bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Jaringan VANET Antar Kendaraan Pada Kondisi LOS dan NLOS Menggunakan Metode Single Relay
Authors: Munandar Munandar , Alfina Alfina
Published: April 2023

The development of transportation technology continues to progress with various models and forms of vehicles that have been produced both on a small scale and on a large scale. The large use of transportation equipment can cause congestion in operating it, one way to reduce this congestion is to use a vehicle-to-vehicle communication system in conditions where there are no obstacles and there are obstacles based on the parameters used through Bit Error Rate and Throuhgput. Vehicular ad hoc network (VANET) is a discipline branch of mobile ad hoc network (MANET) which has the advantage of being able to adapt points to vehicles, markings, signs and buildings. Information exchange on VANET technology communication consists of vehicle to vehicle (V2V) and vehicle to infrastructure (V2I). This study discusses the comparison of VANET networks when there are no obstacles (LOS) and obstacles (NLOS) conditions using Quarature Amplitude Modulation 16 bits per symbol (16-QAM). The use of the single relay method in this study consists of a simulation stage with the MATLAB application and an analysis of the simulation results obtained after carrying out the simulation. The results of this study are a comparison method between vehicles in the single relay network model where the value of the Bit Error Rate without obstacles is BER to distance ratio 〖4.54 x 10〗^(-5), BER to SNR 〖3.00 x 10〗^(-3), BER to speed 〖5.39 x 10〗^(-5). Whereas for Throughput when there are no obstacles, the value of Throughput to distance ratio is 23.750 Mbps, Throughput to SNR is 23.927 Mbps. Throughput to speed of 23.849 Mbps.. Then for comparison when there are obstacles, the value for Bit Error Rate is BER to distance ratio 〖7.17 x 10〗^(-5), BER to SNR 〖3.28 x 10〗^(-3), BER to speed 〖9.56 x 10〗^(-5) and the Throughput value when there are obstacles is the Throughput to distance ratio of 23.486 Mbps. Throughput of SNR 23.920 Mbps, Throughput of speed 23.633 Mbps
Penerapan Metode Forward Chaining pada Sistem Pakar untuk Identifikasi Kerusakan Mesin Ekskavator
Authors: Hermawanto Dary Andrean , Dyah Anggita Sharazita
Published: April 2023

The application of information systems is handy for business needs as well as the needs of human activity. One form of an information system is an expert system, which is used to transfer human thinking abilities to computers, capable of solving problems like how experts think. The problem that often occurs with mechanics or excavator operators is the limited number of experts to provide consultations to mechanics who need solutions to damage that occurs to machine parts. This study uses the forward chaining method to describe the identification, diagnosis, and explanations of excavator engine damage. The knowledge representation used is IF-THEN rules and combining rules that can produce a conclusion. Forward Chaining has a fact-based search technique which is then matched to find directions. The forward chaining method in several studies is able to produce good accuracy values. In making this system, it is hoped that experts in the field of heavy equipment engines and several manuals about excavator machines will get accurate data about machine damage information. Applying the forward chaining method to this expert system can produce an accuracy rate of 90% through 10 tests
Penerapan Data Mining Untuk Prediksi Perkiraan Hujan dengan Menggunakan Algoritma K-Nearest Neighbor
Authors: Nursobah Nursobah , Lailiyah Siti , Harpad Bartolomius , Fahmi Muhammad
Published: April 2023

Rain is a condition where water droplets fall from clouds to the earth. In life, the presence of rain is highly anticipated, rain can help people who have a profession as farmers. Rain that occurs on a large scale will really provide obstacles for the community, in addition to hampering activities or activities especially those carried out on outdoor rain can also cause disaster for the community in the form of flooding. Estimating rain for the community is very important, knowing whether it will rain or not can make it easier for the community to anticipate the possibilities that may occur due to rain. However, in the process of delivering forecasts, there is often an uneven distribution of information and delays in conveying information to the public regarding whether or not rain will occur. The community should be able to independently predict whether or not rain will occur. Data processing should be done properly and correctly. Data mining is a way that can be done to assist in data processing. In this study, the settlement process will be carried out using the K-Nearest Neighbor (K-NN) algorithm. The results obtained show that the data testing decision is NO. In other words, data mining and the K-Nearest Neighbor algorithm can help the problem solving process
Klasifikasi American Sign Language Menggunakan Convolutional Neural Network
Authors: Israldi Tino , Haerani Elin , Sanjaya Suwanto , Syafria Fadhilah
Published: April 2023

Communicating is a necessity for all groups or individual because each individual should communicate with their surroundings. Communicating can also make us get information so that it can be used as a reference to be able to adapt. Verbal language used by speaking out loud is a way of communicating with individuals, but not all individuals can communicate with it, especially there are some individuals who have hearing limitations. Because of these limitations, another program that can be used is through sign language. Language requirements are languages that are usually used by people with disabilities in terms of hearing or speaking and sign language also has a fairly well-known sign language standard, namely the American Sign Language (ASL) standard. Unlike languages in the world, sign language is also often of little interest to most people because people's interest in sign language is still lacking so that most people are unable to understand their language. Sign language has many types, one of which is sign language by using hands to form letters and numbers. In overcoming these problems, the solution is to create a system that can be used to recognize sign language, the system developed is a system that used machine learning technology. This study will propose an ASL classification approach through data preprocessing and a convolutional neural network model. The proposed model can classify ASL hand posture images to be translated into the alphabet. The result of this study is an model with accuracy of 99.8% obtained from the process of merging preprocessing data and the convolutional neural network model.
Pengembangan Model Sistem Informasi Geografis Angkot Online Berbasis SCRUM: Ujicoba Kelayakan
Authors: Rifa’i Mochamad Fikri , Ghazali Dexsa Muliana , Riyan Ade Bani
Published: April 2023

Angkot drivers can compete with online transportation in getting passengers via smartphones. This application is based on a geographic information system, which is a system that can show the location of a person or place online, using this system to be integrated with public transportation makes it possible to add or pick up passengers more efficiently not only by waiting in one place but can pick up passengers according to the location of the passenger and the transportation route. To overcome the above problems, making applications with a technology theme is one of the right solutions for innovative methods that will be applied to public transportation drivers so they can get passengers efficiently. The purpose of this study is to determine the user's response to the application that has been developed. The research method used is research and development with a 4D development model with “define, design, development, and dissemination stages”. Data collection was carried out by distributing questionnaires to several respondents, while the trial stages carried out included alpha version trials, beta versions trials, Version Release, and Implementation. The results of the study show that the indicators of language, appearance, and accessibility of applications that have been developed are classified as "very feasible". The developed online angkot application is expected to be a solution in dealing with technological developments that can be applied to public transportation
Sistem Pendukung Keputusan Dalam Rekomendasi Kelayakan nasabah Penerima Kredit Menerapkan Metode MOORA dan MOOSRA
Authors: Kusmanto Kusmanto , Nasution Mhd Bobbi Kurniawan , Suryadi Sudi , Karim Abdul
Published: April 2023

In selecting credit recipients, it is necessary to have a recipient selection system that can overcome the problem of bad credit that often occurs (loans that are not repaid by the debtor). Based on this problem, a decision support system is needed that helps identify the wrong recipient. The method used in this study is the Moora method and the Moosra method, namely the method for determining priorities. A decision support system is a computer-based system consisting of interacting components: a language system component, a knowledge system component, and a problem-handling system component, and uses data and decision-making models to create semi-structured problems. It solves structured problems and semi-structured problems. and assist in decision making. Structured and unstructured problems, this system helps you get information about your customers, the results are more accurate and on target
Penerapan Algoritma Hash Based dalam Penemuan Aturan Asosiasi Penjualan Tanaman Hias
Authors: Triayudi Agung , Sumiati Sumiati
Published: April 2023

Technology is very influential in the world of increasingly fierce business competition so that business people must find strategies to increase sales results in the midst of business competition. Ornamental plant sellers must be smart in managing stock and making strategies in selling ornamental plants. Transaction data can be processed into information needed to increase sales results, one of which can be used as an analysis of the rules of the buyer transaction association in purchasing ornamental plants so that it can be processed and can support decision making on ornamental plant supplies and can assist officers in recommending other ornamental plants to buyers in a cross selling strategy. Knowing the ornamental plants that are often purchased will be a top priority that must be provided so that there is no stock shortage. In this case, data mining is needed to manage sales transaction data for ornamental plants at the Sindy Flower Shop using a Hash Based algorithm. Hash Based Algorithm that can optimally determine the frequent itemset of candidate itemset. In its application in determining the rules for selling associations of ornamental plants by applying a Hash Based algorithm to obtain frequent itemsets for the 3-itemset Dahlia, Empasen and Melati which are a combination of 3-itemset ornamental plants which are prioritized in sales with a support value of 25% and confidence of 60%
Implementasi Metode Forward Chaining dan Certainty Factor Pada Sistem Pakar Diagnosis Penyakit Sinusitis
Authors: Nurerwan Mizani Achmad , Wulandari Irma Rofni , Astuti Yuli , Widayani Wiwi
Published: April 2023

Sinusitis is similar to symptoms of minor illnesses such as runny nose, cough, and headache. Mild symptoms cause people to ignore these symptoms often. Besides, limited costs and doctor's practice hours make consultations difficult. Signs of infection that are not treated quickly can cause complications, and the infection can spread to the eye sockets or the brain. One of the ways to diagnose sinusitis early is to use an expert system so that in this study implemented the Certainty Factor and forward chaning methods to create a system that can diagnose sinusitis according to the symptoms felt and provide information about the disease and how to treat sinusitis symptoms early. Forward chaining is used as an inference method, and the certainty factor is used to calculate the level of probability of disease based on the expert's belief value and the symptoms of sinusitis selected by the user. The data used is disease data consisting of four types of sinusitis and fifteen symptoms. Based on the results of black box testing, the system that has been built functions well as expected. Expert systems in diagnosing have an accuracy of 70%.
Penerapan Pemilihan Model Arsitektur Terbaik pada Neural Network pada Prediksi Jumlah Siswa SD di Kecamatan Siantar Barat
Authors: Ramadhani Cerah Fitri , Siregar Muhammad Noor Hasan , Rahadjeng Indra Riyana , Windarto Agus Perdana
Published: April 2023

The use of the artificial neural network (Backpropagation) method can be used in determining the best architectural model for predicting the number of elementary school students in the Siantar Barat District. The dataset used is a dataset on the number of Elementary School (SD) students in West Siantar District, Pematang Siantar City in 2017-2021 obtained from the Website of the Ministry of Education, Culture, Research and Technology of the Republic of Indonesia (https://dapo.kemdikbud.go.id /pd/3/076303). The dataset is then divided into 2 parts, namely the training and testing dataset. In the training datasets, attribute X1 is a dataset for 2017, X2 is the dataset for 2018, X3 is a dataset for 2019, and attribute Y (target) is the dataset for 2020. For the test datasets, attribute X1 is the dataset for 2018, attribute X2 is a dataset for 2019, attribute X3 is a dataset for 2020 and attribute Y (target) is a dataset for 2021. The results obtained from the analysis of the Backpropagation and virtualization methods using the MatLab application can be generated with a valid dataset and produce an accuracy rate of 87.5% in architectural models 3-9-1. So that the Backpropagation method can be used as a prediction method that makes it very easy to find predictions.
Conversational Recommender System based on Functional Requirement using Knowledge Graph for Building Personal Computer
Authors: Aryanta Rafi Rizkya , Baizal Z. K. A
Published: April 2023

When a person wants to build a personal computer, this person needs to browse many kinds of computer components. Besides that, this person needs to consider the compatibility between hardware and an affordable price. This will be a problem for people who are still unfamiliar with the computer, due to their lack of understanding of how compatibility between computer components works and the time-consuming nature of market research. To deal with this problem, the recommender system will assist in finding and matching compatibility efficiently based on the functional requirements of the user. The recommender system will issue various products based on the preferences and interests of the user, but some recommendations still need to be checked for compatibility. With the help of developing a Conversational Recommender System by utilizing the Knowledge Graph, it will be easier to construct the relationship between component compatibility. We propose this research by using Knowledge Graph as alternative from ontology to build Conversational Recommender system in Building Personal Computer. This research will involve the user to prove whether the recommendations from this system meet the needs and accuracy of the recommendations requested. The main results of this study will issue a recommendation for the development of personal computers by considering compatibility using the Conversational Recommender System using the Knowledge Graph approach.
Perbandingan Algoritma K-Means dan Algoritma K-Medoids Pada Kasus Covid-19 di Indonesia
Authors: Puspitasari Novianti , Lempas Gidion , Hamdani Hamdani , Haviuddin Haviluddin , Septiarini Anindita
Published: April 2023

Analyzing Covid-19 data has been conducted in many types of research, but research on classifying each case from Covid-19 data in all provinces in Indonesia has yet to be available. This study uses two clustering algorithms, namely K-Means and K-Medoids, to classify positive cases recovered and died in the Covid-19 data into three clusters, namely low, medium and high. The research data is Covid-19 case data in all provinces in Indonesia from 2020 to 2021. In the clustering calculations, the three distance methods used in this study are the Chebyshev Distance, Manhattan Distance, and Euclidean Distance. Based on the Silhouette Coefficient test results for the three distance calculation methods, it was found that Manhattan Distance is the best distance calculation method for K-Means and K-Medoids. Furthermore, the results of testing the Sum Squared Error (SSE), Silhouette Coefficient (SC) and Davies Index Bouldin (DBI) methods for the resulting clusters show that the value generated by the K-Means algorithm is higher in the SC and DBI methods. This result is evidenced by the SC value of 0.838; 0.838; and 0.925 in positive cases, recovered and died. While the DBI value is 0.305 for positive cases, 0.295 for recovered cases and 1.569 for dead cases. Based on these values, it proves that K-Means is superior in grouping and placing clusters compared to K-Medoids.
Clickbait Classification Model on Online News with Semantic Similarity Calculation Between News Title and Content
Authors: Ahmadi Hero Akbar , Chowanda Andry
Published: April 2023

Clickbait is a sensational title that makes us click internet links to an article, image, or video. Online content providers use clickbait to gain user traffic, that leads to increasing income from the placed ads in their page. To attract more and more traffic, online content providers write sensational and hyperbolic titles, and even misleading and not telling the whole story. This can give us, the internet consumer, wrong perspective, and half-truth. And nowadays, clickbait titles are worse than ever. Modern clickbait titles are not hyperbolic nor ambiguous enough, and sometimes very hard to identify. This paper aims to classify clickbait titles, to help humans identify clickbait and stop sharing more online content that contains clickbait and misleading titles. This model classifies clickbait by calculating semantic similarity between the article title and the summary of the article content. The article content is summarized by T5 (Text-to-text Transfer Transformer) model. IndoBERT is then used to calculate semantic similarity score between generated summary and the article title. The article title, content, summary, and semantic similarity score are used for clickbait classification with various algorithms. The result shows that by adding article content alongside article title in the classification process improves F1-score by 7% when classified with IndoBERT. In another future research, this model can be integrated with another application such as twitter or telegram bot to send us warning every time a user consumes online content with clickbait title. Thus, it can prevent online communities from sharing misleading information caused by clickbait
Aspect-Level Sentiment Analysis on Social Media Using Gated Recurrent Unit (GRU)
Authors: Kamil Ghani , Setiawan Erwin Budi
Published: April 2023

Twitter is one of the popular social media for sharing opinions, one of which is about movie reviews. There are many opinions related to movie reviews on Twitter social media so the assessment of a movie can vary. Therefore, aspect-level sentiment analysis is needed to classify movie reviews to provide optimal results. This research was conducted by building a system using the Gated Recurrent Unit (GRU) method to perform sentiment analysis at the aspect level on movie reviews taken from Twitter. The aspects used in this research are plot, acting, and director. This research also conducted experiments by combining three techniques, which are feature extraction using TF-IDF, feature expansion with GloVe, and the application of SMOTE to improve model accuracy. The results show that each test scenario can improve the accuracy and F1-Score values of each aspect. The final value of each aspect is the accuracy value for the plot aspect is 70.40%(+7.62%) and F1-Score is 70.35%(+9.70%), the accuracy value is 93.75%(+6.28%) and F1-Score is 93.70%(+65.19%) for the acting aspect, and the accuracy value is 90.44%(+4.60%) and F1-Score is 90.17%(+122.80%) for the director aspect.
Undersampling dan K-Fold Random Forest Untuk Klasifikasi Kelas Tidak Seimbang
Authors: Qadrini Laila
Published: April 2023

Classification in Data Mining is a process of modelling that explains and differentiates data classes intending to estimate the class of an object whose class is unknown. Classification can be applied in various aspects so over time quite a lot of classification algorithms have been developed, but some problems are often encountered in classification, namely the problem of data imbalance. An imbalanced class is a condition where there are several data where the number of classes is not balanced or there is a significant difference in each number of classes. Most classification datasets do not have the same number of classes. However, the class imbalance is not a problem when the comparison between classes is not much different. Class imbalance can cause problems if left untreated because the resulting model predictions will tend to the majority group so that the contribution of the minority class to the model is small. One of the algorithms that are often used to handle unbalanced classes is the resampling algorithm. The purpose of this research is to apply the Resampling Undersampling Random Forest and Random Forest K-Fold Undersampling Algorithms to the Breast Cancer Diagnostic dataset from UCI Machine Learning. Undersampling was chosen because it produces better accuracy than oversampling. Recall accuracy for the K-Fold 10 Random Forest Algorithm is 83% and for Recall Undersampling Random Forest is 65%.
Sistem Pendukung Keputusan Pemilihan Tablet PC Menggunakan Metode WASPAS dan MOORA
Authors: Syam Syahriani , Waworuntu Alexander , Ayuningtyas Astika , Harun Rofiq , Nadjamuddin Lukman
Published: April 2023

Tablet Pc is a personal computer with a portable design that is equipped with a main input device, namely a touch screen and is designed for individual use. The use of the screen as an input intermediary can use a fingertip and a digital pen. Thus making the production of personal tablet pc increasingly improve its quality so as not to lose competitiveness. Decision Support System is a computer-based information system created to determine decisions so that they are more in solving problems that are structured and unstructured, so the resulting decisions are more appropriate. The system created is a system by utilizing the WASPAS and MOORA methods. A system that utilizes the WASPAS and MOORA methods so that it is suitable in determining the best type of Tablet PC. So the one that gets the title of the best Tablet PC is the A1 alternative with the name Samsung Galaxy Tab S8 Ultra with the value for the WASPAS method, which is 0.456, while the MOORA method is 0.439 as the best alternative
Penerapan Metode SAW Dalam Peringkat Hasil Pembelajaran Siswa SMK (STM) Berdasarkan Rekapitulasi Nilai
Authors: Rizka Ade , Sari Rahayu Mayang , Ulandari Lavenia , Pratiwi Daratika
Published: April 2023

Education and technology have a close relationship in their development. The process of implementing education has results that are indicators of success in the learning process. These results are the values that are processed or calculated based on the needs of each assessment. The value processing process will provide an overview of students' capabilities in understanding and mastering subjects. At the Panca Budi Medan Vocational School (STM) school, the value processing process is carried out without using a decision support system in the process of ranking student learning outcomes. The system used only performs value processing based on the presentation of student assessment components. So that teachers need a decision-making system that can help and facilitate the process, to avoid mistakes in ranking results and can save time. In this study, the SAW method is used as a multi-attribute decision support method in the process of ranking learning outcomes so that it can assist teachers in making decisions. Processing of value recapitulation comes from the assessment components, namely daily tests, midterm, and end of the semester from aspects of assessing students' knowledge and skills for each subject. The process of calculating the ranking of learning outcomes is carried out on sample data, namely 10 alternative students and 15 subject attributes in one class for one semester. The application of the SAW method and testing on sample data resulted in student ratings, namely alternative S5 with a value of 0.994 as the highest rank and S10 with a value of 0.908 as the lowest rank. Utilization of the system and application of the SAW method can help and make it easier for teachers to process grades and rank learning outcomes. So that based on the ranking results, teachers can improve the quality of teaching and provide solutions to deficiencies in the learning process
Analisis Sentimen Wisatawan terhadap Kualitas Layanan Hotel dan Resort di Lombok Menggunakan SERVQUAL dan CRISP-DM
Authors: Singgalen Yerik Afrianto
Published: April 2023

The era of digital transformation has sparked innovations in product and service marketing strategies in various sectors, one of which is the tourism sector. In the hospitality industry context, product marketing using website-based digital media allows consumers as hotel guests to review the products and services received. The Tripadvisor website is a digital marketing platform that provides review features for app users, especially consumers, to give ratings and reviews. This study aims to analyze the quality of hotel services using the Service Quality (SERVQUAL) framework based on the results of the classification of hotel guest sentiment data using the Naïve Bayes Classifier (NBC) and Support Vector Machine (SVM) algorithm by the stages of the Cross-Industry Standard Process for Data Mining (CRISP-DM). The CRISP-DM framework consists of six stages, namely: business understanding stage, data understanding stage, data preparation stage, modeling stage, evaluation stage, and deployment stage. The SERVQUAL framework consists of several dimensions: reliability dimension;   responsiveness; assurance;  empathy; tangibles. The review data that will be processed is the consumer review data of The Oberoi Beach Resort Lombok; Sheraton Senggigi Beach Resort; Sudamala Resort Sengiggi; Holiday Resort Lombok; Aston Sunset Beach Resort. The results of this study show that the SVM algorithm performs better than NBC, where the accuracy value is 98.57%, the precision value is 100%, the recall value is 97.14%, and the f-measure value is 98.54%. The AUC value is 100%, and the t-Test value is 98.6%. Unlike the case with the results of SVM's algorithm performance evaluation without using the SMOTE Upgrading Operator, where the accuracy value is 95.71%, the precision value is 95.71%, the recall value is 100%, and the f-measure value is 97.81%. In addition, the AUC value is 91.1%, and the t-Test value is 95.7%.
Klasifikasi Penipuan pada Rekening Bank menggunakan Pendekatan Ensemble Learning
Authors: Maghfiroh Alfiah , Findawati Yulian , Indahyanti Uce
Published: April 2023

Accounts are a collection of numbers commonly used for all transactions in the banking world, from saving, withdrawing cash, to checking account balances either directly or online using m-banking. In bank accounts and the process of opening them, there are various kinds of criminal acts committed by individuals and groups. As a bank's obligation to prevent crime so that it can provide trust to the community. In an effort to prevent criminal acts of fraud can be solved using data mining techniques, namely classification. The purpose of classification is to predict the class label of an object based on existing attributes. The classification methods used in this research are extreme gradiant boosting (XGBoost) and random forest on 22029 records. In the classification process, this study uses a percentage ratio of 90% train data and 10% test data and tuning parameters processed by randomized search cross validation. The research stages start from preprocessing to evaluation and get a train score of 99.50% and a test score of 99.59% for extreme gradiant boosting (xgboost) while random forest gets a train score of 99.46% and a test score of 99.59%. These results show that the classification results of extreme gradiant boosting (XGBoost) are better than random forest.
Implementasi Algoritma Convolutional Neural Network Untuk Klasifikasi Citra Kemasan Kardus Defect dan No Defect
Authors: Antoni Alan , Rohana Tatang , Pratama Adi Rizky
Published: April 2023

Packaging is an important aspect of a product, because packaging can affect the quality and competitiveness of the product. Damaged packaging can result in decreased product quality. One popular packaging used is corrugated cardboard type box. To visually distinguish defect and no defect cardboard packaging, there are tears, holes and dents on the defect cardboard packaging. Whereas the no defect cardboard packaging has a visual that there are no tears, holes or dents. To simplify the classification, technology is needed that can distinguish between defect and no-defect cardboard packaging. In this study the total images used as a dataset are 1300 images, which are then divided into 2 with a percentage of 80% for training data and 20% for test data. The dataset first goes through the preprocessing stage before being used. Preprocessing consists of cropping, augmentation and resizing. And also do the segmentation process using Grabcut method. Then feature extraction is also performed using Local Binary Pattern (LBP). This study uses the Convolutional Neural Network algorithm with a total of 3 convolution layers, namely 16.32 and 64 and the Adam optimizer. Four experiments were carried out by differentiating the hyperparameter epoch, the input image size and the learning rate. The results showed that the model produced with an epoch hyperparameter of 30, an input image size of 300x300 and a learning rate of 0.001 obtained the best performance with an accuracy value of 95.77%, 96% precision, 96% recall, 96% f1-score and loss of 0.1478.
PERLINDUNGAN HUKUM TERHADAP PEMEGANG HAK PERLINDUNGAN VARIETAS TANAMAN JAGUNG MANIS TALENTA
Authors: Fikria Luthfiatul
Published: April 2023

ABSTRACT

Indonesia as a state of law certainly wants a just and prosperous life and livelihood for its people in accordance with the norms and rules that have been established and apply in society. Legal protection essentially everyone has the right to legal protection, almost all legal relationships must receive protection from the law, one of which is the legal protection given to Plant Variety Protection. The establishment of a legal protection, namely in the event of a violation of the rights of the holder of the Plant Variety Protection right. The research method includes the type of normative juridical research using a statutory approach and a conceptual approach. The conclusions drawn by the author in this thesis are first, the form of legal protection for the right holder of the sweet corn variety of talent is carried out externally and internally. Second, to compensate PVP rights holders if their actions pollute the reputation of PVP rights holders. Efforts to resolve the dispute if there is a violation of the rights of the sweet corn plant variety of talent is to be able to file a civil lawsuit in the District Court.
PENTINGNYA PENGETAHUAN PERLINDUNGAN HUKUM TERHADAP HAK AZASI HEWAN PELIHARAAN BAGI WARGA NEGARA INDONESIA
Authors: Kania Delila , Tarsidi Deni Zein , Sjam Darda Abdullah , Sjam Zakki Abdillah
Published: April 2023

ABSTRACT

Pets are animals whose lives partially or completely depend on humans for certain purposes. Humans as animal owners who keep animals are obliged to fulfill the welfare of the animals they care for. The obligations of pet owners are contained in statutory regulations. The purpose of this study is to find out how the state through applicable legal provisions provides animal rights protection for pets. Knowledge of legal protection for pets must be known and implemented by all Indonesian citizens. This research uses literature study method. The results of the research show that the law in Indonesia stipulates that all matters related to animal welfare efforts are a joint obligation between the central government, regional governments, and the community. However, legal protection for animals that are not kept by humans and live on the streets or in an open environment is not specifically regulated in the legal provisions that apply in Indonesia. Legal protection that is subject to severe sanctions is more aimed at wild animals protected by the state because their habitat is almost extinct.
PENGEMBANGAN MEDIA PEMBELAJARAN POP UP BOOK BERBASIS APLIKASI FLIP BUILDER PADA MATA PELAJARAN PPKN MATERI PENERAPAN PANCASILA DALAM KONTEKS BERBANGSA TERHADAP MEMOTIVASI BELAJAR SISWA
Authors: Marlina Lina
Published: April 2023

ABSTRACT

This study aims to motivate student learning in class XI MIPA 2 SMA Negeri 5 Kota Serang with a total of 30 students, while the object of this research is student motivation. the research method used is the Research And Development research method. The use of Pop Up Book teaching materials based on the Flip Builder application is used so that students can be motivated in learning, especially in PPKn  subjects in the material for applying Pancasila in the context of the nation, the Flip Builder application pop up book is used so that PPKn  teaching materials are more interesting and students don't feel bored when learning In class, PPKn  subjects are a subject that discusses a lot about images about the nation and state, therefore PPKn  requires explanations in the form of pictures and videos or animations so that students better understand PPKn  subjects during class learning, to increase student learning motivation in When it comes to PPKn  subjects, students must be given feedback so that learning has two-way communication and so that students can develop abilities in the classroom so that student learning is more motivated.
Papel da autofagia nas respostas à acidez e ao fotoperíodo em Arabidopsis thaliana
Authors:   , Gonçalves Julia de Paiva
Published: April 2023

Devido à sua natureza séssil, as plantas são repetidamente submetidas a vários e distintos estresses ambientais. Tais estresses, ainda que moderados, são capazes de desencadear respostas prejudiciais ao crescimento vegetal causando perdas no rendimento produtivo. Em plantas submetidas a distintos estresses abióticos, a autofagia apresenta-se como um dos principais sistemas proteolíticos de atenuação dos danos. A autofagia é governada pelos denominados genes relacionados à autofagia (ATG), e está envolvida na degradação e reciclagem de constituintes citoplasmáticos, através de seu sequestro até o vacúolo. Neste trabalho, investigou- se como e em que extensão a autofagia participa das respostas (i) ao ambiente ácido e (ii) a flutuações no fotoperíodo. Para tanto, alterações fisiológicas e metabólicas ocasionadas pela deficiência do processo autofágico (mutantes atgs) em Arabidopsis thaliana submetidas a tais estresse foram avaliadas. Na primeira parte, observou-se que o gene ATG5 participa ativamente das repostas ao ambiente ácido e sua ausência culmina em danos oxidativos severos, quando comparado às plantas deficientes para o gene ATG7, que lidam de forma mais efetiva com o estresse ácido através do aumento da expressão da oxidase alternativa (AOX). Em conjunto, os resultados sugerem que o pH ácido do meio induz a senescência, principalmente em mutantes com deficiência do processo autofágico. Em síntese, a autofagia está aparentemente relacionada às respostas a condição ácida mediando a interrupção da senescência precoce. Na segunda parte deste trabalho, investigou-se como a autofagia participa na sincronização dos ritmos circadianos e sua relação com o metabolismo em resposta a flutuação no fotoperíodo (dias curtos e dias longos). De modo geral, a deficiência no processo autofágico levou à dessincronização do relógio circadiano, alterando o padrão de expressão de genes centrais envolvidos na regulação do ritmo circadiano em função da variação no fotoperíodo. Além disso, o fotoperíodo parece também coordenar a expressão de genes autofágicos, o que consequentemente ocasiona variações no metabolismo energético das plantas. Tomadas em conjunto, essas alterações metabólicas e moleculares culminam em maiores níveis de clorofila e maior fotossíntese em dias longos que se traduzem em maior crescimento e área foliar, quando comparado aos dias curtos. Assim, a autofagia é importante na sincronicidade do relógio em relação ao crescimento da parte aérea das plantas. Coletivamente, os resultados obtidos indicam a significância da autofagia nas respostas ao estresse ácido bem como na modulação e ajuste dos ritmos circadianos em plantas. Trabalhos futuros serão ainda necessários para esclarecer como e em que extensão essa aparente reprogramação metabólica e molecular modula as respostas vegetais à acidez do solo em condições de flutuação no fotoperíodo. Palavras-chave: Acidose; Fumarato; Regulação gênica; Ritmo circadiano; Senescência.
The factors affecting mortality in intensive care unit of burn center
Authors: Osman Esen  , Taner Turgut  , Cagri Tiryaki  , Mustafa Burc Yazicioglu  , Ali Ciftci  , Hayrunisa Kahraman Esen  , Admin
Published: April 2023

Objective: To determine the characteristics of patients, mortality-affecting factors and mortality rate in follow-up burn-injured patients in an intensive care setting at a burns treatment centre.
Method: The retrospective study was conducted between May and November 2014 at Kocaeli Derince Training and Research Hospital Burn Treatment Centre, Kocaeli, Turkey, and comprised data from January 2008 to January 2013 of in-patients who had been treated at the intensive care unit. The therapy outcomes and the follow-up processes were evaluated. Data was analysed using SPSS 17.
Results: Of the 381 patients, 105(27.6%) were females and 276(72.4%) were males. The overall mean age was 28.4±21.1 years. There were 52(13.6%) mortalities, while 329(86.4%) survived. The mean total body surface area was 18.3±12.9% in those who survived compared to 52±24.3% in those who died (p<0.000). The highest rate of death was observed in those aged >66 years (p<0.000).  The impact of flame burns on mortality was statistically significant (p<0.05). The impact of inhalation burns, suicide, abuse, operational requirements and systemic disease on mortality was statistically significant (p<0.05).
Conclusions: Older age, higher total body surface area, flame burns, presence of inhalation burn, third degree burn, suicide attempt, presence of systemic disease, duration of prolonged mechanical ventilation and operation requirements were found to be poor prognostic factors for survival in burn patients.
Key Words: Burn, Mortality, Risk factors, Intensive care, Burn centre.
The effect of Ramadan fasting on serum osmolality in diabetic patients
Authors: Vural Keskinler Mirac , Dincer Berna , Telci Caklili Ozge , Oguz Aytekin
Published: April 2023

Objective: To observe the changes of osmolarity levels due to fasting in Ramadan among type 2 diabetic patients.
Method: The observational study was conducted from May 16 to June 3, 2019, at the Istanbul Medeniyet University, Istanbul, Turkey, and comprised adult type 2 diabetic patients of either gender visiting the diabetes outpatient clinics during the holy month of Ramadan. Those fasting were placed in Group A, while those not fasting formed Group B. Anthropometric measurements and medications in use were recorded. Blood samples were taken in the morning and before the evening meal. Serum osmolality was calculated using serum levels of sodium, glucose and blood urea nitrogen. Data was analysed using SPSS 16.
Results: Of the 52 patients, 27(52%) were in Group A and 25(48%) were in Group B. Overall, there were 22(42%) females and 30(58%) males. The mean morning serum osmolalities of the two groups were not different (p>0.05). The mean evening serum osmolality was not significantly different than the mean morning osmolality in Group A (p=0.22). In Group B, the mean evening serum osmolality was significantly lower than the mean morning osmolality (p=0.004). No significant difference was found between mean morning and evening serum osmolalities of those taking sodium-glucose cotransporter 2 (p>0.05).
Conclusion: There was no biochemical sign of dehydration with Ramadan fasting in type 2 diabetes mellitus patients.
Clinical Trial Number: [NCT04392570] Link: https://clinicaltrials.gov/
Key Words: Fasting, Serum osmolality, Ramadan, Type 2 diabetes mellitus, SGLT-2 inhibitors.
Evaluation of bone morphology in posterior mandible - a cone-beam computed tomography (CBCT) based study
Authors: Arif Aysha , Khan Farhan Raza
Published: April 2023

Objective: To evaluate the position of the root apices of posterior teeth of mandible with inferior alveolar nerve canal and the cortical bone on cone beam computed tomography.
Method: The retrospective study was conducted from September to October 2021 at the Aga Khan University Hospital, and comprised cone beam computed tomography scans between November 2017 and October 2021 scans of healthy individuals of either gender aged 18-71 years with healthy, untreated, mandibular posterior teeth bilaterally. Shortest distance from apices of the mandibular posterior teeth to the border of inferior alveolar nerve canal, and to the mandibular buccal cortex were measured on the scans. Data was analysed using SPSS 23.
Result: Of the 106 scans, 55(52%) were males and 51(48%) were females. Of the 746 33teeth in the scans, 385(51.6%) were present in the scans of males and 361(48.4%) in those of the females. For all mandibular posterior teeth, the distances in females were shorter than males, but for the distance from root apices to the IAN canal, the difference between genders was significant for the roots of second premolar and second molar only on the left side (p0.05). Regarding the distance from the root apices to the buccal cortex, no significant difference was found between the genders, for each type of tooth, (p>0.05). Correlations between the distance from apex to inferior alveolar nerve (r<0.30) and between age and apex to buccal cortex distance (r<0.28) were weak.
Conclusions: Procedures planned apical to second premolar and second molar teeth can potentially damage the inferior alveolar nerve.
Key Words: Inferior alveolar canal, Cone bone computed tomography, Root apices.
Clinical tests accuracy in diagnosing subacromial impingement syndrome: a systematic review
Authors: Naqvi Syed Muhammad Shabbir Ali , Aqsa Sharif  , Laiba Javed  , Mashal Gul  , Hazrat Bilal Malakandi  , Aatik Arsh
Published: April 2023

Objective: To determine the sensitivity and specificity of the clinical diagnostic tests of subacromial impingement syndrome.
Method: The systematic review comprised search on PubMed, PEDro, Cochrane Library and Google Scholar databases. For prospective cohort studies published in peer-reviewed English-language journals without any time limit, at least fully describing one clinical test. Only studies with free full text available were included. Data extracted included sensitivity and specificity for each clinical test, and variations were sorted out by the 3 reviewers by discussion.
Results: Of the 4137 studies identified, 2951(71.3%) were on PubMed, 119(2.9%) PEDro, 5(0.1%) Cochrane Library and 1062(25.7%) Google Scholar. After screening out all the studies that did not match the detailed inclusion criterion, 3(0.07%) studies were selected for review; 1(33.3%) each done in Spain, Turkey and France. Overall, there were 181 aged 15-82 years; 85(47%) males and 96(53%) females. Supraspinatus palpation test had a sensitivity of 92%, while the modified Neer test had specificity of 95.56% in terms of ruling out subacromial impingement syndrome.
Conclusion: Supraspinatus palpation and modified Neer tests were found to be the most effective in the diagnosis of subacromial impingement syndrome.
Key Words: Clinical test, Diagnostic accuracy, Sensitivity, Specificity, Subacromial impingement syndrome.
Covid-19 vaccination intent in university students and influencing factors: an analytical cross-sectional study
Authors: Media Subasi Baybuga  , Hatice Ozkoc  , Senay Akgun
Published: April 2023

Objective: To determine coronavirus disease-2019 vaccination intent and factors influencing the decision among university students.
Method: The analytical cross-sectional study was conducted from 25 January - 25 February 2021 at a state university in Mugla, Turkey, and comprised undergraduate students. Data was collected using a self-designed questionnaire through Google Forms. Factors affecting vaccination intent were identified using multinomial logistic models. Data was analysed using SPSS 22.
Results: Of the 1069 subjects, 629(58.8%) were females and 440(41.2%) were males. The overall mean age of the sample was 21.34+/-2.99. Overall, 712(66.6%) students were enrolled in health-related fields, and 357(33.4%) were pursuing non-medical degrees. Besides, 578(54.1%) students intended to have the vaccine. While 458(64.3%) of the subjects studying health-related subjects intended to have the vaccine, only 120(33.8%) in other academic streams said they would get vaccinated. Students who had had the disease or had been in contact with someone who had it 102(33%) were more likely to believe that the vaccine was safe. Smoking, having a flu vaccine in the past, and having a coronavirus disease-2019 test were the factors influencing the intent to have the vaccination (p<0.05).
Conclusion: Having had a flu vaccine in the past, social media use, history of, or exposure to, coronavirus disease-2019 and enrolment in health-related programme of studies were the factors influencing the vaccination intent of the students.
Key Words: COVID-19, COVID-19 vaccine, Vaccine intent, University student, Public health.
Normal palpebral anthropometric measurements in Uygur population: a cross-sectional study
Authors: Jiang Aixin , Zhang Fan , Kurbana Mayila , Xiong Ke , Admin
Published: April 2023

Objective: To provide a normative palpebral database for the Uygur subjects to determine norms that may contribute to the diagnosis and prognosis of eyelid diseases.
Method: The cross-sectional study was conducted from March to May 2021 at the First People’s Hospital of Kashi, China, and comprised Uygur subjects of either gender aged 18-70 years. The slant, height and width of the palpebral fissure, vertical brow-upper lid distance, intercanthal distance, pupillary distance, brow height, crease height and levator function were measured. Data was analysed using SPSS 22.
Results: Of the 335 subjects having mean age 41.41±14.53 years, 165(49.3%) were males with mean age 41.08±14.23 years and 170(50.7%) were females with mean age 41.74±14.85 years. There were 107(31.9%) subjects aged 18-30 years, 115(34.3%) aged 31-50 years and 113(33.7%) aged 51-70 years. Mean palpebral fissure width and margin reflex distance of the palpebrae were significantly different in terms of gender (p<0.05). Age was also a significant factor on several counts (p<0.05).
Conclusions: Anthropometric measurements of eyelid in Uygur subjects indicated certain peculiarities.
Key Words: Eyelid, Palpebral morphology, Measurement, Epicanthus, Blepharoplasty.