apply augmentation from the model only get an accuracy of 54%, while CNNs that apply augmentations from the model get an accuracy of 80%. The application of augmentation to the model gets higher accuracy because the process of using augmentation is to increase the amount of data by creating new data from existing data so as to make more image data. For internet search data and own photos, higher accuracy is data from internet searches. The model that has the highest accuracy is then implemented into a web-based application.
Data Mining Dalam Penentuan Pemesanan Buku Perpustakaan UAD dengan Menggunakan Metode Naïve Bayes
Authors: Hadiwibowo Muhammad Iqbal , Rahani Faisal Fajri
Published: January 2023

Library Universitas Ahmad Dahlan (UAD) has not utilized technology in the book ordering process. The process of ordering books from distributors requires many considerations such as the number of requests, recommendations for study programs, location, year and language. This consideration made the UAD Library take more than 2 weeks in the book selection process. This study aims to apply data mining in determining book orders using the Naïve Bayes method. This study uses 1106 book procurement data for the past year with criteria, namely the number of requests, study program recommendations, location, year, and language. Implementation of data mining using the Naïve Bayes algorithm is carried out in stages including data cleaning, data selection, data transformation, sharing of training data and data testing, implementation and results of the Nave Bayes algorithm and system testing. System testing using the Confusion Matrix method. Based on the Confussion Matrix calculation on the testing data, the accuracy is 90.24%, the precision is 89.69%, the recall is 93.54%, the specificity is 91.04%, and the F1 score is 91.57%. It was concluded that the system test results were said to be good.
Telkom University Opinion Topic Modeling on Twitter Using Latent Dirichlet Allocation During Covid-19 Pandemic
Authors: Pratama Tandya Rizky , Richasdy Donni , Purbolaksono Mahendra Dwifebri
Published: January 2023

In the current digital era, the development of information technology is growing rapidly. The development of information technology is followed by the development of social media, one of the social media that is on the rise is Twitter. Because there are many Twitter users around the world, Twitter stores a lot of data that can be used for something, one of which is to determine the category of public opinion about a company or university, in this study the focus is more on the category of public opinion about Telkom University. The public opinion can be grouped or categorized to make it easier to determine the topic being discussed. Determining opinions manually will take a long time due to the large number of tweets. Therefore, there must be another method to determine the categories of public opinion on Twitter. One of them is the Latent Dirichlet Allocation (LDA) method with a dataset of tweets of Indonesian-language Twitter users. With this method, grouping tweets on a large scale is more efficient. From the modeling made, the most optimum results obtained with a coherence score using the c_umass method of -15.33029 with a combination of 9 topics, 0.31 alpha value, and 0.01 beta value.
Depression Detection on Social Media Twitter Using Long Short-Term Memory
Authors: Windjatika Hafshah Haudli , Maharani Warih
Published: January 2023

Mental health problems in the world, especially in Indonesia are still significant. According to the Ministry of Health of the Republic of Indonesia stated that depression is experienced by adolescents from the age of 15 to 24 years. The depression experienced by a person is sometimes not realized by the sufferer, so social media becomes an intermediary to express feelings in text form. From the available data, this case pushes the research to detect depression disorder. Detecting depression performs to know the Twitter user who experiences depression. Data used from 159 Twitter users for every username is taken from 100 tweets. In this research, we use Word2Vec and LSTM (Long Short-Term Memory) features as the classification method. The Word2Vec works in converting data as vector and seeing the relation for every word. LSTM is chosen since the dataset is used to collect tweet from the past tense and this method be able to save the data from the past doing prediction. The classification is performed by processing the data trained such as tweeting which becomes a model for processing the data trained test. Based on the test result produce the accuracy data is 77.95% and the F1-Score is 57.14%.
Pemetaan Karakteristik Sekolah Sasaran Promosi pada UNKRISWINA SUMBA menggunakan K-Means
Authors: Lobo Murry Albert Agustin , Prasetyo Sri Yulianto J , Hartomo Kristoko D
Published: January 2023

The rapid development of technology has an impact on how data is collected. A high level of data productivity will be in vain if it is not followed by the ability to process data that can produce information that helps the development of the organization. This study aims to help the Promotion Section of UNKRISWINA SUMBA in mapping the characteristics of the target schools and then provide alternative promotion strategies as input in formulating forms of institutional promotion. The data used is in the form of student data who have registered at UNKRISWINA SUMBA since 2016 – 2020. Data processing uses the concept of data mining by applying the K-Means algorithm. K-Means algorithm is used for clustering promotion target schools as many as 4 clusters. Cluster determination is carried out using the elbow method to determine the optimal value of k to perform calculations. Based on the results of processing based on the K-Means algorithm, it is known that as many as 8 schools in cluster 0 are the schools with the most students enrolling in UNKRISWINA SUMBA, 76 schools in cluster 1 are schools with the fewest students enrolling in UNKRISWINA SUMBA, 21 schools those in cluster 2 are schools with quite a lot of students enrolling in UNKRISWINA SUMBA, and 1 school in cluster 3 is a school with quite a number of students enrolling in UNKRISWINA SUMBA but focusing on the Economic Development and Management study program.
Rancangan Aplikasi Pengelolaan Event, Pemesanan E-Tiket dan E-Sertifikat di Politeknik Negeri Sriwijaya
Authors: Salsabila Widia , Taqwa Ahmad , Lindawati Lindawati
Published: January 2023

State Polytechnic of Sriwijaya currently uses the conventional method of distributing information, such as posting event pamphlets on campus bulletin boards. However, this method has proven ineffective because many students rarely see the bulletin boards, resulting in some failing to register for events because they are unaware of them. In addition, the procedure for registering event participants is still inefficient, as participants' information is handwritten on the registration form paper, which might result in the paper being lost or damaged. Then, the event certificate issuing system still in physical form will necessitate a lengthier issue procedure. Therefore, an event management system must be created to facilitate the distribution of information about upcoming events at the State Polytechnic of Sriwijaya. This system also incorporates ticket purchasing and certificate issuance using Android and the Laravel website, allowing for more efficient event ticket purchase and issuing electronic certificates (e-certificates). The prototype method is used in the application development method and the Unified Modeling Language (UML) system was used in the system design phase, while MySQL was employed as the database. This study reveals that the designed application system can efficiently support the online distribution of information, ticket purchasing, and issuance of electronic certificates. The findings of system testing via the blackbox method demonstrate that all of the designed application system's features operate correctly and effectively. From the results of the UAT test, this system is included in the very feasible category. Supported by the results of software testing of each factor: variable functionality 96.2% (very feasible), variable Efficiency 97.2% (very feasible), variable Usability 96.2% (very feasible).
Sistem Informasi Pendugaan Kekerasan Terhadap Perempuan dan Anak Menggunakan Metode Small Area Estimation
Authors: Munir S Misbahul , Mutiah Nurul , Rahmayudha Syahru , Sari Renny Puspita
Published: January 2023

Based on data obtained from the SIMFONI-PPA Application, the Office of Women's Empowerment, Child Protection, Population Control and Family Planning (DP3AP2KB) Sambas Regency, in 2017 there were 95 cases of violence against women and children in Sambas Regency, then in 2018 there were 43 cases, followed by in 2019 as many as 49 cases, and in 2020 as many as 64 cases. This shows an increasing trend in the number of cases of violence that occur from year to year. The increasing trend is caused by the lack of access to information to make complaints, the processing of data on areas of violence that has not been integrated, so that the government does not have up-to-date data to anticipate. To support DP3AP2KB in handling and preventing violence, this research builds a system based on the estimation of violence against women and children by utilizing the Small Area Estimation Method, especially the IDW interpolation technique. This research was carried out by processing data through the ArcGIS application to determine the pattern of areas prone to violence, using interpolation techniques to predict unmeasured variables at various locations, with IDW assuming that the closer a point is to an unknown point, the greater the effect. . IDW uses the values measured at points around the location, to estimate the value of the variable at the location in question. Then the results of data processing is implemented in a web-based geographic information system. The system that has been built has been tested using the black box method and calculated using a Likert scale, obtaining a value of 86.20% which is included in the Very Good category.
Prediction of Bandung City Traffic Classification Using Machine Learning and Spatial Analysis
Authors: Hardy Adhitya Aldira , Rohmawati Aniq Atiqi , Prasetyowati Sri Suryani
Published: January 2023

This research proposes a visualization of Bandung City congestion map classification using machine learning and kriging interpolation methods. The machine learning methods used are Naive Bayes and Artificial Neural Network (ANN) for the congestion classification process. The kriging interpolation used is simple kriging to create a spatial location map visualization on the congestion classification prediction. They are based on the classification results of both methods. Naïve Bayes is ideal supervised learning for classification, while ANN is ideal unsupervised learning for prediction. The classification was performed on arterial and collector roads with 11 intersections that are congestion points. The data used is traffic counting data for Bandung City in April 2022. The congestion classification is divided into four categories based on the congestion level. This category division causes data imbalance, so the Random Oversampling technique is used to overcome data imbalance. The result is that the ANN method has better performance, with an accuracy rate of 93% and an RMSE value of 0.9746, while the Naïve Bayes method has an accuracy rate of 90% and an RMSE value of 0.9381. The resulting classification map shows that in April 2022, the southern area of Bandung City experienced the highest congestion compared to the northern, western and southern areas. This research provides the best algorithm between the two methods. It provides information on congestion in Bandung City by visualizing the congestion classification map to reduce traffic congestion in the city of Bandung.
Analysis of Telkom University News Subjects on Popular Indonesian News Portals Using a Combination of Hidden Markov Model (HMM) and Rule Based Methods
Authors: Al-Farrel Rendhy , Richasdy Donni , Purbolaksono Mahendra Dwifebri
Published: January 2023

News media are often found in everyday life as a means of information for the public about something that is happening. In news articles, it is common to see several sentences that support the object to increase its popularity by being promoted by the subject. Part of Speech Tagging can determine the class of words in the sentence according to Tagsets provided by the corpus. That way, the search for the subject in the news article can be found from the word class obtained from a corpus. This research was focused on finding the subject "who" repeatedly spreading the news about Telkom University by using Part of Speech Tagging with the Hidden Markov Model and Rule Based on a news dataset from popular news portals about Telkom University. The process is taking all news about Telkom University on popular news portals and classifying it using the Hidden Markov Model and Rule-Based. We conducted to enhance the research results by changing the probability estimator on Hidden Markov Model. After running some scenarios, the best results obtained by the Hidden Markov Model and Rule-Based are the Accuracy of 94.96%, the Precision of 94.99%, the Recall of 94.96%, and the F1-Score of 94.95%.
Penerapan Algoritma Random Forest dalam Menganalisa Perubahan Suhu Permukaan Wilayah Kota Salatiga
Authors: Mahesti Triloka , Hartomo Kristoko Dwi , Prasetyo Sri Yulianto Joko
Published: January 2023

The population increase in Salatiga city is growing rapidly from 2010 to 2020. This change affects the area with vegetation cover, increasing building density and increasing land surface temperatures. The rising of land surface temperature can affect climate change, air quality, human health quality and energy usage. The purpose of this research is to find out the effect of the area with built-up land and area with vegetation cover to land surface temperature by exploring the values of NDVI, NDBI, LST and Albedo. This research shows that the NDVI value has decreased while the NDBI, LST and Albedo values have increased from 2014 to 2021. The values of NDVI, NDBI and Albedo are the components used as validation of the value of the land surface temperature (LST) change in the study area. The results of the correlation between indices show that the highest correlation occurs between NDVI and NDBI with a value of -0.979 which has a negative correlation because vegetation density is always inversely proportional to the density of built up land. The classification results show that there are 7 villages in Salatiga City with high temperature increases, the villages name are Cebongan, Mangunsari, Ledok, Kutowinangun Kidul, Gendongan, Salatiga and Kalicacing. The results of the accuracy and kappa values in the Random Forest algorithm are quite accurate with an accuracy value of 90% and a kappa value of 73%. The usability test in this study was carried out by distributing questionnaires to city planning department in Salatiga City who had a recapitulation result of 3.62 with the criteria "quite useful". From these results, this research is in accordance with its objectives, the result can be used as one of the city government's recommendations for policy making, especially in Salatiga city planning department.
Penerapan Metode Double Moving Average dalam Memprediksi Permintaan Kayu
Authors: Irawan Denny , Agus Raja Tama Andri , Sahren Sahren
Published: January 2023

UD. Tunas Meranti Kuala Tanjung is a business engaged in the manufacture of furniture. Problems faced by UD. Tunas Meranti is difficult to predict the demand for the type of wood that customers want for furniture making, so it is difficult to determine which type of wood should be in stock every month. If the supply of wood exceeds demand then storage costs will increase. The risk is that wood that is stored for too long will become dry, hard and difficult to process. To maintain business continuity, a wood supply strategy is needed, namely by making predictions (forecasting). The purpose of this research is to be able to predict the demand for wood types so that business owners can provide wood types according to customer needs. The method used in this study is the Double Moving Average method in order to minimize the chance of errors between predictions and actual data. To be more efficient, the author designed a web-based forecasting system and uses a MySQL database. The conclusion from the prediction results of meranti wood demand for the next period is 43 sticks with a MAPE value of 8% and mahogany wood is 19 sticks with a MAPE value of 11%, which means that the prediction using the DMA method is very effective.
Deteksi Hama Pada Daun Apel Menggunakan Algoritma Convolutional Neural Network
Authors: Husen Dede , Kusrini Kusrini , Kusnawi Kusnawi
Published: January 2023

Today the need for fruit consumption is increasing along with the increasing human population and awareness of the consumption of nutritious foods, apples are one of the most consumed fruits by humans worldwide. According to data quoted from the Indonesian National Statistics Center in 2021, apple production in 2021 decreased from the previous year from 519,531 tons to 509,544 tons. One of the causes of the decline in apple production is the presence of pests on the apple plant. At least there are several types of pests that can be identified on apple leaves, namely Apple Scrub (Venturia inaequalis), Apple Black Root (Botryosphaeria) and Apple Cedar/Rust (Gymnosporangium juniperi virginianae). The research stage begins with conducting several literature studies regarding related research, then formulating and validating the problem and starting to collect data from the Kaggle public dataset. Then in the experimental stage, the author divides the dataset into three parts with a percentage of 80% training data, 10% validation data and 10% testing data. The image classification method used is the Convolutional Neural Network (CNN) algorithm to create a model that can classify image data, the process of implementing the author uses the python programming language to build the model. The author conducted several experiments by making changes to several model parameters that affect the accuracy of the model. To evaluate the performance and accuracy of the model using a confusion matrix. The results of the study indicate that image size, data augmentation and the number of epochs greatly affect the accuracy of the model, from the test results the CNN model with the best accuracy is the model with the image size parameter 256x256, horizontal flip, vertical flip and random rotation data augmentation and the number of the 60th epoch has the highest accuracy rate of 99.66%. The results of this study are expected to be implemented in an application that can be used directly by farmers in detecting pests on apple plants quickly and accurately.
Penerapan Metode Dempster Shafer Pada Sistem Pakar Diagnosa Penyakit Rabies
Authors: Sirait Juan Veron Christian L , Siregar Iqbal Kamil , Maulana Cecep
Published: January 2023

Rabies is a disease caused by the bite of animals such as dogs, cats and bats, if not treated quickly it can cause death. Patients can make a diagnosis for easy treatment of the disease. The number of patients who died because of the bites of animals that transmit Rabies. Animal owners still do not understand the consequences of the bites of the animals they maintain. Advances in expert systems can overcome this problem, namely by designing a web-based computer system that is integrated with databases and programming languages such as PHP-MySQL so that can help people with Rabies to diagnose the symptoms and types of the disease. The purpose of this research is to build an expert system to diagnose web-based Rabies. The application of the expert system in making this decision uses the Dempher Shaper method by generating true and false values on the new and old knowledge bases and comparing them with the weight values in each frame so that the percentage of the disease type is obtained. The result of the system implementation is that the system provides questions in the form of symptoms that must be answered by the patient based on the symptoms experienced by the patient and the results of the process the system will provide information on the type of Rabies Rabies (Prodromal Stage) = with a confidence value of 80.4% and can also obtain a solution.
Sistem Pakar Diagnosa Penyakit Disebabkan Rokok dengan Menggunakan Metode Forward Chaining
Authors: Prasetio Kelvin Dino , Sireegar Iqbal Kamil , Suparmadi Suparmadi
Published: January 2023

The high cost and takes a long time to consult with a lung specialist at the hospital and the diseases caused by smoking are classified as complaints that are dangerous for the continuation of the disease. So we need an expert system to adopt human knowledge to computers, so that computers can provide solutions like doctors can. This research uses qualitative research methods and is included in descriptive research. The method used in this study is the forward chaining method and the search method used is forward data tracing to find conclusions. Data collection techniques through interviews and literature study. This research uses PHP programming language with MySQL database. Based on the results of the comparison between literature studies and interviews, obtained 7 diseases caused by smoking along with their causes and solutions. With this research process, an expert knowledge system application will be produced to be able to diagnose for the treatment of the disease.
Sistem Penentuan Paket Penjualan dengan Algoritma FP-Growth Serta Metode Up dan Cross Selling
Authors: Febriantho Febriantho , Samidi Samidi , Mikael Gregorius , Saputra Endang
Published: January 2023

The Car Spare Part Shop is one of the Car Spare Parts Shops in Tangerang Regency. Based on interviews conducted with shop owners at the Car Spare Parts Store, it was stated that there was a decrease in sales income every month, so there was limited capital in purchasing car spare parts products which resulted in difficulties in choosing which car spare parts products to order. The purpose of this study is to create a system to process and utilize sales transaction data using the FP-Growth algorithm as well as up selling and cross selling methods which will later be used to sell car spare parts that are purchased simultaneously in a sales package determination system. The sales transaction data used is 6,674 transaction data for 1 year of operation of the Car Spare Part Shop (July 2021 - June 2022) with 30,956 records in Microsoft Excel format. The prototype system uses the Python framework flask and mysql database. Validation test results ensure that the software that has been made is in accordance with the expected functional requirements specifications. The results of the system quality test with ISO 9126 can be concluded in the criteria of Very Good with a value of 98.59%. With the results of the Functionality aspect of 99.25%, the results of the Reliability aspect of 98.13%, the results of the Usability aspect of 98.33% and the results of the Efficiency aspect of 98.66%. The results of system security testing with Acunetix and LOIC software have been carried out and the system is still stable and the system is declared safe when used.
Penerapan Metode SMARTER Pada Penentuan Media Literasi Pembelajaran Anak Berkebutuhan Khusus
Authors: Majid Paramadina Mulya , Mansyur St Hajrah , L Harlinda
Published: January 2023

Children with Special Needs (ABK) are part of society that must be empowered, both from their physical and mental limitations.  In learning activities, especially for abk, they need learning media tools. There are 4 types of abk, namely Deaf, Visually Impaired, Deaf and Deaf. There are many learning media that can be used to increase the potential of abk students at SLB, but the school does not know the learning literacy media that suits the needs of students. This study aims to provide recommendations for learning media for website-based ABK students by considering three aspects of the criteria, namely academic assessment, non-academic assessment, and developmental assessment. The method used in decision making is the Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER). Weighting in the SMARTER method uses the Rank Order Centroid (ROC) formula. The results of determining abk learning literacy media using the SMARTER method from 52 ABK students obtained media recommendations that can be given by students based on the severity level determined based on the final grade range. Meanwhile, based on the results of the questionnaire assessment to 14 respondents consisting of 1 principal and 13 teachers, it showed that the results of testing the system with the blackbox testing method obtained data for interface aspects as much as 88%, application performance 91%, database 90%, missing / damaged functions 46% and initialization 94%. Thus, the overall average application produced an index of 82% which is included in the good criteria.
Penerapan Metode K-Medoids Clustering Untuk Mengelompokkan Ketahanan Pangan
Authors: Dharshinni N P , Fandi Ciok
Published: January 2023

Food is a basic need that must be fulfilled and easily accessible to the entire community. After the end of the pandemic period, it still caused several sectors to decline, including the agricultural sector, which resulted in crop yields also declining. The problem faced by several regions in Indonesia, one of which is the North Sumatra region, is that the availability of food products has decreased and increased unstably due to the lack of information about the grouping food security every year. This results in the food needs of the people in each region being unfulfilled. The purpose of this study is to group areas with the number of increases and decreases in food crop yields in North Sumatra using the K-Medoids algorithm. The K-Medoids algorithm includes a deflection algorithm that is quite efficient in carrying out the shaking of small datasets and the search for the most representative points and can overcome outliers. So that it can be used in the floundering of the influence of productivity and the level of food security. The results showed that the application of the K-Medoids algorithm resulted in a DBI (Davies Bouldin Index) value of 0.062 and a Silhouette Coefficient value of 0.8980, with the number of clusters as many as 3 clusters where Cluster_0 dominated by corn food crops experienced an increase in production by 5% and peanuts by 5%, Cluster _1 was dominated by a decrease in the number of soybean production yields by 38%, and Cluster_2 dominated by a decrease in green bean yield by 33%.
Analisis Sentimen Terhadap Bantuan Subsidi Upah (BSU) pada Kenaikan Harga Bahan Bakar Minyak (BBM)
Authors: Kurniasih Ulfa , Suseno Akrim Teguh
Published: January 2023

Fuel Oil (BBM) is a very important commodity for the people of Indonesia. The increase in fuel prices will have an impact on economic instability in Indonesia. Therefore, the government makes a policy by providing Wage Subsidy Assistance (BSU) to the community to ward off the impact of rising fuel prices. However, there were various responses from the public regarding the provision of BSU on the increase in fuel prices, especially on Twitter social media, some were supportive but some did not agree. This study aims to analyze the sentiments of the Indonesian people on government policies related to the provision of BSU to the increase in fuel prices. The data used are 795 tweets on each keyword BBM and BSU. The data is divided into 2, training data of 263 and 532 for testing data. The method used is classification with Naïve Bayes algorithm. The results of the analysis show that the BBM keyword positive sentiment is 28.2%, and negative sentiment is 71.8%. For BSU keywords, positive sentiment is 65.2% and negative sentiment is 34.8%. At the level of accuracy with this method, the result is 82.64% and the precision is 92.89%. Therefore, it can be concluded that the results of public sentiment towards the Wage Subsidy Assistance (BSU) received a positive response, while the increase in the price of fuel oil (BBM) received a negative response.
Penerapan Algoritma C5.0 Data Mining Untuk Mengetahui Pola Kepuasan Mahasiswa Terhadap Pelayanan Akademik
Authors: Triayudi Agung
Published: January 2023

Students are one of the important aspects in improving the quality of higher education. One of the services provided to students is academic services. Knowing the satisfaction of academic services to students for tertiary institutions is quite important. The process carried out to determine student satisfaction has several obstacles, such as the use of a special process to determine student satisfaction. Knowing the pattern of student satisfaction with academic services must be known. To find out the pattern of student satisfaction, it can be done by processing data based on the questionnaire data that has been done previously. Data mining is a process of processing data stored in data warehouses. Data mining performs large data processing with the aim of obtaining valuable information stored in the data set. The C5.0 algorithm is one of the algorithms in data mining that can help solve problems in data processing. The C5.0 algorithm gets results based on the decision tree, the results from the decision tree will later become a new rule or role. The results obtained from the research process are a rule or pattern that can be used to determine the attributes or services that cause dissatisfaction with academic services to students.
Semiotika Berita Kerusuhan Tolikara Di Media Online
Authors: Sunaryanto Sunaryanto , Fachrul Ade Fadli
Published: January 2023

Abstrak Kompas.com, Okezone.com dan Republika.co.id membuat pemberitaan kerusuhan Tolikara dengan menggunakan simbol-simbol. Faktanya, simbol-simbol tersebut memiliki makna poilitik, ekonomi, ideologi dan agama. Simbol-simbol tersebut merupakan frame yang dapat memunculkan polemik disintegrasi bangsa Indonesia. Penelitian ini bermaksud memaknai diskursus tersebut menggunakan pendekatan semiotika. Teori semoitika yang digunakan adalah dari Gill Branston dan Roy Stafford. Dokumen berita yang menjadi alat analisis adalah dari media Kompas.com, Okezone.com, dan Republika.co.id. Kesimpulan penelitian adalah Kompas.com, Okezone.com dan Republika.co.id membuat berita dengan cara masing-masing. Tiga media ini cenderung mengangkat simbol-simbol kegamaan meskipun dilakukan dengan hati-hati. Namun tiga media cenderung membela kepentingan masing-masing dan tidak pernah netral.
Kreatif Pesan Kampanye Sosial #NikahkanMaskerVaksin Sebagai Upaya Pengendalian Pandemi Covid 19
Authors: Susanti Khikmah , Hidayati Atiek Nur
Published: January 2023

AbstrakPenelitian ini bertujuan untuk menganalisis pesan kampanye sosial #NikahkanMaskerVaksin yang dilakukan oleh Gerakan Pakai Masker. Gerakan Pakai Masker adalah Komunitas Sosial yang independen yang memiliki perhatian terhadap kesehatan dan ekonomi masyarakat selama Pandemi Covid 19. Kampanye #nikahkanmaskervaksin dilaksanakan di berbagai media massa dan pesan kampanye disesuaikan dengan media-media tersebut. Dalam artikel ini fokus pada pesan kampanye yang disebarkan melalui media sosial Instagram. Pesan Kampanye akan dianalisis berdasarkan spesifikasi kualitas pesan kampanye Charles. K. Atkins dan Ronald E. Rice. Hasilnya pesan kampanye #NikahkanMaskerVaksin memenuhi kredibilitas sumber pesan, gaya dan ide pesan, materi pesan, penafsiran pesan dan motivasi pesan. Dengan berjalannya kampanye sosial #NikahkanMaskerVaksin maka masyarakat akan lebih sadar akan pentingnya penggunaan masker dan melakukan vaksinasi.Kata Kunci: Kreatif Pesan, Kampanye Sosial, #NikahkanMaskerVaksin, Pandemi Covid 19
Pengaruh Disiplin dan Pengawasan Kerja Terhadap Kinerja Karyawan PT Bank DKI Cabang Gambir-Jakarta Pusat
Authors: Fakhirah Jihan , Ariwibowo Prasetio , Anco Anco
Published: January 2023

Tujuan penelitian adalah untuk menganalisis ada tidaknya pengaruh disiplin dan pengawasan kerja terhadap kinerja karyawan PT Bank DKI Cabang Gambir - Jakarta Pusat. Metode penelitian yang digunakan adalah  kuantitatif. Populasi dari penelitian ini adalah seluruh karyawan PT Bank DKI Cabang Gambir-Jakarta Pusat yang berjumlah 80 orang, sedangkan sampel dalam penelitian ini adalah 40 karyawan. Variabel penelitian ini terdiri dari variabel disiplin (X1) dan pengawasan kerja (X2) serta variabel terkait kinerja karyawan (Y). Metode pengumpulan data yang digunakan adalah kuesioner menggunakan google form. Metode analisis adalah regresi linear berganda dengan software SPSS 25. Hasil penelitian ini menunjukkan secara simultan variabel disiplin dan pengawasan berpengaruh secara signifikan terhadap kinerja karyawan PT Bank DKI Cabang Gambir-Jakarta Pusat dengan nilai sig sebesar 0,000 < 0,05 sehingga dapat disimpulkan bahwa model regresi linier yang diestimasi layak digunakan. Berdasarkan uji parsial diketahui bahwa disiplin berpengaruh positif dan signifikan terhadap kinerja karyawan PT Bank DKI Cabang Gambir-Jakarta Pusat dengan nilai sig (0,004) < 0,05 dan nilai t hitung (3,057) > t tabel (2,024) sedangkan pengawasan berpengaruh positif dan signifikan terhadap kinerja karyawan PT Bank DKI Cabang Gambir-Jakarta Pusat dengan nilai sig (0,001) < 0,05 dan nilai t hitung (3,458) > t tabel (2,024) dengan koefisien regresi sebesar 0,385.

 

 
Investigation of Musculoskeletal System Disorders of Healthcare Personnel in Ankara Province
Authors: SOLMAZ İlker , ÖRSÇELİK Aydan , BUYUKLUOGLU Gökhan
Published: January 2023

Background: Musculoskeletal system disorders are the most important and frequent cause of work-related health issues. Chronic pain due to musculoskeletal disorders can give rise to disability, anxiety, depression, and sleep disturbances resulting in poor quality of life. These problems are frequently encountered in many business areas, especially in the field of healthcare. This study aimed to investigate the location and severity of musculoskeletal disorders of healthcare personnel working in the province of Ankara and how these problems relate to their lifestyle.Methods: An online questionnaire was applied to healthcare personnel working in the province of Ankara between November and December 2020. The questionnaire consisted of 14 questions about general information and 11 additional SF-36 questions.Results: A total of 285 participants were evaluated. Physical functioning (PF) and role physical (RP) parameters of those who had been in the same position for less than eight years were significantly higher compared to those who had been in the same position for more than eight years. There was a statistically significant increase in PF and social function parameters with the increase in educational status. Male gender PF, RP, role emotional, and pain parameters were significantly higher than female gender.Conclusion: This study revealed that the age, gender, education level, number of personnel in the institution where they work, total working time, and working in the same position for many years affect the quality of life in healthcare personnel. In addition, the location and frequency of musculoskeletal pain of healthcare personnel were revealed.
ESTIMATION OF DEFORMATION REGION PARAMETERS WHILE SYMMETRYCAL AND ASYMMETRICAL COLD ROLLING OF STRIP, USING COMPUTER SIMULATION
Authors: KOZHEVNIKOV A. V. , SKRIPALENKO  M. M. , KOZHEVNIKOVA I. A. , SKRIPALENKO  M. N. , SIDOROV  A. A. , SEMENOV  A. A. , ROMANTSEV  B. A. , YUSUPOV V. S.
Published: January 2023

Computer simulation of longitudinal rolling processes with different combinations of diameters of top and bottom working rolls has been carried out. Working roll diameters had combinations: 600-600 mm, 590-600 mm, 570-600 mm, 300-600 mm. The rolling for each combination of working rolls included three passes. Initial thickness of a strip was 2 mm, the roll gap for the first stand was 1.4 mm, for the second stand it was 0.98 mm, for the third stand it was 0.66 mm. Techniques for calculation of length of contact arc, length of actual deformation region, and length of external zones are proposed.
دراسة واقع ادارة التطوير لتحسين الاداء الوظيفي في اقسام النشاط الرياضي لمديريات التربية في بغداد
Authors: علي حيدر
Published: January 2023

استهدفت الدراسة مجتمع المشرفين الفنيين والإداريين في قسم النشاط الرياضي في مديريات تربية بغداد , اذ استخدم الباحث المنهج الوصفي بالأسلوب التحليلي  وتم اختيار العينة بصورة عشوائية والتي كان قوامها (120) مشرفا فنياً وادارياً في هذا القسم , وقد قسمات العينة الى قسمين العينة الاستطلاعية والعينة الرئيسة , الذين تم تطبيق الاستبانة المستخدمة للدراسة عليهم , ومن خلال اجراءات البحث الميدانية وبعد اجابة عينة الدراسة على الاستبانة المذكورة انفاً تم التوصل الى النتائج والاستنتاجات التي من ضمنها التالي :

1- اتفق مجتمع الدراسة الحالي والمتمثل بالمشرفين الفنيين والاداريين في اقسام النشاط الرياضي لمديريات تربية بغداد على ان ادارات التطوير تقوم بالدور المخطط لها والذ يتم تحقيقه بالتعاون مع الاقسام الاخرى في المديرية .

2- ان ادارة التطوير له الاثر الواضح والكبير على اداء المشرفيين الفنيين والاداريين في اقسام النشاط الرياضي لمديريات التربية في بغداد  .

3- اظهرت النتائج ان هناك تحديات كبيرة تواجه ادارة التطوير في تنفيذ مخططاتها وأهدافها  وفي ضوء هذه النتائج فقد اوصى الباحث بالتالي :

1- يجب على ادارة التطوير توفير المواد العلمية والحالات المتعلقة بالتطوير الاداري تحت يد المشرفيين  الفنيين  والاداريين  للاطلاع عليها وزيادة معلوماتهم حولها .

2- لابد من  توعية الادارة العليا في المديريات بأهمية مشاركة كل المشرفيين الفنيين والاداريين  فيها عند الرقبة في القيام بالتغيير مما يساعد في كسب ثقتهم وتأييدهم لها
تأثير تمرينات مقترحة وفق بعض المدركات في تعلم مهارة الارسال القوسي الواطئ بالتنس للطالبات
Authors: علي حسون خالد
Published: January 2023

من خلال عمل الباحث كونه تدريسي في الجامعة ومدرس لمادة التنس الارضي وكذلك كونه مدرب ومختص بهذه اللعبة لاحظ على مدى سنوات طويلة الضعف الواضح لدى الطلاب بصورة عامة وللطالبات بصورة خاصة في مهارة الارسال بجميع انواعه خصوصا ان مهارة الارسال تحتاج الى مهارة وتكنيك وكذلك الى ممارسة وتكرارات عديده وهذا ما يتطلب عمل كبير من المدرب او التدريسي لاختيار الطرق المناسبة لتعليم الطلاب  كذلك تكون نوعية الارسال مهمه ايضا لان هنالك ارسالات تحتاج الى مهارة عالية يصعب على الطالب اداءها الا باستخدام وسائل عديدة ومتنوعه وهذا ما دعى الباحث الى اعداد تمرينات نوعيه تعتمد على مدركات مختلفة كالمسافة والتغير بالاتجاهات والضربات والارتفاع محاوله لتعلم واتقان هذه الضربات. ويعد هذ النوع من الارسالات (القوسي الواطئ) من النوع الذي يحتاج الى تعليم  وممارسة ويعتبر من الارسالات المؤثرة ويهدف البحث الى اعداد تمارين مقترحة لمعرفه مدى تأثيرها في تعلم هذا النوع من الارسال واستخدم الباحث المنهج التجريبي لملائمته طبيعة البحث.

ويهدف البحث إعداد تمرينات مقترحه وفق بعض المدركات في تعلم مهارة الارسال القوسي الواطئ و التعرف على تأثير التمرينات المقترحة وفق بعض المدركات في تعلم مهارة الارسال القوسي الواطئ. اما فرض البحث فهو للتمرينات المقترحة وفق بعض المدركات  تأثير ايجابي في تعلم مهارة الارسال القوسي الواطئ للطالبات.

اما مجتمع البحث وعينته فقد تم تحديد مجتمع البحث بطلاب المرحلة الثالثة في كلية التربية البدنية وعلوم الرياضة جامعة واسط والبالغ عددهم 42 طالب للعام الدراسي 2021 /2022 اما بالنسبة  لعينة البحث فقد تم اختيار الطالبات لشعبة (آ) والبالغ عددهن (25) طالبة تم اختيارهم بالطريقة العمدية  اما بالنسبة لاهم التوصيات فيوصي الباحث بضرورة استخدام التمرينات المساعدة في العملية التعليمية كونها ذات فائدة كبيرة في تعلم المهارات الاساسية بالتنس الارضي بصورة عامة .
الثقة بالنفس ودافعية الانجاز الرياضي وعلاقتهما بمستوى أداء مهارة دقة الارسال في الكرة الطائرة
Authors: محمد منتظر
Published: January 2023

شهدت الحركة الرياضية تطوراً سريعاً وفعالاً في السنوات الماضية، وقد حدث هذا التطور كنتيجة فعلية لكثير من الدراسات والبحوث التي اجريت في الالعاب الفردية والفرقية المختلفة، ومنها لعبة كرة الطائرة التي حظيت بتطور مستويات انجاز اللاعبين بدنياً ومهارياً ونفسياً لذا جاءت أهمية البحث في معرفة مستوى الثقة بالنفس كاتجاه عام يمثل كفاية اللاعبين النفسية والقدرة على تحقيق انماط محددة من السلوك وعلاقة هذه المتغيرات النفسية بإنجاز والدافعية نحو الانجاز كمحرك لسلوك اللاعبين، وايجاد أفضل السبل لتفسير علاقاتها الارتباطية بما يضمن تطوير الإنجازات والقضاء على تذبذب مستويات اللاعبين في البطولات ان سبب هذا التذبذب في المستويات عدم الدقة في الاداء الذي ينعكس على الثقة بالنفس ودافعيتهم نحو ادقة مهارة الارسال فعندما يتمكن المدرب من التعرف على المهارات والسمات النفسية المهمة في دقة الاداء بواسطة الاختبارات المقننة والمعتمدة وقياس الحالة النفسية للاعبين ومحركات سلوكه الرياضي قي تحقيق النتائج ويتعرف على علاقة ذلك بدقة اداء المهارات الأساسية كمهارة الارسال وقياس الثقة بالنفس الرياضية وكيفية تعزيزها ومن هذا المنطلق, تمثل لذا فقد اختار الباحث عينة بحثهم بالطريقة العمدية والتي تمثل كل مجتمع البحث المشارك في بطولة اندية الدوري الممتاز للناشئين بالكرة الطائرة للعام 2021-2022 اذ يمثلون (45) لاعبا للكرة الطائرة من خلال عرض النتائج وتحليلها ومناقشتها استنتج الباحث ما يأتي دافعية الانجاز والثقة بالنفس مهمه في شخصية لاعبي الكرة الطائرة ومؤثرة في نتائج دقة مهارة الارسال ان اختلاف درجة اللاعبين في اختبار قياس الدافعية واختبار الثقة بالنفس الرياضية يؤثر في مستوى مهارة دقة الارسال تبعاً للخصائص الشخصية للاعب .
الكفاءة الذاتية وعلاقتها بالرضا الحركي وفاعلية الذات لدى لاعبي كرة القدم
Authors: محمود حيدر
Published: January 2023

هدفت الدراسة الى التعرف على العلاقة الارتباطية بين توقعات الكفاءة الذاتية والرضا الحركي وفاعلية الذات لدى لاعبي كرة القدم وقد استخدم الباحث المنهج الوصفي المسحي, وتكونت عينة الدراسة من (40) لاعبا من اندية محافظة واسط الخمسة للدرجة الثانية, وتم توزيع مقياس لتوقعات الكفاءة الذاتية ومقياس الرضا الحركي ومقياس فاعلية الذات على العينة, وقد توصلت الدراسة الى وجود علاقة ارتباط معنوية بين توقعات الكفاءة الذاتية والرضا الحركي وفاعلية الذات للاعبي كرة القدم للدرجة الثانية في محافظة واسط, وقد خرجت الدراسة بجملة من التوصيات التي كان منها , ضرورة الاهتمام بتعزيز توقعات الكفاءة الذاتية والرضا الحركي وفاعلية الذات وضرورة اجراء اختبارات متعلقة بالجوانب النفسية لزيادة الثقة بالنفس للاعب وضرورة اعتماد مدربي اندية الدرجة الثانية لمحافظة واسط على الاعداد النفسي للاعبين بوضعهم المناهج التدريبية لفرقهم.
علاقة الامن النفسي بإنجاز رفعة الضغط برياضة رفع الاثقال البارالمبية لفئة الشباب ذوي الاعاقة البدنية
Authors: علي سلمان حيدر
Published: January 2023

ان التطور الحاصل في جميع الميادين العلمية ومن هذه الميادين العلمية التي لها تأثير في حياة الانسان هي, أصبح علم النفس في مقدمة العلوم التي توظف التكنولوجيا في تفسير الظواهر ودراسة الأحداث التي يعيشها الإنسان لذا أصبح الافراد الرياضيين  بحاجة ماسة إلى علم النفس بصورة مباشرة أو غير مباشرة, ومن هنا امتد ميدان علم النفس واتسع نشاطه إذ أصبح يشمل مظاهر الحياة العصرية بأكملها تقريباً. وبهذا فقد تعددت ميادين علم النفس النظرية منها والتطبيقية فلا يكاد يخلو أي علم من العلوم من دور فاعل لعلم النفس فيه, ولذا كان لعلم النفس دوراً بالغ الأهمية في العلوم الرياضية التعليمية والتدريبية, إذ دخلت دراسات علم النفس الرياضي في جميع مفردات الوحدة التعليمية والتدريبية الرياضية سواء في القاعات الدراسية أو الملاعب وان هذا المتغير( الأمن النفسي) يعد من المفاهيم النفسية المهمة في الالعاب الرياضية جميعها، اذ اهتم العديد من الباحثين بهما لدوره في التقليل من التأثيرات النفسية السلبية التي تظهر في ظروف المنافسة والتدريب في الالعاب الفردية اذ يؤثر بشكل فعـال في مسـتوى اداء اللاعبين وبما ان الامن النفسي من المتغيرات النفسية التي يختص بها اللاعب في علاقته التفاعلية مع البيئة الرياضية، فاللاعب الذي يكون لديه  أمن نفسي فانه يتمتع بصحة نفسية جيدة والذي يعمل على تهيئة اللاعب نفسياً بما يساعده للوصول الى المستوى الأفضل في أثناء المنافسة, ان رياضة رفع الاثقال لذوي الاعاقة البدنية من الرياضات التنافسية والتي لها خصوصية من حيث الجانب التدريبي والجانب النفسي والرباع ذوي الاعاقة يعاني من ضغوط تنافسية نفسية وهي العامل الذي يجعله يتغلب على ما في داخله من اعاقة وتصميم وارادة في التغلب عن الثقل المرفوع ان وهو يعد الأمن النفسي من أبرز الصفات الايجابية لشخصية الرباع من ذوي الاعاقة ، اذ يمكنه من التعامل مع الضغوط المختلفة التدريب للحفاظ على توازنه النفسي ونظراً لما تزخر به حياة ذوي الاعاقة من احتياجات يومية وتدريبية  ولاسيما في العصر الحديث من ضغوط شتى تتفاوت في انواعها وشدتها على وفق المواقف التي يتعرض لها وادراكه لها، لذا يتفاوت ما يتم التعرف عليه وله اهمية البحث اما مشكلة البحث معرفة علاقة الامن النفسي بالإنجاز لدى الرباعين ذوي الاعاقة البدنية وهدف البحث الى التعرف على العلاقة بين الامن النفسي والانجاز لدى رباعين ذوي الاعاقة وفرض الباحث ان هناك فروق ذات دلالة احصائية في الامن النفسي والانجاز لرفعة الضغط عند الشباب الرباعين لذوي الاعاقة استخدم الباحث المنهج الوصفي وكانت عينة البحث 8 رباعين ذوي الاعاقة وعرض الباحث النتائج وتم تحليلها ومناقشتها واستنتج الباحث إن الامن  لها ارتباط مباشر على مهارة رفعة القوة لذوي الاعاقة برفع الاثقال يوصي الباحث ان يتم الاهتمام بالجانب النفسي للرباعين ذوي الاعاقة البدنية .
تطبيق استراتيجيات إدارة المواهب في اقسام التربية البدنية وعلوم الرياضة في الكليات العراقية الأهلية من وجهة نظر الهيئة التدريسية
Authors: عبدالجبار هبه
Published: January 2023

"هدف البحث هو التعرّف على واقع تطبيق استراتيجية إدارة المواهب بأبعادها الثلاثة : التقاط الموهبة ، المحافظة عليها ، ثم تنميتها . مجتمع الدراسة أعضاء هيئة التدريس في كليات واقسام التربية البدنية وعلوم الرياضة" أو "التربية البدنية  في الجامعات والكليات" الجامعية العراقية الأهلية" ، "سبب وميزة هذا البحث: هو الأول - على حدْ "عُلم الباحثة" – "الذ يسلط الضوء" على واقع" إدارة المواهب في قطاع التعليم الجامعي الأهلي في العراق ، تم انتهاج الأسلوب الوصفي لعرض ومناقشة ادبيات موضوع البحث ، "ثم استخدمت الباحثة أسلوب الاستبانة لاستجلاب البيانات الأولية التي تمثلت بإجابات اعضاء هيئة التدريس الذين تم انتخابهم بطريقة عشوائية عند تحديد عيّنة البحث ، بعد فحص النتائج وتحليلها بالأدوات الإحصائية برنامج ((spss ، توصلت الباحثة الى : كليات التربية البدنية وعلوم الرياضة في القطاع الأهلي لا تمتلك استراتيجية واضحة لإدارة المواهب ، عدا بعض الممارسات الإيجابية التي يقوم بها بعض أعضاء هيئة التدريس باتجاه رعاية وتشجيع المواهب ، خُتِمَ البحث ببعض التوصيات التي قدّرت الباحثة أهميتها".
علاقة تركيز الانتباه بدقة اداء مهارة حائط الصد بالكرة الطائرة للّاعبين الناشئين
Authors: عبدالرحمن اسعد
Published: January 2023

هدفت الدراسة إلى التعرف على مستوى العلاقة بين تركيز الانتباه ودقة اداء مهارة حائط الصد بالكرة الطائرة للاعبين الناشئين, وافترض الباحث هناك علاقة ارتباط معنوي بين تركيز الانتباه ودقة اداء مهارة حائط الصد بالكرة الطائرة للاعبين الناشئين, واستعمل الباحث المنهج الوصفي بأسلوب المسح لملائمته وطبيعة البحث, وتم اختبار العينة بالطريقة العمدية والتي تمثلت بـــ (لاعبي الكرة الطائرة الناشئين لنادي الحي الرياضي) وهم يمثلون نسبة (33.13) من مجتمع الاصل البالغ عدده (75) لاعباً, وبعد اختيار الاختبارات المناسبة والملائمة الخاصة بهذه الدراسة تم اجراء التجربة الاستطلاعية وبعدها الدراسة الرئيسة وباستعمال الوسائل الاحصائية المناسبة تم استخراج النتائج وعرضها في جداول وتحليلها ومناقشتها طبقاً لأهداف البحث وفروضه, واستنتج الباحث وجود علاقة ارتباط معنوية بين تركيز الانتباه ودقة اداء مهارة حائط الصد بالكرة الطائرة لعينة البحث.